drop column by index pandas code example
Example 1: how to drop the index column in pandas
df.reset_index(drop=True, inplace=True)
Example 2: drop columns pandas
df.drop(columns=['B', 'C'])
Example 3: remove 1st column pandas
df = df.drop(df.columns[[0, 1, 3]], axis=1)
Example 4: python pandas drop
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
Drop columns
>>> df.drop(['B', 'C'], axis=1)
A D
0 0 3
1 4 7
2 8 11
>>> df.drop(columns=['B', 'C'])
A D
0 0 3
1 4 7
2 8 11
Example 5: pandas drop columns by index
cols = [1,2,4,5,12]
df.drop(df.columns[cols],axis=1,inplace=True)
Example 6: how to drop a column by name in pandas
>>> df.drop(columns=['B', 'C'])
A D
0 0 3
1 4 7
2 8 11