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np.zeros(5)
array([ 0., 0., 0., 0., 0.])
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# Use numpy full() function on 1-D array
arr2 = np.full(shape=6, fill_value=4)
print(arr2)
# Output:
# [4, 4, 4, 4, 4, 4]
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import numpy as np
# create an array of size 5 with some junk values
np_array = np.empty(5)
print(np_array)
#output: [0. 0.5 1. 1.5 2. ]