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Importing project module TO project subdir, WITHOUT relative path
The 2019 Stack Overflow Developer Survey Results Are InGet the source directory of a Bash script from within the script itselfHow to import a module given the full path?Import a module from a relative pathRunning unittest with typical test directory structureHow can I import a C++ python extension into a module in another directory?Relative imports for the billionth timeHow are absolute imports possible from within a subpackage?PyCharm error: 'No Module' when trying to import own module (python script)Importing the current project as a module in pythonCannot import modules in jupyter notebook; wrong sys.pathHow do I import module in jupyter notebook directory into notebooks in lower directories?
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This must have been asked before, but I cannot for the life of me find it.
I have a project structure something like this
ROOT
├── README.md
├── modules
│ ├── __init__.py
│ ├── mod1.py
│ └── mod2.py
├── tests
│ ├── test_mod1.py
│ └── test_mod2.py
├── notebooks
│ ├── nb1.ipynb
│ ├── nb2.ipynb
│ └── sub_dir
│ ├── sub_nb.ipynb
│ ├── generate_py
│ └── py_files
│ └── sub_nb.py
├── definitions
└── main.py
So from main.py I am able to import anything from definitions, or any module from ROOT/modules.
What I want is to be able to import from these from anywhere within the notebooks directory tree. I know I could do this using:
import sys
sys.path.append("..")
But the notebooks directory tree has many layers, and I don't want my code to start looking like this:
import sys
sys.path.append("../../../../")
What's more, the file generate_py is a bash script, that converts the jupyter notebooks (.ipynb) to .py files and stashes the .py files into the ./py_files subdir.
With the above method i end up having to manually edit every file to put an extra ../ into the sys.append(). This is annoying.
If I run files from within pycharm all works well (I'm guessing it updates your PYTHONPATH to include the project root when you create main.py?)
To further complicate, this project is run on several machines, shared via git. So absolute references are out.
But running from terminal, or from within jupyter it cant gind modules, or definitions without going through the sys.append() process. And I feel there must be a better way.
So what is the best practice here?
python import pycharm project directory-structure
asked Mar 8 at 10:47
FinleyGibsonFinleyGibson
19511
add a comment |
This must have been asked before, but I cannot for the life of me find it.
I have a project structure something like this
ROOT
├── README.md
├── modules
│ ├── __init__.py
│ ├── mod1.py
│ └── mod2.py
├── tests
│ ├── test_mod1.py
│ └── test_mod2.py
├── notebooks
│ ├── nb1.ipynb
│ ├── nb2.ipynb
│ └── sub_dir
│ ├── sub_nb.ipynb
│ ├── generate_py
│ └── py_files
│ └── sub_nb.py
├── definitions
└── main.py
So from main.py I am able to import anything from definitions, or any module from ROOT/modules.
What I want is to be able to import from these from anywhere within the notebooks directory tree. I know I could do this using:
import sys
sys.path.append("..")
But the notebooks directory tree has many layers, and I don't want my code to start looking like this:
import sys
sys.path.append("../../../../")
What's more, the file generate_py is a bash script, that converts the jupyter notebooks (.ipynb) to .py files and stashes the .py files into the ./py_files subdir.
With the above method i end up having to manually edit every file to put an extra ../ into the sys.append(). This is annoying.
If I run files from within pycharm all works well (I'm guessing it updates your PYTHONPATH to include the project root when you create main.py?)
To further complicate, this project is run on several machines, shared via git. So absolute references are out.
But running from terminal, or from within jupyter it cant gind modules, or definitions without going through the sys.append() process. And I feel there must be a better way.
So what is the best practice here?
python import pycharm project directory-structure
asked Mar 8 at 10:47
FinleyGibsonFinleyGibson
19511
Instead of adding ROOT to yourPYTHONPATHdynamically in every file, every time it runs, you can add it by modifying the environment variable, i.e. addexport PYTHONPATH="$PYTHONPATH:/path/to/ROOT"to your.bashrcor similar. Since ROOT might be in different locations on different users' machines, you should either have a README telling users to do this, or else asetupshell script which computes the path and does this automatically.
– Phydeaux
Mar 8 at 11:48
I did meangenerate_py.
– FinleyGibson
Mar 8 at 17:01
I did think about editing PYTHONPATH in .bashrc, but it still seems a bit inelegant. I will then forever expose any project I work on to accidentally importing fromdefinitions, when I inevitably forget to remove the line later. I still feel there must be a cleaner way.
