Required size of the flat top of peaks in samples. plateau_size number or ndarray or sequence, optional See argument rel_height in peak_widths for a fullĭescription of its effects. Used for calculation of the peaks width, thus it is only used if width Wlen in peak_prominences for a full description of its effects. One of the arguments prominence or width is given. Used for calculation of the peaks prominences, thus it is only used if width number or ndarray or sequence, optional Supplied, as the maximal required prominence. The firstĮlement is always interpreted as the minimal and the second, if Matching x or a 2-element sequence of the former. prominence number or ndarray or sequence, optional Smaller peaks are removed first until the condition Required minimal horizontal distance (>= 1) in samples between Interpreted as the minimal and the second, if supplied, as the maximal Either a number, None, an array matching x or aĢ-element sequence of the former. Required threshold of peaks, the vertical distance to its neighboring threshold number or ndarray or sequence, optional The first element isĪlways interpreted as the minimal and the second, if supplied, as the height number or ndarray or sequence, optional Parameters : x sequenceĪ signal with peaks. Peaks can be selected by specifying conditions for a peak’s properties. This function takes a 1-D array and finds all local maxima by find_peaks ( x, height = None, threshold = None, distance = None, prominence = None, width = None, wlen = None, rel_height = 0.5, plateau_size = None ) #įind peaks inside a signal based on peak properties. Statistical functions for masked arrays ( K-means clustering and vector quantization (
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