lac-leman.ipynb

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   "source": [
    "# -*- coding: utf-8 -*-\n",
    "# This is a report using the data from IQAASL.\n",
    "# IQAASL was a project funded by the Swiss Confederation\n",
    "# It produces a summary of litter survey results for a defined region.\n",
    "# These charts serve as the models for the development of plagespropres.ch\n",
    "# The data is gathered by volunteers.\n",
    "# Please remember all copyrights apply, please give credit when applicable\n",
    "# The repo is maintained by the community effective January 01, 2022\n",
    "# There is ample opportunity to contribute, learn and teach\n",
    "# contact dev@hammerdirt.ch\n",
    "\n",
    "# Dies ist ein Bericht, der die Daten von IQAASL verwendet.\n",
    "# IQAASL war ein von der Schweizerischen Eidgenossenschaft finanziertes Projekt.\n",
    "# Es erstellt eine Zusammenfassung der Ergebnisse der Littering-Umfrage für eine bestimmte Region.\n",
    "# Diese Grafiken dienten als Vorlage für die Entwicklung von plagespropres.ch.\n",
    "# Die Daten werden von Freiwilligen gesammelt.\n",
    "# Bitte denken Sie daran, dass alle Copyrights gelten, bitte geben Sie den Namen an, wenn zutreffend.\n",
    "# Das Repo wird ab dem 01. Januar 2022 von der Community gepflegt.\n",
    "# Es gibt reichlich Gelegenheit, etwas beizutragen, zu lernen und zu lehren.\n",
    "# Kontakt dev@hammerdirt.ch\n",
    "\n",
    "# Il s'agit d'un rapport utilisant les données de IQAASL.\n",
    "# IQAASL était un projet financé par la Confédération suisse.\n",
    "# Il produit un résumé des résultats de l'enquête sur les déchets sauvages pour une région définie.\n",
    "# Ces tableaux ont servi de modèles pour le développement de plagespropres.ch\n",
    "# Les données sont recueillies par des bénévoles.\n",
    "# N'oubliez pas que tous les droits d'auteur s'appliquent, veuillez indiquer le crédit lorsque cela est possible.\n",
    "# Le dépôt est maintenu par la communauté à partir du 1er janvier 2022.\n",
    "# Il y a de nombreuses possibilités de contribuer, d'apprendre et d'enseigner.\n",
    "# contact dev@hammerdirt.ch\n",
    "\n",
    "# sys, file and nav packages:\n",
    "import datetime as dt\n",
    "from datetime import date, datetime, time\n",
    "from babel.dates import format_date, format_datetime, format_time, get_month_names\n",
    "import locale\n",
    "\n",
    "# math packages:\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from math import pi\n",
    "\n",
    "# charting:\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "from matplotlib import ticker\n",
    "from matplotlib.ticker import MultipleLocator\n",
    "import seaborn as sns\n",
    "from matplotlib import colors as mplcolors\n",
    "\n",
    "# build report\n",
    "from reportlab.platypus.flowables import Flowable\n",
    "from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, Image, PageBreak, KeepTogether\n",
    "from reportlab.lib.pagesizes import A4\n",
    "from reportlab.rl_config import defaultPageSize\n",
    "from reportlab.lib.units import inch, cm\n",
    "from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle\n",
    "from reportlab.lib.colors import HexColor\n",
    "from reportlab.platypus import Table, TableStyle\n",
    "from reportlab.lib import colors\n",
    "\n",
    "# the module that has all the methods for handling the data\n",
    "import resources.featuredata as featuredata\n",
    "from resources.featuredata import makeAList\n",
    "\n",
    "# home brew utitilties\n",
    "# import resources.chart_kwargs as ck\n",
    "import resources.sr_ut as sut\n",
    "\n",
    "# images and display\n",
    "from PIL import Image as PILImage\n",
    "from IPython.display import Markdown as md\n",
    "from myst_nb import glue\n",
    "\n",
    "# chart style\n",
    "sns.set_style(\"whitegrid\")\n",
    "\n",
    "# a place to save figures and a \n",
    "# method to choose formats\n",
    "save_fig_prefix = \"resources/output/\"\n",
    "\n",
    "# the arguments for formatting the image\n",
    "save_figure_kwargs = {\n",
    "    \"fname\": None,\n",
    "    \"dpi\": 300.0,\n",
    "    \"format\": \"jpeg\",\n",
    "    \"bbox_inches\": None,\n",
    "    \"pad_inches\": 0,\n",
    "    \"bbox_inches\": 'tight',\n",
    "    \"facecolor\": 'auto',\n",
    "    \"edgecolor\": 'auto',\n",
    "    \"backend\": None,\n",
    "}\n",
    "\n",
    "## !! Begin Note book variables !!\n",
    "\n",
    "# There are two language variants: german and english\n",
    "# change both: date_lang and language\n",
    "date_lang =  'de_DE.utf8'\n",
    "locale.setlocale(locale.LC_ALL, date_lang)\n",
    "\n",
    "# the date format of the survey data is defined in the module\n",
    "date_format = featuredata.date_format\n",
    "\n",
    "# the language setting use lower case: en or de\n",
    "# changing the language may require changing the unit label\n",
    "language = \"de\"\n",
    "unit_label = \"p/100 m\"\n",
    "\n",
    "# the standard date format is \"%Y-%m-%d\" if your date column is\n",
    "# not in this format it will not work.\n",
    "# these dates cover the duration of the IQAASL project\n",
    "start_date = \"2020-03-01\"\n",
    "end_date =\"2021-05-31\"\n",
    "start_end = [start_date, end_date]\n",
    "\n",
    "# the fail rate used to calculate the most common codes is\n",
    "# 50% it can be changed:\n",
    "fail_rate = 50\n",
    "\n",
    "# Changing these variables produces different reports\n",
    "# Call the map image for the area of interest\n",
    "bassin_map = \"resources/maps/lac-leman_city_labels.jpeg\"\n",
    "\n",
    "# the label for the aggregation of all data in the region\n",
    "top = \"Alle Erhebungsgebiete\"\n",
    "\n",
    "# define the feature level and components\n",
    "# the feature of interest is the Aare (aare) at the river basin (river_bassin) level.\n",
    "# the label for charting is called 'name'\n",
    "this_feature = {'slug':'lac-leman', 'name':\"Lac Léman\", 'level':'water_name_slug'}\n",
    "\n",
    "# the lake is in this survey area\n",
    "this_bassin = \"rhone\"\n",
    "# label for survey area\n",
    "bassin_label = \"Erhebungsgebiet Rhône\"\n",
    "\n",
    "# these are the smallest aggregated components\n",
    "# choices are water_name_slug=lake or river, city or location at the scale of a river bassin \n",
    "# water body or lake maybe the most appropriate\n",
    "this_level = 'city'\n",
    "\n",
    "# the doctitle is the unique name for the url of this document\n",
    "doc_title = \"lac-leman\"\n",
    "\n",
    "# identify the lakes of interest for the survey area\n",
    "lakes_of_interest = [\"lac-leman\"]    \n",
    "\n",
    "\n",
    "# !! End note book variables !!\n",
    "## data\n",
    "# Survey location details (GPS, city, land use)\n",
    "dfBeaches = pd.read_csv(\"resources/beaches_with_land_use_rates.csv\")\n",
    "# set the index of the beach data to location slug\n",
    "dfBeaches.set_index(\"slug\", inplace=True)\n",
    "\n",
    "# Survey dimensions and weights\n",
    "dfDims = pd.read_csv(\"resources/corrected_dims.csv\")\n",
    "\n",
    "# code definitions\n",
    "dxCodes = pd.read_csv(\"resources/codes_with_group_names_2015.csv\")\n",
    "dxCodes.set_index(\"code\", inplace=True)\n",
    "\n",
    "# columns that need to be renamed. Setting the language will automatically\n",
    "# change column names, code descriptions and chart annotations\n",
    "columns={\"% to agg\":\"% agg\", \"% to recreation\": \"% recreation\", \"% to woods\":\"% woods\", \"% to buildings\":\"% buildings\", \"p/100m\":\"p/100 m\"}\n",
    "\n",
    "# !key word arguments to construct feature data\n",
    "# !Note the water type allows the selection of river or lakes\n",
    "# if None then the data is aggregated together. This selection\n",
    "# is only valid for survey-area reports or other aggregated data\n",
    "# that may have survey results from both lakes and rivers.\n",
    "fd_kwargs ={\n",
    "    \"filename\": \"resources/checked_sdata_eos_2020_21.csv\",\n",
    "    \"feature_name\": this_feature['slug'], \n",
    "    \"feature_level\": this_feature['level'], \n",
    "    \"these_features\": this_feature['slug'], \n",
    "    \"component\": this_level, \n",
    "    \"columns\": columns, \n",
    "    \"language\": 'de', \n",
    "    \"unit_label\": unit_label, \n",
    "    \"fail_rate\": fail_rate,\n",
    "    \"code_data\":dxCodes,\n",
    "    \"date_range\": start_end,\n",
    "    \"water_type\": None,    \n",
    "}\n",
    "\n",
    "fdx = featuredata.Components(**fd_kwargs)\n",
    "\n",
    "# call the reports and languages\n",
    "fdx.adjustForLanguage()\n",
    "fdx.makeFeatureData()\n",
    "fdx.locationSampleTotals()\n",
    "fdx.makeDailyTotalSummary()\n",
    "fdx.materialSummary()\n",
    "fdx.mostCommon()\n",
    "fdx.codeGroupSummary()\n",
    "\n",
    "# !this is the feature data!\n",
    "fd = fdx.feature_data\n",
    "\n",
    "# !keyword args to build period data\n",
    "# the period data is all the data that was collected\n",
    "# during the same period from all the other locations\n",
    "# not included in the feature data. For a survey area\n",
    "# or river bassin these_features = feature_parent and \n",
    "# feature_level = parent_level\n",
    "period_kwargs = {\n",
    "    \"period_data\": fdx.period_data,\n",
    "    \"these_features\": this_feature['slug'],\n",
    "    \"feature_level\":this_feature['level'],\n",
    "    \"feature_parent\":this_bassin,\n",
    "    \"parent_level\": \"river_bassin\",\n",
    "    \"period_name\": bassin_label,\n",
    "    \"unit_label\": unit_label,\n",
    "    \"most_common\": fdx.most_common.index\n",
    "}\n",
    "period_data = featuredata.PeriodResults(**period_kwargs)\n",
    "\n",
    "# the rivers are considered separately\n",
    "# select only the results from rivers\n",
    "# this can be done by updating the fd_kwargs\n",
    "fd_rivers = fd_kwargs.update({\"water_type\":\"r\"})\n",
    "fdr = featuredata.Components(**fd_kwargs)\n",
    "fdr.makeFeatureData()\n",
    "\n",
    "# collects the summarized values for the feature data\n",
    "# use this to generate the summary data for the survey area\n",
    "# and the section for the rivers\n",
    "admin_kwargs = {\n",
    "    \"data\":fd,\n",
    "    \"dims_data\":dfDims,\n",
    "    \"label\": this_feature[\"name\"],\n",
    "    \"feature_component\": this_level,\n",
    "    \"date_range\":start_end,\n",
    "    **{\"dfBeaches\":dfBeaches}\n",
    "}\n",
    "admin_details = featuredata.AdministrativeSummary(**admin_kwargs)\n",
    "admin_summary = admin_details.summaryObject()\n",
    "\n",
    "# update the admin kwargs with river data to make the river summary\n",
    "admin_kwargs.update({\"data\":fdr.feature_data})\n",
    "admin_r_details = featuredata.AdministrativeSummary(**admin_kwargs)\n",
    "admin_r_summary = admin_r_details.summaryObject()\n",
    "\n",
    "# this defines the css rules for the note-book table displays\n",
    "header_row = {'selector': 'th:nth-child(1)', 'props': f'background-color: #FFF;text-align:right;'}\n",
    "even_rows = {\"selector\": 'tr:nth-child(even)', 'props': f'background-color: rgba(139, 69, 19, 0.08);'}\n",
    "odd_rows = {'selector': 'tr:nth-child(odd)', 'props': 'background: #FFF;'}\n",
    "table_font = {'selector': 'tr', 'props': 'font-size: 12px;'}\n",
    "table_data = {'selector': 'td', 'props': 'padding:6px;'}\n",
    "table_css_styles = [even_rows, odd_rows, table_font, header_row, table_data]\n",
    "\n",
    "# this defines the css rules for the note-book table displays\n",
    "header_row = {'selector': 'th:nth-child(1)', 'props': f'background-color: #FFF;text-align:right;'}\n",
    "table_font = {'selector': 'tr', 'props': 'font-size: 12px;'}\n",
    "table_data = {'selector': 'td', 'props': 'padding:6px;'}\n",
    "heat_map_css_styles = [table_font, header_row, table_data]\n",
    "\n",
    "# this is the numeric formatting for the dimensions table\n",
    "dims_table_formatter = {\n",
    "    \"Plastik (Kg)\": lambda x: featuredata.replaceDecimal(x, language),\n",
    "    \"Gesamtgewicht (Kg)\": lambda x: featuredata.replaceDecimal(x, language),\n",
    "    \"Fläche (m2)\": lambda x: featuredata.thousandsSeparator(int(x), language),\n",
    "    \"Länge (m)\": lambda x: featuredata.thousandsSeparator(int(x), language),\n",
    "    \"Erhebungen\": lambda x: featuredata.thousandsSeparator(int(x), language),\n",
    "    \"Objekte (St.)\": lambda x: featuredata.thousandsSeparator(int(x), language)\n",
    "}\n",
    "\n",
    "# formatting for mpl charts\n",
    "months = mdates.MonthLocator(interval=1)\n",
    "months_fmt = mdates.DateFormatter(\"%b\")\n",
    "days = mdates.DayLocator(interval=7)\n",
    "\n",
    "def convertPixelToCm(file_name: str = None):\n",
    "    im = PILImage.open(file_name)\n",
    "    width, height = im.size\n",
    "    dpi = im.info.get(\"dpi\", (72, 72))\n",
    "    width_cm = width / dpi[0] * 2.54\n",
    "    height_cm = height / dpi[1] * 2.54\n",
    "    \n",
    "    return width_cm, height_cm\n",
    "\n",
    "\n",
    "# pdf download is an option \n",
    "# reportlab is used to produce the document\n",
    "# the arguments for the document are captured at run time\n",
    "# capture for pdf content\n",
    "pdf_link = f'resources/pdfs/{this_feature[\"slug\"]}.pdf'\n",
    "pdfcomponents = []\n",
    "\n",
    "# pdf title and map\n",
    "pdf_title = Paragraph(this_feature[\"name\"], featuredata.title_style)\n",
    "# map_image =  Image(bassin_map, width=cm*19, height=20*cm, kind=\"proportional\", hAlign= \"CENTER\")\n",
    "\n",
    "\n",
    "pdfcomponents = featuredata.addToDoc([\n",
    "    pdf_title,    \n",
    "    featuredata.small_space,\n",
    "   \n",
    "], pdfcomponents)\n",
    "\n",
    "glue(f'{this_feature[\"slug\"]}_pdf_link', pdf_link, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "(lac-leman)=\n",
    "# Lac Léman\n",
    "\n",
    "\n",
    "| {Download}`Download </resources/pdfs/lac-leman.pdf>` | [English](https://www.plagespropres.ch/lac_leman.html) |"
   ]
  },
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   "execution_count": 2,
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    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Die Erhebungsorte sind für die Analyse nach Erhebungsgebiet gruppiert. Die Grösse der Markierung gibt einen Hinweis auf die Anzahl Abfallobjekte, die gefunden wurden.'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_city_map_caption"
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    {
     "data": {
      "application/papermill.record/text/plain": "' '"
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     "metadata": {
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       "name": "blank_caption"
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   "source": [
    "map_caption = featuredata.defaultMapCaption(language=\"de\")\n",
    "glue(f\"{this_feature['slug']}_city_map_caption\", map_caption, display=False)\n",
    "glue(\"blank_caption\", \" \", display=False)\n",
    "\n",
    "o_w, o_h = convertPixelToCm(bassin_map)\n",
    "\n",
    "f1cap = Paragraph(map_caption, style=featuredata.caption_style)\n",
    "\n",
    "figure_kwargs = {\n",
    "    \"image_file\":bassin_map,\n",
    "    \"caption\": f1cap, \n",
    "    \"original_width\":o_w,\n",
    "    \"original_height\":o_h,\n",
    "    \"desired_width\": 16,\n",
    "    \"caption_height\":.75,\n",
    "    \"hAlign\": \"CENTER\",\n",
    "}\n",
    "\n",
    "f1 = featuredata.figureAndCaptionTable(**figure_kwargs)\n",
    "\n",
    "\n",
    "new_components = [\n",
    "    f1,\n",
    "    featuredata.small_space\n",
    "    \n",
    "]\n",
    "# add those sections\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    },
    "tags": [
     "hide-input"
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   },
   "source": [
    "```{figure} resources/maps/lac-leman_city_labels.jpeg\n",
    "---\n",
    "name: lac-leman_map\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <lac-leman_map>` {glue:text}`lac-leman_city_map_caption`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Erhebungsorte"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
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     "source_hidden": true
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     "name": "#%%\n"
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   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "Im Zeitraum von März 2020  bis Mai 2021 wurden im Rahmen von 98 Datenerhebungen insgesamt 27 462 Objekte entfernt und identifiziert.  Die Ergebnisse des Lac Léman umfassen 24 Orte, 13 Gemeinden und eine Gesamtbevölkerung von etwa 443 854 Einwohnenden.\n",
       "\n",
       "*Seen*\n",
       "\n",
       ">Lac Léman\n",
       "\n",
       "*Gemeinden*\n",
       "\n",
       ">Allaman, Bourg-en-Lavaux, Genève, Gland, La Tour-de-Peilz, Lausanne, Montreux, Préverenges, Saint-Gingolph, Saint-Sulpice (VD), Tolochenaz, Versoix, Vevey\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "an_admin_summary = featuredata.makeAdminSummaryStateMent(start_date, end_date, this_feature[\"name\"], admin_summary=admin_summary)\n",
    "                      \n",
    "# collect component features and land marks\n",
    "feature_components = featuredata.collectComponentLandMarks(admin_details, language=\"de\")\n",
    "\n",
    "# markdown output\n",
    "components_markdown = [f'*{x[0]}*\\n\\n>{x[1]}\\n\\n' for x in feature_components]\n",
    "\n",
    "# add the admin summary to the pdf\n",
    "pdfcomponents = featuredata.addToDoc([\n",
    "    featuredata.smallest_space,\n",
    "    Paragraph(\"Erhebungsorte\", featuredata.section_title), \n",
    "    featuredata.small_space,\n",
    "    Paragraph(an_admin_summary , featuredata.p_style)    \n",
    "], pdfcomponents)\n",
    "\n",
    "# put that all together:\n",
    "lake_string = F\"\"\"\n",
    "{an_admin_summary}\n",
    "\n",
    "{\"\".join(components_markdown)}\n",
    "\"\"\"\n",
    "md(lake_string)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Kumulative Gesamtmengen nach Gemeinden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
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     "source_hidden": true
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     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Lac Léman: kumulierten Gewichte  und Masse für die Gemeinden'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_dims_table_caption"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/papermill.record/text/html": "<style type=\"text/css\">\n#T_319c2 tr:nth-child(even) {\n  background-color: rgba(139, 69, 19, 0.08);\n}\n#T_319c2 tr:nth-child(odd) {\n  background: #FFF;\n}\n#T_319c2 tr {\n  font-size: 12px;\n}\n#T_319c2 th:nth-child(1) {\n  background-color: #FFF;\n  text-align: right;\n}\n#T_319c2 td {\n  padding: 6px;\n}\n</style>\n<table id=\"T_319c2\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_319c2_level0_col0\" class=\"col_heading level0 col0\" >Gesamtgewicht (Kg)</th>\n      <th id=\"T_319c2_level0_col1\" class=\"col_heading level0 col1\" >Plastik (Kg)</th>\n      <th id=\"T_319c2_level0_col2\" class=\"col_heading level0 col2\" >Fläche (m2)</th>\n      <th id=\"T_319c2_level0_col3\" class=\"col_heading level0 col3\" >Länge (m)</th>\n      <th id=\"T_319c2_level0_col4\" class=\"col_heading level0 col4\" >Erhebungen</th>\n      <th id=\"T_319c2_level0_col5\" class=\"col_heading level0 col5\" >Objekte (St.)</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_319c2_level0_row0\" class=\"row_heading level0 row0\" >Lac Léman</th>\n      <td id=\"T_319c2_row0_col0\" class=\"data row0 col0\" >60,82</td>\n      <td id=\"T_319c2_row0_col1\" class=\"data row0 col1\" >32,0</td>\n      <td id=\"T_319c2_row0_col2\" class=\"data row0 col2\" >19 786</td>\n      <td id=\"T_319c2_row0_col3\" class=\"data row0 col3\" >4 520</td>\n      <td id=\"T_319c2_row0_col4\" class=\"data row0 col4\" >98</td>\n      <td id=\"T_319c2_row0_col5\" class=\"data row0 col5\" >27 462</td>\n    </tr>\n    <tr>\n      <th id=\"T_319c2_level0_row1\" class=\"row_heading level0 row1\" >Saint-Gingolph</th>\n      <td id=\"T_319c2_row1_col0\" class=\"data row1 col0\" >29,06</td>\n      <td id=\"T_319c2_row1_col1\" class=\"data row1 col1\" >17,74</td>\n      <td id=\"T_319c2_row1_col2\" class=\"data row1 col2\" >1 835</td>\n      <td id=\"T_319c2_row1_col3\" class=\"data row1 col3\" >402</td>\n      <td id=\"T_319c2_row1_col4\" class=\"data row1 col4\" >11</td>\n      <td id=\"T_319c2_row1_col5\" class=\"data row1 col5\" >7 565</td>\n    </tr>\n    <tr>\n      <th id=\"T_319c2_level0_row2\" class=\"row_heading level0 row2\" >Genève</th>\n      <td id=\"T_319c2_row2_col0\" class=\"data row2 col0\" >5,18</td>\n      <td id=\"T_319c2_row2_col1\" class=\"data row2 col1\" >3,31</td>\n      <td id=\"T_319c2_row2_col2\" class=\"data row2 col2\" >5 966</td>\n      <td id=\"T_319c2_row2_col3\" class=\"data row2 col3\" >1 299</td>\n      <td id=\"T_319c2_row2_col4\" class=\"data row2 col4\" >16</td>\n      <td id=\"T_319c2_row2_col5\" class=\"data row2 col5\" >4 060</td>\n    </tr>\n    <tr>\n      <th id=\"T_319c2_level0_row3\" class=\"row_heading level0 row3\" >Préverenges</th>\n      <td id=\"T_319c2_row3_col0\" class=\"data row3 col0\" >3,89</td>\n      <td id=\"T_319c2_row3_col1\" class=\"data row3 col1\" >2,4</td>\n      <td id=\"T_319c2_row3_col2\" class=\"data row3 col2\" >3 031</td>\n      <td id=\"T_319c2_row3_col3\" class=\"data row3 col3\" >712</td>\n      <td id=\"T_319c2_row3_col4\" class=\"data row3 col4\" >13</td>\n      <td id=\"T_319c2_row3_col5\" class=\"data row3 col5\" >3 744</td>\n    </tr>\n    <tr>\n      <th id=\"T_319c2_level0_row4\" class=\"row_heading level0 row4\" >Vevey</th>\n      <td id=\"T_319c2_row4_col0\" class=\"data row4 col0\" >3,75</td>\n      <td id=\"T_319c2_row4_col1\" class=\"data row4 col1\" >1,41</td>\n      <td id=\"T_319c2_row4_col2\" class=\"data row4 col2\" >1 739</td>\n      <td id=\"T_319c2_row4_col3\" class=\"data row4 col3\" >409</td>\n      <td id=\"T_319c2_row4_col4\" class=\"data row4 col4\" >12</td>\n      <td id=\"T_319c2_row4_col5\" class=\"data row4 col5\" >3 163</td>\n    </tr>\n    <tr>\n      <th id=\"T_319c2_level0_row5\" class=\"row_heading level0 row5\" >La Tour-de-Peilz</th>\n      <td id=\"T_319c2_row5_col0\" class=\"data row5 col0\" >5,88</td>\n      <td id=\"T_319c2_row5_col1\" class=\"data row5 col1\" >2,83</td>\n      <td id=\"T_319c2_row5_col2\" class=\"data row5 col2\" >3 609</td>\n      <td id=\"T_319c2_row5_col3\" class=\"data row5 col3\" >787</td>\n      <td id=\"T_319c2_row5_col4\" class=\"data row5 col4\" >15</td>\n      <td id=\"T_319c2_row5_col5\" class=\"data row5 col5\" >2 941</td>\n    </tr>\n    <tr>\n      <th id=\"T_319c2_level0_row6\" class=\"row_heading level0 row6\" >Saint-Sulpice (VD)</th>\n      <td id=\"T_319c2_row6_col0\" class=\"data row6 col0\" >5,24</td>\n      <td id=\"T_319c2_row6_col1\" class=\"data row6 col1\" >1,57</td>\n      <td id=\"T_319c2_row6_col2\" class=\"data row6 col2\" >670</td>\n      <td id=\"T_319c2_row6_col3\" class=\"data row6 col3\" >165</td>\n      <td id=\"T_319c2_row6_col4\" class=\"data row6 col4\" >5</td>\n      <td id=\"T_319c2_row6_col5\" class=\"data row6 col5\" >2 507</td>\n    </tr>\n    <tr>\n      <th id=\"T_319c2_level0_row7\" class=\"row_heading level0 row7\" >Lausanne</th>\n      <td id=\"T_319c2_row7_col0\" class=\"data row7 col0\" >0,82</td>\n      <td id=\"T_319c2_row7_col1\" class=\"data row7 col1\" >0,45</td>\n      <td id=\"T_319c2_row7_col2\" class=\"data row7 col2\" >445</td>\n      <td id=\"T_319c2_row7_col3\" class=\"data row7 col3\" >64</td>\n      <td id=\"T_319c2_row7_col4\" class=\"data row7 col4\" >7</td>\n      <td id=\"T_319c2_row7_col5\" class=\"data row7 col5\" >1 000</td>\n    </tr>\n    <tr>\n      <th id=\"T_319c2_level0_row8\" class=\"row_heading level0 row8\" >Montreux</th>\n      <td id=\"T_319c2_row8_col0\" class=\"data row8 col0\" >4,33</td>\n      <td id=\"T_319c2_row8_col1\" class=\"data row8 col1\" >0,61</td>\n      <td id=\"T_319c2_row8_col2\" class=\"data row8 col2\" >709</td>\n      <td id=\"T_319c2_row8_col3\" class=\"data row8 col3\" >198</td>\n      <td id=\"T_319c2_row8_col4\" class=\"data row8 col4\" >7</td>\n      <td id=\"T_319c2_row8_col5\" class=\"data row8 col5\" >739</td>\n    </tr>\n    <tr>\n      <th id=\"T_319c2_level0_row9\" class=\"row_heading level0 row9\" >Allaman</th>\n      <td id=\"T_319c2_row9_col0\" class=\"data row9 col0\" >1,24</td>\n      <td id=\"T_319c2_row9_col1\" class=\"data row9 col1\" >0,76</td>\n      <td id=\"T_319c2_row9_col2\" class=\"data row9 col2\" >333</td>\n      <td id=\"T_319c2_row9_col3\" class=\"data row9 col3\" >93</td>\n      <td id=\"T_319c2_row9_col4\" class=\"data row9 col4\" >3</td>\n      <td id=\"T_319c2_row9_col5\" class=\"data row9 col5\" >631</td>\n    </tr>\n    <tr>\n      <th id=\"T_319c2_level0_row10\" class=\"row_heading level0 row10\" >Versoix</th>\n      <td id=\"T_319c2_row10_col0\" class=\"data row10 col0\" >0,7</td>\n      <td id=\"T_319c2_row10_col1\" class=\"data row10 col1\" >0,52</td>\n      <td id=\"T_319c2_row10_col2\" class=\"data row10 col2\" >614</td>\n      <td id=\"T_319c2_row10_col3\" class=\"data row10 col3\" >190</td>\n      <td id=\"T_319c2_row10_col4\" class=\"data row10 col4\" >3</td>\n      <td id=\"T_319c2_row10_col5\" class=\"data row10 col5\" >583</td>\n    </tr>\n    <tr>\n      <th id=\"T_319c2_level0_row11\" class=\"row_heading level0 row11\" >Tolochenaz</th>\n      <td id=\"T_319c2_row11_col0\" class=\"data row11 col0\" >0,4</td>\n      <td id=\"T_319c2_row11_col1\" class=\"data row11 col1\" >0,16</td>\n      <td id=\"T_319c2_row11_col2\" class=\"data row11 col2\" >245</td>\n      <td id=\"T_319c2_row11_col3\" class=\"data row11 col3\" >85</td>\n      <td id=\"T_319c2_row11_col4\" class=\"data row11 col4\" >2</td>\n      <td id=\"T_319c2_row11_col5\" class=\"data row11 col5\" >274</td>\n    </tr>\n    <tr>\n      <th id=\"T_319c2_level0_row12\" class=\"row_heading level0 row12\" >Gland</th>\n      <td id=\"T_319c2_row12_col0\" class=\"data row12 col0\" >0,14</td>\n      <td id=\"T_319c2_row12_col1\" class=\"data row12 col1\" >0,13</td>\n      <td id=\"T_319c2_row12_col2\" class=\"data row12 col2\" >511</td>\n      <td id=\"T_319c2_row12_col3\" class=\"data row12 col3\" >92</td>\n      <td id=\"T_319c2_row12_col4\" class=\"data row12 col4\" >2</td>\n      <td id=\"T_319c2_row12_col5\" class=\"data row12 col5\" >134</td>\n    </tr>\n    <tr>\n      <th id=\"T_319c2_level0_row13\" class=\"row_heading level0 row13\" >Bourg-en-Lavaux</th>\n      <td id=\"T_319c2_row13_col0\" class=\"data row13 col0\" >0,22</td>\n      <td id=\"T_319c2_row13_col1\" class=\"data row13 col1\" >0,1</td>\n      <td id=\"T_319c2_row13_col2\" class=\"data row13 col2\" >78</td>\n      <td id=\"T_319c2_row13_col3\" class=\"data row13 col3\" >24</td>\n      <td id=\"T_319c2_row13_col4\" class=\"data row13 col4\" >2</td>\n      <td id=\"T_319c2_row13_col5\" class=\"data row13 col5\" >121</td>\n    </tr>\n  </tbody>\n</table>\n",
      "application/papermill.record/text/plain": "<pandas.io.formats.style.Styler at 0x7f1ffc362640>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_dims_table"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# the .pdf output is generated in parallel\n",
    "# this is the same as if it were on the backend where we would\n",
    "# have a specific api endpoint for .pdf requests. \n",
    "dims_table = admin_details.dimensionalSummary()\n",
    "dims_table.sort_values(by=[\"quantity\"], ascending=False, inplace=True)\n",
    "\n",
    "# apply language\n",
    "dims_table.rename(columns=featuredata.dims_table_columns_de, inplace=True)\n",
    "\n",
    "# convert to kilos\n",
    "dims_table[\"Plastik (Kg)\"] = dims_table[\"Plastik (Kg)\"]/1000\n",
    "\n",
    "# save a copy of the dims_table for working\n",
    "# formattinr to pdf will turn the numerics to strings\n",
    "# which eliminates any further calclations\n",
    "dims_df =  dims_table.copy()\n",
    "\n",
    "# these columns need formatting for locale\n",
    "thousands_separated = [\"Fläche (m2)\", \"Länge (m)\", \"Erhebungen\", \"Objekte (St.)\"]\n",
    "replace_decimal = [\"Plastik (Kg)\", \"Gesamtgewicht (Kg)\"]\n",
    "\n",
    "# format the dimensional summary for .pdf and add to components\n",
    "dims_table[thousands_separated] = dims_table[thousands_separated].applymap(lambda x: featuredata.thousandsSeparator(int(x), \"de\"))\n",
    "dims_table[replace_decimal] = dims_table[replace_decimal].applymap(lambda x: featuredata.replaceDecimal(str(round(x,2))))\n",
    "\n",
    "# a caption for the figure\n",
    "dims_table_caption = f'{this_feature[\"name\"]}: kumulierten Gewichte  und Masse für die Gemeinden'\n",
    "\n",
    "# pdf components                 \n",
    "d_chart = featuredata.aSingleStyledTable(dims_table, colWidths=[3.5*cm, 3*cm, *[2.2*cm]*(len(dims_table.columns)-1)])\n",
    "d_capt = Paragraph(dims_table_caption, featuredata.caption_style)\n",
    "a_dims_table = featuredata.tableAndCaption(d_chart, d_capt, [3.5*cm, 3*cm, *[2.2*cm]*(len(dims_table.columns)-2)])\n",
    "\n",
    "new_components = [\n",
    "    featuredata.smallest_space,\n",
    "    a_dims_table\n",
    "]\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)\n",
    "\n",
    "# this formats the table through the data frame\n",
    "dims_df[\"Plastik (Kg)\"] = dims_df[\"Plastik (Kg)\"].round(2)\n",
    "dims_df[\"Gesamtgewicht (Kg)\"] = dims_df[\"Gesamtgewicht (Kg)\"].round(2)\n",
    "dims_df[thousands_separated] = dims_df[thousands_separated].astype(\"int\")\n",
    "\n",
    "# set the index name to None so it doesn't show in the columns\n",
    "dims_df.index.name = None\n",
    "dims_df.columns.name = None\n",
    "\n",
    "\n",
    "# use the caption from the .pdf for the online figure\n",
    "glue(\"lac-leman_dims_table_caption\",dims_table_caption, display=False)\n",
    "\n",
    "# apply formatting and styles to dataframe\n",
    "q = dims_df.style.format(formatter=dims_table_formatter).set_table_styles(table_css_styles)\n",
    "\n",
    "# capture the figure before display and give it a reference number and caption\n",
    "figure_name=f'{this_feature[\"slug\"]}_dims_table'\n",
    "glue(figure_name, q, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} lac-leman_dims_table\n",
    "---\n",
    "name: 'lac-leman_dims_table'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <lac-leman_dims_table>` {glue:text}`lac-leman_dims_table_caption`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Verteilung der Erhebungsergebnisse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Links: Lac Léman, März 2020 bis Mai 2021, n = 98. Rechts: empirische Verteilungsfunktion der Erhebungsergebnisse Lac Léman.'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_sample_total_notes"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/papermill.record/image/png": 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",
      "application/papermill.record/text/plain": "<Figure size 1000x500 with 2 Axes>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_sample_totals"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# figure caption\n",
    "sample_total_notes = f'Links: {this_feature[\"name\"]}, {featuredata.dateToYearAndMonth(datetime.strptime(start_date, date_format), lang=date_lang)} bis {featuredata.dateToYearAndMonth(datetime.strptime(end_date, date_format), lang=date_lang)}, n = {admin_summary[\"loc_date\"]}. Rechts: empirische Verteilungsfunktion der Erhebungsergebnisse {this_feature[\"name\"]}.'\n",
    "glue(f'{this_feature[\"slug\"]}_sample_total_notes', sample_total_notes, display=False)\n",
    "\n",
    "dx = period_data.parentSampleTotals(parent=False)\n",
    "\n",
    "# get the monthly or quarterly results for the feature\n",
    "rsmp = fdx.sample_totals.set_index(\"date\")\n",
    "resample_plot, rate = featuredata.quarterlyOrMonthlyValues(rsmp, this_feature[\"name\"], vals=unit_label)\n",
    "\n",
    "fig, axs = plt.subplots(1,2, figsize=(10,5))\n",
    "\n",
    "# the survey totals by day\n",
    "ax = axs[0]\n",
    "\n",
    "# feature surveys\n",
    "sns.scatterplot(data=dx, x=\"date\", y=unit_label, label=top, color=\"black\", alpha=0.4,  ax=ax)\n",
    "# all other surveys\n",
