Install a Python package into a different directory using pip?
The --target switch is the thing you're looking for:
pip install --target=d:\somewhere\other\than\the\default package_name
But you still need to add d:\somewhere\other\than\the\default
to PYTHONPATH
to actually use them from that location.
-t, --target <dir>
Install packages into <dir>. By default this will not replace existing files/folders in <dir>.
Use --upgrade to replace existing packages in <dir> with new versions.
Upgrade pip if target switch is not available:
On Linux or OS X:
pip install -U pip
On Windows (this works around an issue):
python -m pip install -U pip
Use:
pip install --install-option="--prefix=$PREFIX_PATH" package_name
You might also want to use --ignore-installed
to force all dependencies to be reinstalled using this new prefix. You can use --install-option
to multiple times to add any of the options you can use with python setup.py install
(--prefix
is probably what you want, but there are a bunch more options you could use).
To pip install a library exactly where I wanted it, I navigated to the location I wanted the directory with the terminal then used
pip install mylibraryName -t .
the logic of which I took from this page: https://cloud.google.com/appengine/docs/python/googlecloudstorageclient/download
Instead of the --target
or --install-options
options, I have found that setting the PYTHONUSERBASE
environment variable works well (from discussion on a bug regarding this very thing):
PYTHONUSERBASE=/path/to/install/to pip install --user
(Or set the PYTHONUSERBASE
directory in your environment before running the command, using export PYTHONUSERBASE=/path/to/install/to
)
This uses the very useful --user
option but tells it to make the bin
, lib
, share
and other directories you'd expect under a custom prefix rather than $HOME/.local
.
Then you can add this to your PATH
, PYTHONPATH
and other variables as you would a normal installation directory.
Note that you may also need to specify the --upgrade
and --ignore-installed
options if any packages upon which this depends require newer versions to be installed in the PYTHONUSERBASE
directory, to override the system-provided versions.
A full example
PYTHONUSERBASE=/opt/mysterypackage-1.0/python-deps pip install --user --upgrade numpy scipy
..to install the scipy
and numpy
package most recent versions into a directory which you can then include in your PYTHONPATH
like so (using bash and for python 2.6 on CentOS 6 for this example):
export PYTHONPATH=/opt/mysterypackage-1.0/python-deps/lib64/python2.6/site-packages:$PYTHONPATH
export PATH=/opt/mysterypackage-1.0/python-deps/bin:$PATH
Using virtualenv is still a better and neater solution!