PYTHON

pandas drop unnamed columns

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

delete unnamed 0 columns

df.drop(df.filter(regex="Unnamed"),axis=1, inplace=True)

delete unnamed coloumns in pandas

# Best method so far.
df = df.loc[:, ~df.columns.str.contains('^Unnamed')]

get rid of unnamed column pandas

df.to_csv(path, index=False)

drop all unnamed columns pandas

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

remove unnamed columns pandas

df2.columns.str.match("Unnamed")
df2.loc[:,~df2.columns.str.match("Unnamed")]