    "sns.scatterplot(data=fdx.sample_totals, x=\"date\", y=unit_label, label=this_feature[\"name\"], color=\"red\", s=34, ec=\"white\", ax=ax)\n",
    "# monthly or quaterly plot\n",
    "sns.lineplot(data=resample_plot, x=resample_plot.index, y=resample_plot, label=F\"{this_feature['name']}: monatlicher Medianwert\", color=\"magenta\", ax=ax)\n",
    "# axis formatting\n",
    "ax.set_ylabel(unit_label, **featuredata.xlab_k14)\n",
    "ax.set_xlabel(\"\")\n",
    "ax.xaxis.set_minor_locator(days)\n",
    "ax.xaxis.set_major_formatter(months_fmt)\n",
    "ax.set_ylim(-50, 2000)\n",
    "# call the legend\n",
    "ax.legend()\n",
    "\n",
    "# the cumlative distributions:\n",
    "axtwo = axs[1]\n",
    "\n",
    "# the feature of interest\n",
    "feature_ecd = featuredata.ecdfOfAColumn(fdx.sample_totals, unit_label)    \n",
    "sns.lineplot(x=feature_ecd[\"x\"], y=feature_ecd[\"y\"], color=\"darkblue\", ax=axtwo, label=this_feature[\"name\"])\n",
    "\n",
    "# the other features\n",
    "other_features = featuredata.ecdfOfAColumn(dx, unit_label)\n",
    "sns.lineplot(x=other_features[\"x\"], y=other_features[\"y\"], color=\"magenta\", label=top, linewidth=1, ax=axtwo)\n",
    "\n",
    "axtwo.set_xlabel(unit_label, **featuredata.xlab_k14)\n",
    "axtwo.set_ylabel(\"Verhältnis der Erhebungen\", **featuredata.xlab_k14)\n",
    "axtwo.set_xlim(0, 3000)\n",
    "\n",
    "axtwo.xaxis.set_major_locator(MultipleLocator(500))\n",
    "axtwo.xaxis.set_minor_locator(MultipleLocator(100))\n",
    "axtwo.yaxis.set_major_locator(MultipleLocator(.1))\n",
    "axtwo.grid(which=\"minor\", visible=True, axis=\"x\", linestyle=\"--\", linewidth=1)\n",
    "\n",
    "figure_name = \"lac-leman_sample_totals\"\n",
    "sample_totals_file_name = f'{save_fig_prefix}{figure_name}.jpeg'\n",
    "save_figure_kwargs.update({\"fname\":sample_totals_file_name})\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig(**save_figure_kwargs)\n",
    "glue(f'{this_feature[\"slug\"]}_sample_totals', fig, display=False)\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} lac-leman_sample_totals\n",
    "---\n",
    "name: 'lac-leman_sample_totals'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <lac-leman_sample_totals>` {glue:text}`lac-leman_sample_total_notes`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Zusammengefasste Daten und Materialarten"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Zusammenfassung der Daten aller Erhebungen am Lac Léman. Gefundene Materialarten am Lac Léman in Stückzahlen und als prozentuale Anteile (stückzahlbezogen).'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_sample_summaries_caption"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/papermill.record/image/png": 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",
      "application/papermill.record/text/plain": "<Figure size 700x360 with 2 Axes>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_sample_summaries"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# figure caption\n",
    "summary_of_survey_totals = f'Zusammenfassung der Daten aller Erhebungen am {this_feature[\"name\"]}. Gefundene Materialarten am {this_feature[\"name\"]} in Stückzahlen und als prozentuale Anteile (stückzahlbezogen).'\n",
    "\n",
    "# add to pdf\n",
    "csx = fdx.sample_summary.copy()\n",
    "combined_summary =[(x, featuredata.thousandsSeparator(int(csx[x]), language)) for x in csx.index]\n",
    "\n",
    "# the materials table\n",
    "fd_mat_totals = fdx.material_summary.copy()\n",
    "fd_mat_totals = featuredata.fmtPctOfTotal(fd_mat_totals, around=0)\n",
    "\n",
    "# applly new column names for printing\n",
    "cols_to_use = {\"material\":\"Material\",\"quantity\":\"Objekte (St.)\", \"% of total\":\"Anteil\"}\n",
    "fd_mat_t = fd_mat_totals[cols_to_use.keys()].values\n",
    "fd_mat_t = [(x[0], featuredata.thousandsSeparator(int(x[1]), language), x[2]) for x in fd_mat_t]\n",
    "\n",
    "# make tables\n",
    "fig, axs = plt.subplots(1,2, figsize=(7, len(combined_summary)*.4))\n",
    "\n",
    "# summary table\n",
    "# names for the table columns\n",
    "a_col = [this_feature[\"name\"], \"Total\"]\n",
    "\n",
    "axone = axs[0]\n",
    "sut.hide_spines_ticks_grids(axone)\n",
    "\n",
    "table_two = sut.make_a_table(axone, combined_summary,  colLabels=a_col, colWidths=[.75,.25],  bbox=[0,0,1,1], **{\"loc\":\"lower center\"})\n",
    "table_two.get_celld()[(0,0)].get_text().set_text(\" \")\n",
    "table_two.set_fontsize(10)\n",
    "\n",
    "# material table\n",
    "axtwo = axs[1]\n",
    "axtwo.set_xlabel(\" \")\n",
    "sut.hide_spines_ticks_grids(axtwo)\n",
    "\n",
    "table_three = sut.make_a_table(axtwo, fd_mat_t,  colLabels=list(cols_to_use.values()), colWidths=[.4, .4,.2],  bbox=[0,0,1,1], **{\"loc\":\"lower center\"})\n",
    "table_three.get_celld()[(0,0)].get_text().set_text(\" \")\n",
    "table_three.set_fontsize(10)\n",
    "plt.tight_layout()\n",
    "plt.subplots_adjust(wspace=0.1)\n",
    "plt.margins(0, 0)\n",
    "figure_name = f'{this_feature[\"slug\"]}_sample_summaries'\n",
    "sample_summaries_file_name = f'{save_fig_prefix}{figure_name}.jpeg'\n",
    "save_figure_kwargs.update({\"fname\":sample_summaries_file_name})\n",
    "\n",
    "plt.savefig(**save_figure_kwargs)\n",
    "\n",
    "glue(f'{this_feature[\"slug\"]}_sample_summaries_caption', summary_of_survey_totals, display=False)\n",
    "glue(figure_name, fig, display=False)\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} lac-leman_sample_summaries\n",
    "---\n",
    "name: 'lac-leman_sample_summaries'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <lac-leman_sample_summaries>` {glue:text}`lac-leman_sample_summaries_caption` "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Die am häufigsten gefundenen Objekte\n",
    "\n",
    "Die am häufigsten gefundenen Objekte sind die zehn mengenmässig am meisten vorkommenden Objekte und/oder Objekte, die in mindestens 50 % aller Datenerhebungen identifiziert wurden (Häufigkeitsrate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Häufigste Objekte im Lac Léman: d. h. Objekte mit einer Häufigkeitsrate von mindestens 50% und/oder Top Ten nach Anzahl. Zusammengenommen machen die häufigsten Objekte 82% aller gefundenen Objekte aus. Anmerkung: p/100 m = Medianwert der Erhebung.'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_most_common_caption"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/papermill.record/text/html": "<style type=\"text/css\">\n#T_fa109 tr:nth-child(even) {\n  background-color: rgba(139, 69, 19, 0.08);\n}\n#T_fa109 tr:nth-child(odd) {\n  background: #FFF;\n}\n#T_fa109 tr {\n  font-size: 12px;\n}\n#T_fa109 th:nth-child(1) {\n  background-color: #FFF;\n  text-align: right;\n}\n#T_fa109 td {\n  padding: 6px;\n}\n</style>\n<table id=\"T_fa109\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_fa109_level0_col0\" class=\"col_heading level0 col0\" >Objekte (St.)</th>\n      <th id=\"T_fa109_level0_col1\" class=\"col_heading level0 col1\" >Anteil</th>\n      <th id=\"T_fa109_level0_col2\" class=\"col_heading level0 col2\" >Häufigkeitsrate</th>\n      <th id=\"T_fa109_level0_col3\" class=\"col_heading level0 col3\" >p/100 m</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_fa109_level0_row0\" class=\"row_heading level0 row0\" >Fragmentierte Kunststoffe</th>\n      <td id=\"T_fa109_row0_col0\" class=\"data row0 col0\" >4 212</td>\n      <td id=\"T_fa109_row0_col1\" class=\"data row0 col1\" >15%</td>\n      <td id=\"T_fa109_row0_col2\" class=\"data row0 col2\" >96%</td>\n      <td id=\"T_fa109_row0_col3\" class=\"data row0 col3\" >61,5</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row1\" class=\"row_heading level0 row1\" >Expandiertes Polystyrol</th>\n      <td id=\"T_fa109_row1_col0\" class=\"data row1 col0\" >3 586</td>\n      <td id=\"T_fa109_row1_col1\" class=\"data row1 col1\" >13%</td>\n      <td id=\"T_fa109_row1_col2\" class=\"data row1 col2\" >83%</td>\n      <td id=\"T_fa109_row1_col3\" class=\"data row1 col3\" >26,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row2\" class=\"row_heading level0 row2\" >Zigarettenfilter</th>\n      <td id=\"T_fa109_row2_col0\" class=\"data row2 col0\" >3 116</td>\n      <td id=\"T_fa109_row2_col1\" class=\"data row2 col1\" >11%</td>\n      <td id=\"T_fa109_row2_col2\" class=\"data row2 col2\" >94%</td>\n      <td id=\"T_fa109_row2_col3\" class=\"data row2 col3\" >47,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row3\" class=\"row_heading level0 row3\" >Snack-Verpackungen</th>\n      <td id=\"T_fa109_row3_col0\" class=\"data row3 col0\" >1 679</td>\n      <td id=\"T_fa109_row3_col1\" class=\"data row3 col1\" >6%</td>\n      <td id=\"T_fa109_row3_col2\" class=\"data row3 col2\" >95%</td>\n      <td id=\"T_fa109_row3_col3\" class=\"data row3 col3\" >21,5</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row4\" class=\"row_heading level0 row4\" >Industriepellets (Nurdles)</th>\n      <td id=\"T_fa109_row4_col0\" class=\"data row4 col0\" >1 387</td>\n      <td id=\"T_fa109_row4_col1\" class=\"data row4 col1\" >5%</td>\n      <td id=\"T_fa109_row4_col2\" class=\"data row4 col2\" >46%</td>\n      <td id=\"T_fa109_row4_col3\" class=\"data row4 col3\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row5\" class=\"row_heading level0 row5\" >Wattestäbchen/Tupfer</th>\n      <td id=\"T_fa109_row5_col0\" class=\"data row5 col0\" >1 112</td>\n      <td id=\"T_fa109_row5_col1\" class=\"data row5 col1\" >4%</td>\n      <td id=\"T_fa109_row5_col2\" class=\"data row5 col2\" >81%</td>\n      <td id=\"T_fa109_row5_col3\" class=\"data row5 col3\" >12,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row6\" class=\"row_heading level0 row6\" >Schaumstoffverpackungen/Isolierung</th>\n      <td id=\"T_fa109_row6_col0\" class=\"data row6 col0\" >1 112</td>\n      <td id=\"T_fa109_row6_col1\" class=\"data row6 col1\" >4%</td>\n      <td id=\"T_fa109_row6_col2\" class=\"data row6 col2\" >77%</td>\n      <td id=\"T_fa109_row6_col3\" class=\"data row6 col3\" >10,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row7\" class=\"row_heading level0 row7\" >Industriefolie (Kunststoff)</th>\n      <td id=\"T_fa109_row7_col0\" class=\"data row7 col0\" >1 058</td>\n      <td id=\"T_fa109_row7_col1\" class=\"data row7 col1\" >3%</td>\n      <td id=\"T_fa109_row7_col2\" class=\"data row7 col2\" >77%</td>\n      <td id=\"T_fa109_row7_col3\" class=\"data row7 col3\" >9,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row8\" class=\"row_heading level0 row8\" >Styropor < 5mm</th>\n      <td id=\"T_fa109_row8_col0\" class=\"data row8 col0\" >689</td>\n      <td id=\"T_fa109_row8_col1\" class=\"data row8 col1\" >2%</td>\n      <td id=\"T_fa109_row8_col2\" class=\"data row8 col2\" >29%</td>\n      <td id=\"T_fa109_row8_col3\" class=\"data row8 col3\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row9\" class=\"row_heading level0 row9\" >Kunststoff-Bauabfälle</th>\n      <td id=\"T_fa109_row9_col0\" class=\"data row9 col0\" >584</td>\n      <td id=\"T_fa109_row9_col1\" class=\"data row9 col1\" >2%</td>\n      <td id=\"T_fa109_row9_col2\" class=\"data row9 col2\" >66%</td>\n      <td id=\"T_fa109_row9_col3\" class=\"data row9 col3\" >5,5</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row10\" class=\"row_heading level0 row10\" > Getränkeflaschen aus Glas, Glasfragmente</th>\n      <td id=\"T_fa109_row10_col0\" class=\"data row10 col0\" >510</td>\n      <td id=\"T_fa109_row10_col1\" class=\"data row10 col1\" >1%</td>\n      <td id=\"T_fa109_row10_col2\" class=\"data row10 col2\" >58%</td>\n      <td id=\"T_fa109_row10_col3\" class=\"data row10 col3\" >3,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row11\" class=\"row_heading level0 row11\" >Getränke-Deckel, Getränkeverschluss</th>\n      <td id=\"T_fa109_row11_col0\" class=\"data row11 col0\" >425</td>\n      <td id=\"T_fa109_row11_col1\" class=\"data row11 col1\" >1%</td>\n      <td id=\"T_fa109_row11_col2\" class=\"data row11 col2\" >56%</td>\n      <td id=\"T_fa109_row11_col3\" class=\"data row11 col3\" >2,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row12\" class=\"row_heading level0 row12\" >Ringe von Plastikflaschen/Behältern</th>\n      <td id=\"T_fa109_row12_col0\" class=\"data row12 col0\" >349</td>\n      <td id=\"T_fa109_row12_col1\" class=\"data row12 col1\" >1%</td>\n      <td id=\"T_fa109_row12_col2\" class=\"data row12 col2\" >73%</td>\n      <td id=\"T_fa109_row12_col3\" class=\"data row12 col3\" >4,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row13\" class=\"row_heading level0 row13\" >Schrotflintenpatronen</th>\n      <td id=\"T_fa109_row13_col0\" class=\"data row13 col0\" >345</td>\n      <td id=\"T_fa109_row13_col1\" class=\"data row13 col1\" >1%</td>\n      <td id=\"T_fa109_row13_col2\" class=\"data row13 col2\" >52%</td>\n      <td id=\"T_fa109_row13_col3\" class=\"data row13 col3\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row14\" class=\"row_heading level0 row14\" >Kronkorken, Lasche von Dose/Ausfreisslachen</th>\n      <td id=\"T_fa109_row14_col0\" class=\"data row14 col0\" >308</td>\n      <td id=\"T_fa109_row14_col1\" class=\"data row14 col1\" >1%</td>\n      <td id=\"T_fa109_row14_col2\" class=\"data row14 col2\" >71%</td>\n      <td id=\"T_fa109_row14_col3\" class=\"data row14 col3\" >3,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row15\" class=\"row_heading level0 row15\" >Tabak; Kunststoffverpackungen, Behälter</th>\n      <td id=\"T_fa109_row15_col0\" class=\"data row15 col0\" >295</td>\n      <td id=\"T_fa109_row15_col1\" class=\"data row15 col1\" >1%</td>\n      <td id=\"T_fa109_row15_col2\" class=\"data row15 col2\" >55%</td>\n      <td id=\"T_fa109_row15_col3\" class=\"data row15 col3\" >2,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row16\" class=\"row_heading level0 row16\" >Lebensmittelbehälter zum einmaligen Gebrauch aus Schaumstoff oder Kunststoff</th>\n      <td id=\"T_fa109_row16_col0\" class=\"data row16 col0\" >288</td>\n      <td id=\"T_fa109_row16_col1\" class=\"data row16 col1\" >1%</td>\n      <td id=\"T_fa109_row16_col2\" class=\"data row16 col2\" >51%</td>\n      <td id=\"T_fa109_row16_col3\" class=\"data row16 col3\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row17\" class=\"row_heading level0 row17\" >Strohhalme und Rührstäbchen</th>\n      <td id=\"T_fa109_row17_col0\" class=\"data row17 col0\" >278</td>\n      <td id=\"T_fa109_row17_col1\" class=\"data row17 col1\" >1%</td>\n      <td id=\"T_fa109_row17_col2\" class=\"data row17 col2\" >73%</td>\n      <td id=\"T_fa109_row17_col3\" class=\"data row17 col3\" >4,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row18\" class=\"row_heading level0 row18\" >unidentifizierte Deckel</th>\n      <td id=\"T_fa109_row18_col0\" class=\"data row18 col0\" >262</td>\n      <td id=\"T_fa109_row18_col1\" class=\"data row18 col1\" >0%</td>\n      <td id=\"T_fa109_row18_col2\" class=\"data row18 col2\" >58%</td>\n      <td id=\"T_fa109_row18_col3\" class=\"data row18 col3\" >2,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row19\" class=\"row_heading level0 row19\" >Schleckstengel, Stengel von Lutscher</th>\n      <td id=\"T_fa109_row19_col0\" class=\"data row19 col0\" >237</td>\n      <td id=\"T_fa109_row19_col1\" class=\"data row19 col1\" >0%</td>\n      <td id=\"T_fa109_row19_col2\" class=\"data row19 col2\" >66%</td>\n      <td id=\"T_fa109_row19_col3\" class=\"data row19 col3\" >3,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row20\" class=\"row_heading level0 row20\" >Einwegartikel; Tassen/Becher & Deckel</th>\n      <td id=\"T_fa109_row20_col0\" class=\"data row20 col0\" >196</td>\n      <td id=\"T_fa109_row20_col1\" class=\"data row20 col1\" >0%</td>\n      <td id=\"T_fa109_row20_col2\" class=\"data row20 col2\" >57%</td>\n      <td id=\"T_fa109_row20_col3\" class=\"data row20 col3\" >2,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row21\" class=\"row_heading level0 row21\" >Spielzeug und Partyartikel</th>\n      <td id=\"T_fa109_row21_col0\" class=\"data row21 col0\" >192</td>\n      <td id=\"T_fa109_row21_col1\" class=\"data row21 col1\" >0%</td>\n      <td id=\"T_fa109_row21_col2\" class=\"data row21 col2\" >63%</td>\n      <td id=\"T_fa109_row21_col3\" class=\"data row21 col3\" >2,5</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row22\" class=\"row_heading level0 row22\" >Verpackungen aus Aluminiumfolie</th>\n      <td id=\"T_fa109_row22_col0\" class=\"data row22 col0\" >177</td>\n      <td id=\"T_fa109_row22_col1\" class=\"data row22 col1\" >0%</td>\n      <td id=\"T_fa109_row22_col2\" class=\"data row22 col2\" >56%</td>\n      <td id=\"T_fa109_row22_col3\" class=\"data row22 col3\" >2,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_fa109_level0_row23\" class=\"row_heading level0 row23\" >Medizin; Behälter/Röhrchen/Verpackungen</th>\n      <td id=\"T_fa109_row23_col0\" class=\"data row23 col0\" >176</td>\n      <td id=\"T_fa109_row23_col1\" class=\"data row23 col1\" >0%</td>\n      <td id=\"T_fa109_row23_col2\" class=\"data row23 col2\" >61%</td>\n      <td id=\"T_fa109_row23_col3\" class=\"data row23 col3\" >2,0</td>\n    </tr>\n  </tbody>\n</table>\n",
      "application/papermill.record/text/plain": "<pandas.io.formats.style.Styler at 0x7f1f8d5055e0>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_most_common_tables"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# add summary tables to pdf\n",
    "sample_summary_subsection = Paragraph(\"Verteilung der Erhebungsergebnisse\", featuredata.subsection_title)\n",
    "s_totals = Image(sample_totals_file_name, width=16*cm, height=10*cm, kind=\"proportional\", hAlign= \"CENTER\")\n",
    "s_totals_caption = Paragraph(sample_total_notes, featuredata.caption_style)\n",
    "samp_mat_subsection = Paragraph(\"Zusammengefasste Daten und Materialarten\", featuredata.subsection_title)\n",
    "samp_material_table = Image(sample_summaries_file_name , width=12*cm, height=10*cm, kind=\"proportional\", hAlign= \"CENTER\")\n",
    "samp_material_caption = Paragraph(summary_of_survey_totals, featuredata.caption_style)\n",
    "\n",
    "o_w, o_h = convertPixelToCm(sample_totals_file_name)\n",
    "\n",
    "f2cap = Paragraph(sample_total_notes, featuredata.caption_style)\n",
    "\n",
    "figure_kwargs = {\n",
    "    \"image_file\":sample_totals_file_name,\n",
    "    \"caption\": f2cap, \n",
    "    \"original_width\":o_w,\n",
    "    \"original_height\":o_h,\n",
    "    \"desired_width\": 15,\n",
    "    \"caption_height\":.75,\n",
    "    \"hAlign\": \"CENTER\",\n",
    "}\n",
    "\n",
    "f2 = featuredata.figureAndCaptionTable(**figure_kwargs)\n",
    "\n",
    "o_w, o_h = convertPixelToCm(sample_summaries_file_name)\n",
    "\n",
    "f3cap = Paragraph(summary_of_survey_totals, featuredata.caption_style)\n",
    "\n",
    "figure_kwargs = {\n",
    "    \"image_file\":sample_summaries_file_name,\n",
    "    \"caption\": f3cap, \n",
    "    \"original_width\":o_w,\n",
    "    \"original_height\":o_h,\n",
    "    \"desired_width\": 12,\n",
    "    \"caption_height\":.75,\n",
    "    \"hAlign\": \"CENTER\",\n",
    "}\n",
    "\n",
    "f3 = featuredata.figureAndCaptionTable(**figure_kwargs)\n",
    "\n",
    "new_components = [KeepTogether([\n",
    "    featuredata.small_space,\n",
    "    sample_summary_subsection,\n",
    "    featuredata.small_space,\n",
    "    f2,\n",
    "    featuredata.small_space,\n",
    "    samp_mat_subsection,\n",
    "    featuredata.small_space,\n",
    "    f3,\n",
    "    \n",
    "]), PageBreak()]\n",
    "\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)\n",
    "\n",
    "# the most common results\n",
    "most_common_display = fdx.most_common\n",
    "\n",
    "# language appropriate columns\n",
    "cols_to_use = featuredata.most_common_objects_table_de\n",
    "cols_to_use.update({unit_label:unit_label})\n",
    "\n",
    "# data for display\n",
    "most_common_display.rename(columns=cols_to_use, inplace=True)\n",
    "most_common_display = most_common_display[cols_to_use.values()].copy()\n",
    "most_common_display = most_common_display.set_index(\"Objekte\", drop=True)\n",
    "\n",
    "# .pdf output\n",
    "data = most_common_display.copy()\n",
    "data[\"Anteil\"] = data[\"Anteil\"].map(lambda x: f\"{int(x)}%\")\n",
    "data['Objekte (St.)'] = data['Objekte (St.)'].map(lambda x:featuredata.thousandsSeparator(x, language))\n",
    "data['Häufigkeitsrate'] = data['Häufigkeitsrate'].map(lambda x: f\"{x}%\")\n",
    "data[unit_label] = data[unit_label].map(lambda x: featuredata.replaceDecimal(round(x,1)))\n",
    "\n",
    "# make caption\n",
    "# get percent of total to make the caption string\n",
    "m_common_percent_of_total = fdx.most_common['Objekte (St.)'].sum()/fdx.code_summary['quantity'].sum()\n",
    "\n",
    "mc_caption_string = [\n",
    "    f'Häufigste Objekte im {this_feature[\"name\"]}: ',\n",
    "    'd. h. Objekte mit einer Häufigkeitsrate von mindestens 50% und/oder ',\n",
    "    f'Top Ten nach Anzahl. Zusammengenommen machen die häufigsten Objekte {int(m_common_percent_of_total*100)}% ',\n",
    "    f'aller gefundenen Objekte aus. Anmerkung: {unit_label} = Medianwert der Erhebung.'\n",
    "]\n",
    "\n",
    "mc_caption_string = \"\".join(mc_caption_string)\n",
    "\n",
    "colwidths = [4.5*cm, 2.2*cm, 2*cm, 2.8*cm, 2*cm]\n",
    "\n",
    "# pdf_mc_table  = featuredata.aStyledTable(data, caption=mc_caption_string, colWidths=[4.5*cm, 2.2*cm, 2*cm, 2.8*cm, 2*cm])\n",
    "d_chart = featuredata.aSingleStyledTable(data, colWidths=colwidths)\n",
    "d_capt = Paragraph(mc_caption_string, featuredata.caption_style)\n",
    "mc_table = featuredata.tableAndCaption(d_chart, d_capt, colwidths)\n",
    "most_common_display.index.name = None\n",
    "most_common_display.columns.name = None\n",
    "\n",
    "# set pandas display\n",
    "aformatter = {\n",
    "    \"Anteil\":lambda x: f\"{int(x)}%\",\n",
    "    f\"{unit_label}\": lambda x: featuredata.replaceDecimal(x, \"de\"),\n",
    "    \"Häufigkeitsrate\": lambda x: f\"{int(x)}%\",   \n",
    "    \"Objekte (St.)\": lambda x: featuredata.thousandsSeparator(int(x), \"de\")\n",
    "}\n",
    "\n",
    "mcd = most_common_display.style.format(aformatter).set_table_styles(table_css_styles)\n",
    "glue('lac-leman_most_common_caption', mc_caption_string, display=False)\n",
    "glue('lac-leman_most_common_tables', mcd, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} lac-leman_most_common_tables\n",
    "---\n",
    "name: 'lac-leman_most_common_tables'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <lac-leman_most_common_tables>` {glue:text}`lac-leman_most_common_caption`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Die am häufigsten gefundenen Objekte nach Gemeinden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Median p/100 m der häufigsten Objekte am Lac Léman.'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_mc_heat_map_caption"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
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#T_9cbc1_level0_col14, #T_9cbc1_level0_col15 {\n  writing-mode: vertical-lr;\n  transform: rotate(-180deg);\n  padding: 10px;\n  margins: 0;\n  vertical-align: baseline;\n}\n</style>\n<table id=\"T_9cbc1\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_9cbc1_level0_col0\" class=\"col_heading level0 col0\" >Allaman</th>\n      <th id=\"T_9cbc1_level0_col1\" class=\"col_heading level0 col1\" >Bourg-en-Lavaux</th>\n      <th id=\"T_9cbc1_level0_col2\" class=\"col_heading level0 col2\" >Genève</th>\n      <th id=\"T_9cbc1_level0_col3\" class=\"col_heading level0 col3\" >Gland</th>\n      <th id=\"T_9cbc1_level0_col4\" class=\"col_heading level0 col4\" >La Tour-de-Peilz</th>\n      <th id=\"T_9cbc1_level0_col5\" class=\"col_heading level0 col5\" >Lausanne</th>\n      <th id=\"T_9cbc1_level0_col6\" class=\"col_heading level0 col6\" >Montreux</th>\n      <th id=\"T_9cbc1_level0_col7\" class=\"col_heading level0 col7\" >Préverenges</th>\n      <th id=\"T_9cbc1_level0_col8\" class=\"col_heading level0 col8\" >Saint-Gingolph</th>\n      <th id=\"T_9cbc1_level0_col9\" class=\"col_heading level0 col9\" >Saint-Sulpice (VD)</th>\n      <th id=\"T_9cbc1_level0_col10\" class=\"col_heading level0 col10\" >Tolochenaz</th>\n      <th id=\"T_9cbc1_level0_col11\" class=\"col_heading level0 col11\" >Versoix</th>\n      <th id=\"T_9cbc1_level0_col12\" class=\"col_heading level0 col12\" >Vevey</th>\n      <th id=\"T_9cbc1_level0_col13\" class=\"col_heading level0 col13\" >Lac Léman</th>\n      <th id=\"T_9cbc1_level0_col14\" class=\"col_heading level0 col14\" >Erhebungsgebiet Rhône</th>\n      <th id=\"T_9cbc1_level0_col15\" class=\"col_heading level0 col15\" >Alle Erhebungsgebiete</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_9cbc1_level0_row0\" class=\"row_heading level0 row0\" > Getränkeflaschen aus Glas, Glasfragmente</th>\n      <td id=\"T_9cbc1_row0_col0\" class=\"data row0 col0\" >0,0</td>\n      <td id=\"T_9cbc1_row0_col1\" class=\"data row0 col1\" >21,0</td>\n      <td id=\"T_9cbc1_row0_col2\" class=\"data row0 col2\" >1,5</td>\n      <td id=\"T_9cbc1_row0_col3\" class=\"data row0 col3\" >2,5</td>\n      <td id=\"T_9cbc1_row0_col4\" class=\"data row0 col4\" >4,0</td>\n      <td id=\"T_9cbc1_row0_col5\" class=\"data row0 col5\" >40,0</td>\n      <td id=\"T_9cbc1_row0_col6\" class=\"data row0 col6\" >29,0</td>\n      <td id=\"T_9cbc1_row0_col7\" class=\"data row0 col7\" >0,0</td>\n      <td id=\"T_9cbc1_row0_col8\" class=\"data row0 col8\" >3,0</td>\n      <td id=\"T_9cbc1_row0_col9\" class=\"data row0 col9\" >43,0</td>\n      <td id=\"T_9cbc1_row0_col10\" class=\"data row0 col10\" >8,0</td>\n      <td id=\"T_9cbc1_row0_col11\" class=\"data row0 col11\" >1,0</td>\n      <td id=\"T_9cbc1_row0_col12\" class=\"data row0 col12\" >9,0</td>\n      <td id=\"T_9cbc1_row0_col13\" class=\"data row0 col13\" >3,0</td>\n      <td id=\"T_9cbc1_row0_col14\" class=\"data row0 col14\" >2,0</td>\n      <td id=\"T_9cbc1_row0_col15\" class=\"data row0 col15\" >3,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row1\" class=\"row_heading level0 row1\" >Einwegartikel; Tassen/Becher & Deckel</th>\n      <td id=\"T_9cbc1_row1_col0\" class=\"data row1 col0\" >6,0</td>\n      <td id=\"T_9cbc1_row1_col1\" class=\"data row1 col1\" >4,0</td>\n      <td id=\"T_9cbc1_row1_col2\" class=\"data row1 col2\" >0,0</td>\n      <td id=\"T_9cbc1_row1_col3\" class=\"data row1 col3\" >0,0</td>\n      <td id=\"T_9cbc1_row1_col4\" class=\"data row1 col4\" >1,0</td>\n      <td id=\"T_9cbc1_row1_col5\" class=\"data row1 col5\" >0,0</td>\n      <td id=\"T_9cbc1_row1_col6\" class=\"data row1 col6\" >0,0</td>\n      <td id=\"T_9cbc1_row1_col7\" class=\"data row1 col7\" >2,0</td>\n      <td id=\"T_9cbc1_row1_col8\" class=\"data row1 col8\" >21,0</td>\n      <td id=\"T_9cbc1_row1_col9\" class=\"data row1 col9\" >4,0</td>\n      <td id=\"T_9cbc1_row1_col10\" class=\"data row1 col10\" >0,0</td>\n      <td id=\"T_9cbc1_row1_col11\" class=\"data row1 col11\" >2,0</td>\n      <td id=\"T_9cbc1_row1_col12\" class=\"data row1 col12\" >1,0</td>\n      <td id=\"T_9cbc1_row1_col13\" class=\"data row1 col13\" >2,0</td>\n      <td id=\"T_9cbc1_row1_col14\" class=\"data row1 col14\" >2,0</td>\n      <td id=\"T_9cbc1_row1_col15\" class=\"data row1 col15\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row2\" class=\"row_heading level0 row2\" >Expandiertes Polystyrol</th>\n      <td id=\"T_9cbc1_row2_col0\" class=\"data row2 col0\" >22,0</td>\n      <td id=\"T_9cbc1_row2_col1\" class=\"data row2 col1\" >29,5</td>\n      <td id=\"T_9cbc1_row2_col2\" class=\"data row2 col2\" >1,0</td>\n      <td id=\"T_9cbc1_row2_col3\" class=\"data row2 col3\" >6,5</td>\n      <td id=\"T_9cbc1_row2_col4\" class=\"data row2 col4\" >22,0</td>\n      <td id=\"T_9cbc1_row2_col5\" class=\"data row2 col5\" >100,0</td>\n      <td id=\"T_9cbc1_row2_col6\" class=\"data row2 col6\" >29,0</td>\n      <td id=\"T_9cbc1_row2_col7\" class=\"data row2 col7\" >34,0</td>\n      <td id=\"T_9cbc1_row2_col8\" class=\"data row2 col8\" >334,0</td>\n      <td id=\"T_9cbc1_row2_col9\" class=\"data row2 col9\" >144,0</td>\n      <td id=\"T_9cbc1_row2_col10\" class=\"data row2 col10\" >26,5</td>\n      <td id=\"T_9cbc1_row2_col11\" class=\"data row2 col11\" >2,0</td>\n      <td id=\"T_9cbc1_row2_col12\" class=\"data row2 col12\" >30,5</td>\n      <td id=\"T_9cbc1_row2_col13\" class=\"data row2 col13\" >26,0</td>\n      <td id=\"T_9cbc1_row2_col14\" class=\"data row2 col14\" >17,5</td>\n      <td id=\"T_9cbc1_row2_col15\" class=\"data row2 col15\" >5,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row3\" class=\"row_heading level0 row3\" >Fragmentierte Kunststoffe</th>\n      <td id=\"T_9cbc1_row3_col0\" class=\"data row3 col0\" >151,0</td>\n      <td id=\"T_9cbc1_row3_col1\" class=\"data row3 col1\" >125,0</td>\n      <td id=\"T_9cbc1_row3_col2\" class=\"data row3 col2\" >15,5</td>\n      <td id=\"T_9cbc1_row3_col3\" class=\"data row3 col3\" >16,0</td>\n      <td id=\"T_9cbc1_row3_col4\" class=\"data row3 col4\" >32,0</td>\n      <td id=\"T_9cbc1_row3_col5\" class=\"data row3 col5\" >120,0</td>\n      <td id=\"T_9cbc1_row3_col6\" class=\"data row3 col6\" >28,0</td>\n      <td id=\"T_9cbc1_row3_col7\" class=\"data row3 col7\" >46,0</td>\n      <td id=\"T_9cbc1_row3_col8\" class=\"data row3 col8\" >256,0</td>\n      <td id=\"T_9cbc1_row3_col9\" class=\"data row3 col9\" >172,0</td>\n      <td id=\"T_9cbc1_row3_col10\" class=\"data row3 col10\" >68,5</td>\n      <td id=\"T_9cbc1_row3_col11\" class=\"data row3 col11\" >87,0</td>\n      <td id=\"T_9cbc1_row3_col12\" class=\"data row3 col12\" >32,0</td>\n      <td id=\"T_9cbc1_row3_col13\" class=\"data row3 col13\" >61,5</td>\n      <td id=\"T_9cbc1_row3_col14\" class=\"data row3 col14\" >48,0</td>\n      <td id=\"T_9cbc1_row3_col15\" class=\"data row3 col15\" >18,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row4\" class=\"row_heading level0 row4\" >Getränke-Deckel, Getränkeverschluss</th>\n      <td id=\"T_9cbc1_row4_col0\" class=\"data row4 col0\" >10,0</td>\n      <td id=\"T_9cbc1_row4_col1\" class=\"data row4 col1\" >4,0</td>\n      <td id=\"T_9cbc1_row4_col2\" class=\"data row4 col2\" >0,0</td>\n      <td id=\"T_9cbc1_row4_col3\" class=\"data row4 col3\" >1,0</td>\n      <td id=\"T_9cbc1_row4_col4\" class=\"data row4 col4\" >0,0</td>\n      <td id=\"T_9cbc1_row4_col5\" class=\"data row4 col5\" >0,0</td>\n      <td id=\"T_9cbc1_row4_col6\" class=\"data row4 col6\" >4,0</td>\n      <td id=\"T_9cbc1_row4_col7\" class=\"data row4 col7\" >2,0</td>\n      <td id=\"T_9cbc1_row4_col8\" class=\"data row4 col8\" >55,0</td>\n      <td id=\"T_9cbc1_row4_col9\" class=\"data row4 col9\" >2,0</td>\n      <td id=\"T_9cbc1_row4_col10\" class=\"data row4 col10\" >0,0</td>\n      <td id=\"T_9cbc1_row4_col11\" class=\"data row4 col11\" >6,0</td>\n      <td id=\"T_9cbc1_row4_col12\" class=\"data row4 col12\" >0,0</td>\n      <td id=\"T_9cbc1_row4_col13\" class=\"data row4 col13\" >2,0</td>\n      <td id=\"T_9cbc1_row4_col14\" class=\"data row4 col14\" >1,0</td>\n      <td id=\"T_9cbc1_row4_col15\" class=\"data row4 col15\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row5\" class=\"row_heading level0 row5\" >Industriefolie (Kunststoff)</th>\n      <td id=\"T_9cbc1_row5_col0\" class=\"data row5 col0\" >33,0</td>\n      <td id=\"T_9cbc1_row5_col1\" class=\"data row5 col1\" >0,0</td>\n      <td id=\"T_9cbc1_row5_col2\" class=\"data row5 col2\" >0,0</td>\n      <td id=\"T_9cbc1_row5_col3\" class=\"data row5 col3\" >0,0</td>\n      <td id=\"T_9cbc1_row5_col4\" class=\"data row5 col4\" >8,0</td>\n      <td id=\"T_9cbc1_row5_col5\" class=\"data row5 col5\" >17,0</td>\n      <td id=\"T_9cbc1_row5_col6\" class=\"data row5 col6\" >7,0</td>\n      <td id=\"T_9cbc1_row5_col7\" class=\"data row5 col7\" >10,0</td>\n      <td id=\"T_9cbc1_row5_col8\" class=\"data row5 col8\" >92,0</td>\n      <td id=\"T_9cbc1_row5_col9\" class=\"data row5 col9\" >27,0</td>\n      <td id=\"T_9cbc1_row5_col10\" class=\"data row5 col10\" >17,0</td>\n      <td id=\"T_9cbc1_row5_col11\" class=\"data row5 col11\" >7,0</td>\n      <td id=\"T_9cbc1_row5_col12\" class=\"data row5 col12\" >12,0</td>\n      <td id=\"T_9cbc1_row5_col13\" class=\"data row5 col13\" >9,0</td>\n      <td id=\"T_9cbc1_row5_col14\" class=\"data row5 col14\" >9,0</td>\n      <td id=\"T_9cbc1_row5_col15\" class=\"data row5 col15\" >5,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row6\" class=\"row_heading level0 row6\" >Industriepellets (Nurdles)</th>\n      <td id=\"T_9cbc1_row6_col0\" class=\"data row6 col0\" >0,0</td>\n      <td id=\"T_9cbc1_row6_col1\" class=\"data row6 col1\" >4,0</td>\n      <td id=\"T_9cbc1_row6_col2\" class=\"data row6 col2\" >3,5</td>\n      <td id=\"T_9cbc1_row6_col3\" class=\"data row6 col3\" >0,0</td>\n      <td id=\"T_9cbc1_row6_col4\" class=\"data row6 col4\" >0,0</td>\n      <td id=\"T_9cbc1_row6_col5\" class=\"data row6 col5\" >53,0</td>\n      <td id=\"T_9cbc1_row6_col6\" class=\"data row6 col6\" >0,0</td>\n      <td id=\"T_9cbc1_row6_col7\" class=\"data row6 col7\" >58,0</td>\n      <td id=\"T_9cbc1_row6_col8\" class=\"data row6 col8\" >3,0</td>\n      <td id=\"T_9cbc1_row6_col9\" class=\"data row6 col9\" >68,0</td>\n      <td id=\"T_9cbc1_row6_col10\" class=\"data row6 col10\" >0,0</td>\n      <td id=\"T_9cbc1_row6_col11\" class=\"data row6 col11\" >2,0</td>\n      <td id=\"T_9cbc1_row6_col12\" class=\"data row6 col12\" >0,0</td>\n      <td id=\"T_9cbc1_row6_col13\" class=\"data row6 col13\" >0,0</td>\n      <td id=\"T_9cbc1_row6_col14\" class=\"data row6 col14\" >0,0</td>\n      <td id=\"T_9cbc1_row6_col15\" class=\"data row6 col15\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row7\" class=\"row_heading level0 row7\" >Kronkorken, Lasche von Dose/Ausfreisslachen</th>\n      <td id=\"T_9cbc1_row7_col0\" class=\"data row7 col0\" >5,0</td>\n      <td id=\"T_9cbc1_row7_col1\" class=\"data row7 col1\" >0,0</td>\n      <td id=\"T_9cbc1_row7_col2\" class=\"data row7 col2\" >7,0</td>\n      <td id=\"T_9cbc1_row7_col3\" class=\"data row7 col3\" >3,0</td>\n      <td id=\"T_9cbc1_row7_col4\" class=\"data row7 col4\" >3,0</td>\n      <td id=\"T_9cbc1_row7_col5\" class=\"data row7 col5\" >12,0</td>\n      <td id=\"T_9cbc1_row7_col6\" class=\"data row7 col6\" >3,0</td>\n      <td id=\"T_9cbc1_row7_col7\" class=\"data row7 col7\" >2,0</td>\n      <td id=\"T_9cbc1_row7_col8\" class=\"data row7 col8\" >3,0</td>\n      <td id=\"T_9cbc1_row7_col9\" class=\"data row7 col9\" >5,0</td>\n      <td id=\"T_9cbc1_row7_col10\" class=\"data row7 col10\" >4,0</td>\n      <td id=\"T_9cbc1_row7_col11\" class=\"data row7 col11\" >0,0</td>\n      <td id=\"T_9cbc1_row7_col12\" class=\"data row7 col12\" >5,0</td>\n      <td id=\"T_9cbc1_row7_col13\" class=\"data row7 col13\" >3,0</td>\n      <td id=\"T_9cbc1_row7_col14\" class=\"data row7 col14\" >3,0</td>\n      <td id=\"T_9cbc1_row7_col15\" class=\"data row7 col15\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row8\" class=\"row_heading level0 row8\" >Kunststoff-Bauabfälle</th>\n      <td id=\"T_9cbc1_row8_col0\" class=\"data row8 col0\" >13,0</td>\n      <td id=\"T_9cbc1_row8_col1\" class=\"data row8 col1\" >25,0</td>\n      <td id=\"T_9cbc1_row8_col2\" class=\"data row8 col2\" >0,0</td>\n      <td id=\"T_9cbc1_row8_col3\" class=\"data row8 col3\" >6,0</td>\n      <td id=\"T_9cbc1_row8_col4\" class=\"data row8 col4\" >4,0</td>\n      <td id=\"T_9cbc1_row8_col5\" class=\"data row8 col5\" >0,0</td>\n      <td id=\"T_9cbc1_row8_col6\" class=\"data row8 col6\" >0,0</td>\n      <td id=\"T_9cbc1_row8_col7\" class=\"data row8 col7\" >4,0</td>\n      <td id=\"T_9cbc1_row8_col8\" class=\"data row8 col8\" >85,0</td>\n      <td id=\"T_9cbc1_row8_col9\" class=\"data row8 col9\" >15,0</td>\n      <td id=\"T_9cbc1_row8_col10\" class=\"data row8 col10\" >6,5</td>\n      <td id=\"T_9cbc1_row8_col11\" class=\"data row8 col11\" >12,0</td>\n      <td id=\"T_9cbc1_row8_col12\" class=\"data row8 col12\" >9,0</td>\n      <td id=\"T_9cbc1_row8_col13\" class=\"data row8 col13\" >5,5</td>\n      <td id=\"T_9cbc1_row8_col14\" class=\"data row8 col14\" >5,5</td>\n      <td id=\"T_9cbc1_row8_col15\" class=\"data row8 col15\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row9\" class=\"row_heading level0 row9\" >Lebensmittelbehälter zum einmaligen Gebrauch aus Schaumstoff oder Kunststoff</th>\n      <td id=\"T_9cbc1_row9_col0\" class=\"data row9 col0\" >3,0</td>\n      <td id=\"T_9cbc1_row9_col1\" class=\"data row9 col1\" >0,0</td>\n      <td id=\"T_9cbc1_row9_col2\" class=\"data row9 col2\" >0,0</td>\n      <td id=\"T_9cbc1_row9_col3\" class=\"data row9 col3\" >2,5</td>\n      <td id=\"T_9cbc1_row9_col4\" class=\"data row9 col4\" >4,0</td>\n      <td id=\"T_9cbc1_row9_col5\" class=\"data row9 col5\" >0,0</td>\n      <td id=\"T_9cbc1_row9_col6\" class=\"data row9 col6\" >0,0</td>\n      <td id=\"T_9cbc1_row9_col7\" class=\"data row9 col7\" >0,0</td>\n      <td id=\"T_9cbc1_row9_col8\" class=\"data row9 col8\" >27,0</td>\n      <td id=\"T_9cbc1_row9_col9\" class=\"data row9 col9\" >5,0</td>\n      <td id=\"T_9cbc1_row9_col10\" class=\"data row9 col10\" >3,0</td>\n      <td id=\"T_9cbc1_row9_col11\" class=\"data row9 col11\" >0,0</td>\n      <td id=\"T_9cbc1_row9_col12\" class=\"data row9 col12\" >2,0</td>\n      <td id=\"T_9cbc1_row9_col13\" class=\"data row9 col13\" >1,0</td>\n      <td id=\"T_9cbc1_row9_col14\" class=\"data row9 col14\" >0,0</td>\n      <td id=\"T_9cbc1_row9_col15\" class=\"data row9 col15\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row10\" class=\"row_heading level0 row10\" >Medizin; Behälter/Röhrchen/Verpackungen</th>\n      <td id=\"T_9cbc1_row10_col0\" class=\"data row10 col0\" >8,0</td>\n      <td id=\"T_9cbc1_row10_col1\" class=\"data row10 col1\" >8,0</td>\n      <td id=\"T_9cbc1_row10_col2\" class=\"data row10 col2\" >0,0</td>\n      <td id=\"T_9cbc1_row10_col3\" class=\"data row10 col3\" >2,0</td>\n      <td id=\"T_9cbc1_row10_col4\" class=\"data row10 col4\" >2,0</td>\n      <td id=\"T_9cbc1_row10_col5\" class=\"data row10 col5\" >20,0</td>\n      <td id=\"T_9cbc1_row10_col6\" class=\"data row10 col6\" >0,0</td>\n      <td id=\"T_9cbc1_row10_col7\" class=\"data row10 col7\" >1,0</td>\n      <td id=\"T_9cbc1_row10_col8\" class=\"data row10 col8\" >15,0</td>\n      <td id=\"T_9cbc1_row10_col9\" class=\"data row10 col9\" >27,0</td>\n      <td id=\"T_9cbc1_row10_col10\" class=\"data row10 col10\" >3,0</td>\n      <td id=\"T_9cbc1_row10_col11\" class=\"data row10 col11\" >2,0</td>\n      <td id=\"T_9cbc1_row10_col12\" class=\"data row10 col12\" >3,5</td>\n      <td id=\"T_9cbc1_row10_col13\" class=\"data row10 col13\" >2,0</td>\n      <td id=\"T_9cbc1_row10_col14\" class=\"data row10 col14\" >2,0</td>\n      <td id=\"T_9cbc1_row10_col15\" class=\"data row10 col15\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row11\" class=\"row_heading level0 row11\" >Ringe von Plastikflaschen/Behältern</th>\n      <td id=\"T_9cbc1_row11_col0\" class=\"data row11 col0\" >10,0</td>\n      <td id=\"T_9cbc1_row11_col1\" class=\"data row11 col1\" >12,5</td>\n      <td id=\"T_9cbc1_row11_col2\" class=\"data row11 col2\" >1,0</td>\n      <td id=\"T_9cbc1_row11_col3\" class=\"data row11 col3\" >9,0</td>\n      <td id=\"T_9cbc1_row11_col4\" class=\"data row11 col4\" >4,0</td>\n      <td id=\"T_9cbc1_row11_col5\" class=\"data row11 col5\" >0,0</td>\n      <td id=\"T_9cbc1_row11_col6\" class=\"data row11 col6\" >0,0</td>\n      <td id=\"T_9cbc1_row11_col7\" class=\"data row11 col7\" >6,0</td>\n      <td id=\"T_9cbc1_row11_col8\" class=\"data row11 col8\" >23,0</td>\n      <td id=\"T_9cbc1_row11_col9\" class=\"data row11 col9\" >11,0</td>\n      <td id=\"T_9cbc1_row11_col10\" class=\"data row11 col10\" >1,0</td>\n      <td id=\"T_9cbc1_row11_col11\" class=\"data row11 col11\" >4,0</td>\n      <td id=\"T_9cbc1_row11_col12\" class=\"data row11 col12\" >3,0</td>\n      <td id=\"T_9cbc1_row11_col13\" class=\"data row11 col13\" >4,0</td>\n      <td id=\"T_9cbc1_row11_col14\" class=\"data row11 col14\" >4,0</td>\n      <td id=\"T_9cbc1_row11_col15\" class=\"data row11 col15\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row12\" class=\"row_heading level0 row12\" >Schaumstoffverpackungen/Isolierung</th>\n      <td id=\"T_9cbc1_row12_col0\" class=\"data row12 col0\" >9,0</td>\n      <td id=\"T_9cbc1_row12_col1\" class=\"data row12 col1\" >8,5</td>\n      <td id=\"T_9cbc1_row12_col2\" class=\"data row12 col2\" >1,5</td>\n      <td id=\"T_9cbc1_row12_col3\" class=\"data row12 col3\" >12,0</td>\n      <td id=\"T_9cbc1_row12_col4\" class=\"data row12 col4\" >15,0</td>\n      <td id=\"T_9cbc1_row12_col5\" class=\"data row12 col5\" >76,0</td>\n      <td id=\"T_9cbc1_row12_col6\" class=\"data row12 col6\" >18,0</td>\n      <td id=\"T_9cbc1_row12_col7\" class=\"data row12 col7\" >11,0</td>\n      <td id=\"T_9cbc1_row12_col8\" class=\"data row12 col8\" >58,0</td>\n      <td id=\"T_9cbc1_row12_col9\" class=\"data row12 col9\" >74,0</td>\n      <td id=\"T_9cbc1_row12_col10\" class=\"data row12 col10\" >0,0</td>\n      <td id=\"T_9cbc1_row12_col11\" class=\"data row12 col11\" >4,0</td>\n      <td id=\"T_9cbc1_row12_col12\" class=\"data row12 col12\" >2,5</td>\n      <td id=\"T_9cbc1_row12_col13\" class=\"data row12 col13\" >10,0</td>\n      <td id=\"T_9cbc1_row12_col14\" class=\"data row12 col14\" >7,0</td>\n      <td id=\"T_9cbc1_row12_col15\" class=\"data row12 col15\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row13\" class=\"row_heading level0 row13\" >Schleckstengel, Stengel von Lutscher</th>\n      <td id=\"T_9cbc1_row13_col0\" class=\"data row13 col0\" >6,0</td>\n      <td id=\"T_9cbc1_row13_col1\" class=\"data row13 col1\" >4,0</td>\n      <td id=\"T_9cbc1_row13_col2\" class=\"data row13 col2\" >0,0</td>\n      <td id=\"T_9cbc1_row13_col3\" class=\"data row13 col3\" >4,5</td>\n      <td id=\"T_9cbc1_row13_col4\" class=\"data row13 col4\" >3,0</td>\n      <td id=\"T_9cbc1_row13_col5\" class=\"data row13 col5\" >17,0</td>\n      <td id=\"T_9cbc1_row13_col6\" class=\"data row13 col6\" >0,0</td>\n      <td id=\"T_9cbc1_row13_col7\" class=\"data row13 col7\" >0,0</td>\n      <td id=\"T_9cbc1_row13_col8\" class=\"data row13 col8\" >28,0</td>\n      <td id=\"T_9cbc1_row13_col9\" class=\"data row13 col9\" >5,0</td>\n      <td id=\"T_9cbc1_row13_col10\" class=\"data row13 col10\" >5,0</td>\n      <td id=\"T_9cbc1_row13_col11\" class=\"data row13 col11\" >2,0</td>\n      <td id=\"T_9cbc1_row13_col12\" class=\"data row13 col12\" >7,0</td>\n      <td id=\"T_9cbc1_row13_col13\" class=\"data row13 col13\" >3,0</td>\n      <td id=\"T_9cbc1_row13_col14\" class=\"data row13 col14\" >2,5</td>\n      <td id=\"T_9cbc1_row13_col15\" class=\"data row13 col15\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row14\" class=\"row_heading level0 row14\" >Schrotflintenpatronen</th>\n      <td id=\"T_9cbc1_row14_col0\" class=\"data row14 col0\" >17,0</td>\n      <td id=\"T_9cbc1_row14_col1\" class=\"data row14 col1\" >12,5</td>\n      <td id=\"T_9cbc1_row14_col2\" class=\"data row14 col2\" >0,0</td>\n      <td id=\"T_9cbc1_row14_col3\" class=\"data row14 col3\" >2,5</td>\n      <td id=\"T_9cbc1_row14_col4\" class=\"data row14 col4\" >2,0</td>\n      <td id=\"T_9cbc1_row14_col5\" class=\"data row14 col5\" >0,0</td>\n      <td id=\"T_9cbc1_row14_col6\" class=\"data row14 col6\" >0,0</td>\n      <td id=\"T_9cbc1_row14_col7\" class=\"data row14 col7\" >0,0</td>\n      <td id=\"T_9cbc1_row14_col8\" class=\"data row14 col8\" >61,0</td>\n      <td id=\"T_9cbc1_row14_col9\" class=\"data row14 col9\" >4,0</td>\n      <td id=\"T_9cbc1_row14_col10\" class=\"data row14 col10\" >0,0</td>\n      <td id=\"T_9cbc1_row14_col11\" class=\"data row14 col11\" >2,0</td>\n      <td id=\"T_9cbc1_row14_col12\" class=\"data row14 col12\" >2,5</td>\n      <td id=\"T_9cbc1_row14_col13\" class=\"data row14 col13\" >1,0</td>\n      <td id=\"T_9cbc1_row14_col14\" class=\"data row14 col14\" >0,5</td>\n      <td id=\"T_9cbc1_row14_col15\" class=\"data row14 col15\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row15\" class=\"row_heading level0 row15\" >Snack-Verpackungen</th>\n      <td id=\"T_9cbc1_row15_col0\" class=\"data row15 col0\" >62,0</td>\n      <td id=\"T_9cbc1_row15_col1\" class=\"data row15 col1\" >8,0</td>\n      <td id=\"T_9cbc1_row15_col2\" class=\"data row15 col2\" >15,0</td>\n      <td id=\"T_9cbc1_row15_col3\" class=\"data row15 col3\" >8,0</td>\n      <td id=\"T_9cbc1_row15_col4\" class=\"data row15 col4\" >12,0</td>\n      <td id=\"T_9cbc1_row15_col5\" class=\"data row15 col5\" >50,0</td>\n      <td id=\"T_9cbc1_row15_col6\" class=\"data row15 col6\" >9,0</td>\n      <td id=\"T_9cbc1_row15_col7\" class=\"data row15 col7\" >16,0</td>\n      <td id=\"T_9cbc1_row15_col8\" class=\"data row15 col8\" >77,0</td>\n      <td id=\"T_9cbc1_row15_col9\" class=\"data row15 col9\" >49,0</td>\n      <td id=\"T_9cbc1_row15_col10\" class=\"data row15 col10\" >1,0</td>\n      <td id=\"T_9cbc1_row15_col11\" class=\"data row15 col11\" >17,0</td>\n      <td id=\"T_9cbc1_row15_col12\" class=\"data row15 col12\" >41,5</td>\n      <td id=\"T_9cbc1_row15_col13\" class=\"data row15 col13\" >21,5</td>\n      <td id=\"T_9cbc1_row15_col14\" class=\"data row15 col14\" >19,0</td>\n      <td id=\"T_9cbc1_row15_col15\" class=\"data row15 col15\" >9,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row16\" class=\"row_heading level0 row16\" >Spielzeug und Partyartikel</th>\n      <td id=\"T_9cbc1_row16_col0\" class=\"data row16 col0\" >8,0</td>\n      <td id=\"T_9cbc1_row16_col1\" class=\"data row16 col1\" >12,5</td>\n      <td id=\"T_9cbc1_row16_col2\" class=\"data row16 col2\" >0,0</td>\n      <td id=\"T_9cbc1_row16_col3\" class=\"data row16 col3\" >1,0</td>\n      <td id=\"T_9cbc1_row16_col4\" class=\"data row16 col4\" >2,0</td>\n      <td id=\"T_9cbc1_row16_col5\" class=\"data row16 col5\" >0,0</td>\n      <td id=\"T_9cbc1_row16_col6\" class=\"data row16 col6\" >2,0</td>\n      <td id=\"T_9cbc1_row16_col7\" class=\"data row16 col7\" >2,0</td>\n      <td id=\"T_9cbc1_row16_col8\" class=\"data row16 col8\" >14,0</td>\n      <td id=\"T_9cbc1_row16_col9\" class=\"data row16 col9\" >4,0</td>\n      <td id=\"T_9cbc1_row16_col10\" class=\"data row16 col10\" >2,0</td>\n      <td id=\"T_9cbc1_row16_col11\" class=\"data row16 col11\" >3,0</td>\n      <td id=\"T_9cbc1_row16_col12\" class=\"data row16 col12\" >1,5</td>\n      <td id=\"T_9cbc1_row16_col13\" class=\"data row16 col13\" >2,5</td>\n      <td id=\"T_9cbc1_row16_col14\" class=\"data row16 col14\" >2,0</td>\n      <td id=\"T_9cbc1_row16_col15\" class=\"data row16 col15\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row17\" class=\"row_heading level0 row17\" >Strohhalme und Rührstäbchen</th>\n      <td id=\"T_9cbc1_row17_col0\" class=\"data row17 col0\" >17,0</td>\n      <td id=\"T_9cbc1_row17_col1\" class=\"data row17 col1\" >8,5</td>\n      <td id=\"T_9cbc1_row17_col2\" class=\"data row17 col2\" >1,0</td>\n      <td id=\"T_9cbc1_row17_col3\" class=\"data row17 col3\" >1,0</td>\n      <td id=\"T_9cbc1_row17_col4\" class=\"data row17 col4\" >1,0</td>\n      <td id=\"T_9cbc1_row17_col5\" class=\"data row17 col5\" >11,0</td>\n      <td id=\"T_9cbc1_row17_col6\" class=\"data row17 col6\" >3,0</td>\n      <td id=\"T_9cbc1_row17_col7\" class=\"data row17 col7\" >2,0</td>\n      <td id=\"T_9cbc1_row17_col8\" class=\"data row17 col8\" >16,0</td>\n      <td id=\"T_9cbc1_row17_col9\" class=\"data row17 col9\" >10,0</td>\n      <td id=\"T_9cbc1_row17_col10\" class=\"data row17 col10\" >4,0</td>\n      <td id=\"T_9cbc1_row17_col11\" class=\"data row17 col11\" >6,0</td>\n      <td id=\"T_9cbc1_row17_col12\" class=\"data row17 col12\" >6,5</td>\n      <td id=\"T_9cbc1_row17_col13\" class=\"data row17 col13\" >4,0</td>\n      <td id=\"T_9cbc1_row17_col14\" class=\"data row17 col14\" >3,5</td>\n      <td id=\"T_9cbc1_row17_col15\" class=\"data row17 col15\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row18\" class=\"row_heading level0 row18\" >Styropor < 5mm</th>\n      <td id=\"T_9cbc1_row18_col0\" class=\"data row18 col0\" >0,0</td>\n      <td id=\"T_9cbc1_row18_col1\" class=\"data row18 col1\" >0,0</td>\n      <td id=\"T_9cbc1_row18_col2\" class=\"data row18 col2\" >0,0</td>\n      <td id=\"T_9cbc1_row18_col3\" class=\"data row18 col3\" >0,0</td>\n      <td id=\"T_9cbc1_row18_col4\" class=\"data row18 col4\" >0,0</td>\n      <td id=\"T_9cbc1_row18_col5\" class=\"data row18 col5\" >0,0</td>\n      <td id=\"T_9cbc1_row18_col6\" class=\"data row18 col6\" >0,0</td>\n      <td id=\"T_9cbc1_row18_col7\" class=\"data row18 col7\" >0,0</td>\n      <td id=\"T_9cbc1_row18_col8\" class=\"data row18 col8\" >18,0</td>\n      <td id=\"T_9cbc1_row18_col9\" class=\"data row18 col9\" >2,0</td>\n      <td id=\"T_9cbc1_row18_col10\" class=\"data row18 col10\" >19,0</td>\n      <td id=\"T_9cbc1_row18_col11\" class=\"data row18 col11\" >0,0</td>\n      <td id=\"T_9cbc1_row18_col12\" class=\"data row18 col12\" >26,0</td>\n      <td id=\"T_9cbc1_row18_col13\" class=\"data row18 col13\" >0,0</td>\n      <td id=\"T_9cbc1_row18_col14\" class=\"data row18 col14\" >0,0</td>\n      <td id=\"T_9cbc1_row18_col15\" class=\"data row18 col15\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row19\" class=\"row_heading level0 row19\" >Tabak; Kunststoffverpackungen, Behälter</th>\n      <td id=\"T_9cbc1_row19_col0\" class=\"data row19 col0\" >8,0</td>\n      <td id=\"T_9cbc1_row19_col1\" class=\"data row19 col1\" >0,0</td>\n      <td id=\"T_9cbc1_row19_col2\" class=\"data row19 col2\" >0,0</td>\n      <td id=\"T_9cbc1_row19_col3\" class=\"data row19 col3\" >1,0</td>\n      <td id=\"T_9cbc1_row19_col4\" class=\"data row19 col4\" >1,0</td>\n      <td id=\"T_9cbc1_row19_col5\" class=\"data row19 col5\" >7,0</td>\n      <td id=\"T_9cbc1_row19_col6\" class=\"data row19 col6\" >0,0</td>\n      <td id=\"T_9cbc1_row19_col7\" class=\"data row19 col7\" >4,0</td>\n      <td id=\"T_9cbc1_row19_col8\" class=\"data row19 col8\" >16,0</td>\n      <td id=\"T_9cbc1_row19_col9\" class=\"data row19 col9\" >0,0</td>\n      <td id=\"T_9cbc1_row19_col10\" class=\"data row19 col10\" >0,0</td>\n      <td id=\"T_9cbc1_row19_col11\" class=\"data row19 col11\" >3,0</td>\n      <td id=\"T_9cbc1_row19_col12\" class=\"data row19 col12\" >4,0</td>\n      <td id=\"T_9cbc1_row19_col13\" class=\"data row19 col13\" >2,0</td>\n      <td id=\"T_9cbc1_row19_col14\" class=\"data row19 col14\" >1,0</td>\n      <td id=\"T_9cbc1_row19_col15\" class=\"data row19 col15\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row20\" class=\"row_heading level0 row20\" >Verpackungen aus Aluminiumfolie</th>\n      <td id=\"T_9cbc1_row20_col0\" class=\"data row20 col0\" >0,0</td>\n      <td id=\"T_9cbc1_row20_col1\" class=\"data row20 col1\" >4,0</td>\n      <td id=\"T_9cbc1_row20_col2\" class=\"data row20 col2\" >2,5</td>\n      <td id=\"T_9cbc1_row20_col3\" class=\"data row20 col3\" >3,0</td>\n      <td id=\"T_9cbc1_row20_col4\" class=\"data row20 col4\" >0,0</td>\n      <td id=\"T_9cbc1_row20_col5\" class=\"data row20 col5\" >13,0</td>\n      <td id=\"T_9cbc1_row20_col6\" class=\"data row20 col6\" >0,0</td>\n      <td id=\"T_9cbc1_row20_col7\" class=\"data row20 col7\" >2,0</td>\n      <td id=\"T_9cbc1_row20_col8\" class=\"data row20 col8\" >0,0</td>\n      <td id=\"T_9cbc1_row20_col9\" class=\"data row20 col9\" >17,0</td>\n      <td id=\"T_9cbc1_row20_col10\" class=\"data row20 col10\" >0,0</td>\n      <td id=\"T_9cbc1_row20_col11\" class=\"data row20 col11\" >0,0</td>\n      <td id=\"T_9cbc1_row20_col12\" class=\"data row20 col12\" >5,0</td>\n      <td id=\"T_9cbc1_row20_col13\" class=\"data row20 col13\" >2,0</td>\n      <td id=\"T_9cbc1_row20_col14\" class=\"data row20 col14\" >1,0</td>\n      <td id=\"T_9cbc1_row20_col15\" class=\"data row20 col15\" >0,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row21\" class=\"row_heading level0 row21\" >Wattestäbchen/Tupfer</th>\n      <td id=\"T_9cbc1_row21_col0\" class=\"data row21 col0\" >81,0</td>\n      <td id=\"T_9cbc1_row21_col1\" class=\"data row21 col1\" >45,5</td>\n      <td id=\"T_9cbc1_row21_col2\" class=\"data row21 col2\" >2,0</td>\n      <td id=\"T_9cbc1_row21_col3\" class=\"data row21 col3\" >7,0</td>\n      <td id=\"T_9cbc1_row21_col4\" class=\"data row21 col4\" >7,0</td>\n      <td id=\"T_9cbc1_row21_col5\" class=\"data row21 col5\" >60,0</td>\n      <td id=\"T_9cbc1_row21_col6\" class=\"data row21 col6\" >6,0</td>\n      <td id=\"T_9cbc1_row21_col7\" class=\"data row21 col7\" >12,0</td>\n      <td id=\"T_9cbc1_row21_col8\" class=\"data row21 col8\" >125,0</td>\n      <td id=\"T_9cbc1_row21_col9\" class=\"data row21 col9\" >36,0</td>\n      <td id=\"T_9cbc1_row21_col10\" class=\"data row21 col10\" >12,0</td>\n      <td id=\"T_9cbc1_row21_col11\" class=\"data row21 col11\" >14,0</td>\n      <td id=\"T_9cbc1_row21_col12\" class=\"data row21 col12\" >6,5</td>\n      <td id=\"T_9cbc1_row21_col13\" class=\"data row21 col13\" >12,0</td>\n      <td id=\"T_9cbc1_row21_col14\" class=\"data row21 col14\" >10,5</td>\n      <td id=\"T_9cbc1_row21_col15\" class=\"data row21 col15\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row22\" class=\"row_heading level0 row22\" >Zigarettenfilter</th>\n      <td id=\"T_9cbc1_row22_col0\" class=\"data row22 col0\" >31,0</td>\n      <td id=\"T_9cbc1_row22_col1\" class=\"data row22 col1\" >33,5</td>\n      <td id=\"T_9cbc1_row22_col2\" class=\"data row22 col2\" >11,5</td>\n      <td id=\"T_9cbc1_row22_col3\" class=\"data row22 col3\" >17,0</td>\n      <td id=\"T_9cbc1_row22_col4\" class=\"data row22 col4\" >35,0</td>\n      <td id=\"T_9cbc1_row22_col5\" class=\"data row22 col5\" >121,0</td>\n      <td id=\"T_9cbc1_row22_col6\" class=\"data row22 col6\" >119,0</td>\n      <td id=\"T_9cbc1_row22_col7\" class=\"data row22 col7\" >76,0</td>\n      <td id=\"T_9cbc1_row22_col8\" class=\"data row22 col8\" >13,0</td>\n      <td id=\"T_9cbc1_row22_col9\" class=\"data row22 col9\" >86,0</td>\n      <td id=\"T_9cbc1_row22_col10\" class=\"data row22 col10\" >107,0</td>\n      <td id=\"T_9cbc1_row22_col11\" class=\"data row22 col11\" >38,0</td>\n      <td id=\"T_9cbc1_row22_col12\" class=\"data row22 col12\" >111,5</td>\n      <td id=\"T_9cbc1_row22_col13\" class=\"data row22 col13\" >47,0</td>\n      <td id=\"T_9cbc1_row22_col14\" class=\"data row22 col14\" >41,5</td>\n      <td id=\"T_9cbc1_row22_col15\" class=\"data row22 col15\" >20,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_9cbc1_level0_row23\" class=\"row_heading level0 row23\" >unidentifizierte Deckel</th>\n      <td id=\"T_9cbc1_row23_col0\" class=\"data row23 col0\" >17,0</td>\n      <td id=\"T_9cbc1_row23_col1\" class=\"data row23 col1\" >12,5</td>\n      <td id=\"T_9cbc1_row23_col2\" class=\"data row23 col2\" >0,0</td>\n      <td id=\"T_9cbc1_row23_col3\" class=\"data row23 col3\" >2,0</td>\n      <td id=\"T_9cbc1_row23_col4\" class=\"data row23 col4\" >2,0</td>\n      <td id=\"T_9cbc1_row23_col5\" class=\"data row23 col5\" >0,0</td>\n      <td id=\"T_9cbc1_row23_col6\" class=\"data row23 col6\" >0,0</td>\n      <td id=\"T_9cbc1_row23_col7\" class=\"data row23 col7\" >2,0</td>\n      <td id=\"T_9cbc1_row23_col8\" class=\"data row23 col8\" >32,0</td>\n      <td id=\"T_9cbc1_row23_col9\" class=\"data row23 col9\" >7,0</td>\n      <td id=\"T_9cbc1_row23_col10\" class=\"data row23 col10\" >3,0</td>\n      <td id=\"T_9cbc1_row23_col11\" class=\"data row23 col11\" >3,0</td>\n      <td id=\"T_9cbc1_row23_col12\" class=\"data row23 col12\" >2,5</td>\n      <td id=\"T_9cbc1_row23_col13\" class=\"data row23 col13\" >2,0</td>\n      <td id=\"T_9cbc1_row23_col14\" class=\"data row23 col14\" >2,0</td>\n      <td id=\"T_9cbc1_row23_col15\" class=\"data row23 col15\" >0,0</td>\n    </tr>\n  </tbody>\n</table>\n",
      "application/papermill.record/text/plain": "<pandas.io.formats.style.Styler at 0x7f1f8ee2b8b0>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_most_common_heat_map"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# add new section to pdf\n",
    "mc_section_title = Paragraph(\"Die am häufigsten gefundenen Objekte\", featuredata.section_title)\n",
    "para_g = \"Die am häufigsten gefundenen Objekte sind die zehn mengenmässig am meisten vorkommenden Objekte und/oder Objekte, die in mindestens 50 % aller Datenerhebungen identifiziert wurden (Häufigkeitsrate)\"\n",
    "mc_section_para = Paragraph(para_g, featuredata.p_style)\n",
    "mc_table_cap = Paragraph(mc_caption_string, featuredata.caption_style)\n",
    "\n",
    "\n",
    "\n",
    "new_components = [\n",
    "    KeepTogether([\n",
    "        mc_section_title,\n",
    "        featuredata.small_space,\n",
    "        mc_section_para,\n",
    "        featuredata.large_space,\n",
    "        mc_table\n",
    "        ])\n",
    "]\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)\n",
    "\n",
    "mc_heat_map_caption = f'Median {unit_label} der häufigsten Objekte am {this_feature[\"name\"]}.'\n",
    "\n",
    "# calling componentsMostCommon gets the results for the most common codes\n",
    "# at the component level\n",
    "components = fdx.componentMostCommonPcsM()\n",
    "\n",
    "# pivot that and quash the hierarchal column index that is created when the table is pivoted\n",
    "mc_comp = components[[\"item\", unit_label, \"city\"]].pivot(columns=\"city\", index=\"item\")\n",
    "mc_comp.columns = mc_comp.columns.get_level_values(1)\n",
    "\n",
    "# the aggregated total of the feature is taken from the most common objects table\n",
    "mc_feature = fdx.most_common[unit_label]\n",
    "mc_feature = featuredata.changeSeriesIndexLabels(mc_feature, {x:fdx.dMap.loc[x] for x in mc_feature.index})\n",
    "\n",
    "# aggregated totals of the parent this is derived from the arguments in kwargs\n",
    "mc_parent = period_data.parentMostCommon(parent=True)\n",
    "mc_parent = featuredata.changeSeriesIndexLabels(mc_parent, {x:fdx.dMap.loc[x] for x in mc_parent.index})\n",
    "\n",
    "# the aggregated totals of all the period data\n",
    "mc_period = period_data.parentMostCommon(parent=False)\n",
    "mc_period = featuredata.changeSeriesIndexLabels(mc_period, {x:fdx.dMap.loc[x] for x in mc_period.index})\n",
    "\n",
    "# add the feature, bassin_label and period results to the components table\n",
    "mc_comp[this_feature[\"name\"]]= mc_feature\n",
    "mc_comp[bassin_label] = mc_parent\n",
    "mc_comp[top] = mc_period\n",
    "\n",
    "caption_prefix =  f'Median {unit_label} der häufigsten Objekte am '\n",
    "col_widths=[4.5*cm, *[1.2*cm]*(len(mc_comp.columns)-1)]\n",
    "mc_heatmap_title = Paragraph(\"Die am häufigsten gefundenen Objekte nach Gemeinden\", featuredata.subsection_title)\n",
    "tables = featuredata.splitTableWidth(mc_comp, gradient=True, caption_prefix=caption_prefix, caption=mc_heat_map_caption,\n",
    "                    this_feature=this_feature[\"name\"], vertical_header=True, colWidths=col_widths)\n",
    "\n",
    "# identify the tables variable as either a list or a Flowable:\n",
    "if isinstance(tables, (list, np.ndarray)):\n",
    "    grouped_pdf_components = [mc_heatmap_title, featuredata.large_space, *tables]\n",
    "else:\n",
    "    grouped_pdf_components = [mc_heatmap_title, featuredata.large_space, tables]\n",
    "    \n",
    "\n",
    "new_components = [\n",
    "    featuredata.small_space,\n",
    "    KeepTogether(grouped_pdf_components)\n",
    "]\n",
    "\n",
    "\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)\n",
    "\n",
    "# notebook display style\n",
    "aformatter = {x: featuredata.replaceDecimal for x in mc_comp.columns}\n",
    "mcd = mc_comp.style.format(aformatter).set_table_styles(heat_map_css_styles)\n",
    "mcd = mcd.background_gradient(axis=None, vmin=mc_comp.min().min(), vmax=mc_comp.max().max(), cmap=\"YlOrBr\")\n",
    "\n",
    "# remove the index name and column name labels\n",
    "mcd.index.name = None\n",
    "mcd.columns.name = None\n",
    "\n",
    "# rotate the text on the header row\n",
    "# the .applymap_index method in the\n",
    "# df.styler module is used for this\n",
    "mcd = mcd.applymap_index(featuredata.rotateText, axis=1)\n",
    "\n",
    "# display markdown html\n",
    "glue(f'{this_feature[\"slug\"]}_mc_heat_map_caption', mc_heat_map_caption, display=False)\n",
    "\n",
    "glue('lac-leman_most_common_heat_map', mcd, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    },
    "tags": [
     "output-scroll"
    ]
   },
   "source": [
    "```{glue:figure} lac-leman_most_common_heat_map\n",
    "---\n",
    "name: 'lac-leman_most_common_heat_map'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "{numref}`Abbildung %s: <lac-leman_most_common_heat_map>` {glue:text}`lac-leman_mc_heat_map_caption`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    },
    "tags": []
   },
   "source": [
    "### Die am häufigsten gefundenen Objekte im monatlichen Durchschnitt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
