Speeding up pandas profiling analysis using check_correlation?

user_10653199 0
Viewed 3829

Using pandas profiling to generate a report. the size of the dataset is very large to speed up the processing im trying to turn off correlations so i used check_correlations from another post I saw, ValueError: Config parameter "check_correlation" does not exist. is then the issue I get from using this line

a = prof.ProfileReport(df, title='Downloads', check_correlation=False)

which generates this issue of

ValueError: Config parameter "check_correlation" does not exist.

pandas-profiling pandas python
3 Answers

Since they have changed the configurations on version 2, you could use it as:

import pandas_profiling

profile = df.profile_report(check_correlation_pearson=False,
correlations={'pearson': False,
'spearman': False,
'kendall': False,
'phi_k': False,
'cramers': False,
'recoded': False})

to turn off correlations. However, it is still not as fast as version 1.4. You could also investigate other configurations here.

user_121938670

This way didn't work for me and I used:

a = prof.ProfileReport(df, title='Downloads', minimal=True)

user_126429280

Please, see this issue in pandas-profiling project.

user_19102420
Related