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Python Pandas IntervalArray - Check Intervals that share closed endpoints overlap or not
To check Intervals that share closed endpoints overlap or not, use the IntervalArray.overlaps() method in Pandas.
At first, import the required libraries −
import pandas as pd
Two intervals overlap if they share a common point, including closed endpoints. Create an IntervalArray
intervals = pd.arrays.IntervalArray.from_tuples([(10, 20), (15, 35)])
Display the IntervalArray −
print("IntervalArray...\n",intervals)Check Intervals that share closed endpoints overlap or not. We have set closed on the left-side with the "left" value of the "closed" parameter −
print("\nDoes interval that share closed endpoints overlap or not...\n",intervals.overlaps(pd.Interval(15,28, closed='left')))Example
Following is the code −
import pandas as pd
# Two intervals overlap if they share a common point, including closed endpoints
# Create an IntervalArray
intervals = pd.arrays.IntervalArray.from_tuples([(10, 20), (15, 35)])
# Display the IntervalArray
print("IntervalArray...\n",intervals)
# Display the interval length
print("\nInterval length...\n",intervals.length)
# Check Intervals that share closed endpoints overlap or not
# We have set closed on the left-side with the "left" value of the "closed" parameter
print("\nDoes interval that share closed endpoints overlap or not...\n",intervals.overlaps(pd.Interval(15,28, closed='left')))Output
This will produce the following output −
IntervalArray... <IntervalArray> [(10, 20], (15, 35]] Length: 2, dtype: interval[int64, right] Interval length... Int64Index([10, 20], dtype='int64') Does interval that share closed endpoints overlap or not... [ True True]
Updated on: 19-Oct-2021
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