great_expectations.expectations.core.expect_column_values_to_not_match_like_pattern_list

Module Contents

Classes

ExpectColumnValuesToNotMatchLikePatternList(configuration: Optional[ExpectationConfiguration] = None)

Expect the column entries to be strings that do NOT match any of a provided list of like pattern expressions.

class great_expectations.expectations.core.expect_column_values_to_not_match_like_pattern_list.ExpectColumnValuesToNotMatchLikePatternList(configuration: Optional[ExpectationConfiguration] = None)

Bases: great_expectations.expectations.expectation.ColumnMapExpectation

Expect the column entries to be strings that do NOT match any of a provided list of like pattern expressions.

expect_column_values_to_not_match_like_pattern_list is a [Column Map Expectation](https://docs.greatexpectations.io/docs/guides/expectations/creating_custom_expectations/how_to_create_custom_column_map_expectations).

Parameters
  • column (str) – The column name.

  • like_pattern_list (List[str]) – The list of like pattern expressions the column entries should NOT match.

Keyword Arguments

mostly (None or a float between 0 and 1) – Successful if at least mostly fraction of values match the expectation. For more detail, see [mostly](https://docs.greatexpectations.io/docs/reference/expectations/standard_arguments/#mostly).

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

library_metadata
map_metric = column_values.not_match_like_pattern_list
success_keys = ['like_pattern_list', 'mostly']
default_kwarg_values
args_keys = ['column', 'like_pattern_list']
validate_configuration(self, configuration: Optional[ExpectationConfiguration])
classmethod _prescriptive_renderer(cls, configuration: Optional[ExpectationConfiguration] = None, result: Optional[ExpectationValidationResult] = None, runtime_configuration: Optional[dict] = None, **kwargs)