MixedNulls

class MixedNulls

Search for various types of null values, including string representations of null.

Parameters

null_string_listIterable[str] , default: None

List of strings to be considered alternative null representations

check_nanbool , default: True

Whether to add to null list to check also NaN values

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_top_columnsint , optional

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

__init__(null_string_list: Optional[Iterable[str]] = None, check_nan: bool = True, columns: Optional[Union[Hashable, List[Hashable]]] = None, ignore_columns: Optional[Union[Hashable, List[Hashable]]] = None, n_top_columns: int = 10, **kwargs)

__new__(*args, **kwargs)

Methods

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

Examples

Mixed Nulls

previous

ColumnsInfo.run_logic

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MixedNulls.add_condition