How to make a multi-index in Pandas?

To make a multi-index in Pandas, we can use groupby with list of columns.

Steps

• Create a two-dimensional, size-mutable, potentially heterogeneous tabular data, df.

• Print the input DataFrame.

• Print the index of DataFrame count.

• Use groupby to get different levels of a hierarchical index and count it.

• Print the mulitindex set in step 4.

Example

 Live Demo

import pandas as pd df = pd.DataFrame(    {       "x": [5, 2, 1, 9],       "y": [4, 1, 5, 10],       "z": [4, 1, 5, 0]    } ) print "Input DataFrame is:
", df print "
Default index: ", df.count().index df1 = df.groupby(["x", "y"]).count() print "
Multi index is like: 
", df1.index

Output

Input DataFrame is:    x  y  z 0  5  4  4 1  2  1  1 2  1  5  5 3  9 10  0 Default index: Index(['x', 'y', 'z'], dtype='object') Multi index is like: MultiIndex([(1, 5),    (2, 1),    (5, 4),    (9, 10)], names=['x', 'y'])