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color: #000000;\n}\n#T_182df_row20_col1 {\n  background-color: #fedb80;\n  color: #000000;\n}\n#T_182df_row20_col2 {\n  background-color: #742905;\n  color: #f1f1f1;\n}\n#T_182df_row20_col3 {\n  background-color: #be4503;\n  color: #f1f1f1;\n}\n#T_182df_row20_col4 {\n  background-color: #df620d;\n  color: #f1f1f1;\n}\n#T_182df_row20_col6 {\n  background-color: #fee697;\n  color: #000000;\n}\n#T_182df_row20_col7 {\n  background-color: #fff3b4;\n  color: #000000;\n}\n#T_182df_row20_col8 {\n  background-color: #cd4d03;\n  color: #f1f1f1;\n}\n#T_182df_row20_col9 {\n  background-color: #fecc61;\n  color: #000000;\n}\n#T_182df_row20_col11 {\n  background-color: #fecd63;\n  color: #000000;\n}\n#T_182df_row22_col0 {\n  background-color: #9c3604;\n  color: #f1f1f1;\n}\n#T_182df_row22_col1 {\n  background-color: #feeca4;\n  color: #000000;\n}\n#T_182df_row22_col2 {\n  background-color: #febb47;\n  color: #000000;\n}\n#T_182df_row22_col3 {\n  background-color: #e96d13;\n  color: #f1f1f1;\n}\n#T_182df_row22_col4 {\n  background-color: #feb340;\n  color: #000000;\n}\n#T_182df_row22_col5 {\n  background-color: #fee08a;\n  color: #000000;\n}\n#T_182df_row22_col10 {\n  background-color: #fff7bd;\n  color: #000000;\n}\n</style>\n<table id=\"T_182df\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_182df_level0_col0\" class=\"col_heading level0 col0\" >Apr.</th>\n      <th id=\"T_182df_level0_col1\" class=\"col_heading level0 col1\" >Mai</th>\n      <th id=\"T_182df_level0_col2\" class=\"col_heading level0 col2\" >Juni</th>\n      <th id=\"T_182df_level0_col3\" class=\"col_heading level0 col3\" >Juli</th>\n      <th id=\"T_182df_level0_col4\" class=\"col_heading level0 col4\" >Aug.</th>\n      <th id=\"T_182df_level0_col5\" class=\"col_heading level0 col5\" >Sept.</th>\n      <th id=\"T_182df_level0_col6\" class=\"col_heading level0 col6\" >Okt.</th>\n      <th id=\"T_182df_level0_col7\" class=\"col_heading level0 col7\" >Nov.</th>\n      <th id=\"T_182df_level0_col8\" class=\"col_heading level0 col8\" >Dez.</th>\n      <th id=\"T_182df_level0_col9\" class=\"col_heading level0 col9\" >Jan.</th>\n      <th id=\"T_182df_level0_col10\" class=\"col_heading level0 col10\" >Feb.</th>\n      <th id=\"T_182df_level0_col11\" class=\"col_heading level0 col11\" >März</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_182df_level0_row0\" class=\"row_heading level0 row0\" >Medizin; Behälter/Röhrchen/Verpackungen</th>\n      <td id=\"T_182df_row0_col0\" class=\"data row0 col0\" >5,0</td>\n      <td id=\"T_182df_row0_col1\" class=\"data row0 col1\" >4,3</td>\n      <td id=\"T_182df_row0_col2\" class=\"data row0 col2\" >13,8</td>\n      <td id=\"T_182df_row0_col3\" class=\"data row0 col3\" >6,3</td>\n      <td id=\"T_182df_row0_col4\" class=\"data row0 col4\" >6,4</td>\n      <td id=\"T_182df_row0_col5\" class=\"data row0 col5\" >4,2</td>\n      <td id=\"T_182df_row0_col6\" class=\"data row0 col6\" >7,7</td>\n      <td id=\"T_182df_row0_col7\" class=\"data row0 col7\" >5,2</td>\n      <td id=\"T_182df_row0_col8\" class=\"data row0 col8\" >10,4</td>\n      <td id=\"T_182df_row0_col9\" class=\"data row0 col9\" >5,0</td>\n      <td id=\"T_182df_row0_col10\" class=\"data row0 col10\" >2,2</td>\n      <td id=\"T_182df_row0_col11\" class=\"data row0 col11\" >8,6</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row1\" class=\"row_heading level0 row1\" >Wattestäbchen/Tupfer</th>\n      <td id=\"T_182df_row1_col0\" class=\"data row1 col0\" >7,0</td>\n      <td id=\"T_182df_row1_col1\" class=\"data row1 col1\" >31,9</td>\n      <td id=\"T_182df_row1_col2\" class=\"data row1 col2\" >56,8</td>\n      <td id=\"T_182df_row1_col3\" class=\"data row1 col3\" >80,3</td>\n      <td id=\"T_182df_row1_col4\" class=\"data row1 col4\" >38,8</td>\n      <td id=\"T_182df_row1_col5\" class=\"data row1 col5\" >23,0</td>\n      <td id=\"T_182df_row1_col6\" class=\"data row1 col6\" >28,2</td>\n      <td id=\"T_182df_row1_col7\" class=\"data row1 col7\" >12,7</td>\n      <td id=\"T_182df_row1_col8\" class=\"data row1 col8\" >41,1</td>\n      <td id=\"T_182df_row1_col9\" class=\"data row1 col9\" >33,0</td>\n      <td id=\"T_182df_row1_col10\" class=\"data row1 col10\" >21,8</td>\n      <td id=\"T_182df_row1_col11\" class=\"data row1 col11\" >33,6</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row2\" class=\"row_heading level0 row2\" >Lebensmittelbehälter zum einmaligen Gebrauch aus Schaumstoff oder Kunststoff</th>\n      <td id=\"T_182df_row2_col0\" class=\"data row2 col0\" >7,0</td>\n      <td id=\"T_182df_row2_col1\" class=\"data row2 col1\" >11,3</td>\n      <td id=\"T_182df_row2_col2\" class=\"data row2 col2\" >2,4</td>\n      <td id=\"T_182df_row2_col3\" class=\"data row2 col3\" >22,3</td>\n      <td id=\"T_182df_row2_col4\" class=\"data row2 col4\" >14,8</td>\n      <td id=\"T_182df_row2_col5\" class=\"data row2 col5\" >11,8</td>\n      <td id=\"T_182df_row2_col6\" class=\"data row2 col6\" >12,6</td>\n      <td id=\"T_182df_row2_col7\" class=\"data row2 col7\" >1,3</td>\n      <td id=\"T_182df_row2_col8\" class=\"data row2 col8\" >4,4</td>\n      <td id=\"T_182df_row2_col9\" class=\"data row2 col9\" >4,8</td>\n      <td id=\"T_182df_row2_col10\" class=\"data row2 col10\" >4,5</td>\n      <td id=\"T_182df_row2_col11\" class=\"data row2 col11\" >10,8</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row3\" class=\"row_heading level0 row3\" >Strohhalme und Rührstäbchen</th>\n      <td id=\"T_182df_row3_col0\" class=\"data row3 col0\" >16,0</td>\n      <td id=\"T_182df_row3_col1\" class=\"data row3 col1\" >9,7</td>\n      <td id=\"T_182df_row3_col2\" class=\"data row3 col2\" >13,8</td>\n      <td id=\"T_182df_row3_col3\" class=\"data row3 col3\" >16,6</td>\n      <td id=\"T_182df_row3_col4\" class=\"data row3 col4\" >6,0</td>\n      <td id=\"T_182df_row3_col5\" class=\"data row3 col5\" >8,7</td>\n      <td id=\"T_182df_row3_col6\" class=\"data row3 col6\" >5,5</td>\n      <td id=\"T_182df_row3_col7\" class=\"data row3 col7\" >2,6</td>\n      <td id=\"T_182df_row3_col8\" class=\"data row3 col8\" >4,3</td>\n      <td id=\"T_182df_row3_col9\" class=\"data row3 col9\" >10,6</td>\n      <td id=\"T_182df_row3_col10\" class=\"data row3 col10\" >1,2</td>\n      <td id=\"T_182df_row3_col11\" class=\"data row3 col11\" >13,9</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row4\" class=\"row_heading level0 row4\" >Einwegartikel; Tassen/Becher & Deckel</th>\n      <td id=\"T_182df_row4_col0\" class=\"data row4 col0\" >9,0</td>\n      <td id=\"T_182df_row4_col1\" class=\"data row4 col1\" >6,6</td>\n      <td id=\"T_182df_row4_col2\" class=\"data row4 col2\" >3,4</td>\n      <td id=\"T_182df_row4_col3\" class=\"data row4 col3\" >12,7</td>\n      <td id=\"T_182df_row4_col4\" class=\"data row4 col4\" >5,1</td>\n      <td id=\"T_182df_row4_col5\" class=\"data row4 col5\" >3,8</td>\n      <td id=\"T_182df_row4_col6\" class=\"data row4 col6\" >4,5</td>\n      <td id=\"T_182df_row4_col7\" class=\"data row4 col7\" >1,7</td>\n      <td id=\"T_182df_row4_col8\" class=\"data row4 col8\" >4,1</td>\n      <td id=\"T_182df_row4_col9\" class=\"data row4 col9\" >7,8</td>\n      <td id=\"T_182df_row4_col10\" class=\"data row4 col10\" >2,5</td>\n      <td id=\"T_182df_row4_col11\" class=\"data row4 col11\" >11,9</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row5\" class=\"row_heading level0 row5\" >Schleckstengel, Stengel von Lutscher</th>\n      <td id=\"T_182df_row5_col0\" class=\"data row5 col0\" >9,0</td>\n      <td id=\"T_182df_row5_col1\" class=\"data row5 col1\" >8,1</td>\n      <td id=\"T_182df_row5_col2\" class=\"data row5 col2\" >10,6</td>\n      <td id=\"T_182df_row5_col3\" class=\"data row5 col3\" >16,3</td>\n      <td id=\"T_182df_row5_col4\" class=\"data row5 col4\" >9,5</td>\n      <td id=\"T_182df_row5_col5\" class=\"data row5 col5\" >11,2</td>\n      <td id=\"T_182df_row5_col6\" class=\"data row5 col6\" >4,1</td>\n      <td id=\"T_182df_row5_col7\" class=\"data row5 col7\" >1,4</td>\n      <td id=\"T_182df_row5_col8\" class=\"data row5 col8\" >12,4</td>\n      <td id=\"T_182df_row5_col9\" class=\"data row5 col9\" >7,2</td>\n      <td id=\"T_182df_row5_col10\" class=\"data row5 col10\" >3,3</td>\n      <td id=\"T_182df_row5_col11\" class=\"data row5 col11\" >6,6</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row6\" class=\"row_heading level0 row6\" >Snack-Verpackungen</th>\n      <td id=\"T_182df_row6_col0\" class=\"data row6 col0\" >91,0</td>\n      <td id=\"T_182df_row6_col1\" class=\"data row6 col1\" >20,0</td>\n      <td id=\"T_182df_row6_col2\" class=\"data row6 col2\" >75,3</td>\n      <td id=\"T_182df_row6_col3\" class=\"data row6 col3\" >94,3</td>\n      <td id=\"T_182df_row6_col4\" class=\"data row6 col4\" >39,5</td>\n      <td id=\"T_182df_row6_col5\" class=\"data row6 col5\" >45,8</td>\n      <td id=\"T_182df_row6_col6\" class=\"data row6 col6\" >42,8</td>\n      <td id=\"T_182df_row6_col7\" class=\"data row6 col7\" >15,0</td>\n      <td id=\"T_182df_row6_col8\" class=\"data row6 col8\" >20,0</td>\n      <td id=\"T_182df_row6_col9\" class=\"data row6 col9\" >34,1</td>\n      <td id=\"T_182df_row6_col10\" class=\"data row6 col10\" >16,7</td>\n      <td id=\"T_182df_row6_col11\" class=\"data row6 col11\" >138,8</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row7\" class=\"row_heading level0 row7\" >Ringe von Plastikflaschen/Behältern</th>\n      <td id=\"T_182df_row7_col0\" class=\"data row7 col0\" >5,0</td>\n      <td id=\"T_182df_row7_col1\" class=\"data row7 col1\" >5,9</td>\n      <td id=\"T_182df_row7_col2\" class=\"data row7 col2\" >12,8</td>\n      <td id=\"T_182df_row7_col3\" class=\"data row7 col3\" >18,1</td>\n      <td id=\"T_182df_row7_col4\" class=\"data row7 col4\" >10,2</td>\n      <td id=\"T_182df_row7_col5\" class=\"data row7 col5\" >5,5</td>\n      <td id=\"T_182df_row7_col6\" class=\"data row7 col6\" >10,8</td>\n      <td id=\"T_182df_row7_col7\" class=\"data row7 col7\" >5,9</td>\n      <td id=\"T_182df_row7_col8\" class=\"data row7 col8\" >6,6</td>\n      <td id=\"T_182df_row7_col9\" class=\"data row7 col9\" >10,2</td>\n      <td id=\"T_182df_row7_col10\" class=\"data row7 col10\" >5,7</td>\n      <td id=\"T_182df_row7_col11\" class=\"data row7 col11\" >22,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row8\" class=\"row_heading level0 row8\" > Getränkeflaschen aus Glas, Glasfragmente</th>\n      <td id=\"T_182df_row8_col0\" class=\"data row8 col0\" >9,0</td>\n      <td id=\"T_182df_row8_col1\" class=\"data row8 col1\" >6,3</td>\n      <td id=\"T_182df_row8_col2\" class=\"data row8 col2\" >6,2</td>\n      <td id=\"T_182df_row8_col3\" class=\"data row8 col3\" >5,0</td>\n      <td id=\"T_182df_row8_col4\" class=\"data row8 col4\" >11,6</td>\n      <td id=\"T_182df_row8_col5\" class=\"data row8 col5\" >15,5</td>\n      <td id=\"T_182df_row8_col6\" class=\"data row8 col6\" >34,6</td>\n      <td id=\"T_182df_row8_col7\" class=\"data row8 col7\" >8,9</td>\n      <td id=\"T_182df_row8_col8\" class=\"data row8 col8\" >6,9</td>\n      <td id=\"T_182df_row8_col9\" class=\"data row8 col9\" >5,9</td>\n      <td id=\"T_182df_row8_col10\" class=\"data row8 col10\" >18,7</td>\n      <td id=\"T_182df_row8_col11\" class=\"data row8 col11\" >25,8</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row9\" class=\"row_heading level0 row9\" >Kronkorken, Lasche von Dose/Ausfreisslachen</th>\n      <td id=\"T_182df_row9_col0\" class=\"data row9 col0\" >5,0</td>\n      <td id=\"T_182df_row9_col1\" class=\"data row9 col1\" >9,4</td>\n      <td id=\"T_182df_row9_col2\" class=\"data row9 col2\" >11,6</td>\n      <td id=\"T_182df_row9_col3\" class=\"data row9 col3\" >13,6</td>\n      <td id=\"T_182df_row9_col4\" class=\"data row9 col4\" >7,1</td>\n      <td id=\"T_182df_row9_col5\" class=\"data row9 col5\" >2,0</td>\n      <td id=\"T_182df_row9_col6\" class=\"data row9 col6\" >5,0</td>\n      <td id=\"T_182df_row9_col7\" class=\"data row9 col7\" >2,8</td>\n      <td id=\"T_182df_row9_col8\" class=\"data row9 col8\" >5,3</td>\n      <td id=\"T_182df_row9_col9\" class=\"data row9 col9\" >6,2</td>\n      <td id=\"T_182df_row9_col10\" class=\"data row9 col10\" >1,3</td>\n      <td id=\"T_182df_row9_col11\" class=\"data row9 col11\" >3,6</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row10\" class=\"row_heading level0 row10\" >Verpackungen aus Aluminiumfolie</th>\n      <td id=\"T_182df_row10_col0\" class=\"data row10 col0\" >16,0</td>\n      <td id=\"T_182df_row10_col1\" class=\"data row10 col1\" >2,9</td>\n      <td id=\"T_182df_row10_col2\" class=\"data row10 col2\" >7,0</td>\n      <td id=\"T_182df_row10_col3\" class=\"data row10 col3\" >13,0</td>\n      <td id=\"T_182df_row10_col4\" class=\"data row10 col4\" >3,1</td>\n      <td id=\"T_182df_row10_col5\" class=\"data row10 col5\" >0,8</td>\n      <td id=\"T_182df_row10_col6\" class=\"data row10 col6\" >3,9</td>\n      <td id=\"T_182df_row10_col7\" class=\"data row10 col7\" >3,2</td>\n      <td id=\"T_182df_row10_col8\" class=\"data row10 col8\" >1,1</td>\n      <td id=\"T_182df_row10_col9\" class=\"data row10 col9\" >2,5</td>\n      <td id=\"T_182df_row10_col10\" class=\"data row10 col10\" >3,2</td>\n      <td id=\"T_182df_row10_col11\" class=\"data row10 col11\" >6,4</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row11\" class=\"row_heading level0 row11\" >Getränke-Deckel, Getränkeverschluss</th>\n      <td id=\"T_182df_row11_col0\" class=\"data row11 col0\" >7,0</td>\n      <td id=\"T_182df_row11_col1\" class=\"data row11 col1\" >13,0</td>\n      <td id=\"T_182df_row11_col2\" class=\"data row11 col2\" >14,4</td>\n      <td id=\"T_182df_row11_col3\" class=\"data row11 col3\" >34,6</td>\n      <td id=\"T_182df_row11_col4\" class=\"data row11 col4\" >8,5</td>\n      <td id=\"T_182df_row11_col5\" class=\"data row11 col5\" >12,3</td>\n      <td id=\"T_182df_row11_col6\" class=\"data row11 col6\" >8,9</td>\n      <td id=\"T_182df_row11_col7\" class=\"data row11 col7\" >1,4</td>\n      <td id=\"T_182df_row11_col8\" class=\"data row11 col8\" >10,3</td>\n      <td id=\"T_182df_row11_col9\" class=\"data row11 col9\" >19,6</td>\n      <td id=\"T_182df_row11_col10\" class=\"data row11 col10\" >4,8</td>\n      <td id=\"T_182df_row11_col11\" class=\"data row11 col11\" >25,1</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row12\" class=\"row_heading level0 row12\" >Schrotflintenpatronen</th>\n      <td id=\"T_182df_row12_col0\" class=\"data row12 col0\" >5,0</td>\n      <td id=\"T_182df_row12_col1\" class=\"data row12 col1\" >13,6</td>\n      <td id=\"T_182df_row12_col2\" class=\"data row12 col2\" >9,0</td>\n      <td id=\"T_182df_row12_col3\" class=\"data row12 col3\" >24,0</td>\n      <td id=\"T_182df_row12_col4\" class=\"data row12 col4\" >12,9</td>\n      <td id=\"T_182df_row12_col5\" class=\"data row12 col5\" >9,7</td>\n      <td id=\"T_182df_row12_col6\" class=\"data row12 col6\" >10,7</td>\n      <td id=\"T_182df_row12_col7\" class=\"data row12 col7\" >1,4</td>\n      <td id=\"T_182df_row12_col8\" class=\"data row12 col8\" >8,7</td>\n      <td id=\"T_182df_row12_col9\" class=\"data row12 col9\" >11,5</td>\n      <td id=\"T_182df_row12_col10\" class=\"data row12 col10\" >6,2</td>\n      <td id=\"T_182df_row12_col11\" class=\"data row12 col11\" >12,8</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row13\" class=\"row_heading level0 row13\" >Spielzeug und Partyartikel</th>\n      <td id=\"T_182df_row13_col0\" class=\"data row13 col0\" >0,0</td>\n      <td id=\"T_182df_row13_col1\" class=\"data row13 col1\" >1,4</td>\n      <td id=\"T_182df_row13_col2\" class=\"data row13 col2\" >10,9</td>\n      <td id=\"T_182df_row13_col3\" class=\"data row13 col3\" >12,0</td>\n      <td id=\"T_182df_row13_col4\" class=\"data row13 col4\" >8,2</td>\n      <td id=\"T_182df_row13_col5\" class=\"data row13 col5\" >4,8</td>\n      <td id=\"T_182df_row13_col6\" class=\"data row13 col6\" >4,5</td>\n      <td id=\"T_182df_row13_col7\" class=\"data row13 col7\" >2,2</td>\n      <td id=\"T_182df_row13_col8\" class=\"data row13 col8\" >3,6</td>\n      <td id=\"T_182df_row13_col9\" class=\"data row13 col9\" >10,0</td>\n      <td id=\"T_182df_row13_col10\" class=\"data row13 col10\" >4,2</td>\n      <td id=\"T_182df_row13_col11\" class=\"data row13 col11\" >7,1</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row14\" class=\"row_heading level0 row14\" >Kunststoff-Bauabfälle</th>\n      <td id=\"T_182df_row14_col0\" class=\"data row14 col0\" >25,0</td>\n      <td id=\"T_182df_row14_col1\" class=\"data row14 col1\" >21,0</td>\n      <td id=\"T_182df_row14_col2\" class=\"data row14 col2\" >13,7</td>\n      <td id=\"T_182df_row14_col3\" class=\"data row14 col3\" >36,7</td>\n      <td id=\"T_182df_row14_col4\" class=\"data row14 col4\" >22,4</td>\n      <td id=\"T_182df_row14_col5\" class=\"data row14 col5\" >13,8</td>\n      <td id=\"T_182df_row14_col6\" class=\"data row14 col6\" >13,0</td>\n      <td id=\"T_182df_row14_col7\" class=\"data row14 col7\" >4,7</td>\n      <td id=\"T_182df_row14_col8\" class=\"data row14 col8\" >17,6</td>\n      <td id=\"T_182df_row14_col9\" class=\"data row14 col9\" >18,5</td>\n      <td id=\"T_182df_row14_col10\" class=\"data row14 col10\" >14,2</td>\n      <td id=\"T_182df_row14_col11\" class=\"data row14 col11\" >22,8</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row15\" class=\"row_heading level0 row15\" >Expandiertes Polystyrol</th>\n      <td id=\"T_182df_row15_col0\" class=\"data row15 col0\" >52,0</td>\n      <td id=\"T_182df_row15_col1\" class=\"data row15 col1\" >62,9</td>\n      <td id=\"T_182df_row15_col2\" class=\"data row15 col2\" >143,4</td>\n      <td id=\"T_182df_row15_col3\" class=\"data row15 col3\" >186,6</td>\n      <td id=\"T_182df_row15_col4\" class=\"data row15 col4\" >225,4</td>\n      <td id=\"T_182df_row15_col5\" class=\"data row15 col5\" >140,5</td>\n      <td id=\"T_182df_row15_col6\" class=\"data row15 col6\" >132,6</td>\n      <td id=\"T_182df_row15_col7\" class=\"data row15 col7\" >340,6</td>\n      <td id=\"T_182df_row15_col8\" class=\"data row15 col8\" >82,4</td>\n      <td id=\"T_182df_row15_col9\" class=\"data row15 col9\" >39,1</td>\n      <td id=\"T_182df_row15_col10\" class=\"data row15 col10\" >32,2</td>\n      <td id=\"T_182df_row15_col11\" class=\"data row15 col11\" >56,6</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row16\" class=\"row_heading level0 row16\" >Schaumstoffverpackungen/Isolierung</th>\n      <td id=\"T_182df_row16_col0\" class=\"data row16 col0\" >0,0</td>\n      <td id=\"T_182df_row16_col1\" class=\"data row16 col1\" >3,7</td>\n      <td id=\"T_182df_row16_col2\" class=\"data row16 col2\" >37,5</td>\n      <td id=\"T_182df_row16_col3\" class=\"data row16 col3\" >98,6</td>\n      <td id=\"T_182df_row16_col4\" class=\"data row16 col4\" >105,6</td>\n      <td id=\"T_182df_row16_col5\" class=\"data row16 col5\" >44,5</td>\n      <td id=\"T_182df_row16_col6\" class=\"data row16 col6\" >26,2</td>\n      <td id=\"T_182df_row16_col7\" class=\"data row16 col7\" >55,0</td>\n      <td id=\"T_182df_row16_col8\" class=\"data row16 col8\" >25,4</td>\n      <td id=\"T_182df_row16_col9\" class=\"data row16 col9\" >17,6</td>\n      <td id=\"T_182df_row16_col10\" class=\"data row16 col10\" >4,2</td>\n      <td id=\"T_182df_row16_col11\" class=\"data row16 col11\" >22,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row17\" class=\"row_heading level0 row17\" >Industriefolie (Kunststoff)</th>\n      <td id=\"T_182df_row17_col0\" class=\"data row17 col0\" >9,0</td>\n      <td id=\"T_182df_row17_col1\" class=\"data row17 col1\" >24,7</td>\n      <td id=\"T_182df_row17_col2\" class=\"data row17 col2\" >31,1</td>\n      <td id=\"T_182df_row17_col3\" class=\"data row17 col3\" >92,1</td>\n      <td id=\"T_182df_row17_col4\" class=\"data row17 col4\" >22,4</td>\n      <td id=\"T_182df_row17_col5\" class=\"data row17 col5\" >27,7</td>\n      <td id=\"T_182df_row17_col6\" class=\"data row17 col6\" >30,3</td>\n      <td id=\"T_182df_row17_col7\" class=\"data row17 col7\" >10,8</td>\n      <td id=\"T_182df_row17_col8\" class=\"data row17 col8\" >19,9</td>\n      <td id=\"T_182df_row17_col9\" class=\"data row17 col9\" >19,5</td>\n      <td id=\"T_182df_row17_col10\" class=\"data row17 col10\" >8,2</td>\n      <td id=\"T_182df_row17_col11\" class=\"data row17 col11\" >128,1</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row18\" class=\"row_heading level0 row18\" >Styropor < 5mm</th>\n      <td id=\"T_182df_row18_col0\" class=\"data row18 col0\" >0,0</td>\n      <td id=\"T_182df_row18_col1\" class=\"data row18 col1\" >4,0</td>\n      <td id=\"T_182df_row18_col2\" class=\"data row18 col2\" >16,1</td>\n      <td id=\"T_182df_row18_col3\" class=\"data row18 col3\" >78,0</td>\n      <td id=\"T_182df_row18_col4\" class=\"data row18 col4\" >9,0</td>\n      <td id=\"T_182df_row18_col5\" class=\"data row18 col5\" >12,8</td>\n      <td id=\"T_182df_row18_col6\" class=\"data row18 col6\" >8,2</td>\n      <td id=\"T_182df_row18_col7\" class=\"data row18 col7\" >87,2</td>\n      <td id=\"T_182df_row18_col8\" class=\"data row18 col8\" >40,4</td>\n      <td id=\"T_182df_row18_col9\" class=\"data row18 col9\" >13,2</td>\n      <td id=\"T_182df_row18_col10\" class=\"data row18 col10\" >0,0</td>\n      <td id=\"T_182df_row18_col11\" class=\"data row18 col11\" >3,9</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row19\" class=\"row_heading level0 row19\" >Industriepellets (Nurdles)</th>\n      <td id=\"T_182df_row19_col0\" class=\"data row19 col0\" >0,0</td>\n      <td id=\"T_182df_row19_col1\" class=\"data row19 col1\" >0,9</td>\n      <td id=\"T_182df_row19_col2\" class=\"data row19 col2\" >126,2</td>\n      <td id=\"T_182df_row19_col3\" class=\"data row19 col3\" >140,6</td>\n      <td id=\"T_182df_row19_col4\" class=\"data row19 col4\" >12,0</td>\n      <td id=\"T_182df_row19_col5\" class=\"data row19 col5\" >18,5</td>\n      <td id=\"T_182df_row19_col6\" class=\"data row19 col6\" >33,5</td>\n      <td id=\"T_182df_row19_col7\" class=\"data row19 col7\" >14,6</td>\n      <td id=\"T_182df_row19_col8\" class=\"data row19 col8\" >40,3</td>\n      <td id=\"T_182df_row19_col9\" class=\"data row19 col9\" >10,1</td>\n      <td id=\"T_182df_row19_col10\" class=\"data row19 col10\" >23,2</td>\n      <td id=\"T_182df_row19_col11\" class=\"data row19 col11\" >9,4</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row20\" class=\"row_heading level0 row20\" >Fragmentierte Kunststoffe</th>\n      <td id=\"T_182df_row20_col0\" class=\"data row20 col0\" >30,0</td>\n      <td id=\"T_182df_row20_col1\" class=\"data row20 col1\" >96,0</td>\n      <td id=\"T_182df_row20_col2\" class=\"data row20 col2\" >328,0</td>\n      <td id=\"T_182df_row20_col3\" class=\"data row20 col3\" >267,4</td>\n      <td id=\"T_182df_row20_col4\" class=\"data row20 col4\" >229,2</td>\n      <td id=\"T_182df_row20_col5\" class=\"data row20 col5\" >91,7</td>\n      <td id=\"T_182df_row20_col6\" class=\"data row20 col6\" >79,2</td>\n      <td id=\"T_182df_row20_col7\" class=\"data row20 col7\" >51,2</td>\n      <td id=\"T_182df_row20_col8\" class=\"data row20 col8\" >254,1</td>\n      <td id=\"T_182df_row20_col9\" class=\"data row20 col9\" >115,9</td>\n      <td id=\"T_182df_row20_col10\" class=\"data row20 col10\" >39,3</td>\n      <td id=\"T_182df_row20_col11\" class=\"data row20 col11\" >115,4</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row21\" class=\"row_heading level0 row21\" >Tabak; Kunststoffverpackungen, Behälter</th>\n      <td id=\"T_182df_row21_col0\" class=\"data row21 col0\" >11,0</td>\n      <td id=\"T_182df_row21_col1\" class=\"data row21 col1\" >3,4</td>\n      <td id=\"T_182df_row21_col2\" class=\"data row21 col2\" >8,7</td>\n      <td id=\"T_182df_row21_col3\" class=\"data row21 col3\" >27,1</td>\n      <td id=\"T_182df_row21_col4\" class=\"data row21 col4\" >10,0</td>\n      <td id=\"T_182df_row21_col5\" class=\"data row21 col5\" >2,7</td>\n      <td id=\"T_182df_row21_col6\" class=\"data row21 col6\" >9,1</td>\n      <td id=\"T_182df_row21_col7\" class=\"data row21 col7\" >1,2</td>\n      <td id=\"T_182df_row21_col8\" class=\"data row21 col8\" >2,1</td>\n      <td id=\"T_182df_row21_col9\" class=\"data row21 col9\" >6,0</td>\n      <td id=\"T_182df_row21_col10\" class=\"data row21 col10\" >2,8</td>\n      <td id=\"T_182df_row21_col11\" class=\"data row21 col11\" >33,1</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row22\" class=\"row_heading level0 row22\" >Zigarettenfilter</th>\n      <td id=\"T_182df_row22_col0\" class=\"data row22 col0\" >295,0</td>\n      <td id=\"T_182df_row22_col1\" class=\"data row22 col1\" >66,7</td>\n      <td id=\"T_182df_row22_col2\" class=\"data row22 col2\" >136,8</td>\n      <td id=\"T_182df_row22_col3\" class=\"data row22 col3\" >216,3</td>\n      <td id=\"T_182df_row22_col4\" class=\"data row22 col4\" >144,6</td>\n      <td id=\"T_182df_row22_col5\" class=\"data row22 col5\" >89,3</td>\n      <td id=\"T_182df_row22_col6\" class=\"data row22 col6\" >38,2</td>\n      <td id=\"T_182df_row22_col7\" class=\"data row22 col7\" >30,3</td>\n      <td id=\"T_182df_row22_col8\" class=\"data row22 col8\" >22,4</td>\n      <td id=\"T_182df_row22_col9\" class=\"data row22 col9\" >24,5</td>\n      <td id=\"T_182df_row22_col10\" class=\"data row22 col10\" >42,0</td>\n      <td id=\"T_182df_row22_col11\" class=\"data row22 col11\" >78,2</td>\n    </tr>\n    <tr>\n      <th id=\"T_182df_level0_row23\" class=\"row_heading level0 row23\" >unidentifizierte Deckel</th>\n      <td id=\"T_182df_row23_col0\" class=\"data row23 col0\" >0,0</td>\n      <td id=\"T_182df_row23_col1\" class=\"data row23 col1\" >14,1</td>\n      <td id=\"T_182df_row23_col2\" class=\"data row23 col2\" >13,3</td>\n      <td id=\"T_182df_row23_col3\" class=\"data row23 col3\" >4,7</td>\n      <td id=\"T_182df_row23_col4\" class=\"data row23 col4\" >9,2</td>\n      <td id=\"T_182df_row23_col5\" class=\"data row23 col5\" >8,7</td>\n      <td id=\"T_182df_row23_col6\" class=\"data row23 col6\" >8,2</td>\n      <td id=\"T_182df_row23_col7\" class=\"data row23 col7\" >1,0</td>\n      <td id=\"T_182df_row23_col8\" class=\"data row23 col8\" >7,1</td>\n      <td id=\"T_182df_row23_col9\" class=\"data row23 col9\" >9,2</td>\n      <td id=\"T_182df_row23_col10\" class=\"data row23 col10\" >4,3</td>\n      <td id=\"T_182df_row23_col11\" class=\"data row23 col11\" >9,0</td>\n    </tr>\n  </tbody>\n</table>\n",
      "application/papermill.record/text/plain": "<pandas.io.formats.style.Styler at 0x7f1f8d46c5e0>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_monthly_results"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# collect the survey results of the most common objects\n",
    "# and aggregate code with groupname for each sample\n",
    "agg_pcs_quantity = {unit_label:\"sum\", \"quantity\":\"sum\"}\n",
    "groups = [\"loc_date\",\"date\",\"code\", \"groupname\"]\n",
    "\n",
    "# use the index from the most common codes to select from the feature data\n",
    "m_common_m = fd[(fd.code.isin(fdx.most_common.index))].groupby(groups, as_index=False).agg(agg_pcs_quantity)\n",
    "start_date = \"2020-04-01\"\n",
    "end_date = \"2021-03-31\"\n",
    "\n",
    "# set the index to the date column\n",
    "m_common_m.set_index(\"date\", inplace=True)\n",
    "\n",
    "m_common_m = m_common_m.sort_index().loc[start_date:end_date]\n",
    "\n",
    "# set the order of the chart, group the codes by groupname columns and collect the respective object codes\n",
    "an_order = m_common_m.groupby([\"code\",\"groupname\"], as_index=False).quantity.sum().sort_values(by=\"groupname\")[\"code\"].values\n",
    "\n",
    "# use the order array and resample each code for the monthly value\n",
    "# store in a dict\n",
    "mgr = {}\n",
    "for a_code in an_order:\n",
    "    # resample by month\n",
    "    a_cell = m_common_m[(m_common_m.code==a_code)][unit_label].resample(\"M\").mean().fillna(0)\n",
    "    a_cell = round(a_cell, 1)\n",
    "    this_group = {a_code:a_cell}\n",
    "    mgr.update(this_group)\n",
    "\n",
    "# make df form dict and collect the abbreviated month name set that to index\n",
    "by_month = pd.DataFrame.from_dict(mgr)\n",
    "by_month[\"month\"] = by_month.index.map(lambda x: get_month_names('abbreviated', locale=date_lang)[x.month])\n",
    "by_month.set_index('month', drop=True, inplace=True)\n",
    "\n",
    "# transpose to get months on the columns and set index to the object description\n",
    "by_month = by_month.T\n",
    "by_month[\"Objekt\"] = by_month.index.map(lambda x: fdx.dMap.loc[x])\n",
    "by_month.set_index(\"Objekt\", drop=True, inplace=True)\n",
    "\n",
    "# pdf components\n",
    "# gradient background for .pdf table\n",
    "monthly_heat_map_gradient = featuredata.colorGradientTable(by_month)\n",
    "\n",
    "# subsection title and figure caption\n",
    "mc_monthly_title = Paragraph(\"Die am häufigsten gefundenen Objekte im monatlichen Durchschnitt\", featuredata.subsection_title)\n",
    "monthly_data_caption = f'{this_feature[\"name\"]}, monatliche Durchschnittsergebnisse p/100 m'\n",
    "\n",
    "\n",
    "col_widths = [4*cm, *[1.15*cm]*(len(mc_comp.columns))]\n",
    "\n",
    "d_chart = featuredata.aSingleStyledTable(by_month, vertical_header=True, gradient=True, colWidths=col_widths)\n",
    "d_capt = featuredata.makeAParagraph(monthly_data_caption, style=featuredata.caption_style)\n",
    "mc_table = featuredata.tableAndCaption(d_chart, d_capt, colwidths)\n",
    "new_components = [\n",
    "    KeepTogether([\n",
    "        mc_monthly_title,\n",
    "        featuredata.large_space,\n",
    "        mc_table,\n",
    "        PageBreak()\n",
    "    ])\n",
    "]\n",
    "\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)\n",
    "\n",
    "# remove the index names for .html display\n",
    "by_month.index.name = None\n",
    "by_month.columns.name = None\n",
    "\n",
    "aformatter = {x: featuredata.replaceDecimal for x in by_month.columns}\n",
    "\n",
    "mcdm = by_month.style.format(aformatter).set_table_styles(heat_map_css_styles).background_gradient(axis=None, cmap=\"YlOrBr\", vmin=by_month.min().min(), vmax=by_month.max().max())\n",
    "\n",
    "glue(\"lac-leman_monthly_results\", mcdm, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} lac-leman_monthly_results\n",
    "---\n",
    "name: 'lac-leman_monthly_results'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <lac-leman_monthly_results>` Lac Léman, monatliche Durchschnittsergebnisse p/100 m."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    },
    "tags": []
   },
   "source": [
    "## Verwendungszweck der gefundenen Objekte\n",
    "\n",
    "Der Verwendungszweck basiert auf der Verwendung des Objekts, bevor es weggeworfen wurde, oder auf der Artikelbeschreibung, wenn die ursprüngliche Verwendung unbestimmt ist. Identifizierte Objekte werden einer der 260 vordefinierten Kategorien zugeordnet. Die Kategorien werden je nach Verwendung oder Artikelbeschreibung gruppiert.\n",
    "\n",
    "* Abwasser: Objekte, die aus Kläranlagen freigesetzt werden, sprich Objekte, die wahrscheinlich über die Toilette entsorgt werden\n",
    "* Mikroplastik (< 5 mm): fragmentierte Kunststoffe und Kunststoffharze aus der Vorproduktion\n",
    "* Infrastruktur: Artikel im Zusammenhang mit dem Bau und der Instandhaltung von Gebäuden, Strassen und der Wasser-/Stromversorgung\n",
    "* Essen und Trinken: alle Materialien, die mit dem Konsum von Essen und Trinken in Zusammenhang stehen\n",
    "* Landwirtschaft: Materialien z. B. für Mulch und Reihenabdeckungen, Gewächshäuser, Bodenbegasung, Ballenverpackungen. Einschliesslich Hartkunststoffe für landwirtschaftliche Zäune, Blumentöpfe usw.\n",
    "* Tabakwaren: hauptsächlich Zigarettenfilter, einschliesslich aller mit dem Rauchen verbundenen Materialien\n",
    "* Freizeit und Erholung: Objekte, die mit Sport und Freizeit zu tun haben, z. B. Angeln, Jagen, Wandern usw.\n",
    "* Verpackungen ausser Lebensmittel und Tabak: Verpackungsmaterial, das nicht lebensmittel- oder tabakbezogen ist\n",
    "* Plastikfragmente: Plastikteile unbestimmter Herkunft oder Verwendung\n",
    "* Persönliche Gegenstände: Accessoires, Hygieneartikel und Kleidung\n",
    "\n",
    "Im Anhang (Kapitel 3.6.3) befindet sich die vollständige Liste der identifizierten Objekte, einschliesslich Beschreibungen und Gruppenklassifizierung. Das Kapitel [16 Codegruppen](codegroups) beschreibt jede Codegruppe im Detail und bietet eine umfassende Liste aller Objekte in einer Gruppe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [],
   "source": [
    "# make pdf out put\n",
    "cone_group_subtitle = Paragraph(\"Verwendungszweck der gefundenen Objekte\", featuredata.section_title)\n",
    "\n",
    "paragraph_one = [\n",
    "    \"Der Verwendungszweck basiert auf der Verwendung des Objekts, bevor es weggeworfen wurde, \",\n",
    "    \"oder auf der Artikelbeschreibung, wenn die ursprüngliche Verwendung unbestimmt ist. \",\n",
    "    \"Identifizierte Objekte werden einer der 260 vordefinierten Kategorien zugeordnet. \",\n",
    "    \"Die Kategorien werden je nach Verwendung oder Artikelbeschreibung gruppiert.\"\n",
    "]\n",
    "\n",
    "group_names_list = [\n",
    "    \"Abwasser: Objekte, die aus Kläranlagen freigesetzt werden, sprich Objekte, die wahrscheinlich über die Toilette entsorgt werden\",\n",
    "    \"Mikroplastik (< 5 mm): fragmentierte Kunststoffe und Kunststoffharze aus der Vorproduktion\",\n",
    "    \"Infrastruktur: Artikel im Zusammenhang mit dem Bau und der Instandhaltung von Gebäuden, Strassen und der Wasser-/Stromversorgung\",\n",
    "    \"Essen und Trinken: alle Materialien, die mit dem Konsum von Essen und Trinken in Zusammenhang stehen\",\n",
    "    \"Landwirtschaft: Materialien z. B. für Mulch und Reihenabdeckungen, Gewächshäuser, Bodenbegasung, Ballenverpackungen. Einschliesslich Hartkunststoffe für landwirtschaftliche Zäune, Blumentöpfe usw.\",\n",
    "    \"Tabakwaren: hauptsächlich Zigarettenfilter, einschliesslich aller mit dem Rauchen verbundenen Materialien\",\n",
    "    \"Freizeit und Erholung: Objekte, die mit Sport und Freizeit zu tun haben, z. B. Angeln, Jagen, Wandern usw.\",\n",
    "    \"Verpackungen ausser Lebensmittel und Tabak: Verpackungsmaterial, das nicht lebensmittel- oder tabakbezogen ist\",\n",
    "    \"Plastikfragmente: Plastikteile unbestimmter Herkunft oder Verwendung\",\n",
    "    \"Persönliche Gegenstände: Accessoires, Hygieneartikel und Kleidung\"\n",
    "]\n",
    "\n",
    "paragraph_three = [\n",
    "    \"Im Anhang (Kapitel 3.6.3) befindet sich die vollständige Liste der identifizierten Objekte, \",\n",
    "    \"einschliesslich Beschreibungen und Gruppenklassifizierung. \",\n",
    "    \"Das Kapitel [16 Codegruppen](codegroups) beschreibt jede Codegruppe im Detail und bietet eine \",\n",
    "    \"umfassende Liste aller Objekte in einer Gruppe.\"\n",
    "]\n",
    "\n",
    "\n",
    "# make paragraphs\n",
    "code_group_para_one = ' '.join(paragraph_one)\n",
    "code_group_para_three = ''.join(paragraph_three)\n",
    "\n",
    "cgroup_pone = Paragraph(code_group_para_one, featuredata.p_style)\n",
    "\n",
    "cgroup_pthree = Paragraph(code_group_para_three, featuredata.p_style)\n",
    "a_list_groups = makeAList(group_names_list)\n",
    "\n",
    "new_components = [\n",
    "    KeepTogether([        \n",
    "        cone_group_subtitle,\n",
    "        featuredata.small_space,\n",
    "        cgroup_pone,\n",
    "        featuredata.small_space,\n",
    "        a_list_groups,\n",
    "        featuredata.small_space,\n",
    "        cgroup_pthree\n",
    "    ])\n",
    "]\n",
    "\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Verwendungszweck oder Beschreibung der identifizierten Objekte in % der Gesamtzahl nach Gemeinden im Erhebungsgebiet Lac Léman. Fragmentierte Objekte, die nicht eindeutig identifiziert werden können, werden weiterhin nach ihrer Grösse klassifiziert.'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_codegroup_percent_caption"
      }
     },
     "output_type": "display_data"
    },
    {
