DataFilter

class DataFilter

A dictionary that defines a filter for a dataframe.

Parameters

columnstr

The name of the column to filter on, column can be a feature or an additional-data column.

operatorOperatorsEnum

The operator to use for the filter by the value.

valuet.Any

The value to use as reference.

Examples

Data filter to filter out values smaller or equal to 5 on the column ‘feature1’

>>> from deepchecks_client import DataFilter, OperatorsEnum
>>> filter = DataFilter(column='feature1', operator=OperatorsEnum.GE, value=5)

__init__(*args, **kwargs)

__new__(*args, **kwargs)

Attributes

DataFilter.column
DataFilter.operator
DataFilter.value

Methods

DataFilter.clear()
DataFilter.copy()
DataFilter.fromkeys(iterable[, value])	Create a new dictionary with keys from iterable and values set to value.
DataFilter.get(key[, default])	Return the value for key if key is in the dictionary, else default.
DataFilter.items()
DataFilter.keys()
DataFilter.pop(key[, default])	If the key is not found, return the default if given; otherwise, raise a KeyError.
DataFilter.popitem(/)	Remove and return a (key, value) pair as a 2-tuple.
DataFilter.setdefault(key[, default])	Insert key with a value of default if key is not in the dictionary.
DataFilter.update([E, ]**F)	If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
DataFilter.values()

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DataSchema.values

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DataFilter.column