Import local function from a module housed in another directory with relative imports in Jupyter Notebook using Python 3

I have a directory structure similar to the following

meta_project
    project1
        __init__.py
        lib
            module.py
            __init__.py
    notebook_folder
        notebook.jpynb

When working in notebook.jpynb if I try to use a relative import to access a function function() in module.py with:

from ..project1.lib.module import function

I get the following error:

SystemError                               Traceback (most recent call last)
<ipython-input-7-6393744d93ab> in <module>()
----> 1 from ..project1.lib.module import function

SystemError: Parent module '' not loaded, cannot perform relative import

Is there any way to get this to work using relative imports?

Note, the notebook server is instantiated at the level of the meta_project directory, so it should have access to the information in those files.

Note, also, that at least as originally intended project1 wasn't thought of as a module and therefore does not have an __init__.py file, it was just meant as a file-system directory. If the solution to the problem requires treating it as a module and including an __init__.py file (even a blank one) that is fine, but doing so is not enough to solve the problem.

I share this directory between machines and relative imports allow me to use the same code everywhere, & I often use notebooks for quick prototyping, so suggestions that involve hacking together absolute paths are unlikely to be helpful.

Edit: This is unlike Relative imports in Python 3, which talks about relative imports in Python 3 in general and – in particular – running a script from within a package directory. This has to do with working within a jupyter notebook trying to call a function in a local module in another directory which has both different general and particular aspects.

I had almost the same example as you in this notebook where I wanted to illustrate the usage of an adjacent module's function in a DRY manner.

My solution was to tell Python of that additional module import path by adding a snippet like this one to the notebook:

import os
import sys
module_path = os.path.abspath(os.path.join('..'))
if module_path not in sys.path:
    sys.path.append(module_path)

This allows you to import the desired function from the module hierarchy:

from project1.lib.module import function
# use the function normally
function(...)

Note that it is necessary to add empty __init__.py files to project1/ and lib/ folders if you don't have them already.

Came here searching for best practices in abstracting code to submodules when working in Notebooks. I'm not sure that there is a best practice. I have been proposing this.

A project hierarchy as such:

├── ipynb
│   ├── 20170609-Examine_Database_Requirements.ipynb
│   └── 20170609-Initial_Database_Connection.ipynb
└── lib
    ├── __init__.py
    └── postgres.py

And from 20170609-Initial_Database_Connection.ipynb:

    In [1]: cd ..

    In [2]: from lib.postgres import database_connection

This works because by default the Jupyter Notebook can parse the cd command. Note that this does not make use of Python Notebook magic. It simply works without prepending %bash.

Considering that 99 times out of a 100 I am working in Docker using one of the Project Jupyter Docker images, the following modification is idempotent

    In [1]: cd /home/jovyan

    In [2]: from lib.postgres import database_connection

So far, the accepted answer has worked best for me. However, my concern has always been that there is a likely scenario where I might refactor the notebooks directory into subdirectories, requiring to change the module_path in every notebook. I decided to add a python file within each notebook directory to import the required modules.

Thus, having the following project structure:

project
|__notebooks
   |__explore
      |__ notebook1.ipynb
      |__ notebook2.ipynb
      |__ project_path.py
   |__ explain
       |__notebook1.ipynb
       |__project_path.py
|__lib
   |__ __init__.py
   |__ module.py

I added the file project_path.py in each notebook subdirectory (notebooks/explore and notebooks/explain). This file contains the code for relative imports (from @metakermit):

import sys
import os

module_path = os.path.abspath(os.path.join(os.pardir, os.pardir))
if module_path not in sys.path:
    sys.path.append(module_path)

This way, I just need to do relative imports within the project_path.py file, and not in the notebooks. The notebooks files would then just need to import project_path before importing lib. For example in 0.0-notebook.ipynb:

import project_path
import lib

The caveat here is that reversing the imports would not work. THIS DOES NOT WORK:

import lib
import project_path

Thus care must be taken during imports.

All other answers here depends on adding code the the notebook(!)

In my opinion is bad practice to hardcode a specific path into the notebook code, or otherwise depend on the location, since this makes it really hard to refactor you code later on. Instead I would recommend you to add the root project folder to PYTHONPATH when starting up your Jupyter notebook server, either directly from the project folder like so

env PYTHONPATH=`pwd` jupyter notebook

or if you are starting it up from somewhere else, use the absolute path like so

env PYTHONPATH=/Users/foo/bar/project/ jupyter notebook