Python | Pandas MultiIndex.names

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.

# 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'))

# Print the MultiIndex
print(midx)

Output :

Now we will find the names of all the levels in the MultiIndex.

# Print the names of the level in MultiIndex
midx.names

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.

# 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 names of all the levels in the MultiIndex.

# Print the names of the level in MultiIndex
midx.names

Output :

As we can see in the output, midx has three levels and the name of the levels are ‘Number’, ‘Names’ and ‘Profession’.