Force pipenv to create a new virtualenv












1















I installed pip by downloading virtualenv, and creating a bootstrap virtualenv, as described in this answer.



Now I want to try out pipenv, so I used my bootstrap virtualenv to create a new virtualenv and then ran pip install pipenv. Now I can use pipenv, but it sees that it's already running in a virtualenv and doesn't create a new one.



How can I get pipenv to create a new virtualenv so I can have separate virtualenvs for each project? I tried pipenv install -h, but none of the options look promising.






python pip virtualenv pipenv







share|improve this question























  • To separate environments, you just need to run pipenv in other project's directory. Be sure to deactivate your current virtualenv first.

    – Sraw
    Feb 8 '18 at 8:26











  • To clarify, @Sraw, pipenv is only installed in a virtualenv. I don't want to install it in my system Python. I can't deactivate my current virtualenv, because that's where pipenv is installed.

    – Don Kirkby
    Feb 8 '18 at 19:35
















1















I installed pip by downloading virtualenv, and creating a bootstrap virtualenv, as described in this answer.



Now I want to try out pipenv, so I used my bootstrap virtualenv to create a new virtualenv and then ran pip install pipenv. Now I can use pipenv, but it sees that it's already running in a virtualenv and doesn't create a new one.



How can I get pipenv to create a new virtualenv so I can have separate virtualenvs for each project? I tried pipenv install -h, but none of the options look promising.






python pip virtualenv pipenv







share|improve this question























  • To separate environments, you just need to run pipenv in other project's directory. Be sure to deactivate your current virtualenv first.

    – Sraw
    Feb 8 '18 at 8:26











  • To clarify, @Sraw, pipenv is only installed in a virtualenv. I don't want to install it in my system Python. I can't deactivate my current virtualenv, because that's where pipenv is installed.

    – Don Kirkby
    Feb 8 '18 at 19:35














1












1








1


1






I installed pip by downloading virtualenv, and creating a bootstrap virtualenv, as described in this answer.



Now I want to try out pipenv, so I used my bootstrap virtualenv to create a new virtualenv and then ran pip install pipenv. Now I can use pipenv, but it sees that it's already running in a virtualenv and doesn't create a new one.



How can I get pipenv to create a new virtualenv so I can have separate virtualenvs for each project? I tried pipenv install -h, but none of the options look promising.






python pip virtualenv pipenv







share|improve this question














I installed pip by downloading virtualenv, and creating a bootstrap virtualenv, as described in this answer.



Now I want to try out pipenv, so I used my bootstrap virtualenv to create a new virtualenv and then ran pip install pipenv. Now I can use pipenv, but it sees that it's already running in a virtualenv and doesn't create a new one.



How can I get pipenv to create a new virtualenv so I can have separate virtualenvs for each project? I tried pipenv install -h, but none of the options look promising.






python pip virtualenv pipenv




python pip virtualenv pipenv






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Feb 8 '18 at 7:37









Don KirkbyDon Kirkby

27.6k10129206




27.6k10129206













  • To separate environments, you just need to run pipenv in other project's directory. Be sure to deactivate your current virtualenv first.

    – Sraw
    Feb 8 '18 at 8:26











  • To clarify, @Sraw, pipenv is only installed in a virtualenv. I don't want to install it in my system Python. I can't deactivate my current virtualenv, because that's where pipenv is installed.

    – Don Kirkby
    Feb 8 '18 at 19:35



















  • To separate environments, you just need to run pipenv in other project's directory. Be sure to deactivate your current virtualenv first.

    – Sraw
    Feb 8 '18 at 8:26











  • To clarify, @Sraw, pipenv is only installed in a virtualenv. I don't want to install it in my system Python. I can't deactivate my current virtualenv, because that's where pipenv is installed.

    – Don Kirkby
    Feb 8 '18 at 19:35

















To separate environments, you just need to run pipenv in other project's directory. Be sure to deactivate your current virtualenv first.

– Sraw
Feb 8 '18 at 8:26





To separate environments, you just need to run pipenv in other project's directory. Be sure to deactivate your current virtualenv first.

– Sraw
Feb 8 '18 at 8:26













To clarify, @Sraw, pipenv is only installed in a virtualenv. I don't want to install it in my system Python. I can't deactivate my current virtualenv, because that's where pipenv is installed.

– Don Kirkby
Feb 8 '18 at 19:35





To clarify, @Sraw, pipenv is only installed in a virtualenv. I don't want to install it in my system Python. I can't deactivate my current virtualenv, because that's where pipenv is installed.

