Python | Pandas Index.hasnans

Pandas Index is an immutable ndarray implementing an ordered, sliceable set. It is the basic object that stores the axis labels for all panda’s objects. Pandas Index.hasnans attribute return True if there is any missing value in the given Index object otherwise it returns False indicating there are no missing values in the given Index object

Syntax: Index.hasnans
Parameter : None
Returns : boolean

Python | Pandas Index.hasnans

Below, are the examples of Python | Pandas Index.hasnans in Python.

Example 1: Index Creation with Pandas

Use Index.hasnans attribute to check if there is any missing value in the given Index object.

Python3

# importing pandas as pd
import pandas as pd

# Creating the index
idx = pd.Index(['Jan', 'Feb', 'Mar', 'Apr', 'May'])

# Print the index
print(idx)

Output

Index(['Jan', 'Feb', 'Mar', 'Apr', 'May'], dtype='object')

Now we will use Index.hasnans attribute to check if there is any missing value in the given Index object.

Python3

# check if there is any 
# missing value 
result = idx.hasnans 
  
# Print the result 
print(result) 

Output

False

As we can see in the output, the Index.hasnans attribute has returned False indicating there is no missing value in the given Index object.

Example 2 : Creating Date Index with Pandas

Use Index.hasnans attribute to check if there is any missing value in the given Index object.

Python3

# importing pandas as pd
import pandas as pd

# Creating the index
idx = pd.Index(['2012-12-12', None, '2002-1-10', None])

# Print the index
print(idx)

Output :

Index(['2012-12-12', None, '2002-1-10', None], dtype='object')

Now we will use Index.hasnans attribute to check if there is any missing value in the given Index object.

Python3

# check if there is any 
# missing value 
result = idx.hasnans 
  
# Print the result 
print(result) 

Output

True

As we can see in the output, the Index.hasnans attribute has returned True indicating there is some missing values in the given Index object.