Python Pandas - 替换条件为 False 的索引值
要替换条件为False的索引值，请使用Pandas中的方法。首先，导入所需的库-index.isin()
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)替换条件为False的值。在这里，除了“装饰”之外，所有其他元素都会被替换-
print("\nReplace index vales where condition is False...\n",index.where(index.isin(['Decor']), 'Miscellaneous'))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)
#replacevalueswhereconditionisFalse
# Here, except the 'Decor', every other element gets replaced
print("\nReplace index vales where condition is False...\n",index.where(index.isin(['Decor']), 'Miscellaneous'))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 Replace index vales where condition is False... Index(['Miscellaneous', 'Miscellaneous', 'Decor', 'Miscellaneous','Miscellaneous'],dtype='object', name='Products')