Re: python-matplotlib: should it propagate numpy?

[Federico Beffa]

On Sun, Dec 6, 2015 at 11:22 PM, Ludovic Courtès <address@hidden> wrote:
> Federico Beffa <address@hidden> skribis:
>
>> Ricardo Wurmus <address@hidden> writes:
>>
>>> Hi Guix,
>>>
>>> with a profile containing python-2.7.10 and python2-matplotlib I did
>>> this:
>>>
>>> ~~~~~~~~~~~~~~~~~~~~~~~~
>>> address@hidden:~] $ export
>>> GI_TYPELIB_PATH="$HOME/.guix-profile/lib/girepository-1.0"
>>> address@hidden:~] $ export
>>> PYTHONPATH=$HOME/.guix-profile/lib/python2.7/site-packages
>>> address@hidden:~] $ python
>>> Python 2.7.10 (default, Oct  9 2015, 22:48:33)
>>> [GCC 4.9.3] on linux2
>>> Type "help", "copyright", "credits" or "license" for more information.
>>>>>> import matplotlib.pyplot as plt
>>> Traceback (most recent call last):
>>>   File "<stdin>", line 1, in <module>
>>>   File 
>>> "/home/rwurmus/.guix-profile/lib/python2.7/site-packages/matplotlib-1.4.2-py2.7-linux-x86_64.egg/matplotlib/__init__.py",
>>>  line 180, in <module>
>>>     from matplotlib.cbook import is_string_like
>>>   File 
>>> "/home/rwurmus/.guix-profile/lib/python2.7/site-packages/matplotlib-1.4.2-py2.7-linux-x86_64.egg/matplotlib/cbook.py",
>>>  line 33, in <module>
>>>     import numpy as np
>>> ImportError: No module named numpy
>>>>>>
>>> ~~~~~~~~~~~~~~~~~~~~~~~~
>>
>> Yeah, we should propagate numpy really.
>
> So, what’s the status of this discussion?  To propagate or not to
> propagate?  :-)

I just tried out using matplotlib without numpy and it actually works:

--------------------------------------------------
$ ipython
Python 3.4.3 (default, Jan  1 1970, 00:00:01)
Type "copyright", "credits" or "license" for more information.

IPython 3.2.1 -- An enhanced Interactive Python.
?         -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help      -> Python's own help system.
object?   -> Details about 'object', use 'object??' for extra details.

In [1]: import matplotlib.pyplot as plt

In [2]: t = range(5)

In [3]: plt.plot(t, t)
Out[3]: [<matplotlib.lines.Line2D at 0x7f17b930ccf8>]

In [4]: plt.show()

--------------------------------------------------

Therefore, despite numpy being the standard data crunching base
format, I don't think we need to propagate it.

Regards,
Fede