Answers for "pd df drop columns"

drop a column pandas

df.drop(['column_1', 'Column_2'], axis = 1, inplace = True)

df drop column

df = df.drop(['B', 'C'], axis=1)

Python pandas how to drop a column

df = pd.DataFrame(np.arange(12).reshape(3, 4), columns=['A', 'B', 'C', 'D'])
>>> df
   A  B   C   D
0  0  1   2   3
1  4  5   6   7
2  8  9  10  11

cols=['B', 'C']
>>> df.drop(columns = cols)  # or # df.drop(columns = ['B', 'C'])
   A   D
0  0   3
1  4   7
2  8  11

drop columns

>>> df.drop(index='cow', columns='small')
                big
lama    speed   45.0
        weight  200.0
        length  1.5
falcon  speed   320.0
        weight  1.0
        length  0.3

drop 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.Index