I have two excel sheets, I am trying to copy contents from one excel sheet to another using pandas.
First_excel sheet -
Name Class City Date Misc Misc2 Blank Col
AA xxx 12 --
AA xx 32 --
BB yyyyy 54 --
BB zz 23 --
CC yy 54 --
CC ww 32 --
Second_excel sheet -
Name Class Date City
Tom Q,W 01-11-20 AA
Jerry W 05-03-19 AA
Don E,R 06-05-20 BB
Rob T,Y 02-01-20 BB
Mike W 05-03-18 CC
Ann O,p 04-09-20 CC
Final Expected Sheet -
Name Class City Date Misc Misc2 Blank Col
Tom Q,W AA 01-11-20 xxx 12 --
Jerry W AA 05-03-19 xx 32 --
Don E,R BB 06-05-20 yyyyy 54 --
Rob T,Y BB 02-01-20 zz 23 --
Mike W CC 05-03-18 yy 54 --
Ann O,p CC 04-09-20 ww 32 --
df1 = pd.read_excel("new_excel_file.xlsx", sheet_name = "Sheet1")
df2 = pd.read_excel("new_excel_file.xlsx", sheet_name = "Sheet2")
result = pd.concat([df1,df2])
This is the resultant dataframe I got
Name Class City Date Misc Misc2 Blank Col
0 NaN NaN AA NaT xxx 12.0 --
1 NaN NaN AA NaT xx 32.0 --
2 NaN NaN BB NaT yyyyy 54.0 --
3 NaN NaN BB NaT zz 23.0 --
4 NaN NaN CC NaT yy 54.0 --
5 NaN NaN CC NaT ww 32.0 --
0 Tom Q,W AA 2020-11-01 NaN NaN NaN
1 Jerry W AA 2019-03-05 NaN NaN NaN
2 Don E,R BB 2020-05-06 NaN NaN NaN
3 Rob T,Y BB 2020-01-02 NaN NaN NaN
4 Mike W CC 2018-03-05 NaN NaN NaN
5 Ann O,p CC 2020-09-04 NaN NaN NaN
My ideas was to replace NaN with actual values from df2 or second_excel in their positions.
Please help me to get my expected output.