toto.filters.spike_removal

Find Peaks using the scipy function and replace them with NaN.

Parameters

input_arrayPanda Obj

The Panda dataframe.

heightnumber or ndarray or sequence, optional

Required height of peaks. Either a number, None, an array matching x or a 2-element sequence of the former. The first element is always interpreted as the minimal and the second, if supplied, as the maximal required height.

thresholdnumber or ndarray or sequence, optional

Required threshold of peaks, the vertical distance to its neighboring samples. Either a number, None, an array matching x or a 2-element sequence of the former. The first element is always interpreted as the minimal and the second, if supplied, as the maximal required threshold.

distancenumber, optional

Required minimal horizontal distance (>= 1) in samples between neighbouring peaks. Smaller peaks are removed first until the condition is fulfilled for all remaining peaks.

prominencenumber or ndarray or sequence, optional

Required prominence of peaks. Either a number, None, an array matching x or a 2-element sequence of the former. The first element is always interpreted as the minimal and the second, if supplied, as the maximal required prominence.

widthnumber or ndarray or sequence, optional

Required width of peaks in samples. Either a number, None, an array matching x or a 2-element sequence of the former. The first element is always interpreted as the minimal and the second, if supplied, as the maximal required width.

wlenint, optional

Used for calculation of the peaks prominences, thus it is only used if one of the arguments prominence or width is given. See argument wlen in peak_prominences for a full description of its effects.

rel_heightfloat, optional

Used for calculation of the peaks width, thus it is only used if width is given. See argument rel_height in peak_widths for a full description of its effects.

plateau_sizenumber or ndarray or sequence, optional

Required size of the flat top of peaks in samples. Either a number, None, an array matching x or a 2-element sequence of the former. The first element is always interpreted as the minimal and the second, if supplied as the maximal required plateau size.

Notes

see https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.find_peaks.html

toto.filters.spike_removal.spike_removal(input_array, args={'distance': 0.0, 'height': 0.0, 'plateau_size': 0, 'prominence': 0.0, 'rel_height': 0.0, 'threshold': 0.0, 'width': 0.0, 'wlen': 0.0})