Check Overlapping Intervals in Pandas IntervalArray

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]