Module Contents


ExpectColumnMedianToBeBetween(configuration: Optional[ExpectationConfiguration] = None)

Expect the column median to be between a minimum value and a maximum value.

class great_expectations.expectations.core.expect_column_median_to_be_between.ExpectColumnMedianToBeBetween(configuration: Optional[ExpectationConfiguration] = None)

Bases: great_expectations.expectations.expectation.ColumnExpectation

Expect the column median to be between a minimum value and a maximum value.

expect_column_median_to_be_between is a column_aggregate_expectation.

  • column (str) – The column name.

  • min_value (int or None) – The minimum value for the column median.

  • max_value (int or None) – The maximum value for the column median.

  • strict_min (boolean) – If True, the column median must be strictly larger than min_value, default=False

  • strict_max (boolean) – If True, the column median must be strictly smaller than max_value, default=False

Other Parameters
  • result_format (str or None) – Which output mode to use: BOOLEAN_ONLY, BASIC, COMPLETE, or SUMMARY. For more detail, see result_format.

  • include_config (boolean) – If True, then include the expectation config as part of the result object. For more detail, see include_config.

  • catch_exceptions (boolean or None) – If True, then catch exceptions and include them as part of the result object. For more detail, see catch_exceptions.

  • meta (dict or None) – A JSON-serializable dictionary (nesting allowed) that will be included in the output without modification. For more detail, see meta.


An ExpectationSuiteValidationResult

Exact fields vary depending on the values passed to result_format and include_config, catch_exceptions, and meta.


These fields in the result object are customized for this expectation:

    "observed_value": (float) The true median for the column
  • min_value and max_value are both inclusive unless strict_min or strict_max are set to True.

  • If min_value is None, then max_value is treated as an upper bound

  • If max_value is None, then min_value is treated as a lower bound

See also



metric_dependencies = ['column.median']
success_keys = ['min_value', 'strict_min', 'max_value', 'strict_max']
validate_configuration(self, configuration: Optional[ExpectationConfiguration])

Validates that a configuration has been set, and sets a configuration if it has yet to be set. Ensures that necessary configuration arguments have been provided for the validation of the expectation.


configuration (OPTIONAL[ExpectationConfiguration]) – An optional Expectation Configuration entry that will be used to configure the expectation


True if the configuration has been validated successfully. Otherwise, raises an exception

classmethod _prescriptive_renderer(cls, configuration=None, result=None, language=None, runtime_configuration=None, **kwargs)
_validate(self, configuration: ExpectationConfiguration, metrics: Dict, runtime_configuration: dict = None, execution_engine: ExecutionEngine = None)