python pandas loc - filter for list of values -

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this question has answer here:

this should incredibly easy, can't work.

i want filter dataset on 2 values. 

#this works, when filter 1 value df.loc[df['channel'] == 'sale']   #if have filter, 2 separate columns, can df.loc[(df['channel'] == 'sale')&(df['type]=='a')]   #but if want filter 1 column more 1 value? df.loc[df['channel'] == ('sale','fullprice')]

would have or statement? can in sql using in?

there exists df.isin(values) method tests whether each element in dataframe contained in values. so, @maxu wrote in comment, can use 

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

to filter 1 column multiple values.





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