set_valid_and_invalid_variable_values#
- Survey.set_valid_and_invalid_variable_values(column_selection: str | int | list | ndarray | Series | range | Callable[[SurveyVariable], bool] | None = None, valid_values: dict | None = None, invalid_values: dict | None = None, suppress_check_var_warning: bool = False)#
Set the dictionaries of valid and invalid values (and their labels) for selected variables. This does not change the data.
Parameters#
- column_selectionstr, int, list, np.ndarray, pd.Series, range, QuestionSelector or None
If None, all columns are taken into account. Otherwise, a subset will be considered. The parameter is interpreted as described in
Survey.interpret_column_selection().- valid_valuesdict, optional
A dictionary containing items
(value, label)for the valid values of the selected variables.- invalid_valuesdict, optional
A dictionary containing items
(value, label)for the invalid values of the selected variables.- suppress_check_var_warningbool
If True, don’t show a warning if there are ‘unusable’ variables after the change. A variable is unusable, if we can not automatically create features for the corresponding question.