great_expectations.expectations.core.expect_multicolumn_values_to_be_unique

Module Contents

Classes

ExpectMulticolumnValuesToBeUnique(configuration: Optional[ExpectationConfiguration] = None)

Expect that the columns are unique together, e.g. a multi-column primary key

class great_expectations.expectations.core.expect_multicolumn_values_to_be_unique.ExpectMulticolumnValuesToBeUnique(configuration: Optional[ExpectationConfiguration] = None)

Bases: great_expectations.expectations.expectation.ColumnMapExpectation

Expect that the columns are unique together, e.g. a multi-column primary key Note that all instances of any duplicates are considered failed

For example:

A B C
1 1 2 Fail
1 2 3 Pass
1 1 2 Fail
2 2 2 Pass
3 2 3 Pass
Parameters

column_list (tuple or list) – The column names to evaluate

Keyword Arguments

ignore_row_if (str) – “all_values_are_missing”, “any_value_is_missing”, “never”

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

library_metadata
metric_dependencies
success_keys = ['column_list', 'ignore_row_if', 'mostly']
default_kwarg_values
classmethod _prescriptive_renderer(cls, configuration=None, result=None, language=None, runtime_configuration=None, **kwargs)