IsSingleValue#

class IsSingleValue[source]#

Check if there are columns which have only a single unique value in all rows.

Parameters
columnsUnion[Hashable, List[Hashable]] , default: None

Columns to check, if none are given checks all columns except ignored ones.

ignore_columnsUnion[Hashable, List[Hashable]] , default: None

Columns to ignore, if none given checks based on columns variable.

__init__(columns: Optional[Union[Hashable, List[Hashable]]] = None, ignore_columns: Optional[Union[Hashable, List[Hashable]]] = None, **kwargs)[source]#
__new__(*args, **kwargs)#

Methods

IsSingleValue.add_condition(name, ...)

Add new condition function to the check.

IsSingleValue.add_condition_not_single_value()

Add condition - not single value.

IsSingleValue.clean_conditions()

Remove all conditions from this check instance.

IsSingleValue.conditions_decision(result)

Run conditions on given result.

IsSingleValue.finalize_check_result(check_result)

Finalize the check result by adding the check instance and processing the conditions.

IsSingleValue.metadata([with_doc_link])

Return check metadata.

IsSingleValue.name()

Name of class in split camel case.

IsSingleValue.params([show_defaults])

Return parameters to show when printing the check.

IsSingleValue.remove_condition(index)

Remove given condition by index.

IsSingleValue.run(dataset[, model])

Run check.

IsSingleValue.run_logic(context[, dataset_type])

Run check.

Examples#