– Don Kirkby
Feb 8 '18 at 19:35












3 Answers
3






active

oldest

votes


















2














The current documentation makes it sound like you can set the environment variable PIPENV_IGNORE_VIRTUALENVS to avoid reusing an already activated virtualenv:



source ~/some/virtualenv/location/bin/activate

PIPENV_IGNORE_VIRTUALENVS=1 pipenv install


I have to admit that I haven't tried this, though.






share|improve this answer































    1














    If you're in a new project directory, these commands create a new virtualenv using pipenv:



    Create a new virtualenv with python 2:



    pipenv --two


    Create a new virtualenv with python 3:



    pipenv --three


    Create a new virtualenv with an arbitrary python version:



    pipenv --python 3.6.4





    share|improve this answer


























    • That doesn't work for me. I think it's because I've installed pipenv in a virtualenv. It says it's reusing that virtualenv instead of creating a new one. My question is whether I can tell it to create a new one anyway.

      – Don Kirkby
      Feb 11 '18 at 4:37











    • I see what you’re getting at. If you’d like to keep your installation of pipenv separate from system dependencies, but use it to create new virtualenvs, you might try using the fancy installation method in the docs. docs.pipenv.org/install/#fancy-installation-of-pipenv. The suggestion is to install pipenv with pipsi, which puts it into an isolated virtualenv but makes it available as a command globally.

      – philngo
      Feb 11 '18 at 6:45











    • Another option you could use is pipenv install <package> --system, which would tell pipenv to use the current virtualenv (still not creating a separate one), but that would likely require installing pipenv into each new project virtualenv you create. It would, however, let you keep separated virtualenvs for each project. Maybe a trade-off you're willing to make.

      – philngo
      Feb 11 '18 at 6:59





















    0














    It looks like pipenv has gotten smarter about this situation. Here's what worked for me. First, I installed a bootstrap environment following virtualenv's installation documentation to use it locally from source. That way, I don't need to touch the system Python, and I can install pipenv in the bootstrap environment:



    $ curl --location --output virtualenv.tar.gz https://github.com/pypa/virtualenv/tarball/16.1.0
    
$ tar -xzf virtualenv.tar.gz
    
$ python pypa-virtualenv-4ad2742/src/virtualenv.py vbootstrap
    
$ rm -r virtualenv.tar.gz pypa-virtualenv-4ad2742/
    
$ vbootstrap/bin/pip install pipenv


    Then I created a new project folder, and used pipenv to install numpy:



    $ mkdir my_project
    
$ cd my_project
    
$ ../vbootstrap/bin/pipenv install numpy
    
Creating a virtualenv for this project...
    
Pipfile: /home/vagrant/my_project/Pipfile
    
Using /home/vagrant/vbootstrap/bin/python (2.7.15rc1) to create virtualenv...
    
✔ Complete 
    
Already using interpreter /home/vagrant/vbootstrap/bin/python
    
Using real prefix '/usr'
    
New python executable in /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_/bin/python
    
Installing setuptools, pip, wheel...
    
done.
    
Virtualenv location: /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_
    
Creating a Pipfile for this project...
    
Installing numpy...
    
Adding numpy to Pipfile's [packages]...
    
✔ Installation Succeeded 
    
Pipfile.lock not found, creating...
    
Locking [dev-packages] dependencies...
    
Locking [packages] dependencies...
    
✔ Success! 
    
Updated Pipfile.lock (57a39c)!
    
Installing dependencies from Pipfile.lock (57a39c)...
    
  🐍   ▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉ 1/1 — 00:00:00
    
To activate this project's virtualenv, run pipenv shell.
    
Alternatively, run a command inside the virtualenv with pipenv run.


    To make it easier to use, I created a symbolic link:



    $ ln -s ~/vbootstrap/bin/pipenv ~/pipenv
    
$ ~/pipenv shell
    
Launching subshell in virtual environment...
    
vagrant@vagrant:~/my_project$  . /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_/bin/activate
    
(my_project) $





    share|improve this answer

























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      3 Answers
      3






      active

      oldest

      votes








      3 Answers
      3






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      2














      The current documentation makes it sound like you can set the environment variable PIPENV_IGNORE_VIRTUALENVS to avoid reusing an already activated virtualenv:



      source ~/some/virtualenv/location/bin/activate
      
PIPENV_IGNORE_VIRTUALENVS=1 pipenv install


      I have to admit that I haven't tried this, though.






