overwrites data issue: Trying to store multicolumn data from a data frame into one work sheet in an excel file
Question:
I am trying to store data from data frames and write it into in an excel sheet (same work sheet) without overwriting. But my script just overwrites the entire sheet. I want all the data to be stored with same column names as it is in the data frames.
Data Sample:
TO_NAME DURATION_H DIST_KM Municipality
Kristianstad 0.580586 39.04449 Simrishamn
Växjö 0.382231 22.52221 växjö
Kristianstad 0.365975 25.36170 Bromölla
Trelleborg 0.271014 13.65884 Trelleborg
Ystad 0.717728 40.96228 Tomelilla
I have tried to store the data in seperate data frames and then write into an excel file but still it overwrites the data. The sheet_name are different.
Here is my sample code:
df1_Regular_Ambulance_TT = pd.DataFrame()
df2_Regular_Ambulance_TT = pd.DataFrame()
df1_Regular_Ambulance_TT["Ambulance_ID"] = Regular_Ambulance_TT["Ambulance_ID"]
df2_Regular_Ambulance_TT["Centroid_ID"] = Regular_Ambulance_TT["Centroid_ID"]
df1_Regular_Ambulance_TT.to_excel(r'/Users/an2178/Desktop/Jupyter Notebook/Regular-Ambulance-Complete-TT.xlsx', sheet_name='Base_TT', index = False)
df2_Regular_Ambulance_TT.to_excel(r'/Users/an2178/Desktop/Jupyter Notebook/Regular-Ambulance-Complete-TT.xlsx', sheet_name='Centroid_ID', index = False)
I want to store my data like this in an excel sheet in the same work sheet:
How to avoid overwriting while storing multicolumns from data frames to an excel sheet in similar sheet?
Answers:
You can use Column to add up multi data into the same work sheet in an excel sheet.
This should work:
Regular_Ambulance_TT. to_excel(r'/Users/an2178/Desktop/Jupyter Notebook/Regular-Ambulance-Complete-TT.xlsx', columns = ['column1','column2','column3','column4'], index = False)
I am trying to store data from data frames and write it into in an excel sheet (same work sheet) without overwriting. But my script just overwrites the entire sheet. I want all the data to be stored with same column names as it is in the data frames.
Data Sample:
TO_NAME DURATION_H DIST_KM Municipality
Kristianstad 0.580586 39.04449 Simrishamn
Växjö 0.382231 22.52221 växjö
Kristianstad 0.365975 25.36170 Bromölla
Trelleborg 0.271014 13.65884 Trelleborg
Ystad 0.717728 40.96228 Tomelilla
I have tried to store the data in seperate data frames and then write into an excel file but still it overwrites the data. The sheet_name are different.
Here is my sample code:
df1_Regular_Ambulance_TT = pd.DataFrame()
df2_Regular_Ambulance_TT = pd.DataFrame()
df1_Regular_Ambulance_TT["Ambulance_ID"] = Regular_Ambulance_TT["Ambulance_ID"]
df2_Regular_Ambulance_TT["Centroid_ID"] = Regular_Ambulance_TT["Centroid_ID"]
df1_Regular_Ambulance_TT.to_excel(r'/Users/an2178/Desktop/Jupyter Notebook/Regular-Ambulance-Complete-TT.xlsx', sheet_name='Base_TT', index = False)
df2_Regular_Ambulance_TT.to_excel(r'/Users/an2178/Desktop/Jupyter Notebook/Regular-Ambulance-Complete-TT.xlsx', sheet_name='Centroid_ID', index = False)
I want to store my data like this in an excel sheet in the same work sheet:
How to avoid overwriting while storing multicolumns from data frames to an excel sheet in similar sheet?
You can use Column to add up multi data into the same work sheet in an excel sheet.
This should work:
Regular_Ambulance_TT. to_excel(r'/Users/an2178/Desktop/Jupyter Notebook/Regular-Ambulance-Complete-TT.xlsx', columns = ['column1','column2','column3','column4'], index = False)