Is there a way to upgrade the version of python used in a virtualenv (e.g. if a bugfix release comes out)?
I could pip freeze --local > requirements.txt, then remove the directory and pip install -r requirements.txt, but this requires a lot of reinstallation of large libraries, for instance, numpy, which I use a lot.
I can see this is an advantage when upgrading from, e.g., 2.6 -> 2.7, but what about 2.7.x -> 2.7.y?
If you happen to be using the venv module that comes with Python 3.3+, it supports an --upgrade option.
Per the docs:
Upgrade the environment directory to use this version of Python, assuming Python has been upgraded in-place
python3 -m venv --upgrade ENV_DIR
Did you see this? If I haven't misunderstand that answer, you may try to create a new virtualenv on top of the old one. You just need to know which python is going to use your virtualenv (you will need to see your virtualenv version).
If your virtualenv is installed with the same python version of the old one and upgrading your virtualenv package is not an option, you may want to read this in order to install a virtualenv with the python version you want.
EDIT
I've tested this approach (the one that create a new virtualenv on top of the old one) and it worked fine for me. I think you may have some problems if you change from python 2.6 to 2.7 or 2.7 to 3.x but if you just upgrade inside the same version (staying at 2.7 as you want) you shouldn't have any problem, as all the packages are held in the same folders for both python versions (2.7.x and 2.7.y packages are inside your_env/lib/python2.7/).
If you change your virtualenv python version, you will need to install all your packages again for that version (or just link the packages you need into the new version packages folder, i.e: your_env/lib/python_newversion/site-packages)
Updated again:
The following method might not work in newer versions of virtualenv. Before you try to make modifications to the old virtualenv, you should save the dependencies in a requirement file (pip freeze > requirements.txt) and make a backup of it somewhere else. If anything goes wrong, you can still create a new virtualenv and install the old dependencies in it (pip install -r requirements.txt).
Updated: I changed the answer 5 months after I originally answered. The following method is more convenient and robust.
Side effect: it also fixes the Symbol not found: _SSLv2_method exception when you do import ssl in a virtual environment after upgrading Python to v2.7.8.
Notice: Currently, this is for Python 2.7.x only.
If you're using Homebrew Python on OS X, first deactivate all virtualenv, then upgrade Python:
brew update && brew upgrade python
Run the following commands (<EXISTING_ENV_PATH> is path of your virtual environment):
cd <EXISTING_ENV_PATH>
rm .Python
rm bin/pip{,2,2.7}
rm bin/python{,2,2.7}
rm -r include/python2.7
rm lib/python2.7/*
rm -r lib/python2.7/distutils
rm lib/python2.7/site-packages/easy_install.*
rm -r lib/python2.7/site-packages/pip
rm -r lib/python2.7/site-packages/pip-*.dist-info
rm -r lib/python2.7/site-packages/setuptools
rm -r lib/python2.7/site-packages/setuptools-*.dist-info
Finally, re-create your virtual environment:
virtualenv <EXISTING_ENV_PATH>
By doing so, old Python core files and standard libraries (plus setuptools and pip) are removed, while the custom libraries installed in site-packages are preserved and working, as soon as they are in pure Python. Binary libraries may or may not need to be reinstalled to function properly.
This worked for me on 5 virtual environments with Django installed.
BTW, if ./manage.py compilemessages is not working afterwards, try this:
brew install gettext && brew link gettext --force
Step 1: Freeze requirement & take a back-up of existing env
pip freeze > requirements.txt
deactivate
mv env env_old
Step 2: Install Python 3.7 & activate virutal environment
sudo apt-get install python3.7-venv
python3.7 -m venv env
source env/bin/activate
python --version
Step 3: Install requirements
sudo apt-get install python3.7-dev
pip3 install -r requirements.txt
How to upgrade the Python version for an existing virtualenvwrapper project and keep the same name
I'm adding an answer for anyone using Doug Hellmann's excellent virtualenvwrapper specifically since the existing answers didn't do it for me.
Some context:
I work on some projects that are Python 2 and some that are Python 3; while I'd love to use python3 -m venv, it doesn't support Python 2 environments
When I start a new project, I use mkproject which creates the virtual environment, creates an empty project directory, and cds into it
I want to continue using virtualenvwrapper's workon command to activate any project irrespective of Python version
Directions:
Let's say your existing project is named foo and is currently running Python 2 (mkproject -p python2 foo), though the commands are the same whether upgrading from 2.x to 3.x, 3.6.0 to 3.6.1, etc. I'm also assuming you're currently inside the activated virtual environment.
1. Deactivate and remove the old virtual environment:
$ deactivate
$ rmvirtualenv foo
Note that if you've added any custom commands to the hooks (e.g., bin/postactivate) you'd need to save those before removing the environment.
2. Stash the real project in a temp directory:
$ cd ..
$ mv foo foo-tmp
3. Create the new virtual environment (and project dir) and activate:
$ mkproject -p python3 foo
4. Replace the empty generated project dir with real project, change back into project dir:
$ cd ..
$ mv -f foo-tmp foo
$ cdproject
5. Re-install dependencies, confirm new Python version, etc:
$ pip install -r requirements.txt
$ python --version
If this is a common use case, I'll consider opening a PR to add something like $ upgradevirtualenv / $ upgradeproject to virtualenvwrapper.
Let's consider that the environment that one wants to update has the name venv.
1. Backup venv requirements (optional)
First of all, backup the requirements of the virtual environment:
pip freeze > requirements.txt
deactivate
#Move the folder to a new one
mv venv venv_old
2. Install Python
Assuming that one doesn't have sudo access, pyenv is a reliable and fast way to install Python. For that, one should run
curl https://pyenv.run | bash
and then
exec $SHELL
as suggested here.
If, when one tries to update pyenv
pyenv update
and one gets the error
bash: pyenv: command not found
that is because pyenv path wasn't exported to .bashrc. It can be solved by executing the following commands:
echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bashrc
echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc
echo -e 'if command -v pyenv 1>/dev/null 2>&1; then\n eval "$(pyenv init -)"\nfi' >> ~/.bashrc
Then restart the shell
exec "$SHELL"
Now one should install the Python version that one wants. Let's say version 3.8.3
pyenv install 3.8.3
One can confirm if it was properly installed by running
pyenv versions
The output should be the location and the versions (in this case 3.8.3)
3. Create the new virtual environment
Finally, with the new Python version installed, create a new virtual environment (let's call it venv)
python3.8 -m venv venv
Activate it
source venv/bin/activate
and install the requirements
pip install -r requirements.txt
Now one should be up and running with a new environment.
I wasn't able to create a new virtualenv on top of the old one. But there are tools in pip which make it much faster to re-install requirements into a brand new venv. Pip can build each of the items in your requirements.txt into a wheel package, and store that in a local cache. When you create a new venv and run pip install in it, pip will automatically use the prebuilt wheels if it finds them. Wheels install much faster than running setup.py for each module.
My ~/.pip/pip.conf looks like this:
[global]
download-cache = /Users/me/.pip/download-cache
find-links =
/Users/me/.pip/wheels/
[wheel]
wheel-dir = /Users/me/.pip/wheels
I install wheel (pip install wheel), then run pip wheel -r requirements.txt. This stores the built wheels in the wheel-dir in my pip.conf.
From then on, any time I pip install any of these requirements, it installs them from the wheels, which is pretty quick.
I just want to clarify, because some of the answers refer to venv and others refer to virtualenv.
Use of the -p or --python flag is supported on virtualenv, but not on venv. If you have more than one Python version and you want to specify which one to create the venv with, do it on the command line, like this:
malikarumi#Tetuoan2:~/Projects$ python3.6 -m venv {path to pre-existing dir you want venv in}
You can of course upgrade with venv as others have pointed out, but that assumes you have already upgraded the Python that was used to create that venv in the first place. You can't upgrade to a Python version you don't already have on your system somewhere, so make sure to get the version you want, first, then make all the venvs you want from it.
This approach always works for me:
# First of all, delete all broken links. Replace my_project_name` to your virtual env name
find ~/.virtualenvs/my_project_name/ -type l -delete
# Then create new links to the current Python version
virtualenv ~/.virtualenvs/my_project_name/
# It's it. Just repeat for each virtualenv located in ~/.virtualenvs
Taken from:
https://github.com/1st/python-on-osx#python-virtualenv
https://gist.github.com/1st/ced02a1c64ac7b82bb27e432eea6b068
If you're using pipenv, I don't know if it's possible to upgrade an environment in place, but at least for minor version upgrades it seems to be smart enough not to rebuild packages from scratch when it creates a new environment. E.g., from 3.6.4 to 3.6.5:
$ pipenv --python 3.6.5 install
Virtualenv already exists!
Removing existing virtualenv…
Creating a v$ pipenv --python 3.6.5 install
Virtualenv already exists!
