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Python Pandas - Create an open time interval and check for existence of both the endpoints
To create an open time interval in Pandas, use pd.Interval() with the closed parameter set to "neither". An open interval excludes both endpoints, meaning it contains all values between the boundaries but not the boundaries themselves.
Creating an Open Interval
An open interval uses parentheses notation (0, 20) and represents the mathematical condition 0 < x < 20 ?
import pandas as pd
# Create an open interval that excludes both endpoints
interval = pd.Interval(left=0, right=20, closed='neither')
print("Interval:", interval)
print("Interval length:", interval.length)
Interval: (0, 20) Interval length: 20
Checking Endpoint Existence
Use the in operator to verify that endpoints are excluded from the open interval ?
import pandas as pd
interval = pd.Interval(left=0, right=20, closed='neither')
print("Left endpoint (0) in interval:", 0 in interval)
print("Right endpoint (20) in interval:", 20 in interval)
print("Value inside interval (10) in interval:", 10 in interval)
Left endpoint (0) in interval: False Right endpoint (20) in interval: False Value inside interval (10) in interval: True
Comparison of Interval Types
| Closed Parameter | Notation | Includes Left | Includes Right |
|---|---|---|---|
| 'both' | [0, 20] | Yes | Yes |
| 'left' | [0, 20) | Yes | No |
| 'right' | (0, 20] | No | Yes |
| 'neither' | (0, 20) | No | No |
Complete Example
import pandas as pd
# Create different interval types for comparison
open_interval = pd.Interval(0, 20, closed='neither')
closed_interval = pd.Interval(0, 20, closed='both')
print("Open interval:", open_interval)
print("Closed interval:", closed_interval)
# Test endpoint inclusion
print("\nOpen interval contains 0:", 0 in open_interval)
print("Closed interval contains 0:", 0 in closed_interval)
print("Open interval contains 20:", 20 in open_interval)
print("Closed interval contains 20:", 20 in closed_interval)
Open interval: (0, 20) Closed interval: [0, 20] Open interval contains 0: False Closed interval contains 0: True Open interval contains 20: False Closed interval contains 20: True
Conclusion
Use pd.Interval(closed='neither') to create open intervals that exclude both endpoints. The in operator confirms that boundary values are not included in the interval.
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