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background-color: #fffddd;\n  color: #000000;\n}\n#T_fdd8f_row5_col5, #T_fdd8f_row7_col13, #T_fdd8f_row7_col14 {\n  background-color: #fec859;\n  color: #000000;\n}\n#T_fdd8f_row5_col7 {\n  background-color: #e76b11;\n  color: #f1f1f1;\n}\n#T_fdd8f_row7_col1 {\n  background-color: #f07919;\n  color: #f1f1f1;\n}\n#T_fdd8f_row7_col2, #T_fdd8f_row7_col4, #T_fdd8f_row7_col8, #T_fdd8f_row8_col7 {\n  background-color: #fec24d;\n  color: #000000;\n}\n#T_fdd8f_row7_col11 {\n  background-color: #c64902;\n  color: #f1f1f1;\n}\n#T_fdd8f_row8_col12 {\n  background-color: #ed7215;\n  color: #f1f1f1;\n}\n#T_fdd8f_level0_col0, #T_fdd8f_level0_col1, #T_fdd8f_level0_col2, #T_fdd8f_level0_col3, #T_fdd8f_level0_col4, #T_fdd8f_level0_col5, #T_fdd8f_level0_col6, #T_fdd8f_level0_col7, #T_fdd8f_level0_col8, #T_fdd8f_level0_col9, #T_fdd8f_level0_col10, #T_fdd8f_level0_col11, #T_fdd8f_level0_col12, #T_fdd8f_level0_col13, #T_fdd8f_level0_col14, #T_fdd8f_level0_col15 {\n  writing-mode: vertical-lr;\n  transform: rotate(-180deg);\n  padding: 10px;\n  margins: 0;\n  vertical-align: baseline;\n}\n</style>\n<table id=\"T_fdd8f\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_fdd8f_level0_col0\" class=\"col_heading level0 col0\" >Allaman</th>\n      <th id=\"T_fdd8f_level0_col1\" class=\"col_heading level0 col1\" >Bourg-en-Lavaux</th>\n      <th id=\"T_fdd8f_level0_col2\" class=\"col_heading level0 col2\" >Genève</th>\n      <th id=\"T_fdd8f_level0_col3\" class=\"col_heading level0 col3\" >Gland</th>\n      <th id=\"T_fdd8f_level0_col4\" class=\"col_heading level0 col4\" >La Tour-de-Peilz</th>\n      <th id=\"T_fdd8f_level0_col5\" class=\"col_heading level0 col5\" >Lausanne</th>\n      <th id=\"T_fdd8f_level0_col6\" class=\"col_heading level0 col6\" >Montreux</th>\n      <th id=\"T_fdd8f_level0_col7\" class=\"col_heading level0 col7\" >Préverenges</th>\n      <th id=\"T_fdd8f_level0_col8\" class=\"col_heading level0 col8\" >Saint-Gingolph</th>\n      <th id=\"T_fdd8f_level0_col9\" class=\"col_heading level0 col9\" >Saint-Sulpice (VD)</th>\n      <th id=\"T_fdd8f_level0_col10\" class=\"col_heading level0 col10\" >Tolochenaz</th>\n      <th id=\"T_fdd8f_level0_col11\" class=\"col_heading level0 col11\" >Versoix</th>\n      <th id=\"T_fdd8f_level0_col12\" class=\"col_heading level0 col12\" >Vevey</th>\n      <th id=\"T_fdd8f_level0_col13\" class=\"col_heading level0 col13\" >Lac Léman</th>\n      <th id=\"T_fdd8f_level0_col14\" class=\"col_heading level0 col14\" >Erhebungsgebiet Rhône</th>\n      <th id=\"T_fdd8f_level0_col15\" class=\"col_heading level0 col15\" >Alle Erhebungsgebiete</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_fdd8f_level0_row0\" class=\"row_heading level0 row0\" >Abwasser</th>\n      <td id=\"T_fdd8f_row0_col0\" class=\"data row0 col0\" >14%</td>\n      <td id=\"T_fdd8f_row0_col1\" class=\"data row0 col1\" >11%</td>\n      <td id=\"T_fdd8f_row0_col2\" class=\"data row0 col2\" >3%</td>\n      <td id=\"T_fdd8f_row0_col3\" class=\"data row0 col3\" >7%</td>\n      <td id=\"T_fdd8f_row0_col4\" class=\"data row0 col4\" >7%</td>\n      <td id=\"T_fdd8f_row0_col5\" class=\"data row0 col5\" >5%</td>\n      <td id=\"T_fdd8f_row0_col6\" class=\"data row0 col6\" >4%</td>\n      <td id=\"T_fdd8f_row0_col7\" class=\"data row0 col7\" >6%</td>\n      <td id=\"T_fdd8f_row0_col8\" class=\"data row0 col8\" >8%</td>\n      <td id=\"T_fdd8f_row0_col9\" class=\"data row0 col9\" >6%</td>\n      <td id=\"T_fdd8f_row0_col10\" class=\"data row0 col10\" >4%</td>\n      <td id=\"T_fdd8f_row0_col11\" class=\"data row0 col11\" >6%</td>\n      <td id=\"T_fdd8f_row0_col12\" class=\"data row0 col12\" >3%</td>\n      <td id=\"T_fdd8f_row0_col13\" class=\"data row0 col13\" >6%</td>\n      <td id=\"T_fdd8f_row0_col14\" class=\"data row0 col14\" >6%</td>\n      <td id=\"T_fdd8f_row0_col15\" class=\"data row0 col15\" >5%</td>\n    </tr>\n    <tr>\n      <th id=\"T_fdd8f_level0_row1\" class=\"row_heading level0 row1\" >Essen und Trinken</th>\n      <td id=\"T_fdd8f_row1_col0\" class=\"data row1 col0\" >21%</td>\n      <td id=\"T_fdd8f_row1_col1\" class=\"data row1 col1\" >14%</td>\n      <td id=\"T_fdd8f_row1_col2\" class=\"data row1 col2\" >21%</td>\n      <td id=\"T_fdd8f_row1_col3\" class=\"data row1 col3\" >24%</td>\n      <td id=\"T_fdd8f_row1_col4\" class=\"data row1 col4\" >19%</td>\n      <td id=\"T_fdd8f_row1_col5\" class=\"data row1 col5\" >14%</td>\n      <td id=\"T_fdd8f_row1_col6\" class=\"data row1 col6\" >21%</td>\n      <td id=\"T_fdd8f_row1_col7\" class=\"data row1 col7\" >12%</td>\n      <td id=\"T_fdd8f_row1_col8\" class=\"data row1 col8\" >19%</td>\n      <td id=\"T_fdd8f_row1_col9\" class=\"data row1 col9\" >14%</td>\n      <td id=\"T_fdd8f_row1_col10\" class=\"data row1 col10\" >10%</td>\n      <td id=\"T_fdd8f_row1_col11\" class=\"data row1 col11\" >17%</td>\n      <td id=\"T_fdd8f_row1_col12\" class=\"data row1 col12\" >20%</td>\n      <td id=\"T_fdd8f_row1_col13\" class=\"data row1 col13\" >18%</td>\n      <td id=\"T_fdd8f_row1_col14\" class=\"data row1 col14\" >18%</td>\n      <td id=\"T_fdd8f_row1_col15\" class=\"data row1 col15\" >19%</td>\n    </tr>\n    <tr>\n      <th id=\"T_fdd8f_level0_row2\" class=\"row_heading level0 row2\" >Freizeit und Erholung</th>\n      <td id=\"T_fdd8f_row2_col0\" class=\"data row2 col0\" >8%</td>\n      <td id=\"T_fdd8f_row2_col1\" class=\"data row2 col1\" >9%</td>\n      <td id=\"T_fdd8f_row2_col2\" class=\"data row2 col2\" >3%</td>\n      <td id=\"T_fdd8f_row2_col3\" class=\"data row2 col3\" >13%</td>\n      <td id=\"T_fdd8f_row2_col4\" class=\"data row2 col4\" >5%</td>\n      <td id=\"T_fdd8f_row2_col5\" class=\"data row2 col5\" >3%</td>\n      <td id=\"T_fdd8f_row2_col6\" class=\"data row2 col6\" >4%</td>\n      <td id=\"T_fdd8f_row2_col7\" class=\"data row2 col7\" >2%</td>\n      <td id=\"T_fdd8f_row2_col8\" class=\"data row2 col8\" >6%</td>\n      <td id=\"T_fdd8f_row2_col9\" class=\"data row2 col9\" >2%</td>\n      <td id=\"T_fdd8f_row2_col10\" class=\"data row2 col10\" >4%</td>\n      <td id=\"T_fdd8f_row2_col11\" class=\"data row2 col11\" >13%</td>\n      <td id=\"T_fdd8f_row2_col12\" class=\"data row2 col12\" >3%</td>\n      <td id=\"T_fdd8f_row2_col13\" class=\"data row2 col13\" >4%</td>\n      <td id=\"T_fdd8f_row2_col14\" class=\"data row2 col14\" >4%</td>\n      <td id=\"T_fdd8f_row2_col15\" class=\"data row2 col15\" >4%</td>\n    </tr>\n    <tr>\n      <th id=\"T_fdd8f_level0_row3\" class=\"row_heading level0 row3\" >Infrastruktur</th>\n      <td id=\"T_fdd8f_row3_col0\" class=\"data row3 col0\" >12%</td>\n      <td id=\"T_fdd8f_row3_col1\" class=\"data row3 col1\" >21%</td>\n      <td id=\"T_fdd8f_row3_col2\" class=\"data row3 col2\" >6%</td>\n      <td id=\"T_fdd8f_row3_col3\" class=\"data row3 col3\" >23%</td>\n      <td id=\"T_fdd8f_row3_col4\" class=\"data row3 col4\" >23%</td>\n      <td id=\"T_fdd8f_row3_col5\" class=\"data row3 col5\" >17%</td>\n      <td id=\"T_fdd8f_row3_col6\" class=\"data row3 col6\" >28%</td>\n      <td id=\"T_fdd8f_row3_col7\" class=\"data row3 col7\" >12%</td>\n      <td id=\"T_fdd8f_row3_col8\" class=\"data row3 col8\" >33%</td>\n      <td id=\"T_fdd8f_row3_col9\" class=\"data row3 col9\" >42%</td>\n      <td id=\"T_fdd8f_row3_col10\" class=\"data row3 col10\" >14%</td>\n      <td id=\"T_fdd8f_row3_col11\" class=\"data row3 col11\" >7%</td>\n      <td id=\"T_fdd8f_row3_col12\" class=\"data row3 col12\" >19%</td>\n      <td id=\"T_fdd8f_row3_col13\" class=\"data row3 col13\" >22%</td>\n      <td id=\"T_fdd8f_row3_col14\" class=\"data row3 col14\" >22%</td>\n      <td id=\"T_fdd8f_row3_col15\" class=\"data row3 col15\" >18%</td>\n    </tr>\n    <tr>\n      <th id=\"T_fdd8f_level0_row4\" class=\"row_heading level0 row4\" >Landwirtschaft</th>\n      <td id=\"T_fdd8f_row4_col0\" class=\"data row4 col0\" >10%</td>\n      <td id=\"T_fdd8f_row4_col1\" class=\"data row4 col1\" >2%</td>\n      <td id=\"T_fdd8f_row4_col2\" class=\"data row4 col2\" >2%</td>\n      <td id=\"T_fdd8f_row4_col3\" class=\"data row4 col3\" >0%</td>\n      <td id=\"T_fdd8f_row4_col4\" class=\"data row4 col4\" >6%</td>\n      <td id=\"T_fdd8f_row4_col5\" class=\"data row4 col5\" >2%</td>\n      <td id=\"T_fdd8f_row4_col6\" class=\"data row4 col6\" >3%</td>\n      <td id=\"T_fdd8f_row4_col7\" class=\"data row4 col7\" >4%</td>\n      <td id=\"T_fdd8f_row4_col8\" class=\"data row4 col8\" >8%</td>\n      <td id=\"T_fdd8f_row4_col9\" class=\"data row4 col9\" >2%</td>\n      <td id=\"T_fdd8f_row4_col10\" class=\"data row4 col10\" >4%</td>\n      <td id=\"T_fdd8f_row4_col11\" class=\"data row4 col11\" >4%</td>\n      <td id=\"T_fdd8f_row4_col12\" class=\"data row4 col12\" >3%</td>\n      <td id=\"T_fdd8f_row4_col13\" class=\"data row4 col13\" >5%</td>\n      <td id=\"T_fdd8f_row4_col14\" class=\"data row4 col14\" >5%</td>\n      <td id=\"T_fdd8f_row4_col15\" class=\"data row4 col15\" >6%</td>\n    </tr>\n    <tr>\n      <th id=\"T_fdd8f_level0_row5\" class=\"row_heading level0 row5\" >Mikroplastik (< 5mm)</th>\n      <td id=\"T_fdd8f_row5_col0\" class=\"data row5 col0\" >2%</td>\n      <td id=\"T_fdd8f_row5_col1\" class=\"data row5 col1\" >2%</td>\n      <td id=\"T_fdd8f_row5_col2\" class=\"data row5 col2\" >20%</td>\n      <td id=\"T_fdd8f_row5_col3\" class=\"data row5 col3\" >0%</td>\n      <td id=\"T_fdd8f_row5_col4\" class=\"data row5 col4\" >1%</td>\n      <td id=\"T_fdd8f_row5_col5\" class=\"data row5 col5\" >15%</td>\n      <td id=\"T_fdd8f_row5_col6\" class=\"data row5 col6\" >0%</td>\n      <td id=\"T_fdd8f_row5_col7\" class=\"data row5 col7\" >27%</td>\n      <td id=\"T_fdd8f_row5_col8\" class=\"data row5 col8\" >4%</td>\n      <td id=\"T_fdd8f_row5_col9\" class=\"data row5 col9\" >12%</td>\n      <td id=\"T_fdd8f_row5_col10\" class=\"data row5 col10\" >12%</td>\n      <td id=\"T_fdd8f_row5_col11\" class=\"data row5 col11\" >3%</td>\n      <td id=\"T_fdd8f_row5_col12\" class=\"data row5 col12\" >9%</td>\n      <td id=\"T_fdd8f_row5_col13\" class=\"data row5 col13\" >11%</td>\n      <td id=\"T_fdd8f_row5_col14\" class=\"data row5 col14\" >10%</td>\n      <td id=\"T_fdd8f_row5_col15\" class=\"data row5 col15\" >8%</td>\n    </tr>\n    <tr>\n      <th id=\"T_fdd8f_level0_row6\" class=\"row_heading level0 row6\" >Persönliche Gegenstände</th>\n      <td id=\"T_fdd8f_row6_col0\" class=\"data row6 col0\" >2%</td>\n      <td id=\"T_fdd8f_row6_col1\" class=\"data row6 col1\" >6%</td>\n      <td id=\"T_fdd8f_row6_col2\" class=\"data row6 col2\" >3%</td>\n      <td id=\"T_fdd8f_row6_col3\" class=\"data row6 col3\" >3%</td>\n      <td id=\"T_fdd8f_row6_col4\" class=\"data row6 col4\" >3%</td>\n      <td id=\"T_fdd8f_row6_col5\" class=\"data row6 col5\" >2%</td>\n      <td id=\"T_fdd8f_row6_col6\" class=\"data row6 col6\" >2%</td>\n      <td id=\"T_fdd8f_row6_col7\" class=\"data row6 col7\" >1%</td>\n      <td id=\"T_fdd8f_row6_col8\" class=\"data row6 col8\" >2%</td>\n      <td id=\"T_fdd8f_row6_col9\" class=\"data row6 col9\" >2%</td>\n      <td id=\"T_fdd8f_row6_col10\" class=\"data row6 col10\" >2%</td>\n      <td id=\"T_fdd8f_row6_col11\" class=\"data row6 col11\" >2%</td>\n      <td id=\"T_fdd8f_row6_col12\" class=\"data row6 col12\" >2%</td>\n      <td id=\"T_fdd8f_row6_col13\" class=\"data row6 col13\" >2%</td>\n      <td id=\"T_fdd8f_row6_col14\" class=\"data row6 col14\" >2%</td>\n      <td id=\"T_fdd8f_row6_col15\" class=\"data row6 col15\" >3%</td>\n    </tr>\n    <tr>\n      <th id=\"T_fdd8f_level0_row7\" class=\"row_heading level0 row7\" >Plastikfragmente</th>\n      <td id=\"T_fdd8f_row7_col0\" class=\"data row7 col0\" >18%</td>\n      <td id=\"T_fdd8f_row7_col1\" class=\"data row7 col1\" >25%</td>\n      <td id=\"T_fdd8f_row7_col2\" class=\"data row7 col2\" >16%</td>\n      <td id=\"T_fdd8f_row7_col3\" class=\"data row7 col3\" >11%</td>\n      <td id=\"T_fdd8f_row7_col4\" class=\"data row7 col4\" >16%</td>\n      <td id=\"T_fdd8f_row7_col5\" class=\"data row7 col5\" >28%</td>\n      <td id=\"T_fdd8f_row7_col6\" class=\"data row7 col6\" >9%</td>\n      <td id=\"T_fdd8f_row7_col7\" class=\"data row7 col7\" >14%</td>\n      <td id=\"T_fdd8f_row7_col8\" class=\"data row7 col8\" >16%</td>\n      <td id=\"T_fdd8f_row7_col9\" class=\"data row7 col9\" >12%</td>\n      <td id=\"T_fdd8f_row7_col10\" class=\"data row7 col10\" >19%</td>\n      <td id=\"T_fdd8f_row7_col11\" class=\"data row7 col11\" >32%</td>\n      <td id=\"T_fdd8f_row7_col12\" class=\"data row7 col12\" >11%</td>\n      <td id=\"T_fdd8f_row7_col13\" class=\"data row7 col13\" >15%</td>\n      <td id=\"T_fdd8f_row7_col14\" class=\"data row7 col14\" >15%</td>\n      <td id=\"T_fdd8f_row7_col15\" class=\"data row7 col15\" >14%</td>\n    </tr>\n    <tr>\n      <th id=\"T_fdd8f_level0_row8\" class=\"row_heading level0 row8\" >Tabakwaren</th>\n      <td id=\"T_fdd8f_row8_col0\" class=\"data row8 col0\" >8%</td>\n      <td id=\"T_fdd8f_row8_col1\" class=\"data row8 col1\" >7%</td>\n      <td id=\"T_fdd8f_row8_col2\" class=\"data row8 col2\" >21%</td>\n      <td id=\"T_fdd8f_row8_col3\" class=\"data row8 col3\" >14%</td>\n      <td id=\"T_fdd8f_row8_col4\" class=\"data row8 col4\" >11%</td>\n      <td id=\"T_fdd8f_row8_col5\" class=\"data row8 col5\" >11%</td>\n      <td id=\"T_fdd8f_row8_col6\" class=\"data row8 col6\" >23%</td>\n      <td id=\"T_fdd8f_row8_col7\" class=\"data row8 col7\" >16%</td>\n      <td id=\"T_fdd8f_row8_col8\" class=\"data row8 col8\" >3%</td>\n      <td id=\"T_fdd8f_row8_col9\" class=\"data row8 col9\" >6%</td>\n      <td id=\"T_fdd8f_row8_col10\" class=\"data row8 col10\" >28%</td>\n      <td id=\"T_fdd8f_row8_col11\" class=\"data row8 col11\" >12%</td>\n      <td id=\"T_fdd8f_row8_col12\" class=\"data row8 col12\" >26%</td>\n      <td id=\"T_fdd8f_row8_col13\" class=\"data row8 col13\" >13%</td>\n      <td id=\"T_fdd8f_row8_col14\" class=\"data row8 col14\" >12%</td>\n      <td id=\"T_fdd8f_row8_col15\" class=\"data row8 col15\" >17%</td>\n    </tr>\n    <tr>\n      <th id=\"T_fdd8f_level0_row9\" class=\"row_heading level0 row9\" >Verpackungen ohne Lebensmittel/Tabak</th>\n      <td id=\"T_fdd8f_row9_col0\" class=\"data row9 col0\" >4%</td>\n      <td id=\"T_fdd8f_row9_col1\" class=\"data row9 col1\" >3%</td>\n      <td id=\"T_fdd8f_row9_col2\" class=\"data row9 col2\" >3%</td>\n      <td id=\"T_fdd8f_row9_col3\" class=\"data row9 col3\" >4%</td>\n      <td id=\"T_fdd8f_row9_col4\" class=\"data row9 col4\" >3%</td>\n      <td id=\"T_fdd8f_row9_col5\" class=\"data row9 col5\" >2%</td>\n      <td id=\"T_fdd8f_row9_col6\" class=\"data row9 col6\" >4%</td>\n      <td id=\"T_fdd8f_row9_col7\" class=\"data row9 col7\" >5%</td>\n      <td id=\"T_fdd8f_row9_col8\" class=\"data row9 col8\" >3%</td>\n      <td id=\"T_fdd8f_row9_col9\" class=\"data row9 col9\" >3%</td>\n      <td id=\"T_fdd8f_row9_col10\" class=\"data row9 col10\" >1%</td>\n      <td id=\"T_fdd8f_row9_col11\" class=\"data row9 col11\" >3%</td>\n      <td id=\"T_fdd8f_row9_col12\" class=\"data row9 col12\" >4%</td>\n      <td id=\"T_fdd8f_row9_col13\" class=\"data row9 col13\" >3%</td>\n      <td id=\"T_fdd8f_row9_col14\" class=\"data row9 col14\" >4%</td>\n      <td id=\"T_fdd8f_row9_col15\" class=\"data row9 col15\" >5%</td>\n    </tr>\n    <tr>\n      <th id=\"T_fdd8f_level0_row10\" class=\"row_heading level0 row10\" >nicht klassifiziert</th>\n      <td id=\"T_fdd8f_row10_col0\" class=\"data row10 col0\" >1%</td>\n      <td id=\"T_fdd8f_row10_col1\" class=\"data row10 col1\" >0%</td>\n      <td id=\"T_fdd8f_row10_col2\" class=\"data row10 col2\" >3%</td>\n      <td id=\"T_fdd8f_row10_col3\" class=\"data row10 col3\" >1%</td>\n      <td id=\"T_fdd8f_row10_col4\" class=\"data row10 col4\" >5%</td>\n      <td id=\"T_fdd8f_row10_col5\" class=\"data row10 col5\" >0%</td>\n      <td id=\"T_fdd8f_row10_col6\" class=\"data row10 col6\" >1%</td>\n      <td id=\"T_fdd8f_row10_col7\" class=\"data row10 col7\" >0%</td>\n      <td id=\"T_fdd8f_row10_col8\" class=\"data row10 col8\" >1%</td>\n      <td id=\"T_fdd8f_row10_col9\" class=\"data row10 col9\" >1%</td>\n      <td id=\"T_fdd8f_row10_col10\" class=\"data row10 col10\" >1%</td>\n      <td id=\"T_fdd8f_row10_col11\" class=\"data row10 col11\" >1%</td>\n      <td id=\"T_fdd8f_row10_col12\" class=\"data row10 col12\" >1%</td>\n      <td id=\"T_fdd8f_row10_col13\" class=\"data row10 col13\" >1%</td>\n      <td id=\"T_fdd8f_row10_col14\" class=\"data row10 col14\" >1%</td>\n      <td id=\"T_fdd8f_row10_col15\" class=\"data row10 col15\" >1%</td>\n    </tr>\n  </tbody>\n</table>\n",
      "application/papermill.record/text/plain": "<pandas.io.formats.style.Styler at 0x7f1f9718f970>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_codegroup_percent"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# the results are a callable for the components\n",
    "components = fdx.componentCodeGroupResults()\n",
    "\n",
    "# pivot that and reomve any hierarchal column index\n",
    "pt_comp = components[[\"city\", \"groupname\", '% of total' ]].pivot(columns=\"city\", index=\"groupname\")\n",
    "pt_comp.columns = pt_comp.columns.get_level_values(1)\n",
    "\n",
    "# the aggregated codegroup results from the feature\n",
    "pt_feature = fdx.codegroup_summary[\"% of total\"]\n",
    "pt_comp[this_feature[\"name\"]] = pt_feature\n",
    "\n",
    "# the aggregated totals for the parent level\n",
    "pt_parent = period_data.parentGroupTotals(parent=True, percent=True)\n",
    "pt_comp[bassin_label] = pt_parent\n",
    "\n",
    "# the aggregated totals for the period\n",
    "pt_period = period_data.parentGroupTotals(parent=False, percent=True)\n",
    "pt_comp[top] = pt_period\n",
    "\n",
    "# caption\n",
    "code_group_percent_caption = [\n",
    "    'Verwendungszweck oder Beschreibung der identifizierten Objekte in % der ',\n",
    "    f'Gesamtzahl nach Gemeinden im Erhebungsgebiet {this_feature[\"name\"]}. '\n",
    "    'Fragmentierte Objekte, die nicht eindeutig identifiziert werden können, ',\n",
    "    'werden weiterhin nach ihrer Grösse klassifiziert.'\n",
    "]\n",
    "\n",
    "code_group_percent_caption = ''.join(code_group_percent_caption)\n",
    "\n",
    "# format for data frame\n",
    "pt_comp.index.name = None\n",
    "pt_comp.columns.name = None\n",
    "aformatter = {x: '{:.0%}' for x in pt_comp.columns}\n",
    "ptd = pt_comp.style.format(aformatter).set_table_styles(heat_map_css_styles).background_gradient(axis=None, vmin=pt_comp.min().min(), vmax=pt_comp.max().max(), cmap=\"YlOrBr\")\n",
    "ptd = ptd.applymap_index(featuredata.rotateText, axis=1)\n",
    "\n",
    "caption_prefix =  'Verwendungszweck oder Beschreibung der identifizierten Objekte in % der Gesamtzahl nach Gemeinden: '\n",
    "\n",
    "\n",
    "col_widths = [4.5*cm, *[1.2*cm]*(len(pt_comp.columns)-1)]\n",
    "cgpercent_tables = featuredata.splitTableWidth(pt_comp.mul(100).astype(int), gradient=True, caption_prefix=caption_prefix, caption= code_group_percent_caption,\n",
    "                    this_feature=this_feature[\"name\"], vertical_header=True, colWidths=col_widths) \n",
    "\n",
    "\n",
    "glue(\"lac-leman_codegroup_percent_caption\", code_group_percent_caption, display=False)\n",
    "glue(\"lac-leman_codegroup_percent\", ptd, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} lac-leman_codegroup_percent\n",
    "---\n",
    "name: 'lac-leman_codegroup_percent'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <lac-leman_codegroup_percent>`  {glue:text}`lac-leman_codegroup_percent_caption` "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Verwendungszweck der gefundenen Objekte Median p/100 m am Lac Léman. Fragmentierte Objekte, die nicht eindeutig identifiziert werden können, werden weiterhin nach ihrer Grösse klassifiziert.'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_codegroup_pcsm_caption"
      }
     },
     "output_type": "display_data"
    },
    {
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#T_47f98_row3_col0 {\n  background-color: #fff1b0;\n  color: #000000;\n}\n#T_47f98_row1_col7, #T_47f98_row3_col3, #T_47f98_row7_col4, #T_47f98_row7_col12 {\n  background-color: #fffbd3;\n  color: #000000;\n}\n#T_47f98_row1_col8 {\n  background-color: #f78921;\n  color: #f1f1f1;\n}\n#T_47f98_row1_col9 {\n  background-color: #fed471;\n  color: #000000;\n}\n#T_47f98_row1_col11, #T_47f98_row7_col14 {\n  background-color: #fffaca;\n  color: #000000;\n}\n#T_47f98_row1_col12, #T_47f98_row8_col5 {\n  background-color: #fee89b;\n  color: #000000;\n}\n#T_47f98_row1_col13, #T_47f98_row3_col12 {\n  background-color: #fff3b2;\n  color: #000000;\n}\n#T_47f98_row1_col14, #T_47f98_row3_col6 {\n  background-color: #fff6b9;\n  color: #000000;\n}\n#T_47f98_row1_col15, #T_47f98_row2_col5, #T_47f98_row8_col1, #T_47f98_row8_col4, #T_47f98_row9_col9 {\n  background-color: #fffbd0;\n  color: #000000;\n}\n#T_47f98_row2_col0 {\n  background-color: #fff8c4;\n  color: #000000;\n}\n#T_47f98_row2_col9 {\n  background-color: #fffcd4;\n  color: #000000;\n}\n#T_47f98_row2_col11, #T_47f98_row6_col9 {\n  background-color: #fffcd8;\n  color: #000000;\n}\n#T_47f98_row3_col1 {\n  background-color: #ffeea9;\n  color: #000000;\n}\n#T_47f98_row3_col8 {\n  background-color: #662506;\n  color: #f1f1f1;\n}\n#T_47f98_row3_col9 {\n  background-color: #fe9a2a;\n  color: #000000;\n}\n#T_47f98_row3_col13, #T_47f98_row4_col0 {\n  background-color: #fff7bc;\n  color: #000000;\n}\n#T_47f98_row3_col14, #T_47f98_row5_col8 {\n  background-color: #fff9c6;\n  color: #000000;\n}\n#T_47f98_row4_col1, #T_47f98_row4_col6, #T_47f98_row4_col11, #T_47f98_row5_col14, #T_47f98_row6_col6, #T_47f98_row9_col13, #T_47f98_row9_col14, #T_47f98_row10_col9 {\n  background-color: #fffedf;\n  color: #000000;\n}\n#T_47f98_row4_col2, #T_47f98_row4_col3, #T_47f98_row5_col0, #T_47f98_row5_col3, #T_47f98_row5_col4, #T_47f98_row5_col6, #T_47f98_row5_col15, #T_47f98_row10_col1, #T_47f98_row10_col2, #T_47f98_row10_col3, #T_47f98_row10_col4, #T_47f98_row10_col5, #T_47f98_row10_col6, #T_47f98_row10_col7, #T_47f98_row10_col11, #T_47f98_row10_col13, #T_47f98_row10_col14, #T_47f98_row10_col15 {\n  background-color: #ffffe5;\n  color: #000000;\n}\n#T_47f98_row4_col8 {\n  background-color: #fff1ae;\n  color: #000000;\n}\n#T_47f98_row4_col9, #T_47f98_row6_col1, #T_47f98_row7_col6, #T_47f98_row8_col8 {\n  background-color: #fffcd6;\n  color: #000000;\n}\n#T_47f98_row4_col15, #T_47f98_row5_col1, #T_47f98_row5_col2, #T_47f98_row6_col10, #T_47f98_row6_col12, #T_47f98_row9_col11 {\n  background-color: #fffee1;\n  color: #000000;\n}\n#T_47f98_row5_col5, #T_47f98_row7_col5, #T_47f98_row8_col6 {\n  background-color: #feeaa0;\n  color: #000000;\n}\n#T_47f98_row5_col9 {\n  background-color: #fedf88;\n  color: #000000;\n}\n#T_47f98_row5_col10, #T_47f98_row8_col0, #T_47f98_row8_col11 {\n  background-color: #ffface;\n  color: #000000;\n}\n#T_47f98_row5_col12 {\n  background-color: #fffbcf;\n  color: #000000;\n}\n#T_47f98_row7_col0 {\n  background-color: #fee08a;\n  color: #000000;\n}\n#T_47f98_row7_col1 {\n  background-color: #fee89d;\n  color: #000000;\n}\n#T_47f98_row7_col8 {\n  background-color: #feab39;\n  color: #000000;\n}\n#T_47f98_row7_col9 {\n  background-color: #fed778;\n  color: #000000;\n}\n#T_47f98_row7_col10 {\n  background-color: #fff7be;\n  color: #000000;\n}\n#T_47f98_row7_col11 {\n  background-color: #fff3b4;\n  color: #000000;\n}\n#T_47f98_row7_col13, #T_47f98_row9_col8 {\n  background-color: #fff8c2;\n  color: #000000;\n}\n#T_47f98_row8_col7 {\n  background-color: #fff5b8;\n  color: #000000;\n}\n#T_47f98_row8_col9 {\n  background-color: #fff2b1;\n  color: #000000;\n}\n#T_47f98_row8_col12 {\n  background-color: #feeba2;\n  color: #000000;\n}\n#T_47f98_row8_col14 {\n  background-color: #fff9c9;\n  color: #000000;\n}\n#T_47f98_row8_col15 {\n  background-color: #fffcd7;\n  color: #000000;\n}\n#T_47f98_level0_col0, #T_47f98_level0_col1, #T_47f98_level0_col2, #T_47f98_level0_col3, #T_47f98_level0_col4, #T_47f98_level0_col5, #T_47f98_level0_col6, #T_47f98_level0_col7, #T_47f98_level0_col8, #T_47f98_level0_col9, #T_47f98_level0_col10, #T_47f98_level0_col11, #T_47f98_level0_col12, #T_47f98_level0_col13, #T_47f98_level0_col14, #T_47f98_level0_col15 {\n  writing-mode: vertical-lr;\n  transform: rotate(-180deg);\n  padding: 10px;\n  margins: 0;\n  vertical-align: baseline;\n}\n</style>\n<table id=\"T_47f98\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_47f98_level0_col0\" class=\"col_heading level0 col0\" >Allaman</th>\n      <th id=\"T_47f98_level0_col1\" class=\"col_heading level0 col1\" >Bourg-en-Lavaux</th>\n      <th id=\"T_47f98_level0_col2\" class=\"col_heading level0 col2\" >Genève</th>\n      <th id=\"T_47f98_level0_col3\" class=\"col_heading level0 col3\" >Gland</th>\n      <th id=\"T_47f98_level0_col4\" class=\"col_heading level0 col4\" >La Tour-de-Peilz</th>\n      <th id=\"T_47f98_level0_col5\" class=\"col_heading level0 col5\" >Lausanne</th>\n      <th id=\"T_47f98_level0_col6\" class=\"col_heading level0 col6\" >Montreux</th>\n      <th id=\"T_47f98_level0_col7\" class=\"col_heading level0 col7\" >Préverenges</th>\n      <th id=\"T_47f98_level0_col8\" class=\"col_heading level0 col8\" >Saint-Gingolph</th>\n      <th id=\"T_47f98_level0_col9\" class=\"col_heading level0 col9\" >Saint-Sulpice (VD)</th>\n      <th id=\"T_47f98_level0_col10\" class=\"col_heading level0 col10\" >Tolochenaz</th>\n      <th id=\"T_47f98_level0_col11\" class=\"col_heading level0 col11\" >Versoix</th>\n      <th id=\"T_47f98_level0_col12\" class=\"col_heading level0 col12\" >Vevey</th>\n      <th id=\"T_47f98_level0_col13\" class=\"col_heading level0 col13\" >Lac Léman</th>\n      <th id=\"T_47f98_level0_col14\" class=\"col_heading level0 col14\" >Erhebungsgebiet Rhône</th>\n      <th id=\"T_47f98_level0_col15\" class=\"col_heading level0 col15\" >Alle Erhebungsgebiete</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_47f98_level0_row0\" class=\"row_heading level0 row0\" >Abwasser</th>\n      <td id=\"T_47f98_row0_col0\" class=\"data row0 col0\" >106,0</td>\n      <td id=\"T_47f98_row0_col1\" class=\"data row0 col1\" >53,5</td>\n      <td id=\"T_47f98_row0_col2\" class=\"data row0 col2\" >4,0</td>\n      <td id=\"T_47f98_row0_col3\" class=\"data row0 col3\" >10,0</td>\n      <td id=\"T_47f98_row0_col4\" class=\"data row0 col4\" >11,0</td>\n      <td id=\"T_47f98_row0_col5\" class=\"data row0 col5\" >100,0</td>\n      <td id=\"T_47f98_row0_col6\" class=\"data row0 col6\" >6,0</td>\n      <td id=\"T_47f98_row0_col7\" class=\"data row0 col7\" >22,0</td>\n      <td id=\"T_47f98_row0_col8\" class=\"data row0 col8\" >144,0</td>\n      <td id=\"T_47f98_row0_col9\" class=\"data row0 col9\" >97,0</td>\n      <td id=\"T_47f98_row0_col10\" class=\"data row0 col10\" >15,0</td>\n      <td id=\"T_47f98_row0_col11\" class=\"data row0 col11\" >17,0</td>\n      <td id=\"T_47f98_row0_col12\" class=\"data row0 col12\" >15,5</td>\n      <td id=\"T_47f98_row0_col13\" class=\"data row0 col13\" >19,5</td>\n      <td id=\"T_47f98_row0_col14\" class=\"data row0 col14\" >19,0</td>\n      <td id=\"T_47f98_row0_col15\" class=\"data row0 col15\" >3,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_47f98_level0_row1\" class=\"row_heading level0 row1\" >Essen und Trinken</th>\n      <td id=\"T_47f98_row1_col0\" class=\"data row1 col0\" >132,0</td>\n      <td id=\"T_47f98_row1_col1\" class=\"data row1 col1\" >70,0</td>\n      <td id=\"T_47f98_row1_col2\" class=\"data row1 col2\" >44,5</td>\n      <td id=\"T_47f98_row1_col3\" class=\"data row1 col3\" >35,5</td>\n      <td id=\"T_47f98_row1_col4\" class=\"data row1 col4\" >46,0</td>\n      <td id=\"T_47f98_row1_col5\" class=\"data row1 col5\" >220,0</td>\n      <td id=\"T_47f98_row1_col6\" class=\"data row1 col6\" >93,0</td>\n      <td id=\"T_47f98_row1_col7\" class=\"data row1 col7\" >32,0</td>\n      <td id=\"T_47f98_row1_col8\" class=\"data row1 col8\" >314,0</td>\n      <td id=\"T_47f98_row1_col9\" class=\"data row1 col9\" >177,0</td>\n      <td id=\"T_47f98_row1_col10\" class=\"data row1 col10\" >34,5</td>\n      <td id=\"T_47f98_row1_col11\" class=\"data row1 col11\" >47,0</td>\n      <td id=\"T_47f98_row1_col12\" class=\"data row1 col12\" >125,5</td>\n      <td id=\"T_47f98_row1_col13\" class=\"data row1 col13\" >87,5</td>\n      <td id=\"T_47f98_row1_col14\" class=\"data row1 col14\" >76,0</td>\n      <td id=\"T_47f98_row1_col15\" class=\"data row1 col15\" >37,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_47f98_level0_row2\" class=\"row_heading level0 row2\" >Freizeit und Erholung</th>\n      <td id=\"T_47f98_row2_col0\" class=\"data row2 col0\" >59,0</td>\n      <td id=\"T_47f98_row2_col1\" class=\"data row2 col1\" >45,0</td>\n      <td id=\"T_47f98_row2_col2\" class=\"data row2 col2\" >3,5</td>\n      <td id=\"T_47f98_row2_col3\" class=\"data row2 col3\" >19,5</td>\n      <td id=\"T_47f98_row2_col4\" class=\"data row2 col4\" >16,0</td>\n      <td id=\"T_47f98_row2_col5\" class=\"data row2 col5\" >37,0</td>\n      <td id=\"T_47f98_row2_col6\" class=\"data row2 col6\" >15,0</td>\n      <td id=\"T_47f98_row2_col7\" class=\"data row2 col7\" >10,0</td>\n      <td id=\"T_47f98_row2_col8\" class=\"data row2 col8\" >99,0</td>\n      <td id=\"T_47f98_row2_col9\" class=\"data row2 col9\" >30,0</td>\n      <td id=\"T_47f98_row2_col10\" class=\"data row2 col10\" >13,5</td>\n      <td id=\"T_47f98_row2_col11\" class=\"data row2 col11\" >24,0</td>\n      <td id=\"T_47f98_row2_col12\" class=\"data row2 col12\" >9,0</td>\n      <td id=\"T_47f98_row2_col13\" class=\"data row2 col13\" >19,0</td>\n      <td id=\"T_47f98_row2_col14\" class=\"data row2 col14\" >16,5</td>\n      <td id=\"T_47f98_row2_col15\" class=\"data row2 col15\" >6,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_47f98_level0_row3\" class=\"row_heading level0 row3\" >Infrastruktur</th>\n      <td id=\"T_47f98_row3_col0\" class=\"data row3 col0\" >93,0</td>\n      <td id=\"T_47f98_row3_col1\" class=\"data row3 col1\" >104,5</td>\n      <td id=\"T_47f98_row3_col2\" class=\"data row3 col2\" >16,0</td>\n      <td id=\"T_47f98_row3_col3\" class=\"data row3 col3\" >32,0</td>\n      <td id=\"T_47f98_row3_col4\" class=\"data row3 col4\" >70,0</td>\n      <td id=\"T_47f98_row3_col5\" class=\"data row3 col5\" >220,0</td>\n      <td id=\"T_47f98_row3_col6\" class=\"data row3 col6\" >78,0</td>\n      <td id=\"T_47f98_row3_col7\" class=\"data row3 col7\" >46,0</td>\n      <td id=\"T_47f98_row3_col8\" class=\"data row3 col8\" >572,0</td>\n      <td id=\"T_47f98_row3_col9\" class=\"data row3 col9\" >285,0</td>\n      <td id=\"T_47f98_row3_col10\" class=\"data row3 col10\" >43,0</td>\n      <td id=\"T_47f98_row3_col11\" class=\"data row3 col11\" >20,0</td>\n      <td id=\"T_47f98_row3_col12\" class=\"data row3 col12\" >87,5</td>\n      <td id=\"T_47f98_row3_col13\" class=\"data row3 col13\" >71,5</td>\n      <td id=\"T_47f98_row3_col14\" class=\"data row3 col14\" >55,5</td>\n      <td id=\"T_47f98_row3_col15\" class=\"data row3 col15\" >20,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_47f98_level0_row4\" class=\"row_heading level0 row4\" >Landwirtschaft</th>\n      <td id=\"T_47f98_row4_col0\" class=\"data row4 col0\" >72,0</td>\n      <td id=\"T_47f98_row4_col1\" class=\"data row4 col1\" >12,5</td>\n      <td id=\"T_47f98_row4_col2\" class=\"data row4 col2\" >2,0</td>\n      <td id=\"T_47f98_row4_col3\" class=\"data row4 col3\" >0,0</td>\n      <td id=\"T_47f98_row4_col4\" class=\"data row4 col4\" >9,0</td>\n      <td id=\"T_47f98_row4_col5\" class=\"data row4 col5\" >17,0</td>\n      <td id=\"T_47f98_row4_col6\" class=\"data row4 col6\" >12,0</td>\n      <td id=\"T_47f98_row4_col7\" class=\"data row4 col7\" >15,0</td>\n      <td id=\"T_47f98_row4_col8\" class=\"data row4 col8\" >96,0</td>\n      <td id=\"T_47f98_row4_col9\" class=\"data row4 col9\" >29,0</td>\n      <td id=\"T_47f98_row4_col10\" class=\"data row4 col10\" >17,0</td>\n      <td id=\"T_47f98_row4_col11\" class=\"data row4 col11\" >13,0</td>\n      <td id=\"T_47f98_row4_col12\" class=\"data row4 col12\" >17,0</td>\n      <td id=\"T_47f98_row4_col13\" class=\"data row4 col13\" >14,0</td>\n      <td id=\"T_47f98_row4_col14\" class=\"data row4 col14\" >14,0</td>\n      <td id=\"T_47f98_row4_col15\" class=\"data row4 col15\" >7,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_47f98_level0_row5\" class=\"row_heading level0 row5\" >Mikroplastik (< 5mm)</th>\n      <td id=\"T_47f98_row5_col0\" class=\"data row5 col0\" >0,0</td>\n      <td id=\"T_47f98_row5_col1\" class=\"data row5 col1\" >8,0</td>\n      <td id=\"T_47f98_row5_col2\" class=\"data row5 col2\" >8,0</td>\n      <td id=\"T_47f98_row5_col3\" class=\"data row5 col3\" >0,0</td>\n      <td id=\"T_47f98_row5_col4\" class=\"data row5 col4\" >0,0</td>\n      <td id=\"T_47f98_row5_col5\" class=\"data row5 col5\" >120,0</td>\n      <td id=\"T_47f98_row5_col6\" class=\"data row5 col6\" >0,0</td>\n      <td id=\"T_47f98_row5_col7\" class=\"data row5 col7\" >70,0</td>\n      <td id=\"T_47f98_row5_col8\" class=\"data row5 col8\" >54,0</td>\n      <td id=\"T_47f98_row5_col9\" class=\"data row5 col9\" >154,0</td>\n      <td id=\"T_47f98_row5_col10\" class=\"data row5 col10\" >40,5</td>\n      <td id=\"T_47f98_row5_col11\" class=\"data row5 col11\" >6,0</td>\n      <td id=\"T_47f98_row5_col12\" class=\"data row5 col12\" >40,0</td>\n      <td id=\"T_47f98_row5_col13\" class=\"data row5 col13\" >16,0</td>\n      <td id=\"T_47f98_row5_col14\" class=\"data row5 col14\" >11,5</td>\n      <td id=\"T_47f98_row5_col15\" class=\"data row5 