Python Pandas - 计算两个 Index 对象的对称差异

要计算两个Index对象的对称差异，请使用Pandas中的index1.symmetric_difference(index2)方法。

首先，导入所需的库-

import pandas as pd

创建两个Pandas索引-

index1 = pd.Index([10, 20, 30, 40, 50]) index2 = pd.Index([40, 10, 60, 20, 55])

显示Pandasindex1和index2-

print("Pandas Index1...\n",index1) print("Pandas Index2...\n",index2)

执行对称差异-

res = index1.symmetric_difference(index2)

示例

以下是代码-

import pandas as pd #创建两个Pandas索引 index1 = pd.Index([10, 20, 30, 40, 50]) index2 = pd.Index([40, 10, 60, 20, 55]) #显示Pandasindex1和index2 print("Pandas Index1...\n",index1) print("Pandas Index2...\n",index2) #返回Index1和Index2中元素的数量 print("\nNumber of elements in index1...\n",index1.size) print("\nNumber of elements in index2...\n",index2.size) #执行对称差分 res = index1.symmetric_difference(index2) #两个指标的对称差异 print("\nThe index1 and index2 symmetric difference...\n",res)输出结果

这将产生以下输出-

Pandas Index1... Int64Index([10, 20, 30, 40, 50], dtype=int64) Pandas Index2... Int64Index([40, 10, 60, 20, 55], dtype=int64) Number of elements in index1... 5 Number of elements in index2... 5 The index1 and index2 symmetric difference... Int64Index([30, 50, 55, 60], dtype=int64)