remove columns from dataframe

df.drop('column_name', axis=1, inplace=True)

df = df.drop(df.columns[[0, 1, 3]], axis=1)

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

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

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

del df['column_name'] #to remove a column from dataframe

DataFrame.drop(self, labels=None, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise')[source]