pandas drop column by index 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: python - drop a column

# axis=1 tells Python that we want to apply function on columns instead of rows
# To delete the column permanently from original dataframe df, we can use the option inplace=True
df.drop(['A', 'B', 'C'], axis=1, inplace=True)

Example 4: remove 1st column pandas

df = df.drop(df.columns[[0, 1, 3]], axis=1)  # df.columns is zero-based pd.Index

Example 5: 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 6: pandas drop columns by index

cols = [1,2,4,5,12]
df.drop(df.columns[cols],axis=1,inplace=True)