import numpy array wrapper

Question

I have following code:

x = array([-273.0, -176.4, -79.8, 16.9, 113.5, 210.1, 306.8, 403.4, 500.0])
y = array([2.25927498e-53, 2.56028619e-03, 8.64512988e-01, 6.27456769e+00, 1.73894734e+01,
        3.29052124e+01, 5.14612316e+01, 7.20531200e+01, 9.40718450e+01])

but array() is not recognized by the IDE, so I figure the code is using some sorta method to wrap numpy.array. So I added

import numpy.array as array

on the top, and the IDE is no longer complaining about using array(). However, when I run this code, I got

ModuleNotFoundError: No module named 'numpy.array'

So how do I use array() like a buildin function?

Normally we do import numpy as np and np.array(...). array is function in the numpy module. It can be imported by name or with the *, but the np.array(...) syntax is clearer and widely used. — hpaulj
– hpaulj, Commented Mar 9, 2018 at 21:38

pault · Accepted Answer · 2018-03-09 21:27:33Z

2

You should do:

from numpy import array
x = array([-273.0, -176.4, -79.8, 16.9, 113.5, 210.1, 306.8, 403.4, 500.0])

print(type(x))
#<type 'numpy.ndarray'>

answered Mar 9, 2018 at 21:27

pault

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