Removing existing virtualenv…
Creating a virtualenv for this project…
Using /usr/local/bin/python3.6m (3.6.5) to create virtualenv…
⠋Running virtualenv with interpreter /usr/local/bin/python3.6m
Using base prefix '/usr/local/Cellar/python/3.6.5/Frameworks/Python.framework/Versions/3.6'
New python executable in /Users/dmoles/.local/share/virtualenvs/autoscale-aBUhewiD/bin/python3.6
Also creating executable in /Users/dmoles/.local/share/virtualenvs/autoscale-aBUhewiD/bin/python
Installing setuptools, pip, wheel...done.
Virtualenv location: /Users/dmoles/.local/share/virtualenvs/autoscale-aBUhewiD
Installing dependencies from Pipfile.lock (84dd0e)…
🐍 ▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉ 47/47 — 00:00:24
To activate this project's virtualenv, run the following:
$ pipenv shell
$ pipenv shell
Spawning environment shell (/bin/bash). Use 'exit' to leave.
. /Users/dmoles/.local/share/virtualenvs/autoscale-aBUhewiD/bin/activate
bash-3.2$ . /Users/dmoles/.local/share/virtualenvs/autoscale-aBUhewiD/bin/activate
(autoscale-aBUhewiD) bash-3.2$ python
Python 3.6.5 (default, Mar 30 2018, 06:41:53)
[GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.39.2)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy as np
>>>
I moved my home directory from one mac to another (Mountain Lion to Yosemite) and didn't realize about the broken virtualenv until I lost hold of the old laptop. I had the virtualenv point to Python 2.7 installed by brew and since Yosemite came with Python 2.7, I wanted to update my virtualenv to the system python. When I ran virtualenv on top of the existing directory, I was getting OSError: [Errno 17] File exists: '/Users/hdara/bin/python2.7/lib/python2.7/config' error. By trial and error, I worked around this issue by removing a few links and fixing up a few more manually. This is what I finally did (similar to what #Rockalite did, but simpler):
cd <virtualenv-root>
rm lib/python2.7/config
rm lib/python2.7/lib-dynload
rm include/python2.7
rm .Python
cd lib/python2.7
gfind . -type l -xtype l | while read f; do ln -s -f /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/${f#./} $f; done
After this, I was able to just run virtualenv on top of the existing directory.
On OS X or macOS using Homebrew to install and upgrade Python3 I had to delete symbolic links before python -m venv --upgrade ENV_DIR would work.
I saved the following in upgrade_python3.sh so I would remember how months from now when I need to do it again:
brew upgrade python3
find ~/.virtualenvs/ -type l -delete
find ~/.virtualenvs/ -type d -mindepth 1 -maxdepth 1 -exec python3 -m venv --upgrade "{}" \;
UPDATE: while this seemed to work well at first, when I ran py.test it gave an error. In the end I just re-created the environment from a requirements file.
For everyone with the problem
Error: Command '['/Users/me/Sites/site/venv3/bin/python3', '-Im', 'ensurepip', '--upgrade', '--default-pip']' returned non-zero exit status 1.
You have to install python3.6-venv
sudo apt-get install python3.6-venv
Related
Using virtualenv, I run my projects with the default version of Python (2.7). On one project, I need to use Python 3.4.
I used brew install python3 to install it on my Mac. Now, how do I create a virtualenv that uses the new version?
e.g. sudo virtualenv envPython3
If I try:
virtualenv -p python3 test
I get:
Running virtualenv with interpreter /usr/local/bin/python3
Using base prefix '/usr/local/Cellar/python3/3.4.0_1/Frameworks/Python.framework/Versions/3.4'
New python executable in test/bin/python3.4
Also creating executable in test/bin/python
Failed to import the site module
Traceback (most recent call last):
File "/Users/user/Documents/workspace/test/test/bin/../lib/python3.4/site.py", line 67, in <module>
import os
File "/Users/user/Documents/workspace/test/test/bin/../lib/python3.4/os.py", line 634, in <module>
from _collections_abc import MutableMapping
ImportError: No module named '_collections_abc'
ERROR: The executable test/bin/python3.4 is not functioning
ERROR: It thinks sys.prefix is '/Users/user/Documents/workspace/test' (should be '/Users/user/Documents/workspace/test/test')
ERROR: virtualenv is not compatible with this system or executable
simply run
virtualenv -p python3 envname
Update after OP's edit:
There was a bug in the OP's version of virtualenv, as described here. The problem was fixed by running:
pip install --upgrade virtualenv
Python 3 has a built-in support for virtual environments - venv. It might be better to use that instead. Referring to the docs:
Creation of virtual environments is done by executing the pyvenv
script:
pyvenv /path/to/new/virtual/environment
Update for Python 3.6 and newer:
As pawciobiel correctly comments, pyvenv is deprecated as of Python 3.6 and the new way is:
python3 -m venv /path/to/new/virtual/environment
I'v tried pyenv and it's very handy for switching python versions (global, local in folder or in the virtualenv):
brew install pyenv
then install Python version you want:
pyenv install 3.5.0
and simply create virtualenv with path to needed interpreter version:
virtualenv -p /Users/johnny/.pyenv/versions/3.5.0/bin/python3.5 myenv
That's it, check the version:
. ./myenv/bin/activate && python -V
There are also plugin for pyenv pyenv-virtualenv but it didn't work for me somehow.
Install prerequisites.
sudo apt-get install python3 python3-pip virtualenvwrapper
Create a Python3 based virtual environment. Optionally enable --system-site-packages flag.
mkvirtualenv -p /usr/bin/python3 <venv-name>
Set into the virtual environment.
workon <venv-name>
Install other requirements using pip package manager.
pip install -r requirements.txt
pip install <package_name>
When working on multiple python projects simultaneously it is usually recommended to install common packages like pdbpp globally and then reuse them in virtualenvs.
Using this technique saves a lot of time spent on fetching packages and installing them, apart from consuming minimal disk space and network bandwidth.
sudo -H pip3 -v install pdbpp
mkvirtualenv -p $(which python3) --system-site-packages <venv-name>
Django specific instructions
If there are a lot of system wide python packages then it is recommended to not use --system-site-packages flag especially during development since I have noticed that it slows down Django startup a lot. I presume Django environment initialisation is manually scanning and appending all site packages from the system path which might be the reason. Even python manage.py shell becomes very slow.
Having said that experiment which option works better. Might be safe to just skip --system-site-packages flag for Django projects.
virtualenv --python=/usr/bin/python3 <name of env>
worked for me.
This is all you need, in order to run a virtual environment in python / python3
First if virtualenv not installed, run
pip3 install virtualenv
Now Run:
virtualenv -p python3 <env name> # you can specify full path instead <env_name> to install the files in a different location other than the current location
Sometime the cmd virtualenv fails, if so use this:
python3 -m virtualenv <env_name> # you can specify full path instead <env_name> to install the files in a different location other than the current location
Now activate the virtual env:
source <env_name>/bin/activate
Or:
source `pwd`/<env_name>/bin/activate
Now run
which python
You should see the full path to your dir and <env_name>/bin/python suffix
To exit the virtualenv, run:
deactivate
To troubleshoot Python location got to here
You can specify specific Version of Python while creating environment.
It's mentioned in virtualenv.py
virtualenv --python=python3.5 envname
In some cases this has to be the full path to the executable:
virtualenv --python=/Users/username/.pyenv/versions/3.6.0/bin/python3.6 envname
How -p works
parser.add_option(
'-p', '--python',
dest='python',
metavar='PYTHON_EXE',
help='The Python interpreter to use, e.g., --python=python3.5 will use the python3.5 '
'interpreter to create the new environment. The default is the interpreter that '
'virtualenv was installed with (%s)' % sys.executable)
I had the same ERROR message. tbrisker's solution did not work in my case. Instead this solved the issue:
$ python3 -m venv .env
In addition to the other answers, I recommend checking what instance of virtualenv you are executing:
which virtualenv
If this turns up something in /usr/local/bin, then it is possible - even likely - that you installed virtualenv (possibly using an instance of easy_tools or pip) without using your system's package manager (brew in OP's case). This was my problem.
Years ago - when I was even more ignorant - I had installed virtualenv and it was masking my system's package-provided virtualenv.
After removing this old, broken virtualenv, my problems went away.
The below simple commands can create a virtual env with version 3.5
apt-get install python3-venv
python3.5 -m venv <your env name>
if you want virtual env version as 3.6
python3.6 -m venv <your env name>
Python now comes with its own implementation of virtual environment, by the name of "venv". I would suggest using that, instead of virtualenv.
Quoting from venv - docs,
Deprecated since version 3.6: pyvenv was the recommended tool for
creating virtual environments for Python 3.3 and 3.4, and is
deprecated in Python 3.6.
Changed in version 3.5: The use of venv is now recommended for
creating virtual environments.
