I have a file structure like this:
project_folder/
notebooks/
notebook01.ipynb
notebook02.ipynb
...
notebookXY.ipynb
module01.py
module02.py
module03.py
In .ipynb
files inside notebook/
folder I want to import classes and functions from module01.py, module02.py
and module03.py
.
I have found answer in this question that it is possible using following lines of code inside every notebook and run those lines as first cell every time:
import os
import sys
module_path = os.path.abspath(os.path.join('..'))
if module_path not in sys.path:
sys.path.append(module_path)
Is there please a better way for this? What if I have A LOT of .ipynb
files inside notebooks/
folder, do I have to paste those lines of code at the beginning of every single one? Is there a better, more minimalist or cleaner way?
From Python 3.3, referencing or importing a module in the parent directory is not allowed, From the below example you can clearly understand this.
We can use sys. path to add the path of the new different folder (the folder from where we want to import the modules) to the system path so that Python can also look for the module in that directory if it doesn't find the module in its current directory.
Both ! and % allow you to run shell commands from a Jupyter notebook. % is provided by the IPython kernel and allows you to run "magic commands", many of which include well-known shell commands. ! , provided by Jupyter, allows shell commands to be run within cells.
Another solution is to move all your Python modules (.py files) into a folder and make them an installable package. If you pip
install it into your current environment, you can then import the package into any notebook in that environment, regardless of folder structure.
So in your situation you could have:
project_folder/
notebooks/
notebook01.ipynb
notebook02.ipynb
...
notebookXY.ipynb
my_package/
__init__.py
module01.py
module02.py
module03.py
setup.py
A basic setup.py can be as simple as this:
import setuptools
setuptools.setup(
name="my_package",
version="0.0.1",
description="A small example package",
packages=setuptools.find_packages(),
python_requires='>=3.7',
)
Install it:
cd project_folder
pip install [-e] .
Including the optional -e
flag will install my_package in "editable" mode, meaning that instead of copying the files into your virtual environment, a symlink will be created to the files where they are.
Now in any notebook you can do:
import my_package
Or
from my_package.module01 import <some object>
Try adding the project_folder
to your PYTHONPATH
environment variable. This will allow you to tell python to search that directory for imports.
You would do this in your user profile settings, or in your startup script - not in python. It's something that has to be set before python ever gets run.
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