Is there a numpy way (and without for loop) to extract all the indices in a numpy array list_of_numbers, where values are in a list values_of_interest?
This is my current solution:
list_of_numbers = np.array([11,0,37,0,8,1,39,38,1,0,1,0])
values_of_interest = [0,1,38]
indices = []
for value in values_of_interest:
this_indices = np.where(list_of_numbers == value)[0]
indices = np.concatenate((indices, this_indices))
print(indices) # this shows [ 1. 3. 9. 11. 5. 8. 10. 7.]
