>>> np.empty( (2, 2) ) # uninitialized array
array([[ 6.93482872e-310, 6.93483027e-310],
[ 0.00000000e+000, 0.00000000e+000]])
>>>
>>> np.zeros(5)
array([ 0., 0., 0., 0., 0.])
>>> np.zeros( (2, 3) )
array([[ 0., 0., 0.],
[ 0., 0., 0.]])
>>>
>>> np.ones( (2, 3) )
array([[ 1., 1., 1.],
[ 1., 1., 1.]])
>>> np.arange(1.1, 5, 0.9)
array([ 1.1, 2. , 2.9, 3.8, 4.7])
>>>
>>> np.linspace(1, 10, 4) # 4 values between 1 and 10
array([ 1., 4., 7., 10.])
>>> np.linspace(1, 10, 4, endpoint=False)
array([ 1. , 3.25, 5.5 , 7.75])
>>> a, stepsize = np.linspace(1, 10, 4, retstep=True)
>>> a
array([ 1., 4., 7., 10.])
>>> stepsize
3.0
empty
zeros
ones
arange
linspace