数据结构
网络
关系型数据库管理系统
操作系统
Java
MS Excel
iOS
HTML
CSS
Android
Python
C 编程
C++
C#
MongoDB
MySQL
Javascript
PHP
物理学
化学
生物学
数学
英语
经济学
心理学
社会学
时尚研究
法律研究Python Pandas IntervalArray - 检查共享闭合端点的区间是否重叠
要检查共享闭合端点的区间是否重叠，请在 Pandas 中使用 **IntervalArray.overlaps()** 方法。
首先，导入所需的库 -
import pandas as pd
如果两个区间共享一个公共点，包括闭合端点，则它们重叠。创建 IntervalArray
intervals = pd.arrays.IntervalArray.from_tuples([(10, 20), (15, 35)])
显示 IntervalArray -
print("IntervalArray...\n",intervals)检查共享闭合端点的区间是否重叠。我们使用 “closed” 参数的 “left” 值在左侧设置了闭合 -
print("\nDoes interval that share closed endpoints overlap or not...\n",intervals.overlaps(pd.Interval(15,28, closed='left')))示例
以下是代码 -
import pandas as pd
# Two intervals overlap if they share a common point, including closed endpoints
# Create an IntervalArray
intervals = pd.arrays.IntervalArray.from_tuples([(10, 20), (15, 35)])
# Display the IntervalArray
print("IntervalArray...\n",intervals)
# Display the interval length
print("\nInterval length...\n",intervals.length)
# Check Intervals that share closed endpoints overlap or not
# We have set closed on the left-side with the "left" value of the "closed" parameter
print("\nDoes interval that share closed endpoints overlap or not...\n",intervals.overlaps(pd.Interval(15,28, closed='left')))输出
这将产生以下输出 -
IntervalArray... <IntervalArray> [(10, 20], (15, 35]] Length: 2, dtype: interval[int64, right] Interval length... Int64Index([10, 20], dtype='int64') Does interval that share closed endpoints overlap or not... [ True True]
更新于: 2021-10-19
77 次浏览
广告