great_expectations.expectations.core.expect_table_row_count_to_be_between

Module Contents

Classes

ExpectTableRowCountToBeBetween(configuration: Optional[ExpectationConfiguration] = None)

Expect the number of rows to be between two values.

class great_expectations.expectations.core.expect_table_row_count_to_be_between.ExpectTableRowCountToBeBetween(configuration: Optional[ExpectationConfiguration] = None)

Bases: great_expectations.expectations.expectation.TableExpectation

Expect the number of rows to be between two values.

expect_table_row_count_to_be_between is a expectation, not a column_map_expectation or column_aggregate_expectation.

Keyword Arguments
  • min_value (int or None) – The minimum number of rows, inclusive.

  • max_value (int or None) – The maximum number of rows, inclusive.

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.

Returns

An ExpectationSuiteValidationResult

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

Notes

  • min_value and max_value are both inclusive.

  • If min_value is None, then max_value is treated as an upper bound, and the number of acceptable rows has no minimum.

  • If max_value is None, then min_value is treated as a lower bound, and the number of acceptable rows has no maximum.

See also

expect_table_row_count_to_equal

library_metadata
metric_dependencies = ['table.row_count']
success_keys = ['min_value', 'max_value']
default_kwarg_values
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.

Parameters

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

Returns

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)