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pydiogment.utils.filters#

Description: implements the scipybased Butterworth filters.
- bandpas: https://stackoverflow.com/questions/12093594/how-to-implement-band-pass-butterworth-filter-with-scipy-signal-butter
- highpass: https://stackoverflow.com/questions/39032325/python-high-pass-filter

pydiogment.utils.filters.butter_bandpass(low_cut, high_cut, fs, order=5)[source]#

Design band pass filter.

Parameters

low_cut (float) – the low cutoff frequency of the filter.
high_cut (float) – the high cutoff frequency of the filter.
fs (float) – the sampling rate.
order (int) – order of the filter, by default defined to 5.

pydiogment.utils.filters.butter_filter(sig, fs, ftype='low', low_cut=50, high_cut=2000, order=5)[source]#

Apply filter to signal.

Parameters

sig (array) – the signal array to filter.
fs (float) – the sampling rate.
ftype (str) – the filter type, by default defined to a low pass filter
low_cut (float) – the low cutoff frequency, by default defined to 50Hz
high_cut (float) – the high cutoff frequency, by default defined to 2000Hz.
order (int) – order of the filter, by default defined to 5.

Returns

array of the filtered signal.

pydiogment.utils.filters.butter_highpass(cutoff, fs, order=5)[source]#

Design a highpass filter.

Parameters

cutoff (float) – the cutoff frequency of the filter.
fs (float) – the sampling rate.
order (int) – order of the filter, by default defined to 5.

pydiogment.utils.filters.butter_lowpass(cutoff, fs, order=5)[source]#

Design lowpass filter.

Parameters

cutoff (float) – the cutoff frequency of the filter.
fs (float) – the sampling rate.
order (int) – order of the filter, by default defined to 5.

pydiogment.utils.io