4.6.1.2. eqcorrscan.utils.findpeaks.find_peaks2_short¶
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eqcorrscan.utils.findpeaks.
find_peaks2_short
(arr, thresh, trig_int, debug=0, starttime=False, samp_rate=1.0)[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.
- debug (int) Optional, debug level 0-5
- starttime (obspy.core.utcdatetime.UTCDateTime) Starttime for plotting, only used if debug > 2.
- samp_rate (float) Sampling rate in Hz, only used for plotting if debug > 2.
Returns: peaks: Lists of tuples of peak values and locations.
Return type: >>> 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)]