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法学Python Pandas - 检查 IntervalArray 中的区间是否在左侧、右侧、两侧或都不闭合
要检查 IntervalArray 中的区间是否在左侧、右侧、两侧或都不闭合，请使用 **array.closed** 属性。
首先，导入所需的库：
import pandas as pd
创建两个 Interval 对象。使用值为“both”的“closed”参数设置闭合区间。闭区间（在数学中用方括号表示）包含其端点，即闭区间 [0, 5] 的特征在于条件 0 <= x <= 5：
interval1 = pd.Interval(10, 25, closed='both') interval2 = pd.Interval(15, 70, closed='both')
显示区间：
print("Interval1...\n",interval1)
print("Interval2...\n",interval2)从 Interval 对象构造一个新的 IntervalArray：
array = pd.arrays.IntervalArray([interval1,interval2])
检查 IntervalArray 中的区间是否在左侧、右侧、两侧或都不闭合：
print("\nChecking whether the intervals is closed...\n",array.closed)示例
以下是代码：
import pandas as pd
# Create two Interval objects
# Closed intervals set using the "closed" parameter with value "both"
# A closed interval (in mathematics denoted by square brackets) contains its endpoints,
# i.e. the closed interval [0, 5] is characterized by the conditions 0 <= x <= 5
interval1 = pd.Interval(10, 25, closed='both')
interval2 = pd.Interval(15, 70, closed='both')
# display the intervals
print("Interval1...\n",interval1)
print("Interval2...\n",interval2)
# Construct a new IntervalArray from Interval objects
array = pd.arrays.IntervalArray([interval1,interval2])
# Display the IntervalArray
print("\nOur IntervalArray...\n",array)
# Getting the length of IntervalArray
# Returns an Index with entries denoting the length of each Interval in the IntervalArray
print("\nOur IntervalArray length...\n",array.length)
# check whether the intervals in the Interval Array is closed on the left-side, right-side,
# both or neither
print("\nChecking whether the intervals is closed...\n",array.closed)输出
这将产生以下代码：
Interval1... [10, 25] Interval2... [15, 70] Our IntervalArray... <IntervalArray> [[10, 25], [15, 70]] Length: 2, dtype: interval[int64, both] Our IntervalArray length... Int64Index([15, 55], dtype='int64') Checking whether the intervals is closed... Both
更新于：2021年10月12日
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