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