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
NOTE: very often there is only one unnamed column Unnamed: 0
, which is the first column in the CSV file. This is the result of the following steps:
- a DataFrame is saved into a CSV file using parameter
index=True
, which is the default behaviour - we read this CSV file into a DataFrame using
pd.read_csv()
without explicitly specifyingindex_col=0
(default:index_col=None
)
The easiest way to get rid of this column is to specify the parameter pd.read_csv(..., index_col=0)
:
df = pd.read_csv('data.csv', index_col=0)