Python | Pandas MultiIndex.nlevels

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.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')) 
  
# 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.

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.

Python | Pandas Index.min()

Shubham__Ranjan

Improve

Article Tags :

Practice Tags :

python

Similar Reads

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. Synta

2 min read

Python | Pandas Index.isnull()

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 Index.isnull() function detect missing values. It return a boolean same-sized o

2 min read

Python | Pandas Index.nbytes

Pandas Index is an immutable ndarray implementing an ordered, sliceable set. It is the basic object which stores the axis labels for all pandas objects. Pandas Index.nbytes attribute return the number of bytes required to store the underlying data of the given Index object. Syntax: Index.nbytes Para

2 min read

Python | Pandas Index.notnull()

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 Index.notnull() function detect existing (non-missing) values. This function re

2 min read

Python | Pandas Index.min()

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 Index.min() function returns the minimum value of the Index. The function works

2 min read

Python | Pandas Index.isin()

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 Index.isin() function return a boolean array where the index values are in valu

2 min read

Python | Pandas Index.set_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 Index.set_names() function set new names on index. For the given Index it reset

2 min read

Python | Pandas Index.get_loc()

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 Index.get_loc() function return integer location, slice or boolean mask for req

3 min read

Python | Pandas Index.nunique()

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 Index.nunique() function return number of unique elements in the object. It ret

2 min read

Python | Pandas Index.isna()

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 Index.isna() function detect missing values. It return a boolean same-sized obj

2 min read