I have a dataframe that I have grouped with textbook ISBN and I the schools, state and grades that those books are used in. I want to remove the duplicates within the lists of the dataframe. I have tried the following steps within the screenshots for the state column as a test but Im not sure if its a list or a dataframe or a series as I tried number of code to see if any will work. Was wondering if someone can explain the structure of these "list" within a dataframe and any code to drop the duplicates.step1step2step3step4
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The
df['State']
is a<class 'pandas.core.series.Series'>
data type. But, each element of this series is a list, as you converted it during aggregation. Therefore, when you.apply()
thelambda
on thedf['State']
, it sees eachx
as a list.You can
.apply()
thelambda x: list(set(x))))
instead oflambda x: x.drop_duplicates()
. It will do the same job - removing duplicates.Sample example:
Output: