# minimum value the elements in the array
>np.min(my_first_array)
>my_first_array.min()
1
# create a numpy array of 1s (of length 5)
>np.ones(5)
array([ 1., 1., 1., 1., 1.])
# create an empty numpy array of length 5
>np.empty(5)
array([ 1.49166815e-154, 1.49166815e-154, 3.03574399e-152,
2.64522460e+185, 1.45913207e-152])
# create a numpy array of length 5 with 5 zeros
>np.zeros(5)
array([ 0., 0., 0., 0., 0.])
# create a numby array with a range of numbers 0 to 9
>np.arange(10)
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
# create a numpy array with a range of numbers and step size
>np.arange(0, 9, 2)
array([0, 2, 4, 6, 8])
# create an array with random numbers
>np.random.random(5)
array([ 0.4648749
, 0.9236576
, 0.93804724, 0.86871356, 0.49829188])
Return evenly spaced numbers over a specified interval.
>np.linspace(0, 1, 10)
array([ 0.
, 0.11111111, 0.22222222, 0.33333333, 0.44444444,
0.55555556, 0.66666667, 0.77777778, 0.88888889, 1.
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