Pandas best way to subset a dataframe inplace, using a mask

Question

I have a pandas dataset that I want to downsize (remove all values under x).

The mask is df[my_column] > 50

I would typically just use

Answer 1

I think this works. Maybe there are better ways?

df = df.drop(df[df.my_column < 50].index)

Answer 2

You are missing the inplace parameter :

df.drop(df[df.my_column < 50].index, inplace = True)