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Python Pandas IntervalIndex - Check if an interval with missing values is empty or not
To check if an interval with missing values is empty or not, use the IntervalIndex.is_empty property. At first, import the required libraries −
import pandas as pd import numpy as np
Create IntervalIndex with NaN values −
interval = pd.IntervalIndex.from_arrays([np.nan, np.nan], [np.nan, np.nan])
Display the interval −
print("IntervalIndex...\n",interval)Check if the interval that contains missing values is empty or not −
print("\nIs the interval empty?\n",interval.is_empty)
Example
Following is the code −
import pandas as pd
import numpy as np
# Create IntervalIndex with NaN values
interval = pd.IntervalIndex.from_arrays([np.nan, np.nan], [np.nan, np.nan])
# Display the interval
print("IntervalIndex...\n",interval)
# Display the interval length
print("\nIntervalIndex length...\n",interval.length)
# check if the interval that contains missing values is empty or not
print("\nIs the interval empty?\n",interval.is_empty)Output
This will produce the following output −
IntervalIndex... IntervalIndex([nan, nan], dtype='interval[float64, right]') IntervalIndex length... Float64Index([nan, nan], dtype='float64') Is the interval empty? [False False]
Updated on: 18-Oct-2021
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