pass_by_group

hhpy.ds.pass_by_group(df: pandas.core.frame.DataFrame, col: str, groupby: Union[str, list], btype: str, shift: bool = False, cutoff: int = 1, fs: int = 20, order: int = 5)

allows applying a butter_pass filter by group

Parameters:

• df – pandas DataFrame
• col – column to filter
• groupby – columns to groupby
• btype – The type of filter. Passed to scipy.signal.butter. Default is ‘lowpass’. One of {‘lowpass’, ‘highpass’, ‘bandpass’, ‘bandstop’}
• shift – shift: whether to shift the data to start at 0
• cutoff – cutoff
• fs – critical frequencies
• order – order of the filter

Returns:

filtered DataFrame