Python Pandas - 形成具有不同数据类型的两个 Index 对象的联合

要形成具有不同数据类型的两个Index对象的Union，请使用Pandas中的index1.union(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([p,q, r, s, t,u])

显示Pandasindex1和index2-

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

执行不匹配数据类型的并集-

res = index1.union(index2)

示例

以下是代码-

import pandas as pd #CreatingtwoPandasindex index1 = pd.Index([10, 20, 30, 40, 50]) index2 = pd.Index([p,q, r, s, t,u]) #DisplaythePandasindex1andindex2 print("Pandas Index1...\n",index1) print("Pandas Index2...\n",index2) #ReturnthenumberofelementsinIndex1andIndex2 print("\nNumber of elements in index1...\n",index1.size) print("\nNumber of elements in index2...\n",index2.size) #Performunionofmismatcheddatatypes res = index1.union(index2) #Unionofboththeindexes print("\nThe index1 and index2 Union...\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... Index([p, q, r, s, t, u], dtype=object) Number of elements in index1... 5 Number of elements in index2... 6 The index1 and index2 Union... Index([10, 20, 30, 40, 50, p, q, r, s, t, u], dtype=object)