remove column from dataframe
df.drop('column_name', axis=1, inplace=True)remove column from dataframe
df.drop('column_name', axis=1, inplace=True)delete unnamed coloumns in pandas
# Best method so far.
df = df.loc[:, ~df.columns.str.contains('^Unnamed')]remove columns from a dataframe python
df = df.drop(df.columns[[0, 1, 3]], axis=1) # df.columns is zero-based pd.Indexpandas remove column
del df['column_name']remove columns from dataframe
df.drop('col_name',1) #1 drop column / 0 drop rowhow to drop a column by name in pandas
>>> midx = pd.MultiIndex(levels=[['lama', 'cow', 'falcon'],
... ['speed', 'weight', 'length']],
... codes=[[0, 0, 0, 1, 1, 1, 2, 2, 2],
... [0, 1, 2, 0, 1, 2, 0, 1, 2]])
>>> df = pd.DataFrame(index=midx, columns=['big', 'small'],
... data=[[45, 30], [200, 100], [1.5, 1], [30, 20],
... [250, 150], [1.5, 0.8], [320, 250],
... [1, 0.8], [0.3, 0.2]])
>>> df
big small
lama speed 45.0 30.0
weight 200.0 100.0
length 1.5 1.0
cow speed 30.0 20.0
weight 250.0 150.0
length 1.5 0.8
falcon speed 320.0 250.0
weight 1.0 0.8
length 0.3 0.2Copyright © 2021 Codeinu
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