drop a column if it exists from dataframe
df = df.drop(df.columns[[0, 1, 3]], axis=1) # df.columns is zero-based pd.Index
3.9
10
if 'A' in df.columns:
del df['A']
Thank you!
10
0
4
4
df = df.drop(['col1', 'col2'], axis=1, errors='ignore')
Thank you!
4
0
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