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法律研究在 Python Pandas 中逐个检查区间是否与 IntervalArray 中的值重叠
如果要逐个检查区间是否与 IntervalArray 中的值重叠，请在 Pandas 中使用 overlaps() 方法。
首先，导入必需的库 −
import pandas as pd
如果两区间共享一个公共点（包括闭合端点），则重叠。只在公共点处有开端点的区间不重叠。创建一个 IntervalArray −
intervals = pd.arrays.IntervalArray.from_tuples([(10, 20), (15, 35)])
显示 IntervalArray −
print("IntervalArray...\n",intervals)逐个检查区间是否与 IntervalArray 中的值重叠 −
print("\nDoes interval overlaps values in the IntervalArray...\n",intervals.overlaps(pd.Interval(12, 30)))示例
以下是代码 −
import pandas as pd
# Two intervals overlap if they share a common point, including closed endpoints. Intervals
# that only have an open endpoint in common do not overlap
# Create an IntervalArray
intervals = pd.arrays.IntervalArray.from_tuples([(10, 20), (15, 35)])
# Display the IntervalArray
print("IntervalArray...\n",intervals)
# Display the interval length
print("\nInterval length...\n",intervals.length)
# Check elementwise if an Interval overlaps the values in the IntervalArray
print("\nDoes interval overlaps values in the IntervalArray...\n",intervals.overlaps(pd.Interval(12, 30)))输出
这将产生以下输出 −
IntervalArray... <IntervalArray> [(10, 20], (15, 35]] Length: 2, dtype: interval[int64, right] Interval length... Int64Index([10, 20], dtype='int64') Does interval overlaps values in the IntervalArray... [ True True]
更新于： 19-Oct-2021
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