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.nlevels attribute returns the integer number of levels in the MultiIndex.
Syntax: MultiIndex.nlevels
Example #1: Use MultiIndex.nlevels attribute to find the number of levels in the MultiIndex.
# importing pandas as pd import pandas as pd   # Creating the array array = [[1, 2, 3], ['Sharon', 'Nick', 'Bailey']]   # Print the array print(array) |
Output :
Now let’s create the MultiIndex using this array
# Creating the MultiIndex midx = pd.MultiIndex.from_arrays(array, names =('Number', 'Names')) Â Â # Print the MultiIndex print(midx) |
Output :
Now we will find the number of levels in the MultiIndex.
# Print the number of the levels in MultiIndex midx.nlevels |
Output :
As we can see in the output, there are 2 levels in the midx MultiIndex.
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Example #2: Use MultiIndex.nlevels attribute to find the number of levels in the given MultiIndex.
# importing pandas as pd import pandas as pd   # Creating the array array = [[1, 2, 3], ['Sharon', 'Nick', 'Bailey'],             ['Doctor', 'Scientist', 'Physicist']]   # Print the array print(array) |
Output :
Now let’s create the MultiIndex using this array
# Creating the MultiIndex midx = pd.MultiIndex.from_arrays(array,           names =('Ranking', 'Names', 'Profession'))   # Print the MultiIndex print(midx) |
Output :
Now we will find the number of levels in the MultiIndex.
# Print the number of level in MultiIndex midx.nlevels |
Output :
As we can see in the output, midx MultiIndex has 3 levels.