col15\" >1,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_47f98_level0_row6\" class=\"row_heading level0 row6\" >Persönliche Gegenstände</th>\n      <td id=\"T_47f98_row6_col0\" class=\"data row6 col0\" >15,0</td>\n      <td id=\"T_47f98_row6_col1\" class=\"data row6 col1\" >29,0</td>\n      <td id=\"T_47f98_row6_col2\" class=\"data row6 col2\" >9,0</td>\n      <td id=\"T_47f98_row6_col3\" class=\"data row6 col3\" >4,0</td>\n      <td id=\"T_47f98_row6_col4\" class=\"data row6 col4\" >10,0</td>\n      <td id=\"T_47f98_row6_col5\" class=\"data row6 col5\" >21,0</td>\n      <td id=\"T_47f98_row6_col6\" class=\"data row6 col6\" >12,0</td>\n      <td id=\"T_47f98_row6_col7\" class=\"data row6 col7\" >6,0</td>\n      <td id=\"T_47f98_row6_col8\" class=\"data row6 col8\" >34,0</td>\n      <td id=\"T_47f98_row6_col9\" class=\"data row6 col9\" >23,0</td>\n      <td id=\"T_47f98_row6_col10\" class=\"data row6 col10\" >7,5</td>\n      <td id=\"T_47f98_row6_col11\" class=\"data row6 col11\" >6,0</td>\n      <td id=\"T_47f98_row6_col12\" class=\"data row6 col12\" >8,5</td>\n      <td id=\"T_47f98_row6_col13\" class=\"data row6 col13\" >10,0</td>\n      <td id=\"T_47f98_row6_col14\" class=\"data row6 col14\" >10,0</td>\n      <td id=\"T_47f98_row6_col15\" class=\"data row6 col15\" >6,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_47f98_level0_row7\" class=\"row_heading level0 row7\" >Plastikfragmente</th>\n      <td id=\"T_47f98_row7_col0\" class=\"data row7 col0\" >151,0</td>\n      <td id=\"T_47f98_row7_col1\" class=\"data row7 col1\" >125,0</td>\n      <td id=\"T_47f98_row7_col2\" class=\"data row7 col2\" >15,5</td>\n      <td id=\"T_47f98_row7_col3\" class=\"data row7 col3\" >16,0</td>\n      <td id=\"T_47f98_row7_col4\" class=\"data row7 col4\" >32,0</td>\n      <td id=\"T_47f98_row7_col5\" class=\"data row7 col5\" >120,0</td>\n      <td id=\"T_47f98_row7_col6\" class=\"data row7 col6\" >28,0</td>\n      <td id=\"T_47f98_row7_col7\" class=\"data row7 col7\" >46,0</td>\n      <td id=\"T_47f98_row7_col8\" class=\"data row7 col8\" >256,0</td>\n      <td id=\"T_47f98_row7_col9\" class=\"data row7 col9\" >172,0</td>\n      <td id=\"T_47f98_row7_col10\" class=\"data row7 col10\" >68,5</td>\n      <td id=\"T_47f98_row7_col11\" class=\"data row7 col11\" >87,0</td>\n      <td id=\"T_47f98_row7_col12\" class=\"data row7 col12\" >32,0</td>\n      <td id=\"T_47f98_row7_col13\" class=\"data row7 col13\" >61,5</td>\n      <td id=\"T_47f98_row7_col14\" class=\"data row7 col14\" >48,0</td>\n      <td id=\"T_47f98_row7_col15\" class=\"data row7 col15\" >18,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_47f98_level0_row8\" class=\"row_heading level0 row8\" >Tabakwaren</th>\n      <td id=\"T_47f98_row8_col0\" class=\"data row8 col0\" >42,0</td>\n      <td id=\"T_47f98_row8_col1\" class=\"data row8 col1\" >37,5</td>\n      <td id=\"T_47f98_row8_col2\" class=\"data row8 col2\" >21,0</td>\n      <td id=\"T_47f98_row8_col3\" class=\"data row8 col3\" >19,0</td>\n      <td id=\"T_47f98_row8_col4\" class=\"data row8 col4\" >37,0</td>\n      <td id=\"T_47f98_row8_col5\" class=\"data row8 col5\" >126,0</td>\n      <td id=\"T_47f98_row8_col6\" class=\"data row8 col6\" >119,0</td>\n      <td id=\"T_47f98_row8_col7\" class=\"data row8 col7\" >80,0</td>\n      <td id=\"T_47f98_row8_col8\" class=\"data row8 col8\" >28,0</td>\n      <td id=\"T_47f98_row8_col9\" class=\"data row8 col9\" >90,0</td>\n      <td id=\"T_47f98_row8_col10\" class=\"data row8 col10\" >107,0</td>\n      <td id=\"T_47f98_row8_col11\" class=\"data row8 col11\" >41,0</td>\n      <td id=\"T_47f98_row8_col12\" class=\"data row8 col12\" >116,0</td>\n      <td id=\"T_47f98_row8_col13\" class=\"data row8 col13\" >52,0</td>\n      <td id=\"T_47f98_row8_col14\" class=\"data row8 col14\" >50,0</td>\n      <td id=\"T_47f98_row8_col15\" class=\"data row8 col15\" >25,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_47f98_level0_row9\" class=\"row_heading level0 row9\" >Verpackungen ohne Lebensmittel/Tabak</th>\n      <td id=\"T_47f98_row9_col0\" class=\"data row9 col0\" >45,0</td>\n      <td id=\"T_47f98_row9_col1\" class=\"data row9 col1\" >16,5</td>\n      <td id=\"T_47f98_row9_col2\" class=\"data row9 col2\" >4,0</td>\n      <td id=\"T_47f98_row9_col3\" class=\"data row9 col3\" >6,0</td>\n      <td id=\"T_47f98_row9_col4\" class=\"data row9 col4\" >10,0</td>\n      <td id=\"T_47f98_row9_col5\" class=\"data row9 col5\" >20,0</td>\n      <td id=\"T_47f98_row9_col6\" class=\"data row9 col6\" >19,0</td>\n      <td id=\"T_47f98_row9_col7\" class=\"data row9 col7\" >14,0</td>\n      <td id=\"T_47f98_row9_col8\" class=\"data row9 col8\" >61,0</td>\n      <td id=\"T_47f98_row9_col9\" class=\"data row9 col9\" >36,0</td>\n      <td id=\"T_47f98_row9_col10\" class=\"data row9 col10\" >4,5</td>\n      <td id=\"T_47f98_row9_col11\" class=\"data row9 col11\" >8,0</td>\n      <td id=\"T_47f98_row9_col12\" class=\"data row9 col12\" >19,0</td>\n      <td id=\"T_47f98_row9_col13\" class=\"data row9 col13\" >13,0</td>\n      <td id=\"T_47f98_row9_col14\" class=\"data row9 col14\" >13,0</td>\n      <td id=\"T_47f98_row9_col15\" class=\"data row9 col15\" >9,0</td>\n    </tr>\n    <tr>\n      <th id=\"T_47f98_level0_row10\" class=\"row_heading level0 row10\" >nicht klassifiziert</th>\n      <td id=\"T_47f98_row10_col0\" class=\"data row10 col0\" >6,0</td>\n      <td id=\"T_47f98_row10_col1\" class=\"data row10 col1\" >0,0</td>\n      <td id=\"T_47f98_row10_col2\" class=\"data row10 col2\" >2,0</td>\n      <td id=\"T_47f98_row10_col3\" class=\"data row10 col3\" >1,0</td>\n      <td id=\"T_47f98_row10_col4\" class=\"data row10 col4\" >0,0</td>\n      <td id=\"T_47f98_row10_col5\" class=\"data row10 col5\" >0,0</td>\n      <td id=\"T_47f98_row10_col6\" class=\"data row10 col6\" >0,0</td>\n      <td id=\"T_47f98_row10_col7\" class=\"data row10 col7\" >2,0</td>\n      <td id=\"T_47f98_row10_col8\" class=\"data row10 col8\" >6,0</td>\n      <td id=\"T_47f98_row10_col9\" class=\"data row10 col9\" >13,0</td>\n      <td id=\"T_47f98_row10_col10\" class=\"data row10 col10\" >4,5</td>\n      <td id=\"T_47f98_row10_col11\" class=\"data row10 col11\" >0,0</td>\n      <td id=\"T_47f98_row10_col12\" class=\"data row10 col12\" >2,5</td>\n      <td id=\"T_47f98_row10_col13\" class=\"data row10 col13\" >2,0</td>\n      <td id=\"T_47f98_row10_col14\" class=\"data row10 col14\" >2,0</td>\n      <td id=\"T_47f98_row10_col15\" class=\"data row10 col15\" >0,0</td>\n    </tr>\n  </tbody>\n</table>\n",
      "application/papermill.record/text/plain": "<pandas.io.formats.style.Styler at 0x7f1f8d216f40>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_codegroup_pcsm"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# pivot that\n",
    "grouppcs_comp = components[[\"city\", \"groupname\", unit_label ]].pivot(columns=\"city\", index=\"groupname\")\n",
    "\n",
    "# quash the hierarchal column index\n",
    "grouppcs_comp.columns = grouppcs_comp.columns.get_level_values(1)\n",
    "\n",
    "# the aggregated codegroup results from the feature\n",
    "pt_feature = fdx.codegroup_summary[unit_label]\n",
    "grouppcs_comp[this_feature[\"name\"]] = pt_feature\n",
    "\n",
    "# the aggregated totals for the parent level\n",
    "pt_parent = period_data.parentGroupTotals(parent=True, percent=False)\n",
    "grouppcs_comp[bassin_label] = pt_parent\n",
    "\n",
    "# the aggregated totals for the period\n",
    "pt_period = period_data.parentGroupTotals(parent=False, percent=False)\n",
    "grouppcs_comp[top] = pt_period\n",
    "\n",
    "# color gradient of restults\n",
    "code_group_pcsm_gradient = featuredata.colorGradientTable(grouppcs_comp)\n",
    "grouppcs_comp.index.name = None\n",
    "grouppcs_comp.columns.name = None\n",
    "\n",
    "# pdf and display output\n",
    "code_group_pcsm_caption = [\n",
    "    f'Verwendungszweck der gefundenen Objekte Median {unit_label} am ',\n",
    "    f'{this_feature[\"name\"]}. Fragmentierte Objekte, die nicht eindeutig ',\n",
    "    'identifiziert werden können, werden weiterhin nach ihrer Grösse klassifiziert.'\n",
    "]\n",
    "code_group_pcsm_caption = ''.join(code_group_pcsm_caption)\n",
    "\n",
    "caption_prefix =  f'Verwendungszweck der gefundenen Objekte Median {unit_label} am '\n",
    "col_widths = [4.5*cm, *[1.2*cm]*(len(grouppcs_comp.columns)-1)]\n",
    "cgpcsm_tables = featuredata.splitTableWidth(grouppcs_comp, gradient=True, caption_prefix=caption_prefix, \n",
    "                                caption=code_group_pcsm_caption, this_feature=this_feature[\"name\"], \n",
    "                                vertical_header=True, colWidths=col_widths)\n",
    "\n",
    "if isinstance(cgpcsm_tables, (list, np.ndarray)):\n",
    "    new_components = [\n",
    "        *cgpercent_tables,    \n",
    "        featuredata.larger_space,\n",
    "        *cgpcsm_tables,\n",
    "        featuredata.larger_space\n",
    "    ]\n",
    "else:\n",
    "    new_components = [\n",
    "    cgpercent_tables,    \n",
    "    featuredata.larger_space,\n",
    "    cgpcsm_tables,\n",
    "    featuredata.larger_space\n",
    "    ]\n",
    "    \n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)\n",
    "\n",
    "aformatter = {x: featuredata.replaceDecimal for x in grouppcs_comp.columns}\n",
    "cgp = grouppcs_comp.style.format(aformatter).set_table_styles(heat_map_css_styles).background_gradient(axis=None, vmin=grouppcs_comp.min().min(), vmax=grouppcs_comp.max().max(), cmap=\"YlOrBr\")\n",
    "cgp= cgp.applymap_index(featuredata.rotateText, axis=1)\n",
    "\n",
    "\n",
    "glue(\"lac-leman_codegroup_pcsm_caption\", code_group_pcsm_caption, display=False)\n",
    "glue(\"lac-leman_codegroup_pcsm\", cgp, display=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} lac-leman_codegroup_pcsm\n",
    "---\n",
    "name: 'lac-leman_codegroup_pcsm'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <lac-leman_codegroup_pcsm>` {glue:text}`lac-leman_codegroup_pcsm_caption`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "## Anhang\n",
    "\n",
    "### Schaumstoffe und Kunststoffe nach Grösse\n",
    "\n",
    "Die folgende Tabelle enthält die Komponenten «Gfoam» und «Gfrag», die für die Analyse gruppiert wurden. Objekte, die als Schaumstoffe gekennzeichnet sind, werden als Gfoam gruppiert und umfassen alle geschäumten Polystyrol-Kunststoffe > 0,5 cm. Kunststoffteile und Objekte aus kombinierten Kunststoff- und Schaumstoffmaterialien > 0,5 cm werden für die Analyse als Gfrags gruppiert."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "application/papermill.record/text/plain": "'Fragmentierte und geschäumte Kunststoffe nach Grösse am Lac LémanMedian p/100 m, Anzahl der gefundenen Objekte und Prozent der Gesamtmenge.'"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_frag_table_caption"
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/papermill.record/text/html": "<style type=\"text/css\">\n#T_926f3 tr:nth-child(even) {\n  background-color: rgba(139, 69, 19, 0.08);\n}\n#T_926f3 tr:nth-child(odd) {\n  background: #FFF;\n}\n#T_926f3 tr {\n  font-size: 12px;\n}\n#T_926f3 th:nth-child(1) {\n  background-color: #FFF;\n  text-align: right;\n}\n#T_926f3 td {\n  padding: 6px;\n}\n</style>\n<table id=\"T_926f3\">\n  <thead>\n    <tr>\n      <th class=\"blank level0\" >&nbsp;</th>\n      <th id=\"T_926f3_level0_col0\" class=\"col_heading level0 col0\" >p/100 m</th>\n      <th id=\"T_926f3_level0_col1\" class=\"col_heading level0 col1\" >Objekte (St.)</th>\n      <th id=\"T_926f3_level0_col2\" class=\"col_heading level0 col2\" >Anteil</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th id=\"T_926f3_level0_row0\" class=\"row_heading level0 row0\" >Schaumstoffverpackungen/Isolierung</th>\n      <td id=\"T_926f3_row0_col0\" class=\"data row0 col0\" >0,0</td>\n      <td id=\"T_926f3_row0_col1\" class=\"data row0 col1\" >121</td>\n      <td id=\"T_926f3_row0_col2\" class=\"data row0 col2\" >0%</td>\n    </tr>\n    <tr>\n      <th id=\"T_926f3_level0_row1\" class=\"row_heading level0 row1\" >Objekte aus Kunststoff/Polystyrol 0,5 - 2,5 cm</th>\n      <td id=\"T_926f3_row1_col0\" class=\"data row1 col0\" >0,0</td>\n      <td id=\"T_926f3_row1_col1\" class=\"data row1 col1\" >443</td>\n      <td id=\"T_926f3_row1_col2\" class=\"data row1 col2\" >2%</td>\n    </tr>\n    <tr>\n      <th id=\"T_926f3_level0_row2\" class=\"row_heading level0 row2\" >Objekte aus Kunststoff/Polystyrol 2,5 - 50 cm</th>\n      <td id=\"T_926f3_row2_col0\" class=\"data row2 col0\" >0,0</td>\n      <td id=\"T_926f3_row2_col1\" class=\"data row2 col1\" >82</td>\n      <td id=\"T_926f3_row2_col2\" class=\"data row2 col2\" >0%</td>\n    </tr>\n    <tr>\n      <th id=\"T_926f3_level0_row3\" class=\"row_heading level0 row3\" >Objekte aus Kunststoff 0,5 - 2,5 cm</th>\n      <td id=\"T_926f3_row3_col0\" class=\"data row3 col0\" >22,0</td>\n      <td id=\"T_926f3_row3_col1\" class=\"data row3 col1\" >2 033</td>\n      <td id=\"T_926f3_row3_col2\" class=\"data row3 col2\" >7%</td>\n    </tr>\n    <tr>\n      <th id=\"T_926f3_level0_row4\" class=\"row_heading level0 row4\" >Objekte aus Kunststoff 2,5 - 50 cm</th>\n      <td id=\"T_926f3_row4_col0\" class=\"data row4 col0\" >16,0</td>\n      <td id=\"T_926f3_row4_col1\" class=\"data row4 col1\" >1 654</td>\n      <td id=\"T_926f3_row4_col2\" class=\"data row4 col2\" >6%</td>\n    </tr>\n    <tr>\n      <th id=\"T_926f3_level0_row5\" class=\"row_heading level0 row5\" >Objekte aus Kunststoff > 50 cm</th>\n      <td id=\"T_926f3_row5_col0\" class=\"data row5 col0\" >0,0</td>\n      <td id=\"T_926f3_row5_col1\" class=\"data row5 col1\" >0</td>\n      <td id=\"T_926f3_row5_col2\" class=\"data row5 col2\" >0%</td>\n    </tr>\n    <tr>\n      <th id=\"T_926f3_level0_row6\" class=\"row_heading level0 row6\" >Objekte aus expandiertem Polystyrol 0,5 - 2,5 cm</th>\n      <td id=\"T_926f3_row6_col0\" class=\"data row6 col0\" >7,0</td>\n      <td id=\"T_926f3_row6_col1\" class=\"data row6 col1\" >2 475</td>\n      <td id=\"T_926f3_row6_col2\" class=\"data row6 col2\" >9%</td>\n    </tr>\n    <tr>\n      <th id=\"T_926f3_level0_row7\" class=\"row_heading level0 row7\" >Objekte aus expandiertem Polystyrol 2,5 - 50 cm</th>\n      <td id=\"T_926f3_row7_col0\" class=\"data row7 col0\" >5,0</td>\n      <td id=\"T_926f3_row7_col1\" class=\"data row7 col1\" >1 106</td>\n      <td id=\"T_926f3_row7_col2\" class=\"data row7 col2\" >4%</td>\n    </tr>\n    <tr>\n      <th id=\"T_926f3_level0_row8\" class=\"row_heading level0 row8\" >Objekte aus expandiertem Polystyrol > 50 cm</th>\n      <td id=\"T_926f3_row8_col0\" class=\"data row8 col0\" >0,0</td>\n      <td id=\"T_926f3_row8_col1\" class=\"data row8 col1\" >5</td>\n      <td id=\"T_926f3_row8_col2\" class=\"data row8 col2\" >0%</td>\n    </tr>\n  </tbody>\n</table>\n",
      "application/papermill.record/text/plain": "<pandas.io.formats.style.Styler at 0x7f1f8d25edf0>"
     },
     "metadata": {
      "scrapbook": {
       "mime_prefix": "application/papermill.record/",
       "name": "lac-leman_frags_table"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "annex_title = Paragraph(\"Anhang\", featuredata.section_title)\n",
    "frag_sub_title = Paragraph(\"Schaumstoffe und Kunststoffe nach Grösse\", featuredata.subsection_title)\n",
    "\n",
    "frag_paras = [\n",
    "    \"Die folgende Tabelle enthält die Komponenten «Gfoam» und «Gfrag», die für die Analyse gruppiert wurden. \",\n",
    "    \"Objekte, die als Schaumstoffe gekennzeichnet sind, werden als Gfoam gruppiert und umfassen alle geschäumten \",\n",
    "    \"Polystyrol-Kunststoffe > 0,5 cm. Kunststoffteile und Objekte aus kombinierten Kunststoff - und Schaumstoffmaterialien > 0,5 \",\n",
    "    \"cm werden für die Analyse als Gfrags gruppiert.\"\n",
    "]\n",
    "\n",
    "frag_p = \"\".join(frag_paras)\n",
    "frag = Paragraph(frag_p, featuredata.p_style)\n",
    "\n",
    "frag_caption = [\n",
    "    f'Fragmentierte und geschäumte Kunststoffe nach Grösse am {this_feature[\"name\"]}',\n",
    "    f'Median {unit_label}, Anzahl der gefundenen Objekte und Prozent der Gesamtmenge.'\n",
    "]\n",
    "frag_captions = ''.join(frag_caption)\n",
    "\n",
    "# collect the data before aggregating foams for all locations in the survye area\n",
    "# group by loc_date and code\n",
    "# Combine the different sizes of fragmented plastics and styrofoam\n",
    "# the codes for the foams\n",
    "before_agg = pd.read_csv(\"resources/checked_before_agg_sdata_eos_2020_21.csv\")\n",
    "some_foams = [\"G81\", \"G82\", \"G83\", \"G74\"]\n",
    "before_agg.rename(columns={\"p/100m\":unit_label}, inplace=True)\n",
    "\n",
    "# the codes for the fragmented plastics\n",
    "some_frag_plas = list(before_agg[before_agg.groupname == \"plastic pieces\"].code.unique())\n",
    "mask = ((before_agg.code.isin([*some_frag_plas, *some_foams]))&(before_agg.location.isin(admin_summary[\"locations_of_interest\"])))\n",
    "agg_pcs_median = {unit_label:\"median\", \"quantity\":\"sum\"}\n",
    "\n",
    "fd_frags_foams = before_agg[mask].groupby([\"loc_date\",\"code\"], as_index=False).agg(agg_pcs_quantity)\n",
    "fd_frags_foams = fd_frags_foams.groupby(\"code\").agg(agg_pcs_median)\n",
    "fd_frags_foams[\"item\"] = fd_frags_foams.index.map(lambda x: fdx.dMap.loc[x])\n",
    "fd_frags_foams[\"% of total\"] = (fd_frags_foams.quantity/fd.quantity.sum()).round(2)\n",
    "\n",
    "# table data\n",
    "data = fd_frags_foams[[\"item\",unit_label, \"quantity\", \"% of total\"]]\n",
    "data.rename(columns={\"item\":\"Objekt\", \"quantity\":\"Objekte (St.)\", \"% of total\":\"Anteil\"}, inplace=True)\n",
    "data.set_index(\"Objekt\", inplace=True, drop=True)\n",
    "data.index.name = None\n",
    "aformatter = {\n",
    "    f\"{unit_label}\": lambda x: featuredata.replaceDecimal(x, \"de\"),\n",
    "    \"Objekte (St.)\": lambda x: featuredata.thousandsSeparator(int(x), \"de\"),\n",
    "    \"Anteil\":'{:.0%}',\n",
    "   \n",
    "}\n",
    "\n",
    "frags_table = data.style.format(aformatter).set_table_styles(table_css_styles)\n",
    "\n",
    "glue(\"lac-leman_frag_table_caption\", frag_captions, display=False)\n",
    "glue(\"lac-leman_frags_table\", frags_table, display=False)\n",
    "\n",
    "# pdf components\n",
    "col_widths = [7*cm, *[2*cm]*len(data.columns)]\n",
    "d_chart = featuredata.aSingleStyledTable(data, colWidths=col_widths)\n",
    "d_capt = Paragraph(frag_captions, featuredata.caption_style)\n",
    "a_dims_table = featuredata.tableAndCaption(d_chart, d_capt, col_widths)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "new_components = [\n",
    "    KeepTogether([\n",
    "        annex_title,\n",
    "        featuredata.small_space,\n",
    "        frag_sub_title,\n",
    "        featuredata.smaller_space,\n",
    "        frag,\n",
    "        featuredata.small_space\n",
    "    ]),\n",
    "    a_dims_table,\n",
    "    \n",
    "    ]\n",
    "\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "```{glue:figure} lac-leman_frags_table\n",
    "---\n",
    "name: 'lac-leman_frags_table'\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```\n",
    "{numref}`Abbildung %s: <lac-leman_frags_table>` {glue:text}`lac-leman_frag_table_caption`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "### Die Erhebungsorte"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "source": [
    "```{figure} resources/maps/lac-leman_location_labels.jpeg\n",
    "---\n",
    "name: lac-leman_location_map\n",
    "---\n",
    "{glue:text}`blank_caption`\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>stat</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>standort</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>maladaire</th>\n",
       "      <td>46.446296</td>\n",
       "      <td>6.876960</td>\n",
       "      <td>La Tour-de-Peilz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>preverenges</th>\n",
       "      <td>46.512690</td>\n",
       "      <td>6.527657</td>\n",
       "      <td>Préverenges</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vidy-ruines</th>\n",
       "      <td>46.516221</td>\n",
       "      <td>6.596279</td>\n",
       "      <td>Lausanne</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baby-plage-geneva</th>\n",
       "      <td>46.208558</td>\n",
       "      <td>6.162923</td>\n",
       "      <td>Genève</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grand-clos</th>\n",
       "      <td>46.387746</td>\n",
       "      <td>6.843686</td>\n",
       "      <td>Saint-Gingolph</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quai-maria-belgia</th>\n",
       "      <td>46.460156</td>\n",
       "      <td>6.836718</td>\n",
       "      <td>Vevey</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>anarchy-beach</th>\n",
       "      <td>46.447216</td>\n",
       "      <td>6.859612</td>\n",
       "      <td>La Tour-de-Peilz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cully-plage</th>\n",
       "      <td>46.488887</td>\n",
       "      <td>6.741396</td>\n",
       "      <td>Bourg-en-Lavaux</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>preverenges-le-sout</th>\n",
       "      <td>46.508905</td>\n",
       "      <td>6.534526</td>\n",
       "      <td>Préverenges</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>la-pecherie</th>\n",
       "      <td>46.463919</td>\n",
       "      <td>6.385732</td>\n",
       "      <td>Allaman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>villa-barton</th>\n",
       "      <td>46.222350</td>\n",
       "      <td>6.152500</td>\n",
       "      <td>Genève</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oyonne</th>\n",
       "      <td>46.456682</td>\n",
       "      <td>6.852262</td>\n",
       "      <td>La Tour-de-Peilz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baby-plage-ii-geneve</th>\n",
       "      <td>46.208940</td>\n",
       "      <td>6.164330</td>\n",
       "      <td>Genève</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tiger-duck-beach</th>\n",
       "      <td>46.518256</td>\n",
       "      <td>6.582546</td>\n",
       "      <td>Saint-Sulpice (VD)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>le-pierrier</th>\n",
       "      <td>46.439727</td>\n",
       "      <td>6.888968</td>\n",
       "      <td>Montreux</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>boiron</th>\n",
       "      <td>46.491030</td>\n",
       "      <td>6.480162</td>\n",
       "      <td>Tolochenaz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rocky-plage</th>\n",
       "      <td>46.209737</td>\n",
       "      <td>6.164952</td>\n",
       "      <td>Genève</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lacleman_gland_lecoanets</th>\n",
       "      <td>46.402811</td>\n",
       "      <td>6.281959</td>\n",
       "      <td>Gland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baye-de-montreux-g</th>\n",
       "      <td>46.430834</td>\n",
       "      <td>6.908778</td>\n",
       "      <td>Montreux</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versoix</th>\n",
       "      <td>46.289194</td>\n",
       "      <td>6.170569</td>\n",
       "      <td>Versoix</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parc-des-pierrettes</th>\n",
       "      <td>46.515215</td>\n",
       "      <td>6.575531</td>\n",
       "      <td>Saint-Sulpice (VD)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plage-de-st-sulpice</th>\n",
       "      <td>46.513265</td>\n",
       "      <td>6.570977</td>\n",
       "      <td>Saint-Sulpice (VD)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bain-des-dames</th>\n",
       "      <td>46.450507</td>\n",
       "      <td>6.858092</td>\n",
       "      <td>La Tour-de-Peilz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tolochenaz</th>\n",
       "      <td>46.497509</td>\n",
       "      <td>6.482875</td>\n",
       "      <td>Tolochenaz</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           latitude  longitude                stat\n",
       "standort                                                          \n",
       "maladaire                 46.446296   6.876960    La Tour-de-Peilz\n",
       "preverenges               46.512690   6.527657         Préverenges\n",
       "vidy-ruines               46.516221   6.596279            Lausanne\n",
       "baby-plage-geneva         46.208558   6.162923              Genève\n",
       "grand-clos                46.387746   6.843686      Saint-Gingolph\n",
       "quai-maria-belgia         46.460156   6.836718               Vevey\n",
       "anarchy-beach             46.447216   6.859612    La Tour-de-Peilz\n",
       "cully-plage               46.488887   6.741396     Bourg-en-Lavaux\n",
       "preverenges-le-sout       46.508905   6.534526         Préverenges\n",
       "la-pecherie               46.463919   6.385732             Allaman\n",
       "villa-barton              46.222350   6.152500              Genève\n",
       "oyonne                    46.456682   6.852262    La Tour-de-Peilz\n",
       "baby-plage-ii-geneve      46.208940   6.164330              Genève\n",
       "tiger-duck-beach          46.518256   6.582546  Saint-Sulpice (VD)\n",
       "le-pierrier               46.439727   6.888968            Montreux\n",
       "boiron                    46.491030   6.480162          Tolochenaz\n",
       "rocky-plage               46.209737   6.164952              Genève\n",
       "lacleman_gland_lecoanets  46.402811   6.281959               Gland\n",
       "baye-de-montreux-g        46.430834   6.908778            Montreux\n",
       "versoix                   46.289194   6.170569             Versoix\n",
       "parc-des-pierrettes       46.515215   6.575531  Saint-Sulpice (VD)\n",
       "plage-de-st-sulpice       46.513265   6.570977  Saint-Sulpice (VD)\n",
       "bain-des-dames            46.450507   6.858092    La Tour-de-Peilz\n",
       "tolochenaz                46.497509   6.482875          Tolochenaz"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# display the survey locations\n",
    "disp_columns = [\"latitude\", \"longitude\", \"city\"]\n",
    "disp_beaches = admin_details.df_beaches.loc[admin_summary[\"locations_of_interest\"]][disp_columns]\n",
    "disp_beaches.reset_index(inplace=True)\n",
    "disp_beaches.rename(columns={\"city\":\"stat\", \"slug\":\"standort\"}, inplace=True)\n",
    "disp_beaches.set_index(\"standort\", inplace=True, drop=True)\n",
    "\n",
    "def aStyledTableWithTitleRow(data, header_style: Paragraph = featuredata.styled_table_header, title: str = None,\n",
    "                 data_style: Paragraph = featuredata.table_style_centered, colWidths: list = None, style: list = None):\n",
    "    table_data = data.reset_index()\n",
    "   \n",
    "    headers = [Paragraph(str(x), header_style)  for x in data.columns]\n",
    "    headers = [Paragraph(\" \", data_style) , *headers]\n",
    "    \n",
    "    if style is None:\n",
    "        style = featuredata.default_table_style\n",
    "\n",
    "    new_rows = []\n",
    "    for a_row in table_data.values.tolist():\n",
    "        \n",
    "        if isinstance(a_row[0], str):\n",
    "            row_index = Paragraph(a_row[0], featuredata.table_style_right)\n",
    "            row_data = [Paragraph(str(x), data_style) for x in a_row[1:]]\n",
    "            new_row = [row_index, *row_data]\n",
    "            new_rows.append(new_row)\n",
    "        else:\n",
    "            row_data = [Paragraph(str(x), data_style) for x in a_row[1:]]\n",
    "            new_rows.append(row_data)\n",
    "            \n",
    "    table_title_style = [\n",
    "            ('FONTNAME', (0,0), (-1,-1), 'Helvetica'),\n",
    "            ('FONTSIZE', (0, 0), (-1, -1), 12),\n",
    "            ('ROWBACKGROUND', (0,0), (-1,-1), [colors.white]),\n",
    "            ('TOPPADDING', (0, 0), (-1, -1), 3),\n",
    "            ('BOTTOMPADDING', (0, 0), (-1, -1), 3)\n",
    "    \n",
    "        ]\n",
    "        \n",
    "    table_title = Table([[title]], style=table_title_style, colWidths=sum(colWidths))\n",
    "    new_table = [[table_title], headers, *new_rows]\n",
    "    table = Table(new_table, style=style, colWidths=colWidths, repeatRows=2)\n",
    "    \n",
    "    return table\n",
    "\n",
    "# make this into a pdf table\n",
    "location_subsection = Paragraph(\"Die Erhebungsorte und Inventar der Objekte\", featuredata.subsection_title)\n",
    "col_widths = [6*cm, 2.2*cm, 2.2*cm, 3*cm]\n",
    "\n",
    "pdf_table = aStyledTableWithTitleRow(disp_beaches, title=\"Die Erhebungsorte\", colWidths=col_widths)\n",
    "\n",
    "disp_beaches"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    },
    "tags": []
   },
   "source": [
    "### Inventar der Objekte"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Objekte</th>\n",
       "      <th>Objekte (St.)</th>\n",
       "      <th>Anteil</th>\n",
       "      <th>p/100 m</th>\n",
       "      <th>Häufigkeitsrate</th>\n",
       "      <th>Material</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>code</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>G91</th>\n",
       "      <td>Bio-Filtermaterial  / Trägermaterial aus Kunst...</td>\n",
       "      <td>95</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G922</th>\n",
       "      <td>Etiketten, Strichcodes</td>\n",
       "      <td>95</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G159</th>\n",
       "      <td>Kork</td>\n",
       "      <td>90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G8</th>\n",
       "      <td>Getränkeflaschen &gt; 0,5L</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G938</th>\n",
       "      <td>Zahnstocher, Zahnseide Kunststoff</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G208</th>\n",
       "      <td>Glas oder Keramikfragmente &gt;2.5 cm</td>\n",
       "      <td>87</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G904</th>\n",
       "      <td>Feuerwerkskörper; Raketenkappen</td>\n",
       "      <td>85</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G941</th>\n",
       "      <td>Verpackungsfolien, nicht für Lebensmittel</td>\n",
       "      <td>85</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G119</th>\n",
       "      <td>Folienartiger Kunststoff (&gt;1mm)</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G128</th>\n",
       "      <td>Reifen und Antriebsriemen</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G926</th>\n",
       "      <td>Kaugummi, enthält oft Kunststoffe</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G118</th>\n",
       "      <td>Kleine Industrielle Kügelchen &lt;5mm</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G133</th>\n",
       "      <td>Kondome einschließlich Verpackungen</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G90</th>\n",
       "      <td>Blumentöpfe aus Plastik</td>\n",
       "      <td>79</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G125</th>\n",
       "      <td>Luftballons und Luftballonstäbchen</td>\n",
       "      <td>78</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G916</th>\n",
       "      <td>Bleistifte und Bruchstücke</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G68</th>\n",
       "      <td>Fiberglas-Fragmente</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G900</th>\n",
       "      <td>Handschuhe Latex, persönliche Schutzausrüstung</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G61</th>\n",
       "      <td>Sonstiges Angelzubehör</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G929</th>\n",
       "      <td>Elektronik und Teile; Sensoren, Headsets usw.</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G117</th>\n",
       "      <td>Styropor &lt; 5mm</td>\n",
       "      <td>689</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G165</th>\n",
       "      <td>Glacestengel (Eisstiele), Zahnstocher, Essstäb...</td>\n",
       "      <td>68</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G124</th>\n",
       "      <td>Andere Kunststoff</td>\n",
       "      <td>68</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G96</th>\n",
       "      <td>Hygienebinden/Höscheneinlagen/Tampons und Appl...</td>\n",
       "      <td>67</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G914</th>\n",
       "      <td>Büroklammern, Wäscheklammern, Gebrauchsgegenst...</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G153</th>\n",
       "      <td>Papierbecher, Lebensmittelverpackungen aus Pap...</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G50</th>\n",
