Remove Unnamed columns in pandas dataframe [duplicate]

Question

I have a data file from columns A-G like below but when I am reading it with pd.read_csv('data.csv') it prints an extra unnamed column at the end for no reason.

colA    ColB    colC    colD    colE    colF    colG    Unnamed: 7 44      45      26      26      40      26      46        NaN 47      16      38      47      48      22      37        NaN 19      28      36      18      40      18      46        NaN 50      14      12      33      12      44      23        NaN 39      47      16      42      33      48      38        NaN 

I have seen my data file various times but I have no extra data in any other column. How I should remove this extra column while reading ? Thanks

Answer 1

df = df.loc[:, ~df.columns.str.contains('^Unnamed')]  In [162]: df Out[162]:    colA  ColB  colC  colD  colE  colF  colG 0    44    45    26    26    40    26    46 1    47    16    38    47    48    22    37 2    19    28    36    18    40    18    46 3    50    14    12    33    12    44    23 4    39    47    16    42    33    48    38 

if the first column in the CSV file has index values, then you can do this instead:

df = pd.read_csv('data.csv', index_col=0) 

Answer 2

First, find the columns that have 'unnamed', then drop those columns. Note: You should Add inplace = True to the .drop parameters as well.

df.drop(df.columns[df.columns.str.contains('unnamed',case = False)],axis = 1, inplace = True)