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')