There is a Pandas dataframe: userId movieId rating timestamp 0 1 31 2.5 1260759144 1 1 1029 3.0 1260759179 2 1 1061 3.0 1260759182 3 1 1129 2.0 1260759185 4 1 1172 4.0 1260759205 leave in this dataframe only users who have 100 or more values in the "rating" column

#leave the users who rated more than 100 films
ratings_df = ratings_df.groupby("userId").filter(lambda x: x["rating"].count() > 100)

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