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You are looking at the documentation for an older version of the SDV! We are no longer supporting or maintaining this version of the software
Click here to go to the new docs pages.
sdv.constraints.
Unique
Ensure that each value for a specified column/group of columns is unique.
This constraint is provided a list of columns, and guarantees that every unique combination of those columns appears at most once in the sampled data.
column_names (list[str]) – List of name(s) of the column(s) to keep unique.
__init__
Initialize self. See help(type(self)) for accurate signature.
Methods
__init__(column_names)
Initialize self.
filter_valid(table_data)
filter_valid
Get only the rows that are valid.
fit(table_data)
fit
Fit Constraint class to data.
Constraint
fit_transform(table_data)
fit_transform
Fit this Constraint to the data and then transform it.
from_dict(constraint_dict)
from_dict
Build a Constraint object from a dict.
is_valid(table_data)
is_valid
Get indices of first instance of unique rows.
reverse_transform(table_data)
reverse_transform
Handle logic around reverse transforming constraints.
to_dict()
to_dict
Return a dict representation of this Constraint.
transform(table_data)
transform
Perform necessary transformations needed by constraint.
Attributes
constraint_columns