Federico Beffa <be...@ieee.org> writes:
> I just tried out using matplotlib without numpy and it actually works:
[...]
> Therefore, despite numpy being the standard data crunching base
> format, I don't think we need to propagate it.
I cannot confirm this. I used
guix environment --container --ad-hoc python-2.7.10 python2-matplotlib --
python2
...
Python 2.7.10 (default, Jan 1 1970, 00:00:01)
[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
"/gnu/store/8k926blraf9mg3l4qjlxpnabrgx09jr8-python2-matplotlib-1.4.2/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
"/gnu/store/8k926blraf9mg3l4qjlxpnabrgx09jr8-python2-matplotlib-1.4.2/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
>>>
So, numpy still needs to be propagated in my opinion. I haven’t tried
‘python-matplotlib’ and ‘python’ yet, just ‘python2-matplotlib’ as
above. Does this make a difference?
~~ Ricardo
