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s2_all_band donwnload data.from Google Earth Engine.py

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+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Tue Oct  1 11:35:47 2019
+
+@author: yaron
+"""
+
+import ee
+import os
+from ipygee import *
+import geopandas as gpd
+import pandas as pd 
+from datetime import datetime
+import openpyxl
+import xlsxwriter
+
+ee.Initialize()
+
+
+feature_to_use ='users/yaron1205/DAVID_BONFL/South2020'
+
+id_colum_to_use = 'field'
+
+patch_to_save_file_with_file_name = '/home/yaron/South2020.xlsx'
+
+
+
+
+def donwload_Sentinel_2_Level_1C (Feature_to_use,Column_name,Patch_to_save_file_with_file_name):
+    '''
+    to add
+    the scale of all the band wil be 10m
+
+            Parameters:
+                    a (str): the gee feature to use like this 'users/yaron1205/DAVID_BONFL/South250220'
+                    b (str): feature column to use  of gee feature 
+                    b (str): patch_to_save_file_with_file_name like this in linux '/home/yaron/South250220.xlsx'
+
+            Returns:
+                    binary_sum (str): Binary string of the sum of a and b
+                    
+    '''
+    Scale = 0.0001 
+    def Scale_function(x):
+     x= x*Scale
+     return x
+    # Create a workbook and add a worksheet.
+
+    workbook = xlsxwriter.Workbook(patch_to_save_file_with_file_name)
+    worksheet = workbook.add_worksheet()
+    workbook.close()
+
+
+
+
+    feature = ee.FeatureCollection(feature_to_use)
+    fc_temp = feature.getInfo()
+    fc_info =fc_temp['features']
+
+
+    list_of_vale_to_loop =[]
+
+   # Using for loop 
+    #count=0
+    for i in fc_info: 
+   # count +=1
+    #print (str(count))
+     print(i['properties'][id_colum_to_use]) 
+    #temp = i['properties'][id_colum_to_use]
+    #x=temp.replace('/', '--')
+    #list_of_vale_to_loop.append(x+str(count))
+     list_of_vale_to_loop.append(i['properties'][id_colum_to_use])
+
+    list_of_vale_to_loop = list_of_vale_to_loop
+
+
+    list_of_vale_to_loop.sort()
+
+    list_of_sheet =[]
+    list_of_sheet_name =[]
+    count=0
+
+   #    start the work 
+
+    for vale in  list_of_vale_to_loop:
+     count +=1
+     vale =str(vale)
+     print (vale)
+     FC = (ee.FeatureCollection(feature_to_use).filter(ee.Filter().eq(id_colum_to_use, vale)))
+     print(FC)  
+     col = ee.ImageCollection('COPERNICUS/S2').filterBounds(feature)
+     time_series = col.filterDate('2019-11-01', '2020-05-01')
+     bands = ['B1', 'B2', 'B3','B4', 'B5', 'B6','B7', 'B8', 'B8A','B9', 'B10', 'B11','B12','QA60']
+     chart_ts = chart.Image.series(**{
+     'imageCollection': time_series, 
+     'region': FC,
+     'scale': 10,
+     'bands': bands,
+     'reducer': ee.Reducer.mean()}) 
+
+     print(chart_ts.dataframe)   
+
+     dataframe = chart_ts.dataframe.apply(Scale_function, axis=1)
+
+     list_of_sheet.append(dataframe)
+    #vale=vale.replace('/', '--')
+     print (count)
+     x = vale.replace('/', '--')
+     list_of_sheet_name.append(x+"  "+str(count))
+
+    for sheet_data, sheet in zip(list_of_sheet, list_of_sheet_name):
+     print(sheet_data, sheet)
+
+     sheet_data['DATE'] = sheet_data.index
+     sheet_data = sheet_data.reindex(columns=['DATE','B1', 'B2', 'B3','B4', 'B5', 'B6','B7', 'B8', 'B8A','B9', 'B10', 'B11','B12','QA60'])
+     sheet_data['DATE'] = sheet_data['DATE'].apply(lambda x: x.strftime("%d/%m/%Y"))
+     sheet_data = sheet_data.rename({'QA60': 'CloudMask' } , axis='columns')
+     sheet_data['CloudMask'] = sheet_data['CloudMask'].apply(lambda x: 1 if x > 0 else 0)
+
+     writer = pd.ExcelWriter(patch_to_save_file_with_file_name, engine='openpyxl')
+     book = openpyxl.load_workbook(patch_to_save_file_with_file_name)
+     writer.book = book
+     writer.sheets = dict((ws.title, ws) for ws in book.worksheets)
+     sheet_data.to_excel(writer, sheet_name=sheet, index=False )
+     writer.save()
+
+
+
+    workbook=openpyxl.load_workbook(patch_to_save_file_with_file_name)
+    std=workbook['Sheet1']
+    workbook.remove(std)
+    workbook.save(patch_to_save_file_with_file_name)
+    return  "END"
+
+donwload_Sentinel_2_Level_1C(feature_to_use,id_colum_to_use,patch_to_save_file_with_file_name)        
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