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法学Python Pandas - 将 IntervalArray 中每个 Interval 的右端点返回为一个 Index
要将 IntervalArray 中每个 Interval 的右端点返回为一个 Index，请使用**array.right** 属性。
首先，导入所需的库 −
import pandas as pd
创建两个 Interval 对象 −
interval1 = pd.Interval(10, 25) interval2 = pd.Interval(15, 70)
显示这些区间 −
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])
获取右端点 −
print("\nThe right endpoints of each Interval in the IntervalArray as an Index...\n",array.right)示例
以下为代码 −
import pandas as pd
# Create two Interval objects
interval1 = pd.Interval(10, 25)
interval2 = pd.Interval(15, 70)
# 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)
# get the right endpoints
print("\nThe right endpoints of each Interval in the IntervalArray as an Index...\n", array.right)
输出
这将生成以下代码 −
Interval1... (10, 25] Interval2... (15, 70] Our IntervalArray... <IntervalArray> [(10, 25], (15, 70]] Length: 2, dtype: interval[int64, right] Our IntervalArray length... Int64Index([15, 55], dtype='int64') The right endpoints of each Interval in the IntervalArray as an Index... Int64Index([25, 70], dtype='int64')
更新时间：2021-10-12
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