      share|improve this answer




























        2














        The current documentation makes it sound like you can set the environment variable PIPENV_IGNORE_VIRTUALENVS to avoid reusing an already activated virtualenv:



        source ~/some/virtualenv/location/bin/activate
        
PIPENV_IGNORE_VIRTUALENVS=1 pipenv install


        I have to admit that I haven't tried this, though.






        share|improve this answer


























          2












          2








          2







          The current documentation makes it sound like you can set the environment variable PIPENV_IGNORE_VIRTUALENVS to avoid reusing an already activated virtualenv:



          source ~/some/virtualenv/location/bin/activate
          
PIPENV_IGNORE_VIRTUALENVS=1 pipenv install


          I have to admit that I haven't tried this, though.






          share|improve this answer













          The current documentation makes it sound like you can set the environment variable PIPENV_IGNORE_VIRTUALENVS to avoid reusing an already activated virtualenv:



          source ~/some/virtualenv/location/bin/activate
          
PIPENV_IGNORE_VIRTUALENVS=1 pipenv install


          I have to admit that I haven't tried this, though.







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Mar 13 '18 at 14:08









          karlsonkarlson

          3,23422049




          3,23422049

























              1














              If you're in a new project directory, these commands create a new virtualenv using pipenv:



              Create a new virtualenv with python 2:



              pipenv --two


              Create a new virtualenv with python 3:



              pipenv --three


              Create a new virtualenv with an arbitrary python version:



              pipenv --python 3.6.4





              share|improve this answer


























              • That doesn't work for me. I think it's because I've installed pipenv in a virtualenv. It says it's reusing that virtualenv instead of creating a new one. My question is whether I can tell it to create a new one anyway.

                – Don Kirkby
                Feb 11 '18 at 4:37











              • I see what you’re getting at. If you’d like to keep your installation of pipenv separate from system dependencies, but use it to create new virtualenvs, you might try using the fancy installation method in the docs. docs.pipenv.org/install/#fancy-installation-of-pipenv. The suggestion is to install pipenv with pipsi, which puts it into an isolated virtualenv but makes it available as a command globally.

                – philngo
                Feb 11 '18 at 6:45











              • Another option you could use is pipenv install <package> --system, which would tell pipenv to use the current virtualenv (still not creating a separate one), but that would likely require installing pipenv into each new project virtualenv you create. It would, however, let you keep separated virtualenvs for each project. Maybe a trade-off you're willing to make.

                – philngo
                Feb 11 '18 at 6:59


















              1














              If you're in a new project directory, these commands create a new virtualenv using pipenv:



              Create a new virtualenv with python 2:



              pipenv --two


              Create a new virtualenv with python 3:



              pipenv --three


              Create a new virtualenv with an arbitrary python version:



              pipenv --python 3.6.4





              share|improve this answer


























              • That doesn't work for me. I think it's because I've installed pipenv in a virtualenv. It says it's reusing that virtualenv instead of creating a new one. My question is whether I can tell it to create a new one anyway.

                – Don Kirkby
                Feb 11 '18 at 4:37











              • I see what you’re getting at. If you’d like to keep your installation of pipenv separate from system dependencies, but use it to create new virtualenvs, you might try using the fancy installation method in the docs. docs.pipenv.org/install/#fancy-installation-of-pipenv. The suggestion is to install pipenv with pipsi, which puts it into an isolated virtualenv but makes it available as a command globally.

                – philngo
                Feb 11 '18 at 6:45











              • Another option you could use is pipenv install <package> --system, which would tell pipenv to use the current virtualenv (still not creating a separate one), but that would likely require installing pipenv into each new project virtualenv you create. It would, however, let you keep separated virtualenvs for each project. Maybe a trade-off you're willing to make.

                – philngo
                Feb 11 '18 at 6:59
















              1












              1








              1







              If you're in a new project directory, these commands create a new virtualenv using pipenv:



              Create a new virtualenv with python 2:



              pipenv --two


              Create a new virtualenv with python 3:



              pipenv --three


              Create a new virtualenv with an arbitrary python version:



              pipenv --python 3.6.4





              share|improve this answer















              If you're in a new project directory, these commands create a new virtualenv using pipenv:



              Create a new virtualenv with python 2:



              pipenv --two


              Create a new virtualenv with python 3:



              pipenv --three


              Create a new virtualenv with an arbitrary python version:



              pipenv --python 3.6.4






              share|improve this answer














              share|improve this answer



              share|improve this answer








              edited Feb 10 '18 at 18:16

























              answered Feb 10 '18 at 17:19









              philngophilngo

              485311




              485311













              • That doesn't work for me. I think it's because I've installed pipenv in a virtualenv. It says it's reusing that virtualenv instead of creating a new one. My question is whether I can tell it to create a new one anyway.

