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Python - Show which entries in a Pandas Index are not NA
To show which entries in a Pandas Index are not NA, use the index.notna() method. At first, import the required libraries -
import pandas as pd import numpy as np
Creating Pandas index with some NaN values −
index = pd.Index([5, 65, np.nan, 17, 75, np.nan])
Display the Pandas index −
print("Pandas Index...\n",index)Show which entries in a Pandas index are not-NA. Return True for non-NA entries −
print("\nCheck which entries are not-NA...\n", index.notna())
Example
Following is the code −
import pandas as pd
import numpy as np
# Creating Pandas index with some NaN values
index = pd.Index([5, 65, np.nan, 17, 75, np.nan])
# 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)
# Show which entries in a Pandas index are not-NA
# Return True for non-NA entries
print("\nCheck which entries are not-NA...\n", index.notna())Output
This will produce the following output −
Pandas Index... Float64Index([5.0, 65.0, nan, 17.0, 75.0, nan], dtype='float64') Number of elements in the index... 6 The dtype object... float64 Check which entries are not-NA... [ True True False True True False]
Updated on: 13-Oct-2021
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