great_expectations.expectations.core.expect_table_column_count_to_equal

Module Contents

Classes

ExpectTableColumnCountToEqual(configuration: Optional[ExpectationConfiguration] = None)

Expect the number of columns to equal a value.

class great_expectations.expectations.core.expect_table_column_count_to_equal.ExpectTableColumnCountToEqual(configuration: Optional[ExpectationConfiguration] = None)

Bases: great_expectations.expectations.expectation.TableExpectation

Expect the number of columns to equal a value.

expect_table_column_count_to_equal is a [Table Expectation](https://docs.greatexpectations.io/docs/guides/expectations/creating_custom_expectations/how_to_create_custom_table_expectations).

Parameters

value (int) – The expected number of columns.

Other Parameters
Returns

//docs.greatexpectations.io/docs/terms/validation_result)

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

Return type

An [ExpectationSuiteValidationResult](https

See also

[expect_table_column_count_to_be_between](https://greatexpectations.io/expectations/expect_table_column_count_to_be_between)

library_metadata
metric_dependencies = ['table.column_count']
success_keys = ['value']
default_kwarg_values
args_keys = ['value']

A Metric Decorator for the Column Count

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

None. Raises InvalidExpectationConfigurationError if the config is not validated successfully

classmethod _atomic_prescriptive_template(cls, configuration: Optional[ExpectationConfiguration] = None, result: Optional[ExpectationValidationResult] = None, runtime_configuration: Optional[dict] = None, **kwargs)

Template function that contains the logic that is shared by AtomicPrescriptiveRendererType.SUMMARY and LegacyRendererType.PRESCRIPTIVE.

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