                – Don Kirkby
                Feb 11 '18 at 4:37











              • I see what you’re getting at. If you’d like to keep your installation of pipenv separate from system dependencies, but use it to create new virtualenvs, you might try using the fancy installation method in the docs. docs.pipenv.org/install/#fancy-installation-of-pipenv. The suggestion is to install pipenv with pipsi, which puts it into an isolated virtualenv but makes it available as a command globally.

                – philngo
                Feb 11 '18 at 6:45











              • Another option you could use is pipenv install <package> --system, which would tell pipenv to use the current virtualenv (still not creating a separate one), but that would likely require installing pipenv into each new project virtualenv you create. It would, however, let you keep separated virtualenvs for each project. Maybe a trade-off you're willing to make.

                – philngo
                Feb 11 '18 at 6:59





















              • That doesn't work for me. I think it's because I've installed pipenv in a virtualenv. It says it's reusing that virtualenv instead of creating a new one. My question is whether I can tell it to create a new one anyway.

                – Don Kirkby
                Feb 11 '18 at 4:37











              • I see what you’re getting at. If you’d like to keep your installation of pipenv separate from system dependencies, but use it to create new virtualenvs, you might try using the fancy installation method in the docs. docs.pipenv.org/install/#fancy-installation-of-pipenv. The suggestion is to install pipenv with pipsi, which puts it into an isolated virtualenv but makes it available as a command globally.

                – philngo
                Feb 11 '18 at 6:45











              • Another option you could use is pipenv install <package> --system, which would tell pipenv to use the current virtualenv (still not creating a separate one), but that would likely require installing pipenv into each new project virtualenv you create. It would, however, let you keep separated virtualenvs for each project. Maybe a trade-off you're willing to make.

                – philngo
                Feb 11 '18 at 6:59



















              That doesn't work for me. I think it's because I've installed pipenv in a virtualenv. It says it's reusing that virtualenv instead of creating a new one. My question is whether I can tell it to create a new one anyway.

              – Don Kirkby
              Feb 11 '18 at 4:37





              That doesn't work for me. I think it's because I've installed pipenv in a virtualenv. It says it's reusing that virtualenv instead of creating a new one. My question is whether I can tell it to create a new one anyway.

              – Don Kirkby
              Feb 11 '18 at 4:37













              I see what you’re getting at. If you’d like to keep your installation of pipenv separate from system dependencies, but use it to create new virtualenvs, you might try using the fancy installation method in the docs. docs.pipenv.org/install/#fancy-installation-of-pipenv. The suggestion is to install pipenv with pipsi, which puts it into an isolated virtualenv but makes it available as a command globally.

              – philngo
              Feb 11 '18 at 6:45





              I see what you’re getting at. If you’d like to keep your installation of pipenv separate from system dependencies, but use it to create new virtualenvs, you might try using the fancy installation method in the docs. docs.pipenv.org/install/#fancy-installation-of-pipenv. The suggestion is to install pipenv with pipsi, which puts it into an isolated virtualenv but makes it available as a command globally.

              – philngo
              Feb 11 '18 at 6:45













              Another option you could use is pipenv install <package> --system, which would tell pipenv to use the current virtualenv (still not creating a separate one), but that would likely require installing pipenv into each new project virtualenv you create. It would, however, let you keep separated virtualenvs for each project. Maybe a trade-off you're willing to make.

              – philngo
              Feb 11 '18 at 6:59







              Another option you could use is pipenv install <package> --system, which would tell pipenv to use the current virtualenv (still not creating a separate one), but that would likely require installing pipenv into each new project virtualenv you create. It would, however, let you keep separated virtualenvs for each project. Maybe a trade-off you're willing to make.

              – philngo
              Feb 11 '18 at 6:59













              0














              It looks like pipenv has gotten smarter about this situation. Here's what worked for me. First, I installed a bootstrap environment following virtualenv's installation documentation to use it locally from source. That way, I don't need to touch the system Python, and I can install pipenv in the bootstrap environment:



              $ curl --location --output virtualenv.tar.gz https://github.com/pypa/virtualenv/tarball/16.1.0
              
$ tar -xzf virtualenv.tar.gz
              
$ python pypa-virtualenv-4ad2742/src/virtualenv.py vbootstrap
              
$ rm -r virtualenv.tar.gz pypa-virtualenv-4ad2742/
              
$ vbootstrap/bin/pip install pipenv


              Then I created a new project folder, and used pipenv to install numpy:



              $ mkdir my_project
              
$ cd my_project
              
$ ../vbootstrap/bin/pipenv install numpy
              
Creating a virtualenv for this project...
              
