6.2.7.1.4. eqcorrscan.utils.findpeaks.find_peaks2_short¶
- eqcorrscan.utils.findpeaks.find_peaks2_short(arr, thresh, trig_int, full_peaks=False)[source]¶
Determine peaks in an array of data above a certain threshold.
Uses a mask to remove data below threshold and finds peaks in what is left.
- Parameters:
arr (numpy.ndarray) – 1-D numpy array is required
thresh (float) – The threshold below which will be considered noise and peaks will not be found in.
trig_int (int) – The minimum difference in samples between triggers, if multiple peaks within this window this code will find the highest.
full_peaks (bool) – If True will by decluster within data-sections above the threshold, rather than just taking the peak within that section. This will take more time. This defaults to False for match_filter.
- Returns:
peaks: Lists of tuples of peak values and locations.
- Return type:
list
>>> import numpy as np >>> arr = np.random.randn(100) >>> threshold = 10 >>> arr[40] = 20 >>> arr[60] = 100 >>> find_peaks2_short(arr, threshold, 3) [(20.0, 40), (100.0, 60)]