Python Pandas - 从原始索引创建 DataFrame 但强制执行新索引

要从原始索引创建DataFrame但强制执行新索引，请使用.将参数索引设置为False。index.to_frame()

首先，导入所需的库-

import pandas as pd

创建熊猫索引-

index = pd.Index([Electronics,Accessories,Decor, Books, Toys],name =Products)

显示Pandas索引

print("Pandas Index...\n",index)

强制执行新索引并将索引转换为DataFrame。在这里，实际索引被另一个索引替换-

print("\nIndex to DataFrame...\n",index.to_frame(index=False))

示例

以下是代码-

import pandas as pd #CreatingPandasindex index = pd.Index([Electronics,Accessories,Decor, Books, Toys],name =Products) #DisplaythePandasindex print("Pandas Index...\n",index) #ReturnthenumberofelementsintheIndex print("\nNumber of elements in the index...\n",index.size) #Returnthedtypeofthedata print("\nThe dtype object...\n",index.dtype) #EnforcenewindexandconvertindextoDataFrame #Here,theactualindexgetsreplacedbyanotherindex print("\nIndex to DataFrame...\n",index.to_frame(index=False))输出结果

这将产生以下输出-

Pandas Index... Index([Electronics, Accessories, Decor, Books, Toys], dtype=object, name=Products) Number of elements in the index... 5 The dtype object... object Index to DataFrame... Products 0 Electronics 1 Accessories 2 Decor 3 Books 4 Toys