– FinleyGibson
Mar 8 at 17:04
You can usevirtualenv(optionally alsovirtualenvwrapperfor a nicer experience) to make an environment on a per-project basis, and add theexport PYTHONPATH...to the environment'sactivatescript instead, to avoid polluting your.bashrc
– Phydeaux
Mar 8 at 17:14
add a comment |
This must have been asked before, but I cannot for the life of me find it.
I have a project structure something like this
ROOT
├── README.md
├── modules
│ ├── __init__.py
│ ├── mod1.py
│ └── mod2.py
├── tests
│ ├── test_mod1.py
│ └── test_mod2.py
├── notebooks
│ ├── nb1.ipynb
│ ├── nb2.ipynb
│ └── sub_dir
│ ├── sub_nb.ipynb
│ ├── generate_py
│ └── py_files
│ └── sub_nb.py
├── definitions
└── main.py
So from main.py I am able to import anything from definitions, or any module from ROOT/modules.
What I want is to be able to import from these from anywhere within the notebooks directory tree. I know I could do this using:
import sys
sys.path.append("..")
But the notebooks directory tree has many layers, and I don't want my code to start looking like this:
import sys
sys.path.append("../../../../")
What's more, the file generate_py is a bash script, that converts the jupyter notebooks (.ipynb) to .py files and stashes the .py files into the ./py_files subdir.
With the above method i end up having to manually edit every file to put an extra ../ into the sys.append(). This is annoying.
If I run files from within pycharm all works well (I'm guessing it updates your PYTHONPATH to include the project root when you create main.py?)
To further complicate, this project is run on several machines, shared via git. So absolute references are out.
But running from terminal, or from within jupyter it cant gind modules, or definitions without going through the sys.append() process. And I feel there must be a better way.
So what is the best practice here?
python import pycharm project directory-structure
asked Mar 8 at 10:47
FinleyGibsonFinleyGibson
19511
This must have been asked before, but I cannot for the life of me find it.
I have a project structure something like this
ROOT
├── README.md
├── modules
│ ├── __init__.py
│ ├── mod1.py
│ └── mod2.py
├── tests
│ ├── test_mod1.py
│ └── test_mod2.py
├── notebooks
│ ├── nb1.ipynb
│ ├── nb2.ipynb
│ └── sub_dir
│ ├── sub_nb.ipynb
│ ├── generate_py
│ └── py_files
│ └── sub_nb.py
├── definitions
└── main.py
So from main.py I am able to import anything from definitions, or any module from ROOT/modules.
What I want is to be able to import from these from anywhere within the notebooks directory tree. I know I could do this using:
import sys
sys.path.append("..")
But the notebooks directory tree has many layers, and I don't want my code to start looking like this:
import sys
sys.path.append("../../../../")
What's more, the file generate_py is a bash script, that converts the jupyter notebooks (.ipynb) to .py files and stashes the .py files into the ./py_files subdir.
With the above method i end up having to manually edit every file to put an extra ../ into the sys.append(). This is annoying.
If I run files from within pycharm all works well (I'm guessing it updates your PYTHONPATH to include the project root when you create main.py?)
To further complicate, this project is run on several machines, shared via git. So absolute references are out.
But running from terminal, or from within jupyter it cant gind modules, or definitions without going through the sys.append() process. And I feel there must be a better way.
So what is the best practice here?
python import pycharm project directory-structure
python import pycharm project directory-structure
asked Mar 8 at 10:47
FinleyGibsonFinleyGibson
19511
asked Mar 8 at 10:47
FinleyGibsonFinleyGibson
19511
edited Mar 8 at 17:06
FinleyGibson
asked Mar 8 at 10:47
FinleyGibsonFinleyGibson
19511
asked Mar 8 at 10:47
FinleyGibsonFinleyGibson
19511
asked Mar 8 at 10:47
FinleyGibsonFinleyGibson
19511
19511
Instead of adding ROOT to yourPYTHONPATHdynamically in every file, every time it runs, you can add it by modifying the environment variable, i.e. addexport PYTHONPATH="$PYTHONPATH:/path/to/ROOT"to your.bashrcor similar. Since ROOT might be in different locations on different users' machines, you should either have a README telling users to do this, or else asetupshell script which computes the path and does this automatically.
– Phydeaux
Mar 8 at 11:48
I did meangenerate_py.
– FinleyGibson
Mar 8 at 17:01
I did think about editing PYTHONPATH in .bashrc, but it still seems a bit inelegant. I will then forever expose any project I work on to accidentally importing fromdefinitions, when I inevitably forget to remove the line later. I still feel there must be a cleaner way.
