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]
To delete rows and columns from DataFrames, Pandas uses the “drop” function. To delete a column, or multiple columns, use the name of the column(s), and specify the “axis” as 1.