For windows, to initiate venv on some project, open cmd:
python -m venv "c:\path\to\myenv"
(Would suggest using double quote around directory path if it contains any spaces. Ex: "C:/My Dox/Spaced Directory/Something")
Once venv is set up, you will see some new folders inside your project directory. One of them would be "Scripts".
To activate or invoke venv you need:
C:\> <venv>\Scripts\activate.bat
You can deactivate a virtual environment by typing “deactivate” in your shell. With this, you are now ready to install your project specific libraries, which will reside under the folder "Lib".
================================ Edit 1 ====================================
The scenario which will be discussed below is not what originally asked, just adding this in case someone use vscode with python extension
In case, you use vs code with its python extension, you might face an issue with its pylint which points to the global installation. In this case, pylint won't be able to see the modules that are installed in your virtual environment and hence will show errors while importing.
Here is a simple method to get past this.
cd Workspace\Scripts
.\Activate.ps1
code .
We are basically activating the environment first and then invoking vs-code so that pylint starts within the environment and can see all local packages.
In python3.6 I tried
python3 -m venv myenv,
as per the documentation, but it was taking so long. So the very simple and quick command is
python -m venv yourenv
It worked for me on python3.6.
On Mac I had to do the following to get it to work.
mkvirtualenv --python=/usr/bin/python3 YourEnvNameHere
If you install python3 (brew install python3) along with virtualenv burrito, you can then do mkvirtualenv -p $(which python3) env_name
Of course, I know virtualenv burrito is just a wrapper, but it has served me well over the years, reducing some learning curves.
virtualenv --python=/usr/local/bin/python3 <VIRTUAL ENV NAME>
this will add python3
path for your virtual enviroment.
It worked for me
virtualenv --no-site-packages --distribute -p /usr/bin/python3 ~/.virtualenvs/py3
For those having troubles while working with Anaconda3 (Python 3).
You could use
conda create -n name_of_your_virtualenv python=python_version
To activate the environment ( Linux, MacOS)
source activate name_of_your_virtualenv
For Windows
activate name_of_your_virtualenv
I tried all the above stuff, it still didn't work. So as a brute force, I just re-installed the anaconda, re-installed the virtualenv... and it worked.
Amans-MacBook-Pro:~ amanmadan$ pip install virtualenv
You are using pip version 6.1.1, however version 8.1.2 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Collecting virtualenv
Downloading virtualenv-15.0.3-py2.py3-none-any.whl (3.5MB)
100% |████████████████████████████████| 3.5MB 114kB/s
Installing collected packages: virtualenv
Successfully installed virtualenv-15.0.3
Amans-MacBook-Pro:python amanmadan$ virtualenv my_env
New python executable in /Users/amanmadan/Documents/HadoopStuff/python/my_env/bin/python
Installing setuptools, pip, wheel...done.
Amans-MacBook-Pro:python amanmadan$
I wanted to keep python 2.7.5 as default version on Centos 7 but have python 3.6.1 in a virtual environment running alongside other virtual environments in python 2.x
I found the below link the best solution for the newest python version ( python 3.6.1)
https://www.digitalocean.com/community/tutorial_series/how-to-install-and-set-up-a-local-programming-environment-for-python-3.
It shows the steps for different platforms but the basic steps are
Install python3.x (if not present) for your platform
Install python3.x-devel for your platform
Create virtual environment in python 3.x
(for example $ python3.6 -m venv virenv_test_p3/ )
Activate the testenvironment for python 3.x
(for example source virenv_test_p3/bin/activate)
Install the packages which you want to use in your new python 3 virtual environment and which are supported ( for example pip install Django==1.11.2)
On Windows command line, the following worked for me. First find out where your python executables are located:
where python
This will output the paths to the different python.exe on your system. Here were mine:
C:\Users\carandangc\Anaconda3\python.exe
C:\Python27\python.exe
So for Python3, this was located in the first path for me, so I cd to the root folder of the application where I want to create a virtual environment folder. Then I run the following which includes the path to my Python3 executable, naming my virtual environment 'venv':
virtualenv --python=/Users/carandangc/Anaconda3/python.exe venv
Next, activate the virtual environment:
call venv\Scripts\activate.bat
Finally, install the dependencies for this virtual environment:
pip install -r requirements.txt
This requirements.txt could be populated manually if you know the libraries/modules needed for your application in the virtual environment. If you had the application running in another environment, then you can automatically produce the dependencies by running the following (cd to the application folder in the environment where it is working):
pip freeze > requirements.txt
Then once you have the requirements.txt that you have 'frozen', then you can install the requirements on another machine or clean environment with the following (after cd to the application folder):
pip install -r requirements.txt
To see your python version in the virtual environment, run:
python --version
Then voila...you have your Python3 running in your virtual environment. Output for me:
Python 3.7.2
For those of you who are using pipenv and want to install specific version:
pipenv install --python 3.6
I got the same error due to it being a conflict with miniconda3 install so when you type "which virtualenv" and if you've installed miniconda and it's pointing to that install you can either remove it (if your like me and haven't moved to it yet) or change your environment variable to point to the install you want.
I recently installed a bunch of dotfiles on my Mac along with some other applications (I changed to iTerm instead of Terminal, and Sublime as my default text editor) but ever since, all my virtual environments have stopped working, although their folders inside .virtualenvs are still there and they give the following error whenever I try to run anything in them:
dyld: Library not loaded: #executable_path/../.Python
Referenced from: /Users/[user]/.virtualenvs/modclass/bin/python
Reason: image not found
Trace/BPT trap: 5
I have removed all the files related to dotfiles and have restored my .bash_profile to what it was before, but the problem persists. Is there any way to diagnose the problem or solve it in an easy way (e.g. not requiring to create all the virtualenvs all over again)?
I found the solution to the problem here, so all credit goes to the author.
The gist is that when you create a virtualenv, many symlinks are created to the Homebrew installed Python.
Here is one example:
$ ls -la ~/.virtualenvs/my-virtual-env
...
lrwxr-xr-x 1 ryan staff 78 Jun 25 13:21 .Python -> /usr/local/Cellar/python/2.7.7/Frameworks/Python.framework/Versions/2.7/Python
...
When you upgrade Python using Homebrew and then run brew cleanup, the symlinks in the virtualenv point to paths that no longer exist (because Homebrew deleted them).
The symlinks needs to point to the newly installed Python:
lrwxr-xr-x 1 ryan staff 78 Jun 25 13:21 .Python -> /usr/local/Cellar/python/2.7.8_1/Frameworks/Python.framework/Versions/2.7/Python
The solution is to remove the symlinks in the virtualenv and then recreate them:
find ~/.virtualenvs/my-virtual-env/ -type l -delete
virtualenv ~/.virtualenvs/my-virtual-env
It's probably best to check what links will be deleted first before deleting them:
find ~/.virtualenvs/my-virtual-env/ -type l
In my opinion, it's even better to only delete broken symlinks. You can do this using GNU find:
gfind ~/.virtualenvs/my-virtual-env/ -type l -xtype l -delete
You can install GNU find with Homebrew if you don't already have it:
brew install findutils
Notice that by default, GNU programs installed with Homebrew tend to be prefixed with the letter g. This is to avoid shadowing the find binary that ships with OS X.
After trying a few things, this worked for me:
go to your virtualenv directory (but don't run workon):
cd ~/.virtualenv/name_of_broken_venv
Now delete these files:
rm -rf .Python bin/python* lib/python2.7/* include/python2.7
Then to rebuild your venv, run:
virtualenv .
workon name_of_broken_venv
pip freeze
You should now see a list of your installed packages again.
This occurred when I updated to Mac OS X Mavericks from Snow Leopard. I had to re-install brew beforehand too. Hopefully you ran the freeze command for your project with pip.
To resolve, you have to update the paths that the virtual environment points to.
Install a version of python with brew:
brew install python
Re-install virtualenvwrapper.
pip install --upgrade virtualenvwrapper
Removed the old virtual environment:
rmvirtualenv old_project
Create a new virtual environment:
mkvirtualenv new_project
Work on new virtual environment
workon new_project
Use pip to install the requirements for the new project.
pip install -r requirements.txt
This should leave the project as it was before.
A update version #Chris Wedgwood's answer for keeping site-packages (keeping packages installed)
cd ~/.virtualenv/name_of_broken_venv
mv lib/python2.7/site-packages ./
rm -rf .Python bin lib include
virtualenv .
rm -rf lib/python2.7/site-packages
mv ./site-packages lib/python2.7/
It appears the proper way to resolve this issue is to run
pip install --upgrade virtualenv
after you have upgraded python with Homebrew.
This should be a general procedure for any formula that installs something like python, which has it's own package management system. When you install brew install python, you install python and pip and easy_install and virtualenv and so on. So, if those tools can be self-updated, it's best to try to do so before looking to Homebrew as the source of problems.
