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')