How to copy multiple columns to single column in excel using python script

Question

I am new to python. I would like to copy multiple columns to single column in a excel using python.
And in that single column first heading and then value if the value is not present the that column should not copy.

Example Excel data:

Column A	Column B	Column C	Column D
One	Two	Three	Four
Five		Six	Seven
xyz	hjy		abc

Excepted Result:

Column A	Column B	Column C	Column D	Column E
One	Two	Three		Column A :One, Column B:Two, Column C:Three
Five		Six	Seven	Column A :Five, Column C:Six, Column D:Seven
xyz	hjy		abc	Column A :xyz, Column B:hjy, Column D:abc

Example and Expected result image

Kindly help to resolve the issue.
Thank you.

Asked By: Kishore Gangavath

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Source

Answer 1

You can use two for loops, the outer one being for the rows and the inner one for the columns, and for each cell then check whether the cell.value!=null, if not you can add the value to a string and then when you reach the final element of the inner loop you can add the particular content to the respective last column.

Answered By: Eshan Yadav

Answer 2

it’s not quite clear what you expect to get, but with this you’ll get something like this:

import pandas as pd

df = pd.read_excel('file.xlsx')
df['col_E'] = df.apply(lambda x: ','.join(f'{k}:{v}' for k,v in x.dropna().to_dict().items()),1)
df.to_excel('new_file.xlsx',index=False)

new_file.xlsx

upd

selecting columns to read from excel file:

cols = ['Column A', 'Column C', 'Column D']  # columns to read

df = pd.read_excel('file.xlsx', usecols=cols)
#                               ^^^^^^^^^^^^
df['col_E'] = df.apply(lambda x: ','.join(f'{k}:{v}' for k,v in x.dropna().to_dict().items()),1)
df.to_excel('new_file.xlsx',index=False)

new_file.xlsx

Answered By: SergFSM

How to copy multiple columns to single column in excel using python script

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