python pandas loc - 过滤值列表

Question

这应该是非常容易的,但我不能让它工作.

我想在两个值上过滤我的数据集.

#this works, when I filter for one value
df.loc[df['channel'] == 'sale'] 

#if I have to filter, two separate columns, I can do this
df.loc[(df['channel'] == 'sale')&(df['type']=='A')] 

#but what if I want to filter one column by more than one value?
df.loc[df['channel'] == ('sale','fullprice')] 

这必须是一个OR声明吗？我可以在SQL中使用吗？

Answer 1

有一种df.isin(values)方法可以测试是否DataFrame包含其中的每个元素values.所以,正如@MaxU在评论中所写,你可以使用

df.loc[df['channel'].isin(['sale','fullprice'])]

按多个值过滤一列.