SpecialCharacters

class SpecialCharacters

Search in column[s] for values that contains only special characters.

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.

n_most_commonint , default: 2

Number of most common special-only samples to show in results

n_top_columnsint , optional

amount of columns to show ordered by feature importance (date, index, label are first)

__init__(columns: Optional[Union[Hashable, List[Hashable]]] = None, ignore_columns: Optional[Union[Hashable, List[Hashable]]] = None, n_most_common: int = 2, n_top_columns: int = 10, **kwargs)

__new__(*args, **kwargs)

Methods

SpecialCharacters.add_condition(name, ...)	Add new condition function to the check.
SpecialCharacters.add_condition_ratio_of_special_characters_less_or_equal([...])	Add condition - ratio of entirely special character in column is less or equal to the threshold.
SpecialCharacters.clean_conditions()	Remove all conditions from this check instance.
SpecialCharacters.conditions_decision(result)	Run conditions on given result.
SpecialCharacters.config()	Return check configuration (conditions' configuration not yet supported).
SpecialCharacters.from_config(conf)	Return check object from a CheckConfig object.
SpecialCharacters.metadata([with_doc_link])	Return check metadata.
SpecialCharacters.name()	Name of class in split camel case.
SpecialCharacters.params([show_defaults])	Return parameters to show when printing the check.
SpecialCharacters.remove_condition(index)	Remove given condition by index.
SpecialCharacters.run(dataset[, model, ...])	Run check.
SpecialCharacters.run_logic(context, ...)	Run check.

previous

IsSingleValue.run_logic

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SpecialCharacters.add_condition