drop columns pandas by index code example

Example 1: drop columns pandas

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

Example 2: 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 3: pandas drop columns by index

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

Example 4: remove columns from dataframe

df.drop('col_name',1) #1 drop column / 0 drop row

Example 5: drop the first column pandas

df.set_index['column'] # column refers to column to be set as index