drop a column from dataframe
#To delete the column without having to reassign df
df.drop('column_name', axis=1, inplace=True)drop a column from dataframe
#To delete the column without having to reassign df
df.drop('column_name', axis=1, inplace=True)drop unamed columns in pandas
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 38pandas drop column in dataframe
>>> df.drop(['B', 'C'], axis=1)
A D
0 0 3
1 4 7
2 8 11drop a column from dataframe
#to drop by column number instead of by column label, try this to delete, e.g. the 1st, 2nd and 4th columns
df = df.drop(df.columns[[0, 1, 3]], axis=1) # df.columns is zero-based pd.IndexCopyright © 2021 Codeinu
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