pd.read_csv with some missing columns

Question

I have a txt file as below and I want to read in this file as df, but got an error: Too many columns specified , because row 3 and row 4 only have 3 columns, is it possible to keep all my 5 columns and just let the missing columns in row 3 and 4 empty?

df = pd.read_csv(data, sep =";", dtype = str, headers = None)

1;2;3;4;5
1;2;3;4;5
1;2;3
1;2;3

ideal df:

Col1 Col2 Col3 Col4 Col5
 1    2    3    4     5
 1    2    3    4     5
 1    2    3
 1    2    3

Answer 1

Works just fine for me. My pandas version == 1.2.1

This is the command I used:

pd.read_csv(data, sep =";", header=None)

the output:

   0  1  2    3    4
0  1  2  3  4.0  5.0
1  1  2  3  4.0  5.0
2  1  2  3  NaN  NaN
3  1  2  3  NaN  NaN

You change the names of columns with names parameter in your read_csv function