Python Pandas - 检查 Pandas 索引是否包含 Interval 对象

要检查Pandas索引是否包含Interval对象，请使用Pandas中的方法。index.is_interval()

首先，导入所需的库——

import pandas as pd

创建间隔对象-

interval1 = pd.Interval(10, 30) interval2 = pd.Interval(30, 50)

显示间隔-

print("Interval1...\n",interval1) print("Interval2...\n",interval2)

使用Intervalobject1和2创建Pandas索引-

index = pd.Index([interval1,interval2])

检查索引值是否只有区间对象-

print("\nDoes Index consists of Interval objects?\n", index.is_interval())

示例

以下是代码-

import pandas as pd #创建区间对象 interval1 = pd.Interval(10, 30) interval2 = pd.Interval(30, 50) #显示间隔 print("Interval1...\n",interval1) print("Interval2...\n",interval2) #使用Intervalobject1和2创建Pandas索引 index = pd.Index([interval1,interval2]) #显示Pandas索引 print("\nPandas Index...\n",index) #返回数据的dtype print("\nThe dtype object...\n",index.dtype) #检查索引值是否只有整数 print("\nDoes Index consists of Interval objects?\n", index.is_interval())输出结果

这将产生以下输出-

Interval1... (10, 30] Interval2... (30, 50] Pandas Index... IntervalIndex([(10, 30], (30, 50]], dtype=interval[int64, right]) The dtype object... interval[int64, right] Does Index consists of Interval objects? True