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Right now, I can only profile dataframes that exist in memory, however I would like to be able to track any expression that returns a dataframe
list_of_dfs = [] for i in range(4): df_part_a = ... df_part_b = ... df_part_c = ... list_of_dfs.append(pd.concat([df_part_a, df_part_b, df_part_c]))
I want to track list_of_dfs[0] but this is impossible for now
list_of_dfs[0]
The text was updated successfully, but these errors were encountered:
One potential design is to have API in notebook like below
import digautoprofile digautoprofile.track(list_of_dfs[0])
and then at each timestep it evaluates this expression and shows a profile.
A couple of tricky cases
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Right now, I can only profile dataframes that exist in memory, however I would like to be able to track any expression that returns a dataframe
Example:
I want to track
list_of_dfs[0]
but this is impossible for nowThe text was updated successfully, but these errors were encountered: