I am trying to update my matplotlib
in virtualenv and now it seems everything crashed 🙁
what I did till now is basically,
source ~/myenv/bin/activate pip install -U matplotlib
I had previously matplotlib 1.3
now if I activate py virtual environment and check the matplotlib version
it shows 2.1
but I cannot import Axes3D
from matplotlib.
>>> import importlib >>> importlib.import_module('mpl_toolkits.mplot3d').__path__ Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/usr/nld/python-2.7.6-freya/lib/python2.7/importlib/__init__.py", line 37, in import_module __import__(name) File "/home/usr/vir_python/lib/python2.7/site-packages/mpl_toolkits/mplot3d/__init__.py", line 6, in <module> from .axes3d import Axes3D File "/home/usr/vir_python/lib/python2.7/site-packages/mpl_toolkits/mplot3d/axes3d.py", line 32, in <module> from matplotlib.cbook import _backports ImportError: cannot import name _backports
I working on linux platform and using Python 2.7.
Further problem, I saw,
If I just open virtual python, without activating the virtualenv, I get matplotlib 2.1
$:~> myenv/bin/python Python 2.7.6 (default, Apr 15 2014, 11:17:36) [GCC 4.3.4 [gcc-4_3-branch revision 152973]] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import matplotlib >>> matplotlib.__version__ '2.1.0'
but if I activate the virtual environment and then open the virtual python with I get matplotlib 1.3.1
or old matplotlib.
$:~> source myenv/bin/activate (vir_python)$:~> myenv/bin/python Python 2.7.6 (default, Apr 15 2014, 11:17:36) [GCC 4.3.4 [gcc-4_3-branch revision 152973]] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import matplotlib >>> matplotlib.__version__ '1.3.1'
I did the following as per Karthik’s suggestion :
First activated the virtual python
(vir_python) $: pip install matplotlib==2.1.0 (vir_python) $: pip freeze backports.functools-lru-cache==1.4 backports.ssl-match-hostname==3.4.0.2 cycler==0.10.0 imageio==2.1.2 Jinja2==2.7.2 MarkupSafe==0.19 matplotlib==1.3.1 mpi4py==2.0.0 nose==1.3.1 numpy==1.12.0 olefile==0.44 pandas==0.19.2 Pillow==4.0.0 pyparsing==2.0.1 python-dateutil==2.6.0 pytz==2016.10 scipy==0.19.0 six==1.10.0 subprocess32==3.2.7 svg.path==1.1 tornado==3.2 virtualenv==1.11.4