Python Pandas – 检查两个共享封闭端点的Interval对象是否重叠

在这篇文章中，我们将介绍如何检查两个共享端点的区间是否重叠。为此，我们使用pandas的区间类和overlaps()方法进行所有与区间相关的操作。

语法:

Interval.overlaps()

参数:

• other : 区间对象。使用这个区间检查是否有重叠。

返回：bool .如果两个区间重叠，则返回真，否则返回假。

一步一步实现

Step 1:

导入所有需要的库。

import pandas

Step 2:

创建两个共享封闭端点的区间

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

Step 3:

使用overlaps()方法检查区间是否重叠。它返回一个bool。

IsOverlap = Interval1.overlaps(Interval2)

代码实现

例子1：创建，然后检查两个共享封闭端点的区间是否重叠。

# 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 :

例子2：创建并检查共享封闭端点的区间阵列是否与给定的区间[3,16]重叠。

# 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: