To get the codes (location of each label) in MultiIndex, use the MultiIndex.codes property in Pandas. 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, 5], ['John', 'Tim', 'Jacob', 'Chris', 'Keiron']]
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'))
Get the location of each label in Multiindex −
print("\nThe location of each label in Multi-index...\n",multiIndex.codes)
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, 5], ['John', 'Tim', 'Jacob', 'Chris', 'Keiron']] # 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) # get the location of each label in Multiindex print("\nThe location of each label in Multi-index...\n",multiIndex.codes)
Output
This will produce the following output −
The Multi-index... MultiIndex([(1, 'John'), (2, 'Tim'), (3, 'Jacob'), (4, 'Chris'), (5, 'Keiron')], names=['ranks', 'student']) The levels in Multi-index... [[1, 2, 3, 4, 5], ['Chris', 'Jacob', 'John', 'Keiron', 'Tim']] The location of each label in Multi-index... [[0, 1, 2, 3, 4], [2, 4, 1, 0, 3]]