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')