Python Pandas - 从一个分割数组创建一个 IntervalArray 并检查间隔在左侧或右侧关闭，两者都关闭
要从拆分数组创建IntervalArray，请使用pandas.arrays。.IntervalArray.from_breaks()
要检查间隔在左侧或右侧关闭，两者都关闭，或两者都不关闭，请使用该array.closed属性。
首先，导入所需的库-
import pandas as pd
从类似数组的拆分构造一个新的IntervalArray。默认情况下，间隔在“右侧”关闭-
array = pd.arrays.IntervalArray.from_breaks([0, 1, 2, 3, 4, 5])
显示间隔-
print("Our IntervalArray...\n",array)检查IntervalArray中的区间是否在左侧、右侧、两者或两者都不闭合-
print("\nChecking whether the intervals is closed...\n",array.closed)示例
以下是代码-
import pandas as pd
#从类似数组的拆分构造一个新的IntervalArray
# the intervals are closed on the "right" by default
array = pd.arrays.IntervalArray.from_breaks([0, 1, 2, 3, 4, 5])
#显示间隔数组
print("Our IntervalArray...\n",array)
#获取IntervalArray的长度
#返回一个索引，其中的条目表示IntervalArray中每个Interval的长度
print("\nOur IntervalArray length...\n",array.length)
#IntervalArray中每个Interval的中点作为索引
print("\nThe midpoint of each interval in the IntervalArray...\n",array.mid)
#获得正确的端点
print("\nThe right endpoints of each Interval in the IntervalArray as an Index...\n",array.right)
#检查IntervalArray中的区间是否在左侧、右侧、
#两者兼而有之
print("\nChecking whether the intervals is closed...\n",array.closed)输出结果这将产生以下代码-
Our IntervalArray... <IntervalArray> [(0, 1], (1, 2], (2, 3], (3, 4], (4, 5]] Length: 5, dtype: interval[int64, right] Our IntervalArray length... Int64Index([1, 1, 1, 1, 1], dtype='int64') The midpoint of each interval in the IntervalArray... Float64Index([0.5, 1.5, 2.5, 3.5, 4.5], dtype='float64') The right endpoints of each Interval in the IntervalArray as an Index... Int64Index([1, 2, 3, 4, 5], dtype='int64') Checking whether the intervals is closed... Right