Adding own files/packages to a custom anaconda environment
I have a custom anaconda environment which I am using to run a program which is dependent on files in another directory. How do I add these files to the environment like I would do with a system interpreter by adding the paths to PYTHONPATH variable in system variables?
python-3.x environment-variables anaconda python-import pythonpath
asked Nov 24 '18 at 21:27
Mahir SowadMahir Sowad
114
add a comment |
I have a custom anaconda environment which I am using to run a program which is dependent on files in another directory. How do I add these files to the environment like I would do with a system interpreter by adding the paths to PYTHONPATH variable in system variables?
python-3.x environment-variables anaconda python-import pythonpath
asked Nov 24 '18 at 21:27
Mahir SowadMahir Sowad
114
add a comment |
I have a custom anaconda environment which I am using to run a program which is dependent on files in another directory. How do I add these files to the environment like I would do with a system interpreter by adding the paths to PYTHONPATH variable in system variables?
python-3.x environment-variables anaconda python-import pythonpath
asked Nov 24 '18 at 21:27
Mahir SowadMahir Sowad
114
I have a custom anaconda environment which I am using to run a program which is dependent on files in another directory. How do I add these files to the environment like I would do with a system interpreter by adding the paths to PYTHONPATH variable in system variables?
python-3.x environment-variables anaconda python-import pythonpath
python-3.x environment-variables anaconda python-import pythonpath
asked Nov 24 '18 at 21:27
Mahir SowadMahir Sowad
114
asked Nov 24 '18 at 21:27
Mahir SowadMahir Sowad
114
asked Nov 24 '18 at 21:27
Mahir SowadMahir Sowad
114
asked Nov 24 '18 at 21:27
Mahir SowadMahir Sowad
114
asked Nov 24 '18 at 21:27
Mahir SowadMahir Sowad
114
114
add a comment |
add a comment |
1 Answer
1
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I did not need to add the custom files to the virtual environment configuration. I was using the Pycharm Python editor and found a better workaround by adding the paths to the selected interpreter (which in this case was the interpreter for the virtual python environment that I was using).
- Go to
File—>Settings—>Project: Project name—>Project Interpreter
- Next to the project interpreter, click the little gear icon.
- Click on
Show all.A window should pop-up. - On the right side of the window, there’s a toolbar containing 5 options starting with the plus icon.
- Click on the last icon with the file symbol. Another window should open.
- Here click on the plus symbol on the top right toolbar.
- Go to the directory that you want to include to use in your code and click Ok to add them to the interpreter path.
- Repeat for any other directories or files that you may need to have.
This solution with Pycharm worked out pretty well for me since I only needed to reference those files on my computer for that particular project.
answered Dec 27 '18 at 22:35
Mahir SowadMahir Sowad
114
add a comment |
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1 Answer
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active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
I did not need to add the custom files to the virtual environment configuration. I was using the Pycharm Python editor and found a better workaround by adding the paths to the selected interpreter (which in this case was the interpreter for the virtual python environment that I was using).
- Go to
File—>Settings—>Project: Project name—>Project Interpreter
- Next to the project interpreter, click the little gear icon.
- Click on
Show all.A window should pop-up. - On the right side of the window, there’s a toolbar containing 5 options starting with the plus icon.
- Click on the last icon with the file symbol. Another window should open.
- Here click on the plus symbol on the top right toolbar.
- Go to the directory that you want to include to use in your code and click Ok to add them to the interpreter path.
- Repeat for any other directories or files that you may need to have.
This solution with Pycharm worked out pretty well for me since I only needed to reference those files on my computer for that particular project.
answered Dec 27 '18 at 22:35
Mahir SowadMahir Sowad
114
add a comment |
I did not need to add the custom files to the virtual environment configuration. I was using the Pycharm Python editor and found a better workaround by adding the paths to the selected interpreter (which in this case was the interpreter for the virtual python environment that I was using).
- Go to
File—>Settings—>Project: Project name—>Project Interpreter
- Next to the project interpreter, click the little gear icon.
- Click on
Show all.A window should pop-up. - On the right side of the window, there’s a toolbar containing 5 options starting with the plus icon.
- Click on the last icon with the file symbol. Another window should open.
- Here click on the plus symbol on the top right toolbar.
- Go to the directory that you want to include to use in your code and click Ok to add them to the interpreter path.
- Repeat for any other directories or files that you may need to have.
This solution with Pycharm worked out pretty well for me since I only needed to reference those files on my computer for that particular project.
answered Dec 27 '18 at 22:35
Mahir SowadMahir Sowad
114
add a comment |
I did not need to add the custom files to the virtual environment configuration. I was using the Pycharm Python editor and found a better workaround by adding the paths to the selected interpreter (which in this case was the interpreter for the virtual python environment that I was using).
- Go to
File—>Settings—>Project: Project name—>Project Interpreter
- Next to the project interpreter, click the little gear icon.
- Click on
Show all.A window should pop-up. - On the right side of the window, there’s a toolbar containing 5 options starting with the plus icon.
- Click on the last icon with the file symbol. Another window should open.
- Here click on the plus symbol on the top right toolbar.
- Go to the directory that you want to include to use in your code and click Ok to add them to the interpreter path.
- Repeat for any other directories or files that you may need to have.
This solution with Pycharm worked out pretty well for me since I only needed to reference those files on my computer for that particular project.
answered Dec 27 '18 at 22:35
Mahir SowadMahir Sowad
114
I did not need to add the custom files to the virtual environment configuration. I was using the Pycharm Python editor and found a better workaround by adding the paths to the selected interpreter (which in this case was the interpreter for the virtual python environment that I was using).
- Go to
File—>Settings—>Project: Project name—>Project Interpreter
- Next to the project interpreter, click the little gear icon.
- Click on
Show all.A window should pop-up. - On the right side of the window, there’s a toolbar containing 5 options starting with the plus icon.
- Click on the last icon with the file symbol. Another window should open.
- Here click on the plus symbol on the top right toolbar.
- Go to the directory that you want to include to use in your code and click Ok to add them to the interpreter path.
- Repeat for any other directories or files that you may need to have.
This solution with Pycharm worked out pretty well for me since I only needed to reference those files on my computer for that particular project.
answered Dec 27 '18 at 22:35
Mahir SowadMahir Sowad
114
answered Dec 27 '18 at 22:35
Mahir SowadMahir Sowad
114
answered Dec 27 '18 at 22:35
Mahir SowadMahir Sowad
114
answered Dec 27 '18 at 22:35
Mahir SowadMahir Sowad
114
114
add a comment |
add a comment |
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