Python Pandas - Set only a single new specific level using the level name in a MultiIndex

To set only a single new specific level using the level name in a MultiIndex, use the MultiIndex.set_levels() method. The parameter level is used to set the level name.

At first, import the required libraries −

import pandas as pd

MultiIndex is a multi-level, or hierarchical, index object for pandas objects. Create arrays −

arrays = [[1, 2, 3, 4], ['John', 'Tim', 'Jacob', 'Chris']] 

The "names" parameter sets the names for each of the index levels. The from_arrays() is used to create a MultiIndex −

multiIndex = pd.MultiIndex.from_arrays(arrays, names=('ranks', 'student'))

Set the level in MultiIndex. We have set a new single specific level using the level name in the "level" parameter −

print("\nSet a new level in Multi-index...\n",multiIndex.set_levels(['Emma', 'Angelina', 'Scarlett', 'Jeni'], level = 'student'))

Example

Following is the code −

import pandas as pd # MultiIndex is a multi-level, or hierarchical, index object for pandas objects # Create arrays arrays = [[1, 2, 3, 4], ['John', 'Tim', 'Jacob', 'Chris']] # The "names" parameter sets the names for each of the index levels # The from_arrays() is used to create a MultiIndex multiIndex = pd.MultiIndex.from_arrays(arrays, names=('ranks', 'student')) # display the MultiIndex print("The Multi-index...\n",multiIndex) # get the levels in MultiIndex print("\nThe levels in Multi-index...\n",multiIndex.levels) # set the level in MultiIndex # We have set a new single specific level using the level name in the "level" parameter print("\nSet a new level in Multi-index...\n",multiIndex.set_levels(['Emma', 'Angelina', 'Scarlett', 'Jeni'], level = 'student'))

Output

This will produce the following output −

The Multi-index... MultiIndex([(1, 'John'),             (2, 'Tim'),             (3, 'Jacob'),           (4, 'Chris')], names=['ranks', 'student']) The levels in Multi-index... [[1, 2, 3, 4], ['Chris', 'Jacob', 'John', 'Tim']] Set a new level in Multi-index... MultiIndex([(1, 'Scarlett'), (2, 'Jeni'), (3, 'Angelina'), (4, 'Emma')], names=['ranks', 'student'])