– FinleyGibson
Mar 8 at 17:04
You can usevirtualenv(optionally alsovirtualenvwrapperfor a nicer experience) to make an environment on a per-project basis, and add theexport PYTHONPATH...to the environment'sactivatescript instead, to avoid polluting your.bashrc
– Phydeaux
Mar 8 at 17:14
add a comment |
Instead of adding ROOT to yourPYTHONPATHdynamically in every file, every time it runs, you can add it by modifying the environment variable, i.e. addexport PYTHONPATH="$PYTHONPATH:/path/to/ROOT"to your.bashrcor similar. Since ROOT might be in different locations on different users' machines, you should either have a README telling users to do this, or else asetupshell script which computes the path and does this automatically.
– Phydeaux
Mar 8 at 11:48
I did meangenerate_py.
– FinleyGibson
Mar 8 at 17:01
I did think about editing PYTHONPATH in .bashrc, but it still seems a bit inelegant. I will then forever expose any project I work on to accidentally importing fromdefinitions, when I inevitably forget to remove the line later. I still feel there must be a cleaner way.
– FinleyGibson
Mar 8 at 17:04
You can usevirtualenv(optionally alsovirtualenvwrapperfor a nicer experience) to make an environment on a per-project basis, and add theexport PYTHONPATH...to the environment'sactivatescript instead, to avoid polluting your.bashrc
– Phydeaux
Mar 8 at 17:14
Instead of adding ROOT to your
PYTHONPATH dynamically in every file, every time it runs, you can add it by modifying the environment variable, i.e. add export PYTHONPATH="$PYTHONPATH:/path/to/ROOT" to your .bashrc or similar. Since ROOT might be in different locations on different users' machines, you should either have a README telling users to do this, or else a setup shell script which computes the path and does this automatically.– Phydeaux
Mar 8 at 11:48
Instead of adding ROOT to your
PYTHONPATH dynamically in every file, every time it runs, you can add it by modifying the environment variable, i.e. add export PYTHONPATH="$PYTHONPATH:/path/to/ROOT" to your .bashrc or similar. Since ROOT might be in different locations on different users' machines, you should either have a README telling users to do this, or else a setup shell script which computes the path and does this automatically.– Phydeaux
Mar 8 at 11:48
I did mean
generate_py.– FinleyGibson
Mar 8 at 17:01
I did mean
generate_py.– FinleyGibson
Mar 8 at 17:01
I did think about editing PYTHONPATH in .bashrc, but it still seems a bit inelegant. I will then forever expose any project I work on to accidentally importing from
definitions, when I inevitably forget to remove the line later. I still feel there must be a cleaner way.– FinleyGibson
Mar 8 at 17:04
I did think about editing PYTHONPATH in .bashrc, but it still seems a bit inelegant. I will then forever expose any project I work on to accidentally importing from
definitions, when I inevitably forget to remove the line later. I still feel there must be a cleaner way.– FinleyGibson
Mar 8 at 17:04
You can use
virtualenv (optionally also virtualenvwrapper for a nicer experience) to make an environment on a per-project basis, and add the export PYTHONPATH... to the environment's activate script instead, to avoid polluting your .bashrc– Phydeaux
Mar 8 at 17:14
You can use
virtualenv (optionally also virtualenvwrapper for a nicer experience) to make an environment on a per-project basis, and add the export PYTHONPATH... to the environment's activate script instead, to avoid polluting your .bashrc– Phydeaux
Mar 8 at 17:14
add a comment |
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Instead of adding ROOT to your
PYTHONPATHdynamically in every file, every time it runs, you can add it by modifying the environment variable, i.e. addexport PYTHONPATH="$PYTHONPATH:/path/to/ROOT"to your.bashrcor similar. Since ROOT might be in different locations on different users' machines, you should either have a README telling users to do this, or else asetupshell script which computes the path and does this automatically.– Phydeaux
Mar 8 at 11:48
I did mean
generate_py.– FinleyGibson
Mar 8 at 17:01
I did think about editing PYTHONPATH in .bashrc, but it still seems a bit inelegant. I will then forever expose any project I work on to accidentally importing from
definitions, when I inevitably forget to remove the line later. I still feel there must be a cleaner way.– FinleyGibson
Mar 8 at 17:04
You can use
virtualenv(optionally alsovirtualenvwrapperfor a nicer experience) to make an environment on a per-project basis, and add theexport PYTHONPATH...to the environment'sactivatescript instead, to avoid polluting your.bashrc– Phydeaux
Mar 8 at 17:14