Python

>>> a = np.array([1, 2, 3])
>>> type(a)
<type 'numpy.ndarray'>

>>> b = np.array((3, 4, 5))
>>> type(b)
<type 'numpy.ndarray'>

>>> np.linspace(0, 5/3, 6)
array([0. , 0.33333333 , 0.66666667 , 1. , 1.33333333  1.66666667])


X = pd.DataFrame(dict(age=[40., 50., 60.], 
                      sys_blood_pressure=[140.,150.,160.]))
m = X.to_records(index=False)
print repr(m)

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