MixedNulls¶
- class MixedNulls[source]¶
Search for various types of null values in a string column(s), 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)[source]¶
- __new__(*args, **kwargs)¶
Methods
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Add new condition function to the check. |
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Add condition - require column not to have more than given number of different null values. |
Remove all conditions from this check instance. |
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Run conditions on given result. |
Name of class in split camel case. |
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Return parameters to show when printing the check. |
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Remove given condition by index. |
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Run check. |
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Run check. |