       "      <td>Schnur &lt; 1cm</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G176</th>\n",
       "      <td>Konservendosen (Lebensmitteldosen)</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G933</th>\n",
       "      <td>Taschen, Etuis für Zubehör, Brillen, Elektroni...</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G105</th>\n",
       "      <td>Kunststofffragmente subangulär &lt;5mm</td>\n",
       "      <td>59</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G89</th>\n",
       "      <td>Kunststoff-Bauabfälle</td>\n",
       "      <td>584</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>66</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G908</th>\n",
       "      <td>Klebeband; elektrisch, isolierend</td>\n",
       "      <td>58</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G34</th>\n",
       "      <td>Besteck, Teller und Tabletts</td>\n",
       "      <td>58</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>26</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G28</th>\n",
       "      <td>Stifte, Deckel, Druckbleistifte usw.</td>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G200</th>\n",
       "      <td>Getränkeflaschen aus Glas, Glasfragmente</td>\n",
       "      <td>510</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>58</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G923</th>\n",
       "      <td>Taschentücher, Toilettenpapier, Servietten, Pa...</td>\n",
       "      <td>51</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G17</th>\n",
       "      <td>Kartuschen von Kartuschen-spritzpistolen</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G147</th>\n",
       "      <td>Papiertragetaschen, (Papiertüten)</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G195</th>\n",
       "      <td>Batterien (Haushalt)</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G167</th>\n",
       "      <td>Streichhölzer oder Feuerwerke</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G917</th>\n",
       "      <td>Blähton</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G919</th>\n",
       "      <td>Nägel, Schrauben, Bolzen usw.</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G101</th>\n",
       "      <td>Robidog Hundekot-Säcklein, andere Hundekotsäck...</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G97</th>\n",
       "      <td>Behälter von Toilettenerfrischer</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G93</th>\n",
       "      <td>Kabelbinder</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G26</th>\n",
       "      <td>Feuerzeug</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G905</th>\n",
       "      <td>Haarspangen, Haargummis, persönliche Accessoir...</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G155</th>\n",
       "      <td>Feuerwerkspapierhülsen und -fragmente</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G198</th>\n",
       "      <td>Andere Metallteile &lt; 50 cm</td>\n",
       "      <td>43</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G131</th>\n",
       "      <td>Gummibänder</td>\n",
       "      <td>43</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G115</th>\n",
       "      <td>Schaumstoff &lt;5mm</td>\n",
       "      <td>43</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G106</th>\n",
       "      <td>Kunststofffragmente eckig &lt;5mm</td>\n",
       "      <td>427</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G21</th>\n",
       "      <td>Getränke-Deckel, Getränkeverschluss</td>\n",
       "      <td>425</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>56</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G146</th>\n",
       "      <td>Papier, Karton</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gfrags</th>\n",
       "      <td>Fragmentierte Kunststoffe</td>\n",
       "      <td>4 212</td>\n",
       "      <td>15</td>\n",
       "      <td>61</td>\n",
       "      <td>96</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G136</th>\n",
       "      <td>Schuhe</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G931</th>\n",
       "      <td>(Absperr)band für Absperrungen, Polizei, Baust...</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G29</th>\n",
       "      <td>Kämme, Bürsten und Sonnenbrillen</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G181</th>\n",
       "      <td>Geschirr aus Metall, Tassen, Besteck usw.</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G149</th>\n",
       "      <td>Papierverpackungen</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G152</th>\n",
       "      <td>Papier &amp;Karton;Zigarettenschachteln, Papier/Ka...</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G937</th>\n",
       "      <td>Pheromonköder für Weinberge</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G157</th>\n",
       "      <td>Papier</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G24</th>\n",
       "      <td>Ringe von Plastikflaschen/Behältern</td>\n",
       "      <td>349</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>73</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G70</th>\n",
       "      <td>Schrotflintenpatronen</td>\n",
       "      <td>345</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>52</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G939</th>\n",
       "      <td>Kunststoffblumen, Kunststoffpflanzen</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G4</th>\n",
       "      <td>Kleine Plastikbeutel; Gefrierbeutel, Zippsäckc...</td>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G204</th>\n",
       "      <td>Baumaterial;  Ziegel, Rohre, Zement</td>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G7</th>\n",
       "      <td>Getränkeflaschen &lt; = 0,5 l</td>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G20</th>\n",
       "      <td>Laschen und Deckel</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G178</th>\n",
       "      <td>Kronkorken, Lasche von Dose/Ausfreisslachen</td>\n",
       "      <td>308</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>71</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G207</th>\n",
       "      <td>Tonkrüge zum Fangen von Kraken</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gfoam</th>\n",
       "      <td>Expandiertes Polystyrol</td>\n",
       "      <td>3 586</td>\n",
       "      <td>13</td>\n",
       "      <td>26</td>\n",
       "      <td>83</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G27</th>\n",
       "      <td>Zigarettenfilter</td>\n",
       "      <td>3 116</td>\n",
       "      <td>11</td>\n",
       "      <td>47</td>\n",
       "      <td>94</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G197</th>\n",
       "      <td>sonstiges Metall</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G104</th>\n",
       "      <td>Kunststofffragmente abgerundet / rundlich  &lt;5m...</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G37</th>\n",
       "      <td>Netzbeutel, Netztasche, Netzsäcke</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G62</th>\n",
       "      <td>Schwimmer für Netze</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G63</th>\n",
       "      <td>Bojen</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G116</th>\n",
       "      <td>Granulat &lt;5mm</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G915</th>\n",
       "      <td>Reflektoren, Mobilitätsartikel aus Kunststoff</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G19</th>\n",
       "      <td>Autoteile</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G913</th>\n",
       "      <td>Schnuller</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G161</th>\n",
       "      <td>Verarbeitetes Holz</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G108</th>\n",
       "      <td>Scheibenförmige Pellets &lt;5mm</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G92</th>\n",
       "      <td>Köderbehälter</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G906</th>\n",
       "      <td>Kaffeekapseln Aluminium</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G25</th>\n",
       "      <td>Tabak; Kunststoffverpackungen, Behälter</td>\n",
       "      <td>295</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>55</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G10</th>\n",
       "      <td>Lebensmittelbehälter zum einmaligen Gebrauch a...</td>\n",
       "      <td>288</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>51</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G137</th>\n",
       "      <td>Kleidung, Handtücher und Lappen</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G213</th>\n",
       "      <td>Paraffinwachs</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>Chemikalien</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G35</th>\n",
       "      <td>Strohhalme und Rührstäbchen</td>\n",
       "      <td>278</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>73</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G142</th>\n",
       "      <td>Seil, Schnur oder Netze</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G23</th>\n",
       "      <td>unidentifizierte Deckel</td>\n",
       "      <td>262</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>58</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G65</th>\n",
       "      <td>Eimer</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G12</th>\n",
       "      <td>Kosmetika, Behälter für Körperpflegeprodukte, ...</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G31</th>\n",
       "      <td>Schleckstengel, Stengel von Lutscher</td>\n",
       "      <td>237</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>66</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G148</th>\n",
       "      <td>Kartonkisten und Stücke</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G191</th>\n",
       "      <td>Draht und Gitter</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G103</th>\n",
       "      <td>Kunststofffragmente rund &lt;5mm</td>\n",
       "      <td>229</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G99</th>\n",
       "      <td>Spritzen - Nadeln</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G135</th>\n",
       "      <td>Kleidung, Fussbekleidung, Kopfbedeckung, Hands...</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G139</th>\n",
       "      <td>Rucksäcke</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G140</th>\n",
       "      <td>Sack oder Beutel (Tragetasche), Jute oder Hanf</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G107</th>\n",
       "      <td>Zylindrische Pellets &lt;5mm</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G151</th>\n",
       "      <td>Tetrapack, Kartons</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G36</th>\n",
       "      <td>Säcke aus strapazierfähigem Kunststoff für 25 ...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G907</th>\n",
       "      <td>Kaffeekapseln aus Kunststoff</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G150</th>\n",
       "      <td>Milchkartons, Tetrapack</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G932</th>\n",
       "      <td>Bio-Beads, Mikroplastik für die Abwasserbehand...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G5</th>\n",
       "      <td>Plastiksäcke/ Plastiktüten</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G199</th>\n",
       "      <td>Andere Metallteile &gt; 50 cm</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G13</th>\n",
       "      <td>Flaschen, Behälter, Fässer zum Transportieren ...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G55</th>\n",
       "      <td>Angelschnur (verwickelt)</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G925</th>\n",
       "      <td>Pakete: Trockenmittel/Feuchtigkeitsabsorber, m...</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G109</th>\n",
       "      <td>Flache Pellets &lt;5mm</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G49</th>\n",
       "      <td>Seile &gt; 1cm</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G33</th>\n",
       "      <td>Einwegartikel; Tassen/Becher &amp; Deckel</td>\n",
       "      <td>196</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>57</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G32</th>\n",
       "      <td>Spielzeug und Partyartikel</td>\n",
       "      <td>192</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>63</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G6</th>\n",
       "      <td>Flaschen und Behälter aus Kunststoff, nicht fü...</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G943</th>\n",
       "      <td>Zäune Landwirtschaft, Kunststoff</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G48</th>\n",
       "      <td>Seile, synthetische</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G114</th>\n",
       "      <td>Folien &lt;5mm</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G177</th>\n",
       "      <td>Verpackungen aus Aluminiumfolie</td>\n",
       "      <td>177</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>56</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G22</th>\n",
       "      <td>Deckel für Chemikalien, Reinigungsmittel (Ohne...</td>\n",
       "      <td>176</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G100</th>\n",
       "      <td>Medizin; Behälter/Röhrchen/Verpackungen</td>\n",
       "      <td>176</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>61</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G921</th>\n",
       "      <td>Keramikfliesen und Bruchstücke</td>\n",
       "      <td>175</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G123</th>\n",
       "      <td>Polyurethan-Granulat &lt; 5mm</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G126</th>\n",
       "      <td>Bälle</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G134</th>\n",
       "      <td>Sonstiges Gummi</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G73</th>\n",
       "      <td>Gegenstände aus Schaumstoff &amp; Teilstücke (nich...</td>\n",
       "      <td>162</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>39</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G2</th>\n",
       "      <td>Säcke, Taschen</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G936</th>\n",
       "      <td>Folien für Gewächshäuser</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G194</th>\n",
       "      <td>Kabel, Metalldraht oft in Gummi- oder Kunststo...</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G87</th>\n",
       "      <td>Abdeckklebeband/Verpackungsklebeband</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G3</th>\n",
       "      <td>Einkaufstaschen, Shoppingtaschen</td>\n",
       "      <td>156</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G38</th>\n",
       "      <td>Abdeckungen; Kunststoffverpackungen, Folien zu...</td>\n",
       "      <td>151</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G43</th>\n",
       "      <td>Sicherheitsetiketten, Siegel für Fischerei ode...</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G918</th>\n",
       "      <td>Sicherheitsnadeln, Büroklammern, kleine Gebrau...</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G175</th>\n",
       "      <td>Getränkedosen (Dosen, Getränke)</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G927</th>\n",
       "      <td>Plastikschnur von Rasentrimmern, die zum Schne...</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G113</th>\n",
       "      <td>Fäden &lt;5mm</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G182</th>\n",
       "      <td>Angeln; Haken, Gewichte, Köder, Senkblei, usw.</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G66</th>\n",
       "      <td>Umreifungsbänder; Hartplastik für Verpackung f...</td>\n",
       "      <td>130</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G201</th>\n",
       "      <td>Gläser, einschliesslich Stücke</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G144</th>\n",
       "      <td>Tampons</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G145</th>\n",
       "      <td>Andere Textilien</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G203</th>\n",
       "      <td>Geschirr aus Keramik oder Glas, Tassen, Teller...</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G186</th>\n",
       "      <td>Industrieschrott</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G930</th>\n",
       "      <td>Schaumstoff-Ohrstöpsel</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G98</th>\n",
       "      <td>Windeln – Feuchttücher</td>\n",
       "      <td>113</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G59</th>\n",
       "      <td>Monofile Angelschnur (Angeln)</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G928</th>\n",
       "      <td>Bänder und Schleifen</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G170</th>\n",
       "      <td>Holz (verarbeitet)</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G211</th>\n",
       "      <td>Sonstiges medizinisches Material</td>\n",
       "      <td>102</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>43</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G156</th>\n",
       "      <td>Papierfragmente</td>\n",
       "      <td>101</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G158</th>\n",
       "      <td>Sonstige Gegenstände aus Papier</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G942</th>\n",
       "      <td>Kunststoffspäne von Drehbänken, CNC-Bearbeitung</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G210</th>\n",
       "      <td>Sonstiges Glas/Keramik Materialien</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G901</th>\n",
       "      <td>Medizinische Masken, synthetische</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G11</th>\n",
       "      <td>Kosmetika für den Strand, z.B. Sonnencreme</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G940</th>\n",
       "      <td>Schaumstoff EVA (flexibler Kunststoff)</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G30</th>\n",
       "      <td>Snack-Verpackungen</td>\n",
       "      <td>1 679</td>\n",
       "      <td>6</td>\n",
       "      <td>21</td>\n",
       "      <td>95</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G112</th>\n",
       "      <td>Industriepellets (Nurdles)</td>\n",
       "      <td>1 387</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G95</th>\n",
       "      <td>Wattestäbchen/Tupfer</td>\n",
       "      <td>1 112</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>81</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G74</th>\n",
       "      <td>Schaumstoffverpackungen/Isolierung</td>\n",
       "      <td>1 112</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>77</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G67</th>\n",
       "      <td>Industriefolie (Kunststoff)</td>\n",
       "      <td>1 058</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>77</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G172</th>\n",
       "      <td>Sonstiges Holz &gt; 50 cm</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G166</th>\n",
       "      <td>Farbpinsel</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G171</th>\n",
       "      <td>Sonstiges Holz &lt; 50cm</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G129</th>\n",
       "      <td>Schläuche und Gummiplatten</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G14</th>\n",
       "      <td>Flaschen für Motoröl (Motorölflaschen)</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G193</th>\n",
       "      <td>Teile von Autos und Autobatterien</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G173</th>\n",
       "      <td>Sonstiges</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G39</th>\n",
       "      <td>Handschuhe</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G202</th>\n",
       "      <td>Glühbirnen</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G40</th>\n",
       "      <td>Handschuhe Haushalt/Garten</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G138</th>\n",
       "      <td>Schuhe und Sandalen</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G51</th>\n",
       "      <td>Fischernetz</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G154</th>\n",
       "      <td>Zeitungen oder Zeitschriften</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Papier</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G64</th>\n",
       "      <td>Kotflügel</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G102</th>\n",
       "      <td>Flip-Flops</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G183</th>\n",
       "      <td>Teile von Angelhaken</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G935</th>\n",
       "      <td>Gummi-Puffer für Geh- und Wanderstöcke und Tei...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G179</th>\n",
       "      <td>Einweg Grill</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G945</th>\n",
       "      <td>Rasierklingen</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G944</th>\n",
       "      <td>Pelletmasse aus dem Spritzgussverfahren</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G999</th>\n",
       "      <td>Keine Gegenstände bei dieser Erhebung/Studie g...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Unbekannt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G94</th>\n",
       "      <td>Tischtuch</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G934</th>\n",
       "      <td>Sandsäcke, Kunststoff für Hochwasser- und Eros...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G111</th>\n",
       "      <td>Kugelförmige Pellets &lt; 5mm</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G56</th>\n",
       "      <td>Verhedderte Netze</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G122</th>\n",
       "      <td>Kunststofffragmente (&gt;1mm)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G196</th>\n",
       "      <td>Grosse metallische Gegenstände</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G53</th>\n",
       "      <td>Netze und Teilstücke &lt; 50cm</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G52</th>\n",
       "      <td>Netze und Teilstücke</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G41</th>\n",
       "      <td>Handschuhe Industriell/Professionell</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G214</th>\n",
       "      <td>Öl/Teer</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Chemikalien</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G141</th>\n",
       "      <td>Teppiche</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G205</th>\n",
       "      <td>Leuchtstoffröhren</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Glas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G143</th>\n",
       "      <td>Segel und Segeltuch</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G190</th>\n",
       "      <td>Farbtöpfe, Farbbüchsen,  ( Farbeimer)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G903</th>\n",
       "      <td>Behälter und Packungen für Handdesinfektionsmi...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G188</th>\n",
       "      <td>Andere Kanister/Behälter &lt; 4 L</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G185</th>\n",
       "      <td>Behälter mittlerer Grösse</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G180</th>\n",
       "      <td>Haushaltsgeräte</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G174</th>\n",
       "      <td>Aerosolspraydosen</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G168</th>\n",
       "      <td>Holzbretter</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G162</th>\n",
       "      <td>Kisten</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G160</th>\n",
       "      <td>Paletten</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G60</th>\n",
       "      <td>Lichtstab, Knicklicht, Glow-sticks</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G702</th>\n",
       "      <td>Pistenmarkierungspfosten (Holz)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Holz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G703</th>\n",
       "      <td>Pistenmarkierungspfosten (Plastik)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G704</th>\n",
       "      <td>Seilbahnbürsten</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G902</th>\n",
       "      <td>Medizinische Masken, Stoff</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G132</th>\n",
       "      <td>Schwimmer (Angeln)</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Gummi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G9</th>\n",
       "      <td>Flaschen und Behälter für Reinigungsmittel und...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G88</th>\n",
       "      <td>Telefon inkl. Teile</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G84</th>\n",
       "      <td>CD oder CD-Hülle</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G713</th>\n",
       "      <td>Skiförderband</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G712</th>\n",
       "      <td>Skihandschuhe</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Stoff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G711</th>\n",
       "      <td>Handwärmer</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G710</th>\n",
       "      <td>Ski / Snowboards (Ski, Befestigungen und ander...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G71</th>\n",
       "      <td>Schuhe Sandalen</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G709</th>\n",
       "      <td>Teller von Skistock (runder Teil aus Plastik u...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G708</th>\n",
       "      <td>Skistöcke</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G707</th>\n",
       "      <td>Skiausrüstungsetikett</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G706</th>\n",
       "      <td>Skiabonnement</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G705</th>\n",
       "      <td>Schrauben und Bolzen</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Metall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>G1</th>\n",
       "      <td>Sixpack-Ringe</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Plastik</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  Objekte Objekte (St.)   \n",
       "code                                                                      \n",
       "G91     Bio-Filtermaterial  / Trägermaterial aus Kunst...            95  \\\n",
       "G922                               Etiketten, Strichcodes            95   \n",
       "G159                                                 Kork            90   \n",
       "G8                                Getränkeflaschen > 0,5L             9   \n",
       "G938                    Zahnstocher, Zahnseide Kunststoff             9   \n",
       "G208                   Glas oder Keramikfragmente >2.5 cm            87   \n",
       "G904                      Feuerwerkskörper; Raketenkappen            85   \n",
       "G941            Verpackungsfolien, nicht für Lebensmittel            85   \n",
       "G119                      Folienartiger Kunststoff (>1mm)             8   \n",
       "G128                            Reifen und Antriebsriemen             8   \n",
       "G926                    Kaugummi, enthält oft Kunststoffe             8   \n",
       "G118                   Kleine Industrielle Kügelchen <5mm             8   \n",
       "G133                  Kondome einschließlich Verpackungen             8   \n",
       "G90                               Blumentöpfe aus Plastik            79   \n",
       "G125                   Luftballons und Luftballonstäbchen            78   \n",
       "G916                           Bleistifte und Bruchstücke             7   \n",
       "G68                                   Fiberglas-Fragmente             7   \n",
       "G900       Handschuhe Latex, persönliche Schutzausrüstung             7   \n",
       "G61                                Sonstiges Angelzubehör             7   \n",
       "G929       Elektronik und Teile; Sensoren, Headsets usw.              7   \n",
       "G117                                       Styropor < 5mm           689   \n",
       "G165    Glacestengel (Eisstiele), Zahnstocher, Essstäb...            68   \n",
       "G124                                    Andere Kunststoff            68   \n",
       "G96     Hygienebinden/Höscheneinlagen/Tampons und Appl...            67   \n",
       "G914    Büroklammern, Wäscheklammern, Gebrauchsgegenst...            64   \n",
       "G153    Papierbecher, Lebensmittelverpackungen aus Pap...            62   \n",
       "G50                                          Schnur < 1cm            61   \n",
       "G176                   Konservendosen (Lebensmitteldosen)             6   \n",
       "G933    Taschen, Etuis für Zubehör, Brillen, Elektroni...             6   \n",
       "G105                  Kunststofffragmente subangulär <5mm            59   \n",
       "G89                                 Kunststoff-Bauabfälle           584   \n",
       "G908                    Klebeband; elektrisch, isolierend            58   \n",
       "G34                          Besteck, Teller und Tabletts            58   \n",
       "G28                  Stifte, Deckel, Druckbleistifte usw.            55   \n",
       "G200             Getränkeflaschen aus Glas, Glasfragmente           510   \n",
       "G923    Taschentücher, Toilettenpapier, Servietten, Pa...            51   \n",
       "G17              Kartuschen von Kartuschen-spritzpistolen             5   \n",
       "G147                    Papiertragetaschen, (Papiertüten)             5   \n",
       "G195                                 Batterien (Haushalt)             5   \n",
       "G167                        Streichhölzer oder Feuerwerke             5   \n",
       "G917                                              Blähton             5   \n",
       "G919                       Nägel, Schrauben, Bolzen usw.              5   \n",
       "G101    Robidog Hundekot-Säcklein, andere Hundekotsäck...             5   \n",
       "G97                     Behälter von Toilettenerfrischer              5   \n",
       "G93                                           Kabelbinder            47   \n",
       "G26                                             Feuerzeug            45   \n",
       "G905    Haarspangen, Haargummis, persönliche Accessoir...            45   \n",
       "G155                Feuerwerkspapierhülsen und -fragmente            44   \n",
       "G198                           Andere Metallteile < 50 cm            43   \n",
       "G131                                          Gummibänder            43   \n",
       "G115                                     Schaumstoff <5mm            43   \n",
       "G106                       Kunststofffragmente eckig <5mm           427   \n",
       "G21                   Getränke-Deckel, Getränkeverschluss           425   \n",
       "G146                                       Papier, Karton            40   \n",
       "Gfrags                          Fragmentierte Kunststoffe         4 212   \n",
       "G136                                               Schuhe             4   \n",
       "G931    (Absperr)band für Absperrungen, Polizei, Baust...             4   \n",
       "G29                      Kämme, Bürsten und Sonnenbrillen             4   \n",
       "G181            Geschirr aus Metall, Tassen, Besteck usw.             4   \n",
       "G149                                   Papierverpackungen            39   \n",
       "G152    Papier &Karton;Zigarettenschachteln, Papier/Ka...            39   \n",
       "G937                          Pheromonköder für Weinberge            38   \n",
       "G157                                               Papier            35   \n",
       "G24                   Ringe von Plastikflaschen/Behältern           349   \n",
       "G70                                 Schrotflintenpatronen           345   \n",
       "G939                 Kunststoffblumen, Kunststoffpflanzen            33   \n",
       "G4      Kleine Plastikbeutel; Gefrierbeutel, Zippsäckc...            32   \n",
       "G204                  Baumaterial;  Ziegel, Rohre, Zement            32   \n",
