great_expectations.expectations.core.expect_column_pair_cramers_phi_value_to_be_less_than

Module Contents

Classes

ExpectColumnPairCramersPhiValueToBeLessThan(configuration: Optional[ExpectationConfiguration] = None)

Base class for all Expectations.

class great_expectations.expectations.core.expect_column_pair_cramers_phi_value_to_be_less_than.ExpectColumnPairCramersPhiValueToBeLessThan(configuration: Optional[ExpectationConfiguration] = None)

Bases: great_expectations.expectations.expectation.TableExpectation

Base class for all Expectations.

Expectation classes must have the following attributes set:
  1. domain_keys: a tuple of the keys used to determine the domain of the expectation

  2. success_keys: a tuple of the keys used to determine the success of the expectation.

In some cases, subclasses of Expectation (such as TableExpectation) can inherit these properties from their parent class.

They may optionally override runtime_keys and default_kwarg_values, and may optionally set an explicit value for expectation_type.

  1. runtime_keys lists the keys that can be used to control output but will not affect the actual success value of the expectation (such as result_format).

  2. default_kwarg_values is a dictionary that will be used to fill unspecified kwargs from the Expectation Configuration.

Expectation classes must implement the following:
  1. _validate

  2. get_validation_dependencies

In some cases, subclasses of Expectation, such as ColumnMapExpectation will already have correct implementations that may simply be inherited.

Additionally, they may provide implementations of:
  1. validate_configuration, which should raise an error if the configuration will not be usable for the Expectation

  2. Data Docs rendering methods decorated with the @renderer decorator. See the

library_metadata
metric_dependencies
success_keys = ['column_A', 'column_B', 'threshold']
default_kwarg_values
classmethod _prescriptive_renderer(cls, configuration=None, result=None, language=None, runtime_configuration=None, **kwargs)
classmethod _diagnostic_observed_value_renderer(cls, configuration=None, result=None, language=None, runtime_configuration=None, **kwargs)