Python 2.7 function imports

Question

When I say import numpy as np, I can access all the modules and submodules in numpy from np. I do not have to say np.matrixlib.matrix. What is this feature called? How do I implement this in my package.

I don't think your statement " I can access all the modules and submodules in numpy from np" is correct (I am not quite sure what you mean exactly), but consider `np.random.normal` which cannot be accessed through `np.normal` — FlyingTeller, Aug 17 '18 at 11:22
You could just check how numpy [does it](https://github.com/numpy/numpy/blob/master/numpy/__init__.py) — FlyingTeller, Aug 17 '18 at 11:28

score 0 · Accepted Answer · answered Aug 17 '18 at 11:51

0

If one want's that submodules are available in the main module, they have to be imported in __init__.py.

See for example numpy/__init__.py:

from .matrixlib import *

imports everything from numpy.matrixlib into numpy.

answered Aug 17 '18 at 11:51

Daniel

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score -1 · Answer 2 · answered Aug 17 '18 at 11:33

-1

I think you mean something like:

from numpy import *

Although I think this may only do the first level of functions. You might need another one for the 'deeper' functions:

from numpy.matrixlib import matrix

answered Aug 17 '18 at 11:33

N Chauhan

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Doing `import numpy as np` enables one to write`np.matrix` instead of having to import it seperately – FlyingTeller Aug 17 '18 at 11:41

Python 2.7 function imports

2 Answers2