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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')
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