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热门推荐
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