Pipfile: /home/vagrant/my_project/Pipfile
              
Using /home/vagrant/vbootstrap/bin/python (2.7.15rc1) to create virtualenv...
              
✔ Complete 
              
Already using interpreter /home/vagrant/vbootstrap/bin/python
              
Using real prefix '/usr'
              
New python executable in /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_/bin/python
              
Installing setuptools, pip, wheel...
              
done.
              
Virtualenv location: /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_
              
Creating a Pipfile for this project...
              
Installing numpy...
              
Adding numpy to Pipfile's [packages]...
              
✔ Installation Succeeded 
              
Pipfile.lock not found, creating...
              
Locking [dev-packages] dependencies...
              
Locking [packages] dependencies...
              
✔ Success! 
              
Updated Pipfile.lock (57a39c)!
              
Installing dependencies from Pipfile.lock (57a39c)...
              
  🐍   ▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉ 1/1 — 00:00:00
              
To activate this project's virtualenv, run pipenv shell.
              
Alternatively, run a command inside the virtualenv with pipenv run.


              To make it easier to use, I created a symbolic link:



              $ ln -s ~/vbootstrap/bin/pipenv ~/pipenv
              
$ ~/pipenv shell
              
Launching subshell in virtual environment...
              
vagrant@vagrant:~/my_project$  . /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_/bin/activate
              
(my_project) $





              share|improve this answer






























                0














                It looks like pipenv has gotten smarter about this situation. Here's what worked for me. First, I installed a bootstrap environment following virtualenv's installation documentation to use it locally from source. That way, I don't need to touch the system Python, and I can install pipenv in the bootstrap environment:



                $ curl --location --output virtualenv.tar.gz https://github.com/pypa/virtualenv/tarball/16.1.0
                
$ tar -xzf virtualenv.tar.gz
                
$ python pypa-virtualenv-4ad2742/src/virtualenv.py vbootstrap
                
$ rm -r virtualenv.tar.gz pypa-virtualenv-4ad2742/
                
$ vbootstrap/bin/pip install pipenv


                Then I created a new project folder, and used pipenv to install numpy:



                $ mkdir my_project
                
$ cd my_project
                
$ ../vbootstrap/bin/pipenv install numpy
                
Creating a virtualenv for this project...
                
Pipfile: /home/vagrant/my_project/Pipfile
                
Using /home/vagrant/vbootstrap/bin/python (2.7.15rc1) to create virtualenv...
                
✔ Complete 
                
Already using interpreter /home/vagrant/vbootstrap/bin/python
                
Using real prefix '/usr'
                
New python executable in /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_/bin/python
                
Installing setuptools, pip, wheel...
                
done.
                
Virtualenv location: /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_
                
Creating a Pipfile for this project...
                
Installing numpy...
                
Adding numpy to Pipfile's [packages]...
                
✔ Installation Succeeded 
                
Pipfile.lock not found, creating...
                
Locking [dev-packages] dependencies...
                
Locking [packages] dependencies...
                
✔ Success! 
                
Updated Pipfile.lock (57a39c)!
                
Installing dependencies from Pipfile.lock (57a39c)...
                
  🐍   ▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉ 1/1 — 00:00:00
                
To activate this project's virtualenv, run pipenv shell.
                
Alternatively, run a command inside the virtualenv with pipenv run.


                To make it easier to use, I created a symbolic link:



                $ ln -s ~/vbootstrap/bin/pipenv ~/pipenv
                
$ ~/pipenv shell
                
Launching subshell in virtual environment...
                
vagrant@vagrant:~/my_project$  . /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_/bin/activate
                
(my_project) $





                share|improve this answer




























                  0












                  0








                  0







                  It looks like pipenv has gotten smarter about this situation. Here's what worked for me. First, I installed a bootstrap environment following virtualenv's installation documentation to use it locally from source. That way, I don't need to touch the system Python, and I can install pipenv in the bootstrap environment:



                  $ curl --location --output virtualenv.tar.gz https://github.com/pypa/virtualenv/tarball/16.1.0
                  
$ tar -xzf virtualenv.tar.gz
                  
$ python pypa-virtualenv-4ad2742/src/virtualenv.py vbootstrap
                  
$ rm -r virtualenv.tar.gz pypa-virtualenv-4ad2742/
                  
$ vbootstrap/bin/pip install pipenv


                  Then I created a new project folder, and used pipenv to install numpy:



                  $ mkdir my_project
                  
$ cd my_project
                  
$ ../vbootstrap/bin/pipenv install numpy
                  
Creating a virtualenv for this project...
                  