If this was caused by a brew upgrade that upgraded its Python, and you're ok with downgrading to the previous version, try brew switch python [previous version], eg brew switch python 3.6.5. From here.
Anyone who is using pipenv (and you should!) can simply use these two commands — without having the venv activated:
rm -rf `pipenv --venv` # remove the broken venv
pipenv install --dev # reinstall the venv from pipfile
virtualenvwrapper instructions
As indicated in the accepted answer, the root cause is likely a homebrew update that means your virtualenv symlinks are pointing at broken python paths - see details here.
For each virtual env, you need to reassign the symlinks to point at the correct python path (in brew cellar). Here is how to do it with virtualenvwrapper. Here I am updating a virtual env called "my-example-env".
cd ~/PYTHON_ENVS
find ./my-example-env -type l -delete
mkvirtualenv my-example-env
All done.
If you've busted python3 just try brew upgrade python3 that fixed it for me.
I recently faced this. None of the above solutions worked for me. Seems it wasn't actually Python's problem. When I was running aws s3 ls I was getting following error: dyld: Library not loaded: #executable_path/../.Python
This means, the library aws executable is pointing towards is either doesn't exist or is corrupted, thus I uninstalled and reinstalled aws-cli following instructions from this link and it worked!!
The problem for me(a MacOS user) is that brew updated the Python and virtualenvs links to the old version which was deleted.
We can check and fix it by
>> ls -al ~/.virtualenvs/<your-virtual-env>/.Python
.Python -> /usr/local/Cellar/python/<old-version>/Frameworks/Python.framework/Versions/3.7/Python
>> rm ~/.virtualenvs/<your-virtual-env>/.Python
>> ln -s /usr/local/Cellar/python/<new-version>/Frameworks/Python.framework/Versions/3.7/Python ~/.virtualenvs/<your-virtual-env>/.Python
I had a similar issue and i solved it by just rebuilding the virtual environment with virtualenv .
Using Python 2.7.10.
A single command virtualenv path-to-env does it. documentation
$ virtualenv path-to-env
Overwriting path-to-env/lib/python2.7/orig-prefix.txt with new content
New python executable in path-to-env/bin/python2.7
Also creating executable in path-to-env/bin/python
Installing setuptools, pip, wheel...done.
I had a broken virtual env due to a Homebrew reinstall of python (thereby broken symlinks) and also a few "sudo pip install"s I had done earlier. Weizhong's tips were very helpful in fixing the issues without having to reinstall packages. I also had to do the following for the mixed permissions problem.
sudo chown -R my_username lib/python2.7/site-packages
Virtualenvs are broken. Sometimes simple way is to delete venv folders and recreate virutalenvs.
If you using pipenv, just doing pipenv --rm solves the problem.
The accepted answer does not work for me: the file $WORKON_HOME/*/bin/python2.7 is no longer a symlink, it is a full-fledged executable:
$ file $WORKON_HOME/*/bin/python2.7
/Users/sds/.virtualenvs/.../bin/python2.7: Mach-O 64-bit executable x86_64
...
The solution is, alas, to completely remove and re-create from scratch all the virtual environments.
For the reference:
deactivate
pip install --user virtualenv virtualenvwrapper
pip install --user --upgrade virtualenv virtualenvwrapper
for ve in $(lsvirtualenv -b); do
# assume that each VE is associated with a project
# and the project has the requirements.txt file
project=$(cat $WORKON_HOME/$ve/.project)
rmvirtualenv $ve
mkvirtualenv -a $project -r requirements.txt $ve
done
Simply upgrading python3 worked for me:
brew upgrade python3
I tried the top few methods, but they didn't work, for me, which were trying to make tox work. What eventually worked was:
sudo pip install tox
even if tox was already installed. The output terminated with:
Successfully built filelock
Installing collected packages: py, pluggy, toml, filelock, tox
Successfully installed filelock-3.0.10 pluggy-0.11.0 py-1.8.0 toml-0.10.0 tox-3.9.0
What fixed it for me was just uninstalling python3 and pipenv then reinstalling them.
brew uninstall pipenv
brew uninstall python3
brew install python3
brew install pipenv
All the answers are great here, I tried a couple of solutions mentioned above by Ryan, Chris and couldn't resolve the issue, so had to follow a quick and dirty way.
rm -rf <project dir> (or mv <project dir> <backup projct dir> if you want to keep a backup)
git clone <project git url>
Move on!
Nothing novel here, but it makes life easier!
I am sure I am late to the party but I want to say that the resolution of this problem is much simpler than discussed here.
You can easily regenerate the virtual environment without having to delete/edit anything. Assuming that your broken environment is called env_to_fix you can just to the following:
mkvirtualenv env_to_fix
This will regenerate the links and fix the environment without the need to dump the current status somewhere and restore it.
I came across the same issue when I was pointing my python run time from 2 to 3 on my mac, pointing the alias python to python 3 path. I then recreate a new virtualenv and re-install those packages i need for my project. For my use case i have had a python program writing to google sheet. Clean up a few packages that are different from python 2 implementation and wa la, things started working again.
I was facing the same issue after upgrading brew on my OSX Catalina.
After trying bunch of stuffs, I find the following is the best and easy solution.
At first, delete the virtual env. (Optional)
find myvirtualenv -type l -delete
then recreate a new virtualenv
virtualenv myvirtualenv
Reference: https://www.jeremycade.com/python/osx/homebrew/2015/03/02/fixing-virtualenv-after-a-python-upgrade/
So there are many ways but one which worked for me is as follows since I already had my requirements.txt file freeze.
So delete old virtual environment with following command
use
deactivate
cd ..
rm -r old_virtual_environment
to install virtualenv python package with pip
use pip install virtualenv
then check if it's installed correctly
use virtualenv --version
jump to your project directory
use cd project_directory
now create new virtual environment inside project directory using following
use virtualenv name_of_new_virtual_environment
now activate newly created virtual environment
use source name_of_new_virtual_environment/bin/activate
now install all project dependencies using following command
use pip install -r requirements.txt
When you are running into this issue on a freshly created virtualenv, it might be that your python version installed by brew is "unlinked".
You can fix this for example by running: brew link python#3.8
(but specify your speficic python version)
You can also run brew doctor, it will tell you if you have unlinked stuff and how to fix this.
Short Question
What is the proper way to install pip, virtualenv, and distribute?
Background
In my answer to SO question 4314376, I recommended using ez_setup so that you could then install pip and virtualenv as follows:
curl -O http://peak.telecommunity.com/dist/ez_setup.py
sudo python ez_setup.py
sudo easy_install pip
sudo pip install virtualenv
I originally pulled these instructions from Jesse Noller's blog post So you want to use Python on the Mac?. I like the idea of keeping a clean global site-packages directory, so the only other packages I install there are virtualenvwrapper and distribute. (I recently added distribute to my toolbox because of this Python public service announcement. To install these two packages, I used:
sudo pip install virtualenvwrapper
curl -O http://python-distribute.org/distribute_setup.py
sudo python distribute_setup.py
No more setuptools and easy_install
To really follow that Python public service announcement, on a fresh Python install, I would do the following:
curl -O http://python-distribute.org/distribute_setup.py
sudo python distribute_setup.py
sudo easy_install pip
sudo pip install virtualenv
sudo pip install virtualenvwrapper
Glyph's Rebuke
In a comment to my answer to SO question 4314376, SO user Glyph stated:
NO. NEVER EVER do sudo python setup.py install whatever. Write a ~/.pydistutils.cfg that puts your pip installation into ~/.local or something. Especially files named ez_setup.py tend to suck down newer versions of things like setuptools and easy_install, which can potentially break other things on your operating system.
Back to the short question
So Glyph's response leads me to my original question:
What is the proper way to install pip, virtualenv, and distribute?
You can do this without installing anything into python itself.
You don't need sudo or any privileges.
You don't need to edit any files.
Install virtualenv into a bootstrap virtual environment. Use the that virtual environment to create more. Since virtualenv ships with pip and distribute, you get everything from one install.
Download virtualenv:
http://pypi.python.org/pypi/virtualenv
https://pypi.python.org/packages/source/v/virtualenv/virtualenv-12.0.7.tar.gz
(or whatever is the latest version!)
Unpack the source tarball
Use the unpacked tarball to create a clean virtual environment. This virtual environment will be used to "bootstrap" others. All of your virtual environments will automatically contain pip and distribute.
Using pip, install virtualenv into that bootstrap environment.
Use that bootstrap environment to create more!
