Python Pandas - 创建一个带有原始索引和名称的 DataFrame
要使用原始索引和名称创建DataFrame，请使用Pandas中的方法。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')
显示熊猫指数-
print("Pandas Index...\n",index)将索引转换为DataFrame-
print("\nIndex to DataFrame...\n",index.to_frame())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)
#convertindextoDataFrame
print("\nIndex to DataFrame...\n",index.to_frame())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
Products
Electronics Electronics
Accessories Accessories
Decor Decor
Books Books
Toys Toys热门推荐
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