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Python Pandas - Set only a single new specific level in a MultiIndex
To set only a single new specific level in a MultiIndex, use the MultiIndex.set_levels() method with parameter level. 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'))We have set a new single specific level using the "level" parameter −
print("\nSet a new level in Multi-index...\n",multiIndex.set_levels(['p', 'q', 'r', 's'], level = 0))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" parameter
print("\nSet a new level in Multi-index...\n",multiIndex.set_levels(['p', 'q', 'r', 's'], level = 0))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([('p', 'John'),
('q', 'Tim'),
('r', 'Jacob'),
('s', 'Chris')],
names=['ranks', 'student'])
Updated on: 19-Oct-2021
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