Here is an example in bash:
# Select current version of virtualenv:
VERSION=12.0.7
# Name your first "bootstrap" environment:
INITIAL_ENV=bootstrap
# Set to whatever python interpreter you want for your first environment:
PYTHON=$(which python)
URL_BASE=https://pypi.python.org/packages/source/v/virtualenv
# --- Real work starts here ---
curl -O $URL_BASE/virtualenv-$VERSION.tar.gz
tar xzf virtualenv-$VERSION.tar.gz
# Create the first "bootstrap" environment.
$PYTHON virtualenv-$VERSION/virtualenv.py $INITIAL_ENV
# Don't need this anymore.
rm -rf virtualenv-$VERSION
# Install virtualenv into the environment.
$INITIAL_ENV/bin/pip install virtualenv-$VERSION.tar.gz
Now you can use your "bootstrap" environment to create more:
# Create a second environment from the first:
$INITIAL_ENV/bin/virtualenv py-env1
# Create more:
$INITIAL_ENV/bin/virtualenv py-env2
Go nuts!
Note
This assumes you are not using a really old version of virtualenv.
Old versions required the flags --no-site-packges (and depending on the version of Python, --distribute). Now you can create your bootstrap environment with just python virtualenv.py path-to-bootstrap or python3 virtualenv.py path-to-bootstrap.
I think Glyph means do something like this:
Create a directory ~/.local, if it doesn't already exist.
In your ~/.bashrc, ensure that ~/.local/bin is on PATH and that ~/.local is on PYTHONPATH.
Create a file ~/.pydistutils.cfg which contains
[install]
prefix=~/.local
It's a standard ConfigParser-format file.
Download distribute_setup.py and run python distribute_setup.py (no sudo). If it complains about a non-existing site-packages directory, create it manually:
mkdir -p ~/.local/lib/python2.7/site-packages/
Run which easy_install to verify that it's coming from ~/.local/bin
Run pip install virtualenv
Run pip install virtualenvwrapper
Create a virtual env containing folder, say ~/.virtualenvs
In ~/.bashrc add
export WORKON_HOME
source ~/.local/bin/virtualenvwrapper.sh
That's it, no use of sudo at all and your Python environment is in ~/.local, completely separate from the OS's Python. Disclaimer: Not sure how compatible virtualenvwrapper is in this scenario - I couldn't test it on my system :-)
If you follow the steps advised in several tutorials I linked in this answer, you
can get the desired effect without the somewhat complicated "manual" steps in Walker's and Vinay's answers. If you're on Ubuntu:
sudo apt-get install python-pip python-dev
The equivalent is achieved in OS X by using homebrew to install python (more details here).
brew install python
With pip installed, you can use it to get the remaining packages (you can omit sudo in OS X, as you're using your local python installation).
sudo pip install virtualenvwrapper
(these are the only packages you need installed globally and I doubt that it will clash with anything system-level from the OS. If you want to be super-safe, you can keep the distro's versions sudo apt-get install virtualenvwrapper)
Note: in Ubuntu 14.04 I receive some errors with pip install, so I use pip3 install virtualenv virtualenvwrapper and add VIRTUALENVWRAPPER_PYTHON=/usr/bin/python3 to my .bashrc/.zshrc file.
You then append to your .bashrc file
export WORKON_HOME
source /usr/local/bin/virtualenvwrapper.sh
and source it
. ~/.bashrc
This is basically it. Now the only decision is whether you want to create a virtualenv to include system-level packages
mkvirtualenv --system-site-packages foo
where your existing system packages don't have to be reinstalled, they are symlinked to the system interpreter's versions. Note: you can still install new packages and upgrade existing included-from-system packages without sudo - I tested it and it works without any disruptions of the system interpreter.
kermit#hocus-pocus:~$ sudo apt-get install python-pandas
kermit#hocus-pocus:~$ mkvirtualenv --system-site-packages s
(s)kermit#hocus-pocus:~$ pip install --upgrade pandas
(s)kermit#hocus-pocus:~$ python -c "import pandas; print(pandas.__version__)"
0.10.1
(s)kermit#hocus-pocus:~$ deactivate
kermit#hocus-pocus:~$ python -c "import pandas; print(pandas.__version__)"
0.8.0
The alternative, if you want a completely separated environment, is
mkvirtualenv --no-site-packages bar
or given that this is the default option, simply
mkvirtualenv bar
The result is that you have a new virtualenv where you can freely and sudolessly install your favourite packages
pip install flask
Python 3.4 onward
Python 3.3 adds the venv module, and Python 3.4 adds the ensurepip module. This makes bootstrapping pip as easy as:
python -m ensurepip
Perhaps preceded by a call to venv to do so inside a virtual environment.
Guaranteed pip is described in PEP 453.
On Ubuntu:
sudo apt-get install python-virtualenv
The package python-pip is a dependency, so it will be installed as well.
I made this procedure for us to use at work.
cd ~
curl -s https://pypi.python.org/packages/source/p/pip/pip-1.3.1.tar.gz | tar xvz
cd pip-1.3.1
python setup.py install --user
cd ~
rm -rf pip-1.3.1
$HOME/.local/bin/pip install --user --upgrade pip distribute virtualenvwrapper
# Might want these three in your .bashrc
export PATH=$PATH:$HOME/.local/bin
export VIRTUALENVWRAPPER_VIRTUALENV_ARGS="--distribute"
source $HOME/.local/bin/virtualenvwrapper.sh
mkvirtualenv mypy
workon mypy
pip install --upgrade distribute
pip install pudb # Or whatever other nice package you might want.
Key points for the security minded:
curl does ssl validation. wget doesn't.
Starting from pip 1.3.1, pip also does ssl validation.
Fewer users can upload the pypi tarball than a github tarball.
Update: As of July 2013 this project is no longer maintained. The author suggests using pyenv. (pyenv does not have built-in support for virtualenv, but plays nice with it.)
Pythonbrew is a version manager for python and comes with support for virtualenv.
After installing pythonbrew and a python-version using venvs is really easy:
# Initializes the virtualenv
pythonbrew venv init
# Create a virtual/sandboxed environment
pythonbrew venv create mycoolbundle
# Use it
pythonbrew venv use mycoolbundle
I've had various problems (see below) installing upgraded SSL modules, even inside a virtualenv, on top of older OS-provided Python versions, so I now use pyenv.
pyenv makes it very easy to install new Python versions and supports virtualenvs. Getting started is much easier than the recipes for virtualenv listed in other answers:
On Mac, type brew install pyenv and on Linux, use pyenv-installer
this gets you built-in virtualenv support as well as Python version switching (if required)
works well with Python 2 or 3, can have many versions installed at once
This works very well to insulate the "new Python" version and virtualenv from system Python. Because you can easily use a more recent Python (post 2.7.9), the SSL modules are already upgraded, and of course like any modern virtualenv setup you are insulated from the system Python modules.
A couple of nice tutorials:
Using pyenv and virtualenv - when selecting a Python version, it's easier to use pyenv global 3.9.1 (global to current user) or pyenv local 3.6.3 (local to current directory).
pyenv basics and use with virtualenv
The pyenv-virtualenv plugin is now built in - type pyenv commands | grep virtualenv to check. I wouldn't use the pyenv-virtualenvwrapper plugin to start with - see how you get on with pyenv-virtualenv which is more integrated into pyenv, as this covers most of what virtualenvwrapper does.
pyenv is modelled on rbenv (a good tool for Ruby version switching) and its only dependency is bash.
pyenv is unrelated to the very similarly named pyvenv - that is a virtualenv equivalent that's part of recent Python 3 versions, and doesn't handle Python version switching
Caveats
Two warnings about pyenv:
It only works from a bash or similar shell - or more specifically, the pyenv-virtualenv plugin doesn't like dash, which is /bin/sh on Ubuntu or Debian.
It must be run from an interactive login shell (e.g. bash --login using a terminal), which is not always easy to achieve with automation tools such as Ansible.
Hence pyenv is best for interactive use, and less good for scripting servers.
Older distributions - SSL module problems
One reason to use pyenv was that there were often problems with upgrading Python SSL modules when using older system-provided Python versions. This may be less of a problem now that current Linux distributions support Python 3.x.
There is no problem to do sudo python setup.py install, if you're sure it's what you want to do.
The difference is that it will use the site-packages directory of your OS as a destination for .py files to be copied.
so, if you want pip to be accessible os wide, that's probably the way to go. I do not say that others way are bad, but this is probably fair enough.
Install ActivePython. It includes pip, virtualenv and Distribute.
I came across the same problem recently. I’m becoming more partial to the “always use a virtualenv” mindset, so my problem was to install virtualenv with pip without installing distribute to my global or user site-packages directory. To do this, I manually downloaded distribute, pip and virtualenv, and for each one I ran “python setup.py install --prefix ~/.local/python-private” (with a temporary setting of PYTHONPATH=~/.local/python-private) so that setup scripts were able to find distribute). I’ve moved the virtualenv script to another directory I have on my PATH and edited it so that the distribute and virtualenv modules can be found on sys.path. Tada: I did not install anything to /usr, /usr/local or my user site-packages dir, but I can run virtualenv anywhere, and in that virtualenv I get pip.
