From 6db162714b74a1e833750566ac94d57d950215fe Mon Sep 17 00:00:00 2001
From: HaasCP <57134208+HaasCP@users.noreply.github.com>
Date: Fri, 3 Mar 2023 14:15:54 +0100
Subject: [PATCH] Delete Untitled.ipynb
---
src/mocca/peak/Untitled.ipynb | 399 ----------------------------------
1 file changed, 399 deletions(-)
delete mode 100644 src/mocca/peak/Untitled.ipynb
diff --git a/src/mocca/peak/Untitled.ipynb b/src/mocca/peak/Untitled.ipynb
deleted file mode 100644
index f364159..0000000
--- a/src/mocca/peak/Untitled.ipynb
+++ /dev/null
@@ -1,399 +0,0 @@
-{
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- {
- "cell_type": "code",
- "execution_count": 12,
- "id": "a5eba2ea-4abb-4f6b-bb9a-f8052150911d",
- "metadata": {},
- "outputs": [],
- "source": [
- "import pandas as pd\n",
- "import glob\n",
- "from pathlib import Path\n",
- "#import numpy\n",
- "import matplotlib.pyplot as plt\n",
- "#%matplotlib inline\n",
- "import statistics\n",
- "from natsort import natsorted\n",
- "import datetime\n",
- "import time\n",
- "import os"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "id": "553c699f-6b0d-4368-9a44-ebb87b97de0b",
- "metadata": {},
- "outputs": [],
- "source": [
- "dmap_df = pd.read_clipboard()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "id": "106fe61d-7a40-4046-aa22-6323d28afae9",
- "metadata": {},
- "outputs": [],
- "source": [
- "dmap_df.to_csv(r'C:\\Users\\GMJAZ\\OneDrive - Bayer\\Desktop\\Xelsius\\Python and csv\\data analysis\\RCN decomp reports\\dmap_MIT_df.csv')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "id": "bed0bb52-8816-4960-98c3-095a01a6f00f",
- "metadata": {},
- "outputs": [],
- "source": [
- "flag = '.csv'\n",
- "#package_path = os.path.dirname(os.path.dirname(os.path.realpath('cyanation_well_plate_090721'))) #package main directory\n",
- "test_data_path = r'C:\\Users\\GMJAZ\\OneDrive - Bayer\\Desktop\\Xelsius\\Python and csv\\data analysis\\RCN decomp reports\\tmg20degC' # directory of test data\n",
- "csv_data = glob.glob(test_data_path + '/*' + flag + '*') #find all matching flag\n",
- "csv_data = natsorted(csv_data)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 17,
- "id": "e31d60cb-9e64-4b72-8853-749847a43c62",
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- {
- "cell_type": "code",
- "execution_count": 16,
- "id": "3d4d25cf-770a-4d8e-87cf-2fae19df193f",
- "metadata": {},
- "outputs": [],
- "source": [
- "bzo2cnpropane_df = pd.read_csv(csv_data[0])\n",
- "bzocnethane_df = pd.read_csv(csv_data[1])\n",
- "carbonate_df = pd.read_csv(csv_data[2])\n",
- "cn1oacethane_df = pd.read_csv(csv_data[3])\n",
- "cn2oacpropane_df = pd.read_csv(csv_data[4])"
- ]
- },
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