Pipfile: /home/vagrant/my_project/Pipfile
                  
Using /home/vagrant/vbootstrap/bin/python (2.7.15rc1) to create virtualenv...
                  
✔ Complete 
                  
Already using interpreter /home/vagrant/vbootstrap/bin/python
                  
Using real prefix '/usr'
                  
New python executable in /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_/bin/python
                  
Installing setuptools, pip, wheel...
                  
done.
                  
Virtualenv location: /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_
                  
Creating a Pipfile for this project...
                  
Installing numpy...
                  
Adding numpy to Pipfile's [packages]...
                  
✔ Installation Succeeded 
                  
Pipfile.lock not found, creating...
                  
Locking [dev-packages] dependencies...
                  
Locking [packages] dependencies...
                  
✔ Success! 
                  
Updated Pipfile.lock (57a39c)!
                  
Installing dependencies from Pipfile.lock (57a39c)...
                  
  🐍   ▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉ 1/1 — 00:00:00
                  
To activate this project's virtualenv, run pipenv shell.
                  
Alternatively, run a command inside the virtualenv with pipenv run.


                  To make it easier to use, I created a symbolic link:



                  $ ln -s ~/vbootstrap/bin/pipenv ~/pipenv
                  
$ ~/pipenv shell
                  
Launching subshell in virtual environment...
                  
vagrant@vagrant:~/my_project$  . /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_/bin/activate
                  
(my_project) $





                  share|improve this answer















                  It looks like pipenv has gotten smarter about this situation. Here's what worked for me. First, I installed a bootstrap environment following virtualenv's installation documentation to use it locally from source. That way, I don't need to touch the system Python, and I can install pipenv in the bootstrap environment:



                  $ curl --location --output virtualenv.tar.gz https://github.com/pypa/virtualenv/tarball/16.1.0
                  
$ tar -xzf virtualenv.tar.gz
                  
$ python pypa-virtualenv-4ad2742/src/virtualenv.py vbootstrap
                  
$ rm -r virtualenv.tar.gz pypa-virtualenv-4ad2742/
                  
$ vbootstrap/bin/pip install pipenv


                  Then I created a new project folder, and used pipenv to install numpy:



                  $ mkdir my_project
                  
$ cd my_project
                  
$ ../vbootstrap/bin/pipenv install numpy
                  
Creating a virtualenv for this project...
                  
Pipfile: /home/vagrant/my_project/Pipfile
                  
Using /home/vagrant/vbootstrap/bin/python (2.7.15rc1) to create virtualenv...
                  
✔ Complete 
                  
Already using interpreter /home/vagrant/vbootstrap/bin/python
                  
Using real prefix '/usr'
                  
New python executable in /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_/bin/python
                  
Installing setuptools, pip, wheel...
                  
done.
                  
Virtualenv location: /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_
                  
Creating a Pipfile for this project...
                  
Installing numpy...
                  
Adding numpy to Pipfile's [packages]...
                  
✔ Installation Succeeded 
                  
Pipfile.lock not found, creating...
                  
Locking [dev-packages] dependencies...
                  
Locking [packages] dependencies...
                  
✔ Success! 
                  
Updated Pipfile.lock (57a39c)!
                  
Installing dependencies from Pipfile.lock (57a39c)...
                  
  🐍   ▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉▉ 1/1 — 00:00:00
                  
To activate this project's virtualenv, run pipenv shell.
                  
Alternatively, run a command inside the virtualenv with pipenv run.


                  To make it easier to use, I created a symbolic link:



                  $ ln -s ~/vbootstrap/bin/pipenv ~/pipenv
                  
$ ~/pipenv shell
                  
Launching subshell in virtual environment...
                  
vagrant@vagrant:~/my_project$  . /home/vagrant/.local/share/virtualenvs/my_project-KmT425B_/bin/activate
                  
(my_project) $






                  share|improve this answer














                  share|improve this answer



                  share|improve this answer








                  edited Dec 8 '18 at 5:17

























                  answered Nov 24 '18 at 0:35









                  Don KirkbyDon Kirkby

                  27.6k10129206




                  27.6k10129206






























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