Python Pandas - Create Multiindex from dataframe

To create Multiindex from DataFrame, use the MultiIndex. from_frame() method. At first, let us create a 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'] }

Next, create a Pandas DataFrame from the above dictionary of lists −

dataFrame = pd.DataFrame(d)

Now create multiindex using from_frame() −

print(pd.MultiIndex.from_frame(dataFrame))

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)

# creating multiple indexes
print(pd.MultiIndex.from_frame(dataFrame))

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 ([(     'BMW','2020-10-10'),
             (   'Lexus','2020-10-12'),
             (    'Audi','2020-10-17'),
             ('Mercedes','2020-10-16'),
             (  'Jaguar','2020-10-19'),
             (  'Bentley '2020-10-22')],
          names=['Car,Date _of_purchase'])