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lets have row in series in python containing values a, b, c, a. can apply count vectorizer count vectorizer return a -2, b-1, c-1. want following output a-1, b-1, c-1. should see present , return 1 it. how can that?

how can total number of unique values inside series. if second row has b, d. should return 4.

lets name of series df['a'].

1st row = a,b,c,a desired output-a,b,c

2nd row = b,d,b desired output-b,d

you can unique items of series by:

df['a'].unique() 

additionally, can use series.value_counts:

df['a'].value_counts() 

this return count of unique values in series.


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