Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
-
Economics & Finance
Selected Reading
Python Pandas - Create a closed time interval and check for existence of both the endpoints
To create a closed time interval in Pandas, use the pandas.Interval() constructor with the closed='both' parameter. A closed interval contains its endpoints, meaning both boundary values are included in the interval.
Creating a Closed Interval
First, import the required library ?
import pandas as pd
Create a closed interval using the closed='both' parameter ?
import pandas as pd
# Create a closed interval from 0 to 20
interval = pd.Interval(left=0, right=20, closed='both')
# Display the interval
print("Interval...")
print(interval)
# Display the interval length
print("\nInterval length:")
print(interval.length)
Interval... [0, 20] Interval length: 20
Checking Endpoint Existence
Use the in operator to check if endpoints exist in the interval ?
import pandas as pd
interval = pd.Interval(left=0, right=20, closed='both')
# Check for existence of endpoints
print("Left endpoint (0) exists in interval?", 0 in interval)
print("Right endpoint (20) exists in interval?", 20 in interval)
# Check for values inside and outside the interval
print("Value 10 exists in interval?", 10 in interval)
print("Value 25 exists in interval?", 25 in interval)
Left endpoint (0) exists in interval? True Right endpoint (20) exists in interval? True Value 10 exists in interval? True Value 25 exists in interval? False
Interval Types Comparison
| Closed Parameter | Mathematical 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 types of intervals
closed_both = pd.Interval(0, 20, closed='both')
closed_left = pd.Interval(0, 20, closed='left')
print("Closed interval (both endpoints):", closed_both)
print("Left-closed interval:", closed_left)
print("\nTesting endpoint 0:")
print("In closed_both:", 0 in closed_both)
print("In closed_left:", 0 in closed_left)
print("\nTesting endpoint 20:")
print("In closed_both:", 20 in closed_both)
print("In closed_left:", 20 in closed_left)
Closed interval (both endpoints): [0, 20] Left-closed interval: [0, 20) Testing endpoint 0: In closed_both: True In closed_left: True Testing endpoint 20: In closed_both: True In closed_left: False
Conclusion
Use pd.Interval() with closed='both' to create intervals that include both endpoints. The in operator efficiently checks element existence within the interval boundaries.
Advertisements
