Issue
I'm working on a documentation (personal) for nested matplotlib (MPL) library, which differs from MPL own provided, by interested submodule packages. I'm writing Python script which I hope will automate document generation from future MPL releases.
I selected interested submodules/packages and want to list their main classes from which I'll generate list and process it with pydoc
Problem is that I can't find a way to instruct Python to load submodule from string. Here is example of what I tried:
import matplotlib.text as text
x = dir(text)
.
i = __import__('matplotlib.text')
y = dir(i)
.
j = __import__('matplotlib')
z = dir(j)
And here is 3 way comparison of above lists through pprint:
I don't understand what's loaded in y
object - it's base matplotlib
plus something else, but it lack information that I wanted and that is main classes from matplotlib.text
package. It's top blue coloured part on screenshot (x
list)
Please don't suggest Sphinx as different approach.
Solution
The __import__
function can be a bit hard to understand.
If you change
i = __import__('matplotlib.text')
to
i = __import__('matplotlib.text', fromlist=[''])
then i
will refer to matplotlib.text
.
In Python 2.7 and Python 3.1 or later, you can use importlib
:
import importlib
i = importlib.import_module("matplotlib.text")
Some notes
If you're trying to import something from a sub-folder e.g.
./feature/email.py
, the code will look likeimportlib.import_module("feature.email")
You can't import anything if there is no
__init__.py
in the folder with file you are trying to import
Answered By - mzjn
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