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Python Pandas - How to Sort MultiIndex at a specific level
To create a MultiIndex, use the from_arrays() method. However, to sort MultiIndex at a specific level, use the multiIndex.sortlevel() method in Pandas. Set the level as an argument.
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 = [[2, 4, 3, 1], ['Peter', 'Chris', 'Andy', 'Jacob']]
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'))Sort MultiIndex. The specific level to sort is set as a parameter i.e. level 1 here −
print("\nSort MultiIndex at the requested level...\n",multiIndex.sortlevel(1))
Example
Following is the code −
import pandas as pd
# MultiIndex is a multi-level, or hierarchical, index object for pandas objects
# Create arrays
arrays = [[2, 4, 3, 1], ['Peter', 'Chris', 'Andy', 'Jacob']]
# 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)
# Sort MultiIndex
# The specific level to sort is set as a parameter i.e. level 1 here
print("\nSort MultiIndex at the requested level...\n",multiIndex.sortlevel(1))Output
This will produce the following output −
The Multi-index...
MultiIndex([(2, 'Peter'),
(4, 'Chris'),
(3, 'Andy'),
(1, 'Jacob')],
names=['ranks', 'student'])
The levels in Multi-index...
[[1, 2, 3, 4], ['Andy', 'Chris', 'Jacob', 'Peter']]
Sort MultiIndex at the requested level...
(MultiIndex([(3, 'Andy'),
(4, 'Chris'),
(1, 'Jacob'),
(2, 'Peter')],
names=['ranks', 'student']), array([2, 1, 3, 0], dtype=int64))
Updated on: 19-Oct-2021
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