great_expectations.expectations.metrics.column_aggregate_metrics.column_standard_deviation

Module Contents

Classes

ColumnStandardDeviation()

MetricProvider Class for Aggregate Standard Deviation metric

great_expectations.expectations.metrics.column_aggregate_metrics.column_standard_deviation.logger

class great_expectations.expectations.metrics.column_aggregate_metrics.column_standard_deviation.ColumnStandardDeviation

Bases: great_expectations.expectations.metrics.column_aggregate_metric_provider.ColumnAggregateMetricProvider

MetricProvider Class for Aggregate Standard Deviation metric

metric_name = column.standard_deviation

_pandas(cls, column, **kwargs)

Pandas Standard Deviation implementation

_sqlalchemy(cls, column, _dialect, _metrics, **kwargs)

SqlAlchemy Standard Deviation implementation

_spark(cls, column, **kwargs)

Spark Standard Deviation implementation

classmethod _get_evaluation_dependencies(cls, metric: MetricConfiguration, configuration: Optional[ExpectationConfiguration] = None, execution_engine: Optional[ExecutionEngine] = None, runtime_configuration: Optional[dict] = None)

Returns a dictionary of given metric names and their corresponding configuration, specifying the metric types and their respective domains