Python Pandas - 从 IntervalIndex 获取中点

要从IntervalIndex获取中点，请使用interval.midPandas中的属性。首先，导入所需的库-

import pandas as pd

创建间隔索引-

interval = pd.IntervalIndex.from_arrays([10, 15, 20], [20, 25, 30])

显示间隔-

print("IntervalIndex...\n",interval)

返回间隔的中点-

print("\nThe midpoint for the Interval...\n",interval.mid)

示例

以下是代码-

import pandas as pd #创建间隔索引 interval = pd.IntervalIndex.from_arrays([10, 15, 20], [20, 25, 30]) #显示间隔 print("IntervalIndex...\n",interval) #显示间隔 length print("\nIntervalIndex length...\n",interval.length) #检查IntervalIndex是否在左侧，右侧，两者都关闭或都不关闭 print("\nChecking for the type of IntervalIndex...\n",interval.closed) #左边界 print("\nThe left bound for the IntervalIndex...\n",interval.left) #正确的界限 print("\nThe right bound for the IntervalIndex...\n",interval.right) #返回区间的中点 print("\nThe midpoint for the Interval...\n",interval.mid)输出结果

这将产生以下输出-

IntervalIndex... IntervalIndex([(10, 20], (15, 25], (20, 30]], dtype=interval[int64, right]) IntervalIndex length... Int64Index([10, 10, 10], dtype=int64) Checking for the type of IntervalIndex... right The left bound for the IntervalIndex... Int64Index([10, 15, 20], dtype=int64) The right bound for the IntervalIndex... Int64Index([20, 25, 30], dtype=int64) The midpoint for the Interval... Float64Index([15.0, 20.0, 25.0], dtype=float64)