Python | Pandas MultiIndex.is_lexsorted()
Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Pandas MultiIndex.is_lexsorted() function return True if the labels are lexicographically sorted. Otherwise the function return False indicating the labels are not lexicographically sorted.
Syntax: MultiIndex.is_lexsorted()
Parameters : None
Returns : boolean
Example #1: Use MultiIndex.is_lexsorted() function to check if the MultiIndex labels are lexicographically sorted or not.
# importing pandas as pd import pandas as pd # Create the MultiIndex midx = pd.MultiIndex.from_arrays([['Networking', 'Cryptography', 'Anthropology', 'Science'], [88, 84, 98, 95]]) # Print the MultiIndex print(midx) |
Output :
Now let’s check if the labels in the MultiIndex are lexicographically sorted or not.
# check if labels are sorted or not midx.is_lexsorted() |
Output :
As we can see in the output, the function has returned false indicating that the labels in the MultiIndex are not lexicographically sorted.
Example #2: Use MultiIndex.is_lexsorted() function to check if the MultiIndex labels are lexicographically sorted or not.
# importing pandas as pd import pandas as pd # Create the MultiIndex midx = pd.MultiIndex.from_arrays([['Anthropology', 'Cryptography', 'Networking', 'Science'], [88, 84, 98, 95]]) # Print the MultiIndex print(midx) |
Output :
Now let’s check if the labels in the MultiIndex are lexicographically sorted or not.
# check if labels are sorted or not midx.is_lexsorted() |
Output :
As we can see in the output, the function has returned true indicating that the labels in the MultiIndex are lexicographically sorted.
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