Python Pandas - Check if an Interval is closed on the right side

The closed_right property in Pandas allows you to check if an interval is closed on the right side. A right-closed interval includes its right endpoint but excludes the left endpoint, denoted as (a, b].

What is a Right-Closed Interval?

A right-closed interval (0, 20] includes all values where 0

Creating a Right-Closed Interval

First, import pandas and create an interval with closed='right' ?

import pandas as pd

# Create a right-closed interval (0, 20]
interval = pd.Interval(left=0, right=20, closed='right')
print("Interval:", interval)

Interval: (0, 20]

Checking if Interval is Right-Closed

Use the closed_right property to verify if the interval is closed on the right side ?

import pandas as pd

interval = pd.Interval(left=0, right=20, closed='right')

print("Is interval closed on right?", interval.closed_right)
print("Interval notation:", interval)

Is interval closed on right? True
Interval notation: (0, 20]

Testing Endpoint Membership

Let's verify which endpoints are included in the right-closed interval ?

import pandas as pd

interval = pd.Interval(left=0, right=20, closed='right')

print("Interval:", interval)
print("Left endpoint (0) included?", 0 in interval)
print("Right endpoint (20) included?", 20 in interval)
print("Value 10 included?", 10 in interval)

Interval: (0, 20]
Left endpoint (0) included? False
Right endpoint (20) included? True
Value 10 included? True

Comparing Different Interval Types

Conclusion

The closed_right property returns True when an interval is closed on the right side, meaning it includes the right endpoint. This is useful for determining interval boundaries and membership testing.