pandas_profiling.model.alerts

Logic for alerting the user on possibly problematic patterns in the data (e.g. high number of zeros , constant values, high correlations).

Functions

alert_value(value)	rtype bool
boolean_alerts(config, summary)	rtype List[Alert]
categorical_alerts(config, summary)	rtype List[Alert]
check_correlation_alerts(config, correlations)	rtype List[Alert]
check_table_alerts(table)	Checks the overall dataset for alerts.
check_variable_alerts(config, col, description)	Checks individual variables for alerts.
generic_alerts(summary)	rtype List[Alert]
get_alerts(config, table_stats, ...)	rtype List[Alert]
numeric_alerts(config, summary)	rtype List[Alert]
skewness_alert(v, threshold)	rtype bool
supported_alerts(summary)	rtype List[Alert]
timeseries_alerts(config, summary)	rtype List[Alert]
type_date_alert(series)	rtype bool
unsupported_alerts(summary)	rtype List[Alert]

Classes

Alert(alert_type[, values, column_name, ...])	An alert object (type, values, column).
AlertType(value)	Alert types