Python Pandas - 检查两个索引对象是否有相似的对象属性和类型
要检查两个索引对象是否具有相似的对象属性和类型,请使用 index1.identical(index2) 方法。
首先,导入所需的库 -
import pandas as pd
创建 Pandas 索引 1 和索引 2 −
index1 = pd.Index([15, 25, 35, 45, 55]) index2 = pd.Index([15, 25, 35, 45, 55])
显示索引 1 和索引 2 -
print("Pandas Index1...\n",index1) print("Pandas Index2...\n",index2)
检查两个索引对象是否具有相似属性和类型 -
print("\nThe two Index objects have similar attributes and types?" "\n",index1.identical(index2))
示例
以下是代码 -
import pandas as pd # Creating Pandas index1 and index2 index1 = pd.Index([15, 25, 35, 45, 55]) index2 = pd.Index([15, 25, 35, 45, 55]) # Display the index1 and index2 print("Pandas Index1...\n",index1) print("Pandas Index2...\n",index2) print("\nThe two Index objects have similar attributes and types?" "\n",index1.identical(index2))
输出
这将产生以下输出 -
Pandas Index1... Int64Index([15, 25, 35, 45, 55], dtype='int64') Pandas Index2... Int64Index([15, 25, 35, 45, 55], dtype='int64') The two Index objects have similar attributes and types? True
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