clarite.modify.make_continuous

clarite.modify.make_continuous(data: pandas.core.frame.DataFrame, skip: Union[str, List[str], NoneType] = None, only: Union[str, List[str], NoneType] = None)

Set variable types as Numeric

Converts the type to numeric

Parameters:

data: pd.DataFrame or pd.Series

Data to be processed

skip: str, list or None (default is None)

List of variables that should not be made continuous

only: str, list or None (default is None)

List of variables that are the only ones to be made continuous

Returns:

data: pd.DataFrame

DataFrame with the same data but validated and converted to numeric types

Examples

>>> import clarite
>>> df = clarite.modify.make_continuous(df)
================================================================================
Running make_categorical
--------------------------------------------------------------------------------
Set 128 of 128 variable(s) as continuous, each with 4,321 observations