Python | Pandas MultiIndex.names
Last Updated :
24 Dec, 2018
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.names attribute returns the names of levels in the MultiIndex.
Syntax: MultiIndex.names
Example #1: Use MultiIndex.names attribute to find the names of the levels in the MultiIndex.
import pandas as pd
array = [[1, 2, 3], ['Sharon', 'Nick', 'Bailey']]
print(array)
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Output :
Now let’s create the MultiIndex using this array
midx = pd.MultiIndex.from_arrays(array, names =('Number', 'Names'))
print(midx)
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Output :
Now we will find the names of all the levels in the MultiIndex.
Output :
As we can see in the output, midx has two levels and the name of the levels are ‘Number’ and ‘Names’.
Example #2: Use MultiIndex.names attribute to find the names of the levels in the given MultiIndex.
import pandas as pd
array =[[1, 2, 3], ['Sharon', 'Nick', 'Bailey'],
['Doctor', 'Scientist', 'Physicist']]
print(array)
|
Output :
Now let’s create the MultiIndex using this array
midx = pd.MultiIndex.from_arrays(array,
names =('Ranking', 'Names', 'Profession'))
print(midx)
|
Output :
Now we will find the names of all the levels in the MultiIndex.
Output :
As we can see in the output, midx has three levels and the name of the levels are ‘Number’, ‘Names’ and ‘Profession’.
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