Check If the Index Has NaNs in Pandas

To check if the index has NaNs, use the index.hasnans property in Pandas.

At first, import the required libraries −

import pandas as pd
import numpy as np

Creating the index. For NaN, we have used numpy library −

index = pd.Index(['Car','Bike', np.nan,'Car',np.nan, 'Ship'])

Display the index −

print("Pandas Index...\n",index)

Check if the index is having NaNs −

print("\nIs the Pandas index having NaNs?\n",index.hasnans)

Example

Following is the code −

import pandas as pd
import numpy as np

# Creating the index

# For NaN, we have used numpy library
index = pd.Index(['Car','Bike', np.nan,'Car',np.nan, 'Ship'])

# Display the index
print("Pandas Index...\n",index)

# Return an array representing the data in the Index
print("\nArray...\n",index.values)

# Check if the index is having NaNs
print("\nIs the Pandas index having NaNs?\n",index.hasnans)

# Return a tuple of the shape of the underlying data
print("\nA tuple of the shape of underlying data...\n",index.shape)

Output

This will produce the following code −

Pandas Index...
Index(['Car', 'Bike', nan, 'Car', nan, 'Ship'], dtype='object')

Array...
['Car' 'Bike' nan 'Car' nan 'Ship']

Is the Pandas index having NaNs?
True

A tuple of the shape of underlying data...
(6,)