Hide external modules when importing a module (e.g

Question

I have several modules in one package (a kind of a toolkit), which I use in my projects. The structure looks like this:

the_toolkit:
    __init__.py
    basic_io.py
    simple_math.py
    matrix_kit.py
    ...

Now when I use IPython or the code completion in VIM after importing a module from the package with

from the_toolkit import matrix_kit

I get a bunch of modules/functions which matrix_kit.py imports (array, math, log, loggin, format_exc, etc.), along with the actual functions which matrix_kit defines. How can I filter out everything else, since I'm not interested in math or array in a code completion of the matrix_kit module?

The __init__.py is empty as suggested by many pythonistas, or is it the way to do it?

Answer 1

you may get some mileage out of __all__

Answer 2

I've come to like and use this approach. Starting with your project structure, we will hide all the content of matrix_kit that you don't want to show.

the_toolkit:
    __init__.py
    basic_io.py
    simple_math.py
    matrix_kit.py
    ...

Move matrix_kit.py into a package with the same name, and place one underscore in the beginning of the module's name:

the_toolkit:
    __init__.py
    basic_io.py
    simple_math.py
    matrix_kit:
        __init__.py
        _matrix_kit.py
    ...

Now in _matrix_kit.py add a global variable __all__ = [...] listing the names of all functions/classes/variables you want to be visible. Then in matrix_kit/init.py add this line:

from ._matrix_kit import *

It will only import the stuff listed in the __all__ attribute of the module. Then, while importing matrix_kit like you've done before, you will actually import the __init__.py and its content.

Answer 3

I had the same problem, and solved it by adding a leading underscore to all my imports. It doesn't look brilliant, but it achieves what you're after.

from __future__ import division as _division
import numpy as _np
import pandas as _pd

Only the stuff that starts without an underscore is imported when you import the module using from .. import *. or when you use tab-completion in IPython or spyder.