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

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]

type_date_alert(series)

rtype

bool

unsupported_alerts(summary)

rtype

List[Alert]

Classes

Alert(alert_type[, values, column_name, fields])

An alert object (type, values, column).

AlertType(value)

Alert types