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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.
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Interactions. The interactions section of the report allows you to plot one variable against another in order to understand how they relate to each other. Interactions section of the pandas-profiling report.
Pandas profiling is a Python library that performs an automated Exploratory Data Analysis. It automatically generates a dataset profile report that gives valuable insights. For example, we can know which variables to use and which ones we can drop using the profile report.
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.
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