The good news is if you have installed python3.4, pyvenv is already been installed. So, Just
pyvenv project_dir
source project_dir/bin/activate
python --version
python 3.4.*
Now in this virtual env, you can use pip to install modules for this project.
Leave this virtual env , just
deactivate
You can do this without installing anything into python itself.
You don't need sudo or any privileges.
You don't need to find the latest version of a virtualenv tar file
You don't need to edit version info in a bash script to keep things up-to-date.
You don't need curl/wget or tar installed, nor pip or easy_install
this works for 2.7 as well as for 3.X
Save the following to /tmp/initvenv.py:
from __future__ import print_function
import os, sys, shutil, tempfile, subprocess, tarfile, hashlib
try:
from urllib2 import urlopen
except ImportError:
from urllib.request import urlopen
tmp_dir = tempfile.mkdtemp(prefix='initvenv_')
try:
# read the latest version from PyPI
f = urlopen("https://pypi.python.org/pypi/virtualenv/")
# retrieve the .tar.gz file
tar_found = False
url = None
sha256 = None
for line in f.read().splitlines():
if isinstance(line, bytes):
line = line.decode('utf-8')
if tar_found:
if 'sha256' in line:
sha256 = line.split('data-clipboard-text')[1].split('"')[1]
break
continue
if not tar_found and 'tar.gz">' not in line:
continue
tar_found = True
for url in line.split('"'):
if url.startswith('https'):
break
else:
print('tar.gz not found')
sys.exit(1)
file_name = url.rsplit('/', 1)[1]
print(file_name)
os.chdir(tmp_dir)
data = urlopen(url).read()
data_sha256 = hashlib.sha256(data).hexdigest()
if sha256 != data_sha256:
print('sha256 not correct')
print(sha256)
print(data_sha256)
sys.exit(1)
with open(file_name, 'wb') as fp:
fp.write(data)
tar = tarfile.open(file_name)
tar.extractall()
tar.close()
os.chdir(file_name.replace('.tar.gz', ''))
print(subprocess.check_output([sys.executable, 'virtualenv.py'] +
[sys.argv[1]]).decode('utf-8'), end='')
if len(sys.argv) > 2:
print(subprocess.check_output([
os.path.join(sys.argv[1], 'bin', 'pip'), 'install', 'virtualenv'] +
sys.argv[2:]).decode('utf-8'), end='')
except:
raise
finally:
shutil.rmtree(tmp_dir) # always clean up
and use it as
python_binary_to_use_in_venv /tmp/initvenv.py your_venv_name [optional packages]
e.g. (if you really need the distribute compatibility layer for setuptools)
python /tmp/initvenv.py venv distribute
Please note that, with older python versions, this might give you InsecurePlatformWarnings¹.
Once you have your virtualenv (name e.g. venv) you can setup another virtualenv by using the virtualenv just installed:
venv/bin/virtualenv venv2
###virtualenvwrapper
I recommend taking a look at virtualenvwrapper as well, after a one time setup:
% /opt/python/2.7.10/bin/python /tmp/initvenv.py venv virtualenvwrapper
and activation (can be done from your login script):
% source venv/bin/virtualenvwrapper.sh
you can do things like:
% mktmpenv
New python executable in tmp-17bdc3054a46b2b/bin/python
Installing setuptools, pip, wheel...done.
This is a temporary environment. It will be deleted when you run 'deactivate'.
(tmp-17bdc3054a46b2b)%
¹ I have not found a way to suppress the warning. It could be solved in pip and/or request, but the developers point to each other as the cause. I got the, often non-realistic, recommendation to upgrade the python version I was using to the latest version. I am sure this would break e.g my Linux Mint 17 install. Fortunately pip caches packages, so the Warning is made
only once per package install.
There are good instructions on the Virtualenv official site. https://pypi.python.org/pypi/virtualenv
Basically what I did, is install pip with sudo easy_install pip, then used sudo pip install virtualenv then created an environment with: virtualenv my_env (name it what you want), following that I did: virtualenv --distribute my_env; which installed distribute and pip in my virtualenv.
Again, follow the instruction on the virtualenv page.
Kind of a hassle, coming from Ruby ;P
Here is a nice way to install virtualenvwrapper(update of this).
Download virtualenv-1.11.4 (you can find latest at here), Unzip it, open terminal
# Create a bootstrapenv and activate it:
$ cd ~
$ python <path to unzipped folder>/virtualenv.py bootstrapenv
$ source bootstrapenv/bin/activate
# Install virtualenvwrapper:
$ pip install virtualenvwrapper
$ mkdir -p ~/bootstrapenv/Envs
# append it to file `.bashrc`
$ vi ~/.bashrc
source ~/bootstrapenv/bin/activate
export WORKON_HOME=~/bootstrapenv/Envs
source ~/bootstrapenv/bin/virtualenvwrapper.sh
# run it now.
$ source ~/.bashrc
That is it, now you can use mkvirtualenv env1, lsvirtualenv ..etc
Note: you can delete virtualenv-1.11.4 and virtualenv-1.11.4.zip from Downloads folders.
I have easy_install and pip.
I had many errors on my Linux Mint 12, I just re-installed it and I want to install everything from scratch again.
This is one of the errors that I had. I received an interesting answer there:
Stop using su and sudo to run virtualenv.
You need to run virtualenv as your normal user.
You have created the virtualenv with sudo which is why you are getting these errors.
So how to install virtualenv without using sudo? Can i use pipor easy_install without using sudo? Or is there another way?
This solution is suitable in cases where no virtualenv is available system wide and you can not become root to install virtualenv. When I set up a debian for python development or deployment I always apt-get install python-virtualenv. It is more convenient to have it around than to do the bootstrap pointed out below. But without root power it may be the the way to go:
There is a bootstrap mechanism that should get you going.
Read: http://peak.telecommunity.com/DevCenter/EasyInstall#creating-a-virtual-python
In essence you would do this in your home directory in a unix environment:
Given your python is version 2.6
$ mkdir ~/bin
$ mkdir -p ~/lib/python2.6
$ mkdir -p ~/local/lib/python2.6/dist-packages
$ wget http://peak.telecommunity.com/dist/virtual-python.py
$ python virtual-python.py --no-site-packages
$ wget http://peak.telecommunity.com/dist/ez_setup.py
$ ~/bin/python ez_setup.py
$ ~/local/bin/easy_install virtualenv
$ ~/local/bin/virtualenv --no-site-packages thereyouare
There may be room for optimization. I don't like the local path. Just bin and lib would be nice. But it does its job.
You can also use the command below, it worked for me without sudo access.
You may also need to modify your PYTHONPATH environment variable using export, see this SO answer for more details.
pip install --user virtualenv
The general idea is to install virtualenv itself globaly, i.e. sudo easy_install virtualenv or sudo pip install virtualenv, but then create the actual virtual environment ("run virtualenv") locally.
http://opensourcehacker.com/2012/09/16/recommended-way-for-sudo-free-installation-of-python-software-with-virtualenv/ suggests the following:
curl -L -o virtualenv.py https://raw.githubusercontent.com/pypa/virtualenv/master/virtualenv.py
python virtualenv.py vvv-venv
. vvv-venv/bin/activate
pip install vvv
It seems to work well. It lets me install https://github.com/miohtama/vvv with pip.
If you get:
Cannot find sdist setuptools-*.tar.gz
Cannot find sdist pip-*.tar.gz
Try --extra-search-dir after downloading the tarballs at https://github.com/pypa/virtualenv/tree/develop/virtualenv_support
This worked for me:
pip install --target=$HOME/virtualenv/ virtualenv
cd somewhere/
python $HOME/virtualenv/virtualenv.py env
. env/bin/activate
Now I can pip install whatever I want (except for everything that needs to compile stuff with gcc and has missing dependencies such as the python development libraries and Python.h).
Basically the idea is to install virtualenv (or any other python package) into ${HOME}/.local. This is the most appropriate location since it is included into python path by default (and not only Python).
That you do by pip3 install virtualenv --prefix=${HOME}/.local (you may need to expand ${HOME}).
Make sure that you have export PATH=${HOME}/.local/bin:${PATH} in your ~/.profile (you may need to source ~/.profile it if just added)
I've created a "portable" version of virtualenv.
wget https://bitbucket.org/techtonik/locally/raw/tip/06.get-virtualenv.py
python 06.get-virtualenv.py
It downloads virtualenv.py script with dependencies into .locally subdir and executes it from there. Once that's done, the script with .locally/ subdir can be copied anywhere.
I solved my problem installing virtualenv for each user.
python3 -m pip install --user virtualenv
You might want to consider using Anaconda. It's a full-fledged Python distribution, that lives in a folder in e.g. your home directory. No sudo is necessary at any point and you get most of the popular packages.
