great_expectations.expectations.metrics.column_aggregate_metrics.column_median
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Module Contents¶
Classes¶
MetricProvider Class for Aggregate Mean MetricProvider |
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class
great_expectations.expectations.metrics.column_aggregate_metrics.column_median.
ColumnMedian
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MetricProvider Class for Aggregate Mean MetricProvider
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metric_name
= column.median¶
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_pandas
(cls, column, **kwargs)¶ Pandas Median Implementation
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_sqlalchemy
(cls, execution_engine: SqlAlchemyExecutionEngine, metric_domain_kwargs: dict, metric_value_kwargs: dict, metrics: Dict[str, Any], runtime_configuration: dict)¶
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_spark
(cls, execution_engine: SparkDFExecutionEngine, metric_domain_kwargs: dict, metric_value_kwargs: dict, metrics: Dict[str, Any], runtime_configuration: dict)¶
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classmethod
_get_evaluation_dependencies
(cls, metric: MetricConfiguration, configuration: Optional[ExpectationConfiguration] = None, execution_engine: Optional[ExecutionEngine] = None, runtime_configuration: Optional[dict] = None)¶ This should return a dictionary: {
“dependency_name”: MetricConfiguration, …
}
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