great_expectations.expectations.core.expect_column_pair_values_to_be_equal

Module Contents

Classes

ExpectColumnPairValuesToBeEqual(configuration: Optional[ExpectationConfiguration] = None)

Expect the values in column A to be the same as column B.

class great_expectations.expectations.core.expect_column_pair_values_to_be_equal.ExpectColumnPairValuesToBeEqual(configuration: Optional[ExpectationConfiguration] = None)

Bases: great_expectations.expectations.expectation.ColumnPairMapExpectation

Expect the values in column A to be the same as column B.

Parameters
  • column_A (str) – The first column name

  • column_B (str) – The second column name

Keyword Arguments

ignore_row_if (str) – “both_values_are_missing”, “either_value_is_missing”, “neither”

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

  • include_config (boolean) – If True, then include the expectation config as part of the result object. catch_exceptions (boolean or None): If True, then catch exceptions and include them as part of the result object. meta (dict or None): A JSON-serializable dictionary (nesting allowed) that will be included in the output without modification.

Returns

An ExpectationSuiteValidationResult

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

library_metadata
map_metric = column_pair_values.equal
success_keys = ['column_A', 'column_B', 'ignore_row_if', 'mostly']
default_kwarg_values
validate_configuration(self, configuration: Optional[ExpectationConfiguration])
classmethod _prescriptive_renderer(cls, configuration=None, result=None, language=None, runtime_configuration=None, **kwargs)