       "G7                             Getränkeflaschen < = 0,5 l            32   \n",
       "G20                                    Laschen und Deckel            31   \n",
       "G178          Kronkorken, Lasche von Dose/Ausfreisslachen           308   \n",
       "G207                       Tonkrüge zum Fangen von Kraken            30   \n",
       "Gfoam                             Expandiertes Polystyrol         3 586   \n",
       "G27                                      Zigarettenfilter         3 116   \n",
       "G197                                     sonstiges Metall             3   \n",
       "G104    Kunststofffragmente abgerundet / rundlich  <5m...             3   \n",
       "G37                     Netzbeutel, Netztasche, Netzsäcke             3   \n",
       "G62                                   Schwimmer für Netze             3   \n",
       "G63                                                 Bojen             3   \n",
       "G116                                        Granulat <5mm             3   \n",
       "G915        Reflektoren, Mobilitätsartikel aus Kunststoff             3   \n",
       "G19                                             Autoteile             3   \n",
       "G913                                            Schnuller             3   \n",
       "G161                                   Verarbeitetes Holz             3   \n",
       "G108                         Scheibenförmige Pellets <5mm             3   \n",
       "G92                                         Köderbehälter             3   \n",
       "G906                              Kaffeekapseln Aluminium             3   \n",
       "G25               Tabak; Kunststoffverpackungen, Behälter           295   \n",
       "G10     Lebensmittelbehälter zum einmaligen Gebrauch a...           288   \n",
       "G137                      Kleidung, Handtücher und Lappen            28   \n",
       "G213                                       Paraffinwachs             28   \n",
       "G35                           Strohhalme und Rührstäbchen           278   \n",
       "G142                              Seil, Schnur oder Netze            27   \n",
       "G23                               unidentifizierte Deckel           262   \n",
       "G65                                                 Eimer            26   \n",
       "G12     Kosmetika, Behälter für Körperpflegeprodukte, ...            25   \n",
       "G31                  Schleckstengel, Stengel von Lutscher           237   \n",
       "G148                              Kartonkisten und Stücke            23   \n",
       "G191                                     Draht und Gitter            23   \n",
       "G103                        Kunststofffragmente rund <5mm           229   \n",
       "G99                                     Spritzen - Nadeln            21   \n",
       "G135    Kleidung, Fussbekleidung, Kopfbedeckung, Hands...            20   \n",
       "G139                                            Rucksäcke             2   \n",
       "G140       Sack oder Beutel (Tragetasche), Jute oder Hanf             2   \n",
       "G107                            Zylindrische Pellets <5mm             2   \n",
       "G151                                   Tetrapack, Kartons             2   \n",
       "G36     Säcke aus strapazierfähigem Kunststoff für 25 ...             2   \n",
       "G907                         Kaffeekapseln aus Kunststoff             2   \n",
       "G150                              Milchkartons, Tetrapack             2   \n",
       "G932    Bio-Beads, Mikroplastik für die Abwasserbehand...             2   \n",
       "G5                             Plastiksäcke/ Plastiktüten             2   \n",
       "G199                           Andere Metallteile > 50 cm             2   \n",
       "G13     Flaschen, Behälter, Fässer zum Transportieren ...             2   \n",
       "G55                              Angelschnur (verwickelt)             2   \n",
       "G925    Pakete: Trockenmittel/Feuchtigkeitsabsorber, m...             2   \n",
       "G109                                  Flache Pellets <5mm             2   \n",
       "G49                                           Seile > 1cm             2   \n",
       "G33                 Einwegartikel; Tassen/Becher & Deckel           196   \n",
       "G32                            Spielzeug und Partyartikel           192   \n",
       "G6      Flaschen und Behälter aus Kunststoff, nicht fü...            18   \n",
       "G943                     Zäune Landwirtschaft, Kunststoff            18   \n",
       "G48                                   Seile, synthetische            18   \n",
       "G114                                          Folien <5mm            18   \n",
       "G177                      Verpackungen aus Aluminiumfolie           177   \n",
       "G22     Deckel für Chemikalien, Reinigungsmittel (Ohne...           176   \n",
       "G100              Medizin; Behälter/Röhrchen/Verpackungen           176   \n",
       "G921                       Keramikfliesen und Bruchstücke           175   \n",
       "G123                           Polyurethan-Granulat < 5mm            17   \n",
       "G126                                                Bälle            17   \n",
       "G134                                      Sonstiges Gummi            17   \n",
       "G73     Gegenstände aus Schaumstoff & Teilstücke (nich...           162   \n",
       "G2                                         Säcke, Taschen            16   \n",
       "G936                             Folien für Gewächshäuser            16   \n",
       "G194    Kabel, Metalldraht oft in Gummi- oder Kunststo...            16   \n",
       "G87                  Abdeckklebeband/Verpackungsklebeband            16   \n",
       "G3                       Einkaufstaschen, Shoppingtaschen           156   \n",
       "G38     Abdeckungen; Kunststoffverpackungen, Folien zu...           151   \n",
       "G43     Sicherheitsetiketten, Siegel für Fischerei ode...            15   \n",
       "G918    Sicherheitsnadeln, Büroklammern, kleine Gebrau...            15   \n",
       "G175                      Getränkedosen (Dosen, Getränke)            14   \n",
       "G927    Plastikschnur von Rasentrimmern, die zum Schne...            14   \n",
       "G113                                           Fäden <5mm            14   \n",
       "G182       Angeln; Haken, Gewichte, Köder, Senkblei, usw.            14   \n",
       "G66     Umreifungsbänder; Hartplastik für Verpackung f...           130   \n",
       "G201                       Gläser, einschliesslich Stücke            13   \n",
       "G144                                              Tampons            13   \n",
       "G145                                     Andere Textilien            13   \n",
       "G203    Geschirr aus Keramik oder Glas, Tassen, Teller...            13   \n",
       "G186                                     Industrieschrott            12   \n",
       "G930                               Schaumstoff-Ohrstöpsel            12   \n",
       "G98                                Windeln – Feuchttücher           113   \n",
       "G59                         Monofile Angelschnur (Angeln)            11   \n",
       "G928                                 Bänder und Schleifen            11   \n",
       "G170                                   Holz (verarbeitet)            11   \n",
       "G211                     Sonstiges medizinisches Material           102   \n",
       "G156                                      Papierfragmente           101   \n",
       "G158                      Sonstige Gegenstände aus Papier            10   \n",
       "G942      Kunststoffspäne von Drehbänken, CNC-Bearbeitung            10   \n",
       "G210                   Sonstiges Glas/Keramik Materialien            10   \n",
       "G901                    Medizinische Masken, synthetische            10   \n",
       "G11            Kosmetika für den Strand, z.B. Sonnencreme            10   \n",
       "G940               Schaumstoff EVA (flexibler Kunststoff)            10   \n",
       "G30                                    Snack-Verpackungen         1 679   \n",
       "G112                           Industriepellets (Nurdles)         1 387   \n",
       "G95                                  Wattestäbchen/Tupfer         1 112   \n",
       "G74                    Schaumstoffverpackungen/Isolierung         1 112   \n",
       "G67                           Industriefolie (Kunststoff)         1 058   \n",
       "G172                               Sonstiges Holz > 50 cm             1   \n",
       "G166                                           Farbpinsel             1   \n",
       "G171                                Sonstiges Holz < 50cm             1   \n",
       "G129                           Schläuche und Gummiplatten             1   \n",
       "G14                Flaschen für Motoröl (Motorölflaschen)             1   \n",
       "G193                    Teile von Autos und Autobatterien             1   \n",
       "G173                                            Sonstiges             1   \n",
       "G39                                            Handschuhe             1   \n",
       "G202                                           Glühbirnen             1   \n",
       "G40                            Handschuhe Haushalt/Garten             1   \n",
       "G138                                  Schuhe und Sandalen             1   \n",
       "G51                                           Fischernetz             1   \n",
       "G154                         Zeitungen oder Zeitschriften             1   \n",
       "G64                                             Kotflügel             1   \n",
       "G102                                           Flip-Flops             1   \n",
       "G183                                 Teile von Angelhaken             1   \n",
       "G935    Gummi-Puffer für Geh- und Wanderstöcke und Tei...             1   \n",
       "G179                                         Einweg Grill             1   \n",
       "G945                                        Rasierklingen             0   \n",
       "G944              Pelletmasse aus dem Spritzgussverfahren             0   \n",
       "G999    Keine Gegenstände bei dieser Erhebung/Studie g...             0   \n",
       "G94                                             Tischtuch             0   \n",
       "G934    Sandsäcke, Kunststoff für Hochwasser- und Eros...             0   \n",
       "G111                           Kugelförmige Pellets < 5mm             0   \n",
       "G56                                     Verhedderte Netze             0   \n",
       "G122                           Kunststofffragmente (>1mm)             0   \n",
       "G196                       Grosse metallische Gegenstände             0   \n",
       "G53                           Netze und Teilstücke < 50cm             0   \n",
       "G52                                  Netze und Teilstücke             0   \n",
       "G41                  Handschuhe Industriell/Professionell             0   \n",
       "G214                                              Öl/Teer             0   \n",
       "G141                                             Teppiche             0   \n",
       "G205                                    Leuchtstoffröhren             0   \n",
       "G143                                  Segel und Segeltuch             0   \n",
       "G190                Farbtöpfe, Farbbüchsen,  ( Farbeimer)             0   \n",
       "G903    Behälter und Packungen für Handdesinfektionsmi...             0   \n",
       "G188                       Andere Kanister/Behälter < 4 L             0   \n",
       "G185                            Behälter mittlerer Grösse             0   \n",
       "G180                                      Haushaltsgeräte             0   \n",
       "G174                                    Aerosolspraydosen             0   \n",
       "G168                                          Holzbretter             0   \n",
       "G162                                               Kisten             0   \n",
       "G160                                             Paletten             0   \n",
       "G60                    Lichtstab, Knicklicht, Glow-sticks             0   \n",
       "G702                      Pistenmarkierungspfosten (Holz)             0   \n",
       "G703                   Pistenmarkierungspfosten (Plastik)             0   \n",
       "G704                                      Seilbahnbürsten             0   \n",
       "G902                           Medizinische Masken, Stoff             0   \n",
       "G132                                   Schwimmer (Angeln)             0   \n",
       "G9      Flaschen und Behälter für Reinigungsmittel und...             0   \n",
       "G88                                   Telefon inkl. Teile             0   \n",
       "G84                                      CD oder CD-Hülle             0   \n",
       "G713                                        Skiförderband             0   \n",
       "G712                                        Skihandschuhe             0   \n",
       "G711                                          Handwärmer              0   \n",
       "G710    Ski / Snowboards (Ski, Befestigungen und ander...             0   \n",
       "G71                                       Schuhe Sandalen             0   \n",
       "G709    Teller von Skistock (runder Teil aus Plastik u...             0   \n",
       "G708                                            Skistöcke             0   \n",
       "G707                                Skiausrüstungsetikett             0   \n",
       "G706                                        Skiabonnement             0   \n",
       "G705                                 Schrauben und Bolzen             0   \n",
       "G1                                          Sixpack-Ringe             0   \n",
       "\n",
       "        Anteil  p/100 m  Häufigkeitsrate     Material  \n",
       "code                                                   \n",
       "G91          0        0               36      Plastik  \n",
       "G922         0        0               32      Plastik  \n",
       "G159         0        0               41         Holz  \n",
       "G8           0        0                7      Plastik  \n",
       "G938         0        0                8      Plastik  \n",
       "G208         0        0               15         Glas  \n",
       "G904         0        0               25      Plastik  \n",
       "G941         0        0               16      Plastik  \n",
       "G119         0        0                1      Plastik  \n",
       "G128         0        0                6        Gummi  \n",
       "G926         0        0                6      Plastik  \n",
       "G118         0        0                4      Plastik  \n",
       "G133         0        0                7        Gummi  \n",
       "G90          0        0               26      Plastik  \n",
       "G125         0        0               27        Gummi  \n",
       "G916         0        0                6         Holz  \n",
       "G68          0        0                6      Plastik  \n",
       "G900         0        0                6        Gummi  \n",
       "G61          0        0                6      Plastik  \n",
       "G929         0        0                6       Metall  \n",
       "G117         2        0               29      Plastik  \n",
       "G165         0        0               24         Holz  \n",
       "G124         0        0               17      Plastik  \n",
       "G96          0        0               30      Plastik  \n",
       "G914         0        0               25      Plastik  \n",
       "G153         0        0               19       Papier  \n",
       "G50          0        0               30      Plastik  \n",
       "G176         0        0                3       Metall  \n",
       "G933         0        0                2      Plastik  \n",
       "G105         0        0                8      Plastik  \n",
       "G89          2        5               66      Plastik  \n",
       "G908         0        0               21      Plastik  \n",
       "G34          0        0               26      Plastik  \n",
       "G28          0        0               29      Plastik  \n",
       "G200         1        3               58         Glas  \n",
       "G923         0        0               20       Papier  \n",
       "G17          0        0                2      Plastik  \n",
       "G147         0        0                5       Papier  \n",
       "G195         0        0                5       Metall  \n",
       "G167         0        0                3         Holz  \n",
       "G917         0        0                3         Glas  \n",
       "G919         0        0                4       Metall  \n",
       "G101         0        0                5      Plastik  \n",
       "G97          0        0                5      Plastik  \n",
       "G93          0        0               25      Plastik  \n",
       "G26          0        0               24      Plastik  \n",
       "G905         0        0               30      Plastik  \n",
       "G155         0        0                3       Papier  \n",
       "G198         0        0               24       Metall  \n",
       "G131         0        0               28        Gummi  \n",
       "G115         0        0                4      Plastik  \n",
       "G106         1        0               24      Plastik  \n",
       "G21          1        2               56      Plastik  \n",
       "G146         0        0               10       Papier  \n",
       "Gfrags      15       61               96      Plastik  \n",
       "G136         0        0                3        Stoff  \n",
       "G931         0        0                2      Plastik  \n",
       "G29          0        0                4      Plastik  \n",
       "G181         0        0                4       Metall  \n",
       "G149         0        0               12       Papier  \n",
       "G152         0        0               14       Papier  \n",
       "G937         0        0               18      Plastik  \n",
       "G157         0        0               11       Papier  \n",
       "G24          1        4               73      Plastik  \n",
       "G70          1        1               52      Plastik  \n",
       "G939         0        0               14      Plastik  \n",
       "G4           0        0               13      Plastik  \n",
       "G204         0        0               15         Glas  \n",
       "G7           0        0               13      Plastik  \n",
       "G20          0        0               13      Plastik  \n",
       "G178         1        3               71       Metall  \n",
       "G207         0        0                1         Glas  \n",
       "Gfoam       13       26               83      Plastik  \n",
       "G27         11       47               94      Plastik  \n",
       "G197         0        0                3       Metall  \n",
       "G104         0        0                2      Plastik  \n",
       "G37          0        0                2      Plastik  \n",
       "G62          0        0                2      Plastik  \n",
       "G63          0        0                2      Plastik  \n",
       "G116         0        0                1      Plastik  \n",
       "G915         0        0                3      Plastik  \n",
       "G19          0        0                2      Plastik  \n",
       "G913         0        0                3      Plastik  \n",
       "G161         0        0                2         Holz  \n",
       "G108         0        0                2      Plastik  \n",
       "G92          0        0                3      Plastik  \n",
       "G906         0        0                3       Metall  \n",
       "G25          1        2               55      Plastik  \n",
       "G10          1        1               51      Plastik  \n",
       "G137         0        0               16        Stoff  \n",
       "G213         0        0               19  Chemikalien  \n",
       "G35          1        4               73      Plastik  \n",
       "G142         0        0               14        Stoff  \n",
       "G23          0        2               58      Plastik  \n",
       "G65          0        0               13      Plastik  \n",
       "G12          0        0               14      Plastik  \n",
       "G31          0        3               66      Plastik  \n",
       "G148         0        0                7       Papier  \n",
       "G191         0        0               13       Metall  \n",
       "G103         0        0                6      Plastik  \n",
       "G99          0        0               17      Plastik  \n",
       "G135         0        0               13        Stoff  \n",
       "G139         0        0                1        Stoff  \n",
       "G140         0        0                1        Stoff  \n",
       "G107         0        0                1      Plastik  \n",
       "G151         0        0                2       Papier  \n",
       "G36          0        0                1      Plastik  \n",
       "G907         0        0                2      Plastik  \n",
       "G150         0        0                2       Papier  \n",
       "G932         0        0                1      Plastik  \n",
       "G5           0        0                2      Plastik  \n",
       "G199         0        0                2       Metall  \n",
       "G13          0        0                1      Plastik  \n",
       "G55          0        0                2      Plastik  \n",
       "G925         0        0                2      Plastik  \n",
       "G109         0        0                1      Plastik  \n",
       "G49          0        0                2      Plastik  \n",
       "G33          0        2               57      Plastik  \n",
       "G32          0        2               63      Plastik  \n",
       "G6           0        0                6      Plastik  \n",
       "G943         0        0                8      Plastik  \n",
       "G48          0        0               12      Plastik  \n",
       "G114         0        0                2      Plastik  \n",
       "G177         0        2               56       Metall  \n",
       "G22          0        0               33      Plastik  \n",
       "G100         0        2               61      Plastik  \n",
       "G921         0        0               24         Glas  \n",
       "G123         0        0                1      Plastik  \n",
       "G126         0        0               11        Gummi  \n",
       "G134         0        0               13        Gummi  \n",
       "G73          0        0               39      Plastik  \n",
       "G2           0        0                8      Plastik  \n",
       "G936         0        0               10      Plastik  \n",
       "G194         0        0               15       Metall  \n",
       "G87          0        0                8      Plastik  \n",
       "G3           0        0               22      Plastik  \n",
       "G38          0        0               11      Plastik  \n",
       "G43          0        0                6      Plastik  \n",
       "G918         0        0                8       Metall  \n",
       "G175         0        0               10       Metall  \n",
       "G927         0        0                8      Plastik  \n",
       "G113         0        0                4      Plastik  \n",
       "G182         0        0                7       Metall  \n",
       "G66          0        0               41      Plastik  \n",
       "G201         0        0                6         Glas  \n",
       "G144         0        0                8        Stoff  \n",
       "G145         0        0                9        Stoff  \n",
       "G203         0        0                5         Glas  \n",
       "G186         0        0                4       Metall  \n",
       "G930         0        0               10      Plastik  \n",
       "G98          0        0               33      Plastik  \n",
       "G59          0        0                7      Plastik  \n",
       "G928         0        0                5      Plastik  \n",
       "G170         0        0                7         Holz  \n",
       "G211         0        0               43      Plastik  \n",
       "G156         0        0               27       Papier  \n",
       "G158         0        0                3       Papier  \n",
       "G942         0        0                8      Plastik  \n",
       "G210         0        0                4         Glas  \n",
       "G901         0        0                8      Plastik  \n",
       "G11          0        0                8      Plastik  \n",
       "G940         0        0                4      Plastik  \n",
       "G30          6       21               95      Plastik  \n",
       "G112         5        0               46      Plastik  \n",
       "G95          4       12               81      Plastik  \n",
       "G74          4       10               77      Plastik  \n",
       "G67          3        9               77      Plastik  \n",
       "G172         0        0                1         Holz  \n",
       "G166         0        0                1         Holz  \n",
       "G171         0        0                1         Holz  \n",
       "G129         0        0                1        Gummi  \n",
       "G14          0        0                1      Plastik  \n",
       "G193         0        0                1       Metall  \n",
       "G173         0        0                1         Holz  \n",
       "G39          0        0                1      Plastik  \n",
       "G202         0        0                1         Glas  \n",
       "G40          0        0                1      Plastik  \n",
       "G138         0        0                1        Stoff  \n",
       "G51          0        0                1      Plastik  \n",
       "G154         0        0                1       Papier  \n",
       "G64          0        0                1      Plastik  \n",
       "G102         0        0                1      Plastik  \n",
       "G183         0        0                1       Metall  \n",
       "G935         0        0                1      Plastik  \n",
       "G179         0        0                1       Metall  \n",
       "G945         0        0                0       Metall  \n",
       "G944         0        0                0      Plastik  \n",
       "G999         0        0                0    Unbekannt  \n",
       "G94          0        0                0      Plastik  \n",
       "G934         0        0                0      Plastik  \n",
       "G111         0        0                0      Plastik  \n",
       "G56          0        0                0      Plastik  \n",
       "G122         0        0                0      Plastik  \n",
       "G196         0        0                0       Metall  \n",
       "G53          0        0                0      Plastik  \n",
       "G52          0        0                0      Plastik  \n",
       "G41          0        0                0      Plastik  \n",
       "G214         0        0                0  Chemikalien  \n",
       "G141         0        0                0        Stoff  \n",
       "G205         0        0                0         Glas  \n",
       "G143         0        0                0        Stoff  \n",
       "G190         0        0                0       Metall  \n",
       "G903         0        0                0      Plastik  \n",
       "G188         0        0                0       Metall  \n",
       "G185         0        0                0       Metall  \n",
       "G180         0        0                0       Metall  \n",
       "G174         0        0                0       Metall  \n",
       "G168         0        0                0         Holz  \n",
       "G162         0        0                0         Holz  \n",
       "G160         0        0                0         Holz  \n",
       "G60          0        0                0      Plastik  \n",
       "G702         0        0                0         Holz  \n",
       "G703         0        0                0      Plastik  \n",
       "G704         0        0                0      Plastik  \n",
       "G902         0        0                0        Stoff  \n",
       "G132         0        0                0        Gummi  \n",
       "G9           0        0                0      Plastik  \n",
       "G88          0        0                0      Plastik  \n",
       "G84          0        0                0      Plastik  \n",
       "G713         0        0                0      Plastik  \n",
       "G712         0        0                0        Stoff  \n",
       "G711         0        0                0      Plastik  \n",
       "G710         0        0                0      Plastik  \n",
       "G71          0        0                0      Plastik  \n",
       "G709         0        0                0      Plastik  \n",
       "G708         0        0                0       Metall  \n",
       "G707         0        0                0      Plastik  \n",
       "G706         0        0                0      Plastik  \n",
       "G705         0        0                0       Metall  \n",
       "G1           0        0                0      Plastik  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option(\"display.max_rows\", None)\n",
    "complete_inventory = fdx.code_summary.copy()\n",
    "complete_inventory[\"quantity\"] = complete_inventory[\"quantity\"].map(lambda x: featuredata.thousandsSeparator(x, language))\n",
    "complete_inventory[\"% of total\"] = complete_inventory[\"% of total\"].astype(int)\n",
    "complete_inventory[unit_label] = complete_inventory[unit_label].astype(int)\n",
    "complete_inventory.rename(columns=featuredata.inventory_table_de, inplace=True)\n",
    "    \n",
    "# inventory_subsection = Paragraph(\"Inventar der Objekte\", featuredata.subsection_title)\n",
    "col_widths=[1.2*cm, 5.5*cm, 2.2*cm, 1.5*cm, 1.5*cm, 2.4*cm, 1.5*cm]\n",
    "inventory_table = aStyledTableWithTitleRow(complete_inventory, title=\"Inventar der Objekte\", colWidths=col_widths)\n",
    "new_map_image =  Image('resources/maps/lac-leman_location_labels.jpeg', width=cm*14, height=11*cm, kind=\"proportional\", hAlign= \"CENTER\")\n",
    "new_components = [\n",
    "    KeepTogether([\n",
    "        featuredata.large_space,\n",
    "        location_subsection,\n",
    "        featuredata.small_space,\n",
    "        new_map_image,\n",
    "        featuredata.small_space,        \n",
    "        pdf_table,\n",
    "        \n",
    "    ]),\n",
    "    featuredata.large_space,\n",
    "    inventory_table\n",
    "]\n",
    "    \n",
    "\n",
    "pdfcomponents = featuredata.addToDoc(new_components, pdfcomponents)\n",
    "\n",
    "complete_inventory.sort_values(by=\"Objekte (St.)\", ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [],
   "source": [
    "doc = SimpleDocTemplate(pdf_link, pagesize=A4, leftMargin=2.5*cm, rightMargin=2.5*cm, topMargin=2.5*cm, bottomMargin=1*cm)\n",
    "\n",
    "pageinfo = f'IQAASL/See/Zusammengefasste/{this_feature[\"name\"]}'\n",
    "\n",
    "\n",
    "source_prefix = \"https://hammerdirt-analyst.github.io/IQAASL-End-0f-Sampling-2021/\"\n",
    "source = f\"{this_feature['slug']}.html\"\n",
    "\n",
    "link_to_source = f'{source_prefix}{source}'\n",
    "\n",
    "def myLaterPages(canvas, doc):\n",
    "    canvas.saveState()\n",
    "    canvas.setLineWidth(.001*cm)\n",
    "    canvas.setFillAlpha(.8)\n",
    "    canvas.line(2.5*cm, 27.6*cm,  18.5*cm, 27.6*cm) \n",
    "    canvas.setFont('Times-Roman',9)\n",
    "    canvas.drawString(2.5*cm, 1*cm, link_to_source)\n",
    "    canvas.drawString(18.5*cm, 1*cm,  \"S.%d \" % (doc.page,))\n",
    "    canvas.drawString(2.5*cm, 27.7*cm, pageinfo)\n",
    "    canvas.restoreState()\n",
    "    \n",
    "doc.build(pdfcomponents,  onFirstPage=myLaterPages, onLaterPages=myLaterPages)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true,
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
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