Python Pandas – 检查共享封闭端点的两个 Interval 对象是否重叠

在本文中，我们将介绍如何检查具有共享端点的两个区间是否重叠。为此，我们使用 pandas 的 Interval 类和所有与间隔相关的操作的重叠（）方法。

Syntax: Interval.overlaps()

parameters:

• other : interval object. Check for an overlap using this interval.

Returns : bool . returns true if two intervals overlap. else it returns false.

逐步实施

第1步：

导入所有需要的库。

import pandas

第2步：

创建共享封闭端点的两个区间

pd.Interval(1,5, closed =both")
pd.Interval(5,10, closed="both")

第 3 步：

使用overlaps() 方法检查间隔是否重叠。它返回一个布尔值。

IsOverlap = Interval1.overlaps(Interval2)

代码实现

示例 1：创建并检查共享闭合端点的两个区间是否重叠。

Python3

# importing pandas library
import pandas as pd
  
# Creating two closed intervals that
# share the endpoint
Interval1 = pd.Interval(1, 5, closed='both')
Interval2 = pd.Interval(5, 10, closed='both')
  
# printing the intervals
print("Interval1 :", Interval1)
print("Interval2 :", Interval2)
  
# display the length of both Interval1
# and Interval2 objects
print("\nInterval1 object length = ", Interval1.length)
print("\nInterval2 object length = ", Interval2.length)
  
# Check whether both the intervals overlap
print("do the intervals overlap ? :", Interval1.overlaps(Interval2))

输出：

示例 2：创建并检查共享闭合端点的区间数组是否与给定区间重叠 [3,16]。

Python3

# importing pandas library
import pandas as pd
Intervals = pd.arrays.IntervalArray.from_tuples(
    [(1, 6), (6, 10), (10, 15), (20, 25)], closed="both")
  
# Display the IntervalArray
print("Intervals_array", Intervals)
  
# check if the given intervals overlap with [3,16]
print(Intervals.overlaps(pd.Interval(3, 16, closed='both')))

输出：