$ wget https://.../Anaconda2-2.5.0-Linux-x86_64.sh # check the website for the exact URL, it can change
$ bash Anaconda2-2.5.0-Linux-x86_64.sh
$ conda install virtualenv
The easiest way I have seen so far is to install Anaconda.
It may be an overkill for you. For me the centOS running on the remote server had only python2.6 installed. Anaconda by default installs everything locally + it is python2.7
curl -O https://repo.continuum.io/archive/Anaconda2-4.2.0-Linux-x86_64.sh
Then
bash Anaconda2-4.2.0-Linux-x86_64.sh
Boom. You have all the packages like numpy and pip installed.
Then if you want virtualenv, just type
pip install virtualenv
sudo virtualenv -p python myenv1
sudo su
source myenv1/bin/activate
pip install mypackage
this is will install inside virtual environment
The lack of sudo is a common situation in many shared remote server.
It turns out, there is a simpler, lightweight, more secure solution. Just download an official "portable" virtualenv from here: https://bootstrap.pypa.io/virtualenv.pyz
And that is it! You can now run python virtualenv.pyz --help to your heart's content.
Official document: https://virtualenv.pypa.io/en/latest/installation.html#via-zipapp
Short Question
What is the proper way to install pip, virtualenv, and distribute?
Background
In my answer to SO question 4314376, I recommended using ez_setup so that you could then install pip and virtualenv as follows:
curl -O http://peak.telecommunity.com/dist/ez_setup.py
sudo python ez_setup.py
sudo easy_install pip
sudo pip install virtualenv
I originally pulled these instructions from Jesse Noller's blog post So you want to use Python on the Mac?. I like the idea of keeping a clean global site-packages directory, so the only other packages I install there are virtualenvwrapper and distribute. (I recently added distribute to my toolbox because of this Python public service announcement. To install these two packages, I used:
sudo pip install virtualenvwrapper
curl -O http://python-distribute.org/distribute_setup.py
sudo python distribute_setup.py
No more setuptools and easy_install
To really follow that Python public service announcement, on a fresh Python install, I would do the following:
curl -O http://python-distribute.org/distribute_setup.py
sudo python distribute_setup.py
sudo easy_install pip
sudo pip install virtualenv
sudo pip install virtualenvwrapper
Glyph's Rebuke
In a comment to my answer to SO question 4314376, SO user Glyph stated:
NO. NEVER EVER do sudo python setup.py install whatever. Write a ~/.pydistutils.cfg that puts your pip installation into ~/.local or something. Especially files named ez_setup.py tend to suck down newer versions of things like setuptools and easy_install, which can potentially break other things on your operating system.
Back to the short question
So Glyph's response leads me to my original question:
What is the proper way to install pip, virtualenv, and distribute?
You can do this without installing anything into python itself.
You don't need sudo or any privileges.
You don't need to edit any files.
Install virtualenv into a bootstrap virtual environment. Use the that virtual environment to create more. Since virtualenv ships with pip and distribute, you get everything from one install.
Download virtualenv:
http://pypi.python.org/pypi/virtualenv
https://pypi.python.org/packages/source/v/virtualenv/virtualenv-12.0.7.tar.gz
(or whatever is the latest version!)
Unpack the source tarball
Use the unpacked tarball to create a clean virtual environment. This virtual environment will be used to "bootstrap" others. All of your virtual environments will automatically contain pip and distribute.
Using pip, install virtualenv into that bootstrap environment.
Use that bootstrap environment to create more!
Here is an example in bash:
# Select current version of virtualenv:
VERSION=12.0.7
# Name your first "bootstrap" environment:
INITIAL_ENV=bootstrap
# Set to whatever python interpreter you want for your first environment:
PYTHON=$(which python)
URL_BASE=https://pypi.python.org/packages/source/v/virtualenv
# --- Real work starts here ---
curl -O $URL_BASE/virtualenv-$VERSION.tar.gz
tar xzf virtualenv-$VERSION.tar.gz
# Create the first "bootstrap" environment.
$PYTHON virtualenv-$VERSION/virtualenv.py $INITIAL_ENV
# Don't need this anymore.
rm -rf virtualenv-$VERSION
# Install virtualenv into the environment.
$INITIAL_ENV/bin/pip install virtualenv-$VERSION.tar.gz
Now you can use your "bootstrap" environment to create more:
# Create a second environment from the first:
$INITIAL_ENV/bin/virtualenv py-env1
# Create more:
$INITIAL_ENV/bin/virtualenv py-env2
Go nuts!
Note
This assumes you are not using a really old version of virtualenv.
Old versions required the flags --no-site-packges (and depending on the version of Python, --distribute). Now you can create your bootstrap environment with just python virtualenv.py path-to-bootstrap or python3 virtualenv.py path-to-bootstrap.
I think Glyph means do something like this:
Create a directory ~/.local, if it doesn't already exist.
In your ~/.bashrc, ensure that ~/.local/bin is on PATH and that ~/.local is on PYTHONPATH.
Create a file ~/.pydistutils.cfg which contains
[install]
prefix=~/.local
It's a standard ConfigParser-format file.
Download distribute_setup.py and run python distribute_setup.py (no sudo). If it complains about a non-existing site-packages directory, create it manually:
mkdir -p ~/.local/lib/python2.7/site-packages/
Run which easy_install to verify that it's coming from ~/.local/bin
Run pip install virtualenv
Run pip install virtualenvwrapper
Create a virtual env containing folder, say ~/.virtualenvs
In ~/.bashrc add
export WORKON_HOME
source ~/.local/bin/virtualenvwrapper.sh
That's it, no use of sudo at all and your Python environment is in ~/.local, completely separate from the OS's Python. Disclaimer: Not sure how compatible virtualenvwrapper is in this scenario - I couldn't test it on my system :-)
If you follow the steps advised in several tutorials I linked in this answer, you
can get the desired effect without the somewhat complicated "manual" steps in Walker's and Vinay's answers. If you're on Ubuntu:
sudo apt-get install python-pip python-dev
The equivalent is achieved in OS X by using homebrew to install python (more details here).
brew install python
With pip installed, you can use it to get the remaining packages (you can omit sudo in OS X, as you're using your local python installation).
sudo pip install virtualenvwrapper
(these are the only packages you need installed globally and I doubt that it will clash with anything system-level from the OS. If you want to be super-safe, you can keep the distro's versions sudo apt-get install virtualenvwrapper)
Note: in Ubuntu 14.04 I receive some errors with pip install, so I use pip3 install virtualenv virtualenvwrapper and add VIRTUALENVWRAPPER_PYTHON=/usr/bin/python3 to my .bashrc/.zshrc file.
You then append to your .bashrc file
export WORKON_HOME
source /usr/local/bin/virtualenvwrapper.sh
and source it
. ~/.bashrc
This is basically it. Now the only decision is whether you want to create a virtualenv to include system-level packages
mkvirtualenv --system-site-packages foo
where your existing system packages don't have to be reinstalled, they are symlinked to the system interpreter's versions. Note: you can still install new packages and upgrade existing included-from-system packages without sudo - I tested it and it works without any disruptions of the system interpreter.
kermit#hocus-pocus:~$ sudo apt-get install python-pandas
kermit#hocus-pocus:~$ mkvirtualenv --system-site-packages s
(s)kermit#hocus-pocus:~$ pip install --upgrade pandas
(s)kermit#hocus-pocus:~$ python -c "import pandas; print(pandas.__version__)"
0.10.1
(s)kermit#hocus-pocus:~$ deactivate
kermit#hocus-pocus:~$ python -c "import pandas; print(pandas.__version__)"
0.8.0
The alternative, if you want a completely separated environment, is
mkvirtualenv --no-site-packages bar
or given that this is the default option, simply
mkvirtualenv bar
The result is that you have a new virtualenv where you can freely and sudolessly install your favourite packages
pip install flask
Python 3.4 onward
Python 3.3 adds the venv module, and Python 3.4 adds the ensurepip module. This makes bootstrapping pip as easy as:
python -m ensurepip
Perhaps preceded by a call to venv to do so inside a virtual environment.
Guaranteed pip is described in PEP 453.
On Ubuntu:
sudo apt-get install python-virtualenv
The package python-pip is a dependency, so it will be installed as well.
I made this procedure for us to use at work.
cd ~
curl -s https://pypi.python.org/packages/source/p/pip/pip-1.3.1.tar.gz | tar xvz
cd pip-1.3.1
python setup.py install --user
cd ~
rm -rf pip-1.3.1
$HOME/.local/bin/pip install --user --upgrade pip distribute virtualenvwrapper
# Might want these three in your .bashrc
export PATH=$PATH:$HOME/.local/bin
export VIRTUALENVWRAPPER_VIRTUALENV_ARGS="--distribute"
source $HOME/.local/bin/virtualenvwrapper.sh
mkvirtualenv mypy
workon mypy
pip install --upgrade distribute
pip install pudb # Or whatever other nice package you might want.
