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Alek Richter
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Enlightened
Asked: 2022-01-13T09:59:56+00:00

Difference between import numpy and import numpy as np

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I understand that when possible one should use

import numpy as np

This helps keep away any conflict due to namespaces. But I have noticed that while the command below works

import numpy.f2py as myf2py

the following does not

import numpy as np
np.f2py #throws no module named f2py

Can someone please explain this?

1 Answer

  2. Enlightened

    numpy is the top package name, and doing import numpy doesn’t import submodule numpy.f2py.

    When you do import numpy it creats a link that points to numpy, but numpy is not further linked to f2py. The link is established when you do import numpy.f2py

    In your above code:

    import numpy as np # np is an alias pointing to numpy, but at this point numpy is not linked to numpy.f2py
    import numpy.f2py as myf2py # this command makes numpy link to numpy.f2py. myf2py is another alias pointing to numpy.f2py as well

    Here is the difference between import numpy.f2py and import numpy.f2py as myf2py:

    import numpy.f2py
    put numpy into local symbol table(pointing to numpy), and numpy is linked to numpy.f2py
    both numpy and numpy.f2py are accessible
    import numpy.f2py as myf2py
    put my2py into local symbol table(pointing to numpy.f2py)
    Its parent numpy is not added into local symbol table. Therefore you can not access numpy directly

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