How to group by user id to a specific row?

Question

I am trying to select the unique user id that is going to a specific user.

let's say I want it to be 200,000 rows from 10M rows. I want only only 1500 unique user id with around 200,000 rows(the rows does not need to be specific a few thousands is okay). Each user has multiple ratings.

Here's the dataset link.

How I load the data.

names = ['user_id', 'movie_id', 'rating', 'timestamp']
df = pd.read_csv('ratings.csv', sep='::', names=names)
print(df)

Is there any way to group it like that with pandas?

Answer 1

I can't believe I spent so much time on this, but there was a overflow-y:scroll property on the parent container of the component the router-link was in, i'm not sure why taking this off made it work , it broke something else completely unrelated, but thats another question.