‘df.index.names’ return list of column names involved in a multi index.

Example

multi_index_column_names = df.index.names

 

multi_index_column_names.py

import pandas as pd

# Create a sample DataFrame
data = {'Year': [2020, 2020, 2020, 2021, 2021, 2021, 2022, 2022],
        'Quarter': [1, 2, 3, 1, 2, 3, 1, 2],
        'Sales': [100, 150, 115, 120, 180, 90, 130, 160],
        'City': ['Bangalore', 'Bangalore', 'Bangalore', 'Hyderabad', 'Hyderabad', 'Hyderabad', 'Chennai', 'Chennai']
        }
df = pd.DataFrame(data)
print('Original DataFrame\n', df)

# Set Year and Quarter as indexes
df.set_index(['Year', 'Quarter'], inplace=True)
print('\nAfter setting index columns Year and Quarter\n',df)

multi_index_column_names = df.index.names
print('\nmulti_index_column_names\n', multi_index_column_names)

 

Output

Original DataFrame
    Year  Quarter  Sales       City
0  2020        1    100  Bangalore
1  2020        2    150  Bangalore
2  2020        3    115  Bangalore
3  2021        1    120  Hyderabad
4  2021        2    180  Hyderabad
5  2021        3     90  Hyderabad
6  2022        1    130    Chennai
7  2022        2    160    Chennai

After setting index columns Year and Quarter
               Sales       City
Year Quarter                  
2020 1          100  Bangalore
     2          150  Bangalore
     3          115  Bangalore
2021 1          120  Hyderabad
     2          180  Hyderabad
     3           90  Hyderabad
2022 1          130    Chennai
     2          160    Chennai

multi_index_column_names
 ['Year', 'Quarter']

 

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