Danger 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.
Danger
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.
Negative
Ensure that the given columns are always negative.
The transformation works by applying a logarithm to the negative of column_name + 1 to ensure that the value stays positive when reverted afterwards using an exponential.
column_name
column_name (str) – The name of the column that is constrained to be negative.
strict (bool) – Whether the comparison of the values should be strict, disclude zero < or include it <=.
<
<=
__init__
Initialize self. See help(type(self)) for accurate signature.
Methods
__init__(column_name[, strict])
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
Say whether high is greater than low in each row.
high
low
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