Python Pandas - Return Index without NaN values

To return Index without NaN values, use the index.dropna() method in Pandas. At first, import the required libraries −

import pandas as pd
import numpy as np

Creating Pandas index with some NaN values as well −

index = pd.Index([50, 10, 70, np.nan, 90, 50, np.nan, np.nan, 30])

Display the Pandas index −

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

Drop only the NaN values −

print("\nThe Index object after removing NaN values...\n",index.dropna())

Example

Following is the code −

import pandas as pd
import numpy as np

# Creating Pandas index with some NaN values as well
index = pd.Index([50, 10, 70, np.nan, 90, 50, np.nan, np.nan, 30])

# 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)

# Drop only the NaN values
print("\nThe Index object after removing NaN values...\n",index.dropna())

Output

This will produce the following output −

Pandas Index...
Float64Index([50.0, 10.0, 70.0, nan, 90.0, 50.0, nan, nan, 30.0], dtype='float64')

Number of elements in the index...
9

The dtype object...
float64

The Index object after removing NaN values...
Float64Index([50.0, 10.0, 70.0, 90.0, 50.0, 30.0], dtype='float64')