Python Pandas - 从元组数组构造 IntervalArray 并返回每个区间的左端点
要从类似数组的元组构造 IntervalArray,请使用 **pandas.arrays.IntervalArray.from_tuples()** 方法。要返回 IntervalArray 中每个区间的左端点,请使用 **array.left** 属性。
首先,导入所需的库:
import pandas as pd
从类似数组的元组构造一个新的 IntervalArray:
array = pd.arrays.IntervalArray.from_tuples([(10, 25),(15, 70)])
显示区间:
print("Our IntervalArray...\n",array)
获取左端点:
print("\nThe left endpoints of each Interval in the IntervalArray as an Index...\n", array.left)
示例
以下是代码:
import pandas as pd # Construct a new IntervalArray from an array-like of tuples array = pd.arrays.IntervalArray.from_tuples([(10, 25),(15, 70)]) # Display the IntervalArray print("Our 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) # midpoint of each Interval in the IntervalArray as an Index print("\nThe midpoint of each interval in the IntervalArray...\n",array.mid) # get the left endpoints print("\nThe left endpoints of each Interval in the IntervalArray as an Index...\n",array.left)
输出
这将产生以下代码:
Our IntervalArray... <IntervalArray> [(10, 25], (15, 70]] Length: 2, dtype: interval[int64, right] Our IntervalArray length... Int64Index([15, 55], dtype='int64') The midpoint of each interval in the IntervalArray... Float64Index([17.5, 42.5], dtype='float64') The left endpoints of each Interval in the IntervalArray as an Index... Int64Index([10, 15], dtype='int64')
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