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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