Check if Pandas Index with Nans is a Floating Type

To check if the Pandas Index with some NaNs is a floating type, use the index.is_floating() method. At first, import the required libraries −

import pandas as pd
import numpy as np

Creating Pandas index with some NaNs −

index = pd.Index([5.7, 6.8, 10.5, np.nan,17.8, 25.6, np.nan ,np.nan, 50.2])

Display the Pandas index −

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

Check whether index values with some NaNs are floating type −

print("\nIndex values with some NaNs is a floating type?\n",index.is_floating())

Example

Following is the code −

import pandas as pd
import numpy as np

# Creating Pandas index with some NaNs
index = pd.Index([5.7, 6.8, 10.5, np.nan,17.8, 25.6, np.nan ,np.nan, 50.2])

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

# Return the number of elements in the Index
print("\nNumber of elements in the index...\n",index.size)

# Return the dtype of the data
print("\nThe dtype object...\n",index.dtype)

# check whether index values with some NaNs are floating type
print("\nIndex values with some NaNs is a floating type?\n",index.is_floating())

Output

This will produce the following output −

Pandas Index...
Float64Index([5.7, 6.8, 10.5, nan, 17.8, 25.6, nan, nan, 50.2], dtype='float64')

Number of elements in the index...
9

The dtype object...
float64

Index values with some NaNs is a floating type?
True