I want to populate an array with uniformly chosen floats, but when I try to do that I get integers instead:
#Initial parameters
P = np.full(1, 0)
lower_bounds = np.full(1, 0)
upper_bounds = np.full(1, np.pi)
def candidate(P):
for k in range(len(P)):
P[k] = np.random.uniform(lower_bounds[k],upper_bounds[k])
return P
print(candidate(P))
This prints [0], [1], [2], or [3], whereas
print(np.random.uniform(lower_bounds[0],upper_bounds[0]))
prints a float, as desired. I'm not sure why this happens.
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