Python Pandas - Display the index of dataframe in the form of multi-index

To display the index of dataframe in the form of multiindex, use the dataframe.index(). At first, let us create a dictionary of lists −

# dictionary of lists
d = {'Car': ['BMW', 'Lexus', 'Audi', 'Mercedes', 'Jaguar', 'Bentley'], 'Date_of_purchase': 
   ['2020-10-10', '2020-10-12', '2020-10-17', '2020-10-16', '2020-10-19', '2020-10-22'] }

Create a DataFrame from the above dictionary of lists −

dataFrame = pd.DataFrame(d)

Now, set index column “Car” and display the index −

dataFrame.set_index(["Car"], inplace=True, append=True, drop=False)
print"\nMultiindex...\n",dataFrame.index

Example

Following is the code −

import pandas as pd

# dictionary of lists
d = {'Car': ['BMW', 'Lexus', 'Audi', 'Mercedes', 'Jaguar', 'Bentley'],'Date_of_purchase': 
   ['2020-10-10', '2020-10-12', '2020-10-17', '2020-10-16', '2020-10-19', '2020-10-22'] }

# creating dataframe from the above dictionary of lists
dataFrame = pd.DataFrame(d)
print"DataFrame...\n",dataFrame

# set index column
dataFrame.set_index(["Car"], inplace=True,
append=True, drop=False)

print"\nMultiindex...\n",dataFrame.index

Output

This will produce the following output −

DataFrame...
        Car  Date_of_purchase
0      BMW   2020-10-10
1    Lexus   2020-10-12
2     Audi   2020-10-17
3 Mercedes   2020-10-16
4   Jaguar   2020-10-19
5  Bentley   2020-10-22
Multiindex...
MultiIndex(levels=[[0, 1, 2, 3, 4, 5], [u'Audi', u'BMW', u'Bentley', u'Jaguar', u'Lexus', u'Mercedes']],
labels=[[0, 1, 2, 3, 4, 5], [1, 4, 0, 5, 3, 2]],
names=[None, u'Car'])