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.
- ignore_nanbool, default True
 Whether to ignore NaN values in a column when counting the number of unique values.
- n_samplesint , default: 10_000_000
 number of samples to use for this check.
- random_stateint, default: 42
 random seed for all check internals.
- __init__(columns: Optional[Union[Hashable, List[Hashable]]] = None, ignore_columns: Optional[Union[Hashable, List[Hashable]]] = None, ignore_nan: bool = True, n_samples: int = 10000000, random_state: int = 42, **kwargs)[source]#
 
- __new__(*args, **kwargs)#
 
Methods
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Add new condition function to the check.  | 
Add condition - no column contains only a single value.  | 
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Remove all conditions from this check instance.  | 
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Run conditions on given result.  | 
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Return check configuration (conditions' configuration not yet supported).  | 
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Return check object from a CheckConfig object.  | 
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Deserialize check instance from JSON string.  | 
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Return check metadata.  | 
Name of class in split camel case.  | 
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Return parameters to show when printing the check.  | 
Remove given condition by index.  | 
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Run check.  | 
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Run check.  | 
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Serialize check instance to JSON string.  |