Key points for the security minded:
curl does ssl validation. wget doesn't.
Starting from pip 1.3.1, pip also does ssl validation.
Fewer users can upload the pypi tarball than a github tarball.
Update: As of July 2013 this project is no longer maintained. The author suggests using pyenv. (pyenv does not have built-in support for virtualenv, but plays nice with it.)
Pythonbrew is a version manager for python and comes with support for virtualenv.
After installing pythonbrew and a python-version using venvs is really easy:
# Initializes the virtualenv
pythonbrew venv init
# Create a virtual/sandboxed environment
pythonbrew venv create mycoolbundle
# Use it
pythonbrew venv use mycoolbundle
I've had various problems (see below) installing upgraded SSL modules, even inside a virtualenv, on top of older OS-provided Python versions, so I now use pyenv.
pyenv makes it very easy to install new Python versions and supports virtualenvs. Getting started is much easier than the recipes for virtualenv listed in other answers:
On Mac, type brew install pyenv and on Linux, use pyenv-installer
this gets you built-in virtualenv support as well as Python version switching (if required)
works well with Python 2 or 3, can have many versions installed at once
This works very well to insulate the "new Python" version and virtualenv from system Python. Because you can easily use a more recent Python (post 2.7.9), the SSL modules are already upgraded, and of course like any modern virtualenv setup you are insulated from the system Python modules.
A couple of nice tutorials:
Using pyenv and virtualenv - when selecting a Python version, it's easier to use pyenv global 3.9.1 (global to current user) or pyenv local 3.6.3 (local to current directory).
pyenv basics and use with virtualenv
The pyenv-virtualenv plugin is now built in - type pyenv commands | grep virtualenv to check. I wouldn't use the pyenv-virtualenvwrapper plugin to start with - see how you get on with pyenv-virtualenv which is more integrated into pyenv, as this covers most of what virtualenvwrapper does.
pyenv is modelled on rbenv (a good tool for Ruby version switching) and its only dependency is bash.
pyenv is unrelated to the very similarly named pyvenv - that is a virtualenv equivalent that's part of recent Python 3 versions, and doesn't handle Python version switching
Caveats
Two warnings about pyenv:
It only works from a bash or similar shell - or more specifically, the pyenv-virtualenv plugin doesn't like dash, which is /bin/sh on Ubuntu or Debian.
It must be run from an interactive login shell (e.g. bash --login using a terminal), which is not always easy to achieve with automation tools such as Ansible.
Hence pyenv is best for interactive use, and less good for scripting servers.
Older distributions - SSL module problems
One reason to use pyenv was that there were often problems with upgrading Python SSL modules when using older system-provided Python versions. This may be less of a problem now that current Linux distributions support Python 3.x.
There is no problem to do sudo python setup.py install, if you're sure it's what you want to do.
The difference is that it will use the site-packages directory of your OS as a destination for .py files to be copied.
so, if you want pip to be accessible os wide, that's probably the way to go. I do not say that others way are bad, but this is probably fair enough.
Install ActivePython. It includes pip, virtualenv and Distribute.
I came across the same problem recently. I’m becoming more partial to the “always use a virtualenv” mindset, so my problem was to install virtualenv with pip without installing distribute to my global or user site-packages directory. To do this, I manually downloaded distribute, pip and virtualenv, and for each one I ran “python setup.py install --prefix ~/.local/python-private” (with a temporary setting of PYTHONPATH=~/.local/python-private) so that setup scripts were able to find distribute). I’ve moved the virtualenv script to another directory I have on my PATH and edited it so that the distribute and virtualenv modules can be found on sys.path. Tada: I did not install anything to /usr, /usr/local or my user site-packages dir, but I can run virtualenv anywhere, and in that virtualenv I get pip.
The good news is if you have installed python3.4, pyvenv is already been installed. So, Just
pyvenv project_dir
source project_dir/bin/activate
python --version
python 3.4.*
Now in this virtual env, you can use pip to install modules for this project.
Leave this virtual env , just
deactivate
You can do this without installing anything into python itself.
You don't need sudo or any privileges.
You don't need to find the latest version of a virtualenv tar file
You don't need to edit version info in a bash script to keep things up-to-date.
You don't need curl/wget or tar installed, nor pip or easy_install
this works for 2.7 as well as for 3.X
Save the following to /tmp/initvenv.py:
from __future__ import print_function
import os, sys, shutil, tempfile, subprocess, tarfile, hashlib
try:
from urllib2 import urlopen
except ImportError:
from urllib.request import urlopen
tmp_dir = tempfile.mkdtemp(prefix='initvenv_')
try:
# read the latest version from PyPI
f = urlopen("https://pypi.python.org/pypi/virtualenv/")
# retrieve the .tar.gz file
tar_found = False
url = None
sha256 = None
for line in f.read().splitlines():
if isinstance(line, bytes):
line = line.decode('utf-8')
if tar_found:
if 'sha256' in line:
sha256 = line.split('data-clipboard-text')[1].split('"')[1]
break
continue
if not tar_found and 'tar.gz">' not in line:
continue
tar_found = True
for url in line.split('"'):
if url.startswith('https'):
break
else:
print('tar.gz not found')
sys.exit(1)
file_name = url.rsplit('/', 1)[1]
print(file_name)
os.chdir(tmp_dir)
data = urlopen(url).read()
data_sha256 = hashlib.sha256(data).hexdigest()
if sha256 != data_sha256:
print('sha256 not correct')
print(sha256)
print(data_sha256)
sys.exit(1)
with open(file_name, 'wb') as fp:
fp.write(data)
tar = tarfile.open(file_name)
tar.extractall()
tar.close()
os.chdir(file_name.replace('.tar.gz', ''))
print(subprocess.check_output([sys.executable, 'virtualenv.py'] +
[sys.argv[1]]).decode('utf-8'), end='')
if len(sys.argv) > 2:
print(subprocess.check_output([
os.path.join(sys.argv[1], 'bin', 'pip'), 'install', 'virtualenv'] +
sys.argv[2:]).decode('utf-8'), end='')
except:
raise
finally:
shutil.rmtree(tmp_dir) # always clean up
and use it as
python_binary_to_use_in_venv /tmp/initvenv.py your_venv_name [optional packages]
e.g. (if you really need the distribute compatibility layer for setuptools)
python /tmp/initvenv.py venv distribute
Please note that, with older python versions, this might give you InsecurePlatformWarnings¹.
Once you have your virtualenv (name e.g. venv) you can setup another virtualenv by using the virtualenv just installed:
venv/bin/virtualenv venv2
###virtualenvwrapper
I recommend taking a look at virtualenvwrapper as well, after a one time setup:
% /opt/python/2.7.10/bin/python /tmp/initvenv.py venv virtualenvwrapper
and activation (can be done from your login script):
% source venv/bin/virtualenvwrapper.sh
you can do things like:
% mktmpenv
New python executable in tmp-17bdc3054a46b2b/bin/python
Installing setuptools, pip, wheel...done.
This is a temporary environment. It will be deleted when you run 'deactivate'.
(tmp-17bdc3054a46b2b)%
¹ I have not found a way to suppress the warning. It could be solved in pip and/or request, but the developers point to each other as the cause. I got the, often non-realistic, recommendation to upgrade the python version I was using to the latest version. I am sure this would break e.g my Linux Mint 17 install. Fortunately pip caches packages, so the Warning is made
only once per package install.
There are good instructions on the Virtualenv official site. https://pypi.python.org/pypi/virtualenv
Basically what I did, is install pip with sudo easy_install pip, then used sudo pip install virtualenv then created an environment with: virtualenv my_env (name it what you want), following that I did: virtualenv --distribute my_env; which installed distribute and pip in my virtualenv.
Again, follow the instruction on the virtualenv page.
Kind of a hassle, coming from Ruby ;P
Here is a nice way to install virtualenvwrapper(update of this).
Download virtualenv-1.11.4 (you can find latest at here), Unzip it, open terminal
# Create a bootstrapenv and activate it:
$ cd ~
$ python <path to unzipped folder>/virtualenv.py bootstrapenv
$ source bootstrapenv/bin/activate
# Install virtualenvwrapper:
$ pip install virtualenvwrapper
$ mkdir -p ~/bootstrapenv/Envs
# append it to file `.bashrc`
$ vi ~/.bashrc
source ~/bootstrapenv/bin/activate
export WORKON_HOME=~/bootstrapenv/Envs
source ~/bootstrapenv/bin/virtualenvwrapper.sh
# run it now.
$ source ~/.bashrc
That is it, now you can use mkvirtualenv env1, lsvirtualenv ..etc
Note: you can delete virtualenv-1.11.4 and virtualenv-1.11.4.zip from Downloads folders.