On 15-08-18 04:10 PM, Albert-Jan Roskam wrote:
Hi,
I use Python(x y) (Python 2.7) on Win7. I need a higher version of openpyxl, because pandas.Dataframe.to_excel yields an error. So pandas and its own dependencies (e.g. numpy) could remain in the python(x y) site-packages, I just need a higher version of openpyxl without disturbing the x,y installation (I do not even have rights to install stuff there!)
So I would like to pip install a openpyxl AND its specific dependencies in a virtualenv.
The problem is that I can't use pip to download the packages from Pypi because
I do not have a regular internet connection. Is there a generic way to install
a package and its (pre-downloaded) dependencies, a way that requires little or
no modifications to the original package?
Using pip 'editable' might help:
http://stackoverflow.com/questions/15031694/installing-python-packages-from-local-file-system-folder-with-pip.
I am hoping requirements.txt might somehow be used to install the dependencies
from a local location --but how?
To install without going out to the internet, you can use these arguments:
pip install --no-index --find-links=/path/to/download/directory
<packages>
that *won't* work for git/svn/bzr linked (editable) packages, but should
work for pre-downloaded "released" packages. If you need the editable
packages, you'll need to pull the git/whatever repositories and modify
your requirements file to point to the local git repo. But you likely
could just do a "python setup.py develop" for them if you've got the
source downloaded anyway.
I often use this with a separate "download dependencies" stage that
populates the packages directory so that our build server doesn't hit
PyPi every time we do a rebuild of our virtualenvs (which we do for
every testing build).
HTH,
Mike
--
________________________________________________
Mike C. Fletcher
Designer, VR Plumber, Coder
http://www.vrplumber.com
http://blog.vrplumber.com
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