pandas_profiling.model.correlations

Correlations between variables.

Functions

`calculate_correlation`(config, df, ...)	Calculate the correlation coefficients between variables for the correlation types selected in the config (pearson, spearman, kendall, phi_k, cramers).
`get_active_correlations`(config)	rtype `List`[`str`]
`perform_check_correlation`(...)	Check whether selected variables are highly correlated values in the correlation matrix.
`warn_correlation`(correlation_name, error)	rtype `None`

Classes