I have two arrays of data from a scipy signal.find_peaks function.
p, prom_data = signal.find_peaks(spec, prominence=0.000010)
prom = prom_data['prominences']
p contains a list of indices where the peaks in spec are over the prominence and prom is a list of the heights of the peaks in p.
example:
p = np.arr[ 3, 7, 10, 14, 16, 19, ]
prom = np.arr[ 99, 77, 100, 140, 50, 82 ]
Then some unnecessary data is trimmed from p with:
# REMOVE PEAKS OUT OF BAND
p = p[(p >= 10) & (p <= 30)] # should remove 3 and 7
But this operation does no remove the corresponding data from prom (i.e. 99 and 77)
Q: How can I remove the corresponding heights from prom ?
Here I save the indexes of values you delete in p and then delete values on those indexes from the second array too.
import numpy as np
p = np.array([3, 7, 10, 14, 16, 31])
prom = np.array([99, 77, 100, 140, 50, 82])
original_indexes = np.arange(len(p))
p_filtered = p[(p >= 10) & (p <= 30)]
removed_indexes = original_indexes[~((p >= 10) & (p <= 30))]
prom_filtered = np.delete(prom, removed_indexes)
print("filtered array p:\n", p_filtered)
print("removed indexes:\n", removed_indexes)
print("filtered array prom:\n", prom_filtered)