Importing an ipynb file from another ipynb file?

It is really simple in newer Jupyter:

%run MyOtherNotebook.ipynb

See here for details.

Official docs: %run IPython magic command

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Install my helper library from the command prompt:

pip install import-ipynb

Import it from your notebook:

import import_ipynb

Now import your .ipynb notebook as if it was a .py file

import TheOtherNotebook

This python-ipynb module is just one file and it strictly adheres to the official howto on the jupyter site.

PS It also supports things like from A import foo, from A import * etc

PPS Works with subdirectories: import A.B

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Run

!pip install ipynb

and then import the other notebook as

from ipynb.fs.full.<notebook_name> import *

or

from ipynb.fs.full.<notebook_name> import <function_name>

Make sure that all the notebooks are in the same directory.

Edit 1: You can see the official documentation here - https://ipynb.readthedocs.io/en/stable/

Also, if you would like to import only class & function definitions from a notebook (and not the top level statements), you can use ipynb.fs.defs instead of ipynb.fs.full. Full uppercase variable assignment will get evaluated as well.

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Install ipynb from your command prompt

pip install import-ipynb

Import in your notebook file

import import_ipynb

Now use regular import command to import your file

import MyOtherNotebook

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You can use import nbimporter then import notebookName

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The above mentioned comments are very useful but they are a bit difficult to implement. Below steps you can try, I also tried it and it worked:

Download that file from your notebook in PY file format (You can find that option in File tab). Now copy that downloaded file into the working directory of Jupyter Notebook You are now ready to use it. Just import .PY File into the ipynb file

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%run YourNotebookfile.ipynb is working fine;

if you want to import a specific module then just add the import command after the ipynb i.e YourNotebookfile.ipynb having def Add()

then you can just use it

%run YourNotebookfile.ipynb import Add

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The issue is that a notebooks is not a plain python file. The steps to import the .ipynb file are outlined in the following: Importing notebook

I am pasting the code, so if you need it...you can just do a quick copy and paste. Notice that at the end I have the import primes statement. You'll have to change that of course. The name of my file is primes.ipynb. From this point on you can use the content inside that file as you would do regularly.

Wish there was a simpler method, but this is straight from the docs. Note: I am using jupyter not ipython.

import io, os, sys, types
from IPython import get_ipython
from nbformat import current
from IPython.core.interactiveshell import InteractiveShell


def find_notebook(fullname, path=None):
    """find a notebook, given its fully qualified name and an optional path

    This turns "foo.bar" into "foo/bar.ipynb"
    and tries turning "Foo_Bar" into "Foo Bar" if Foo_Bar
    does not exist.
    """
    name = fullname.rsplit('.', 1)[-1]
    if not path:
        path = ['']
    for d in path:
        nb_path = os.path.join(d, name + ".ipynb")
        if os.path.isfile(nb_path):
            return nb_path
        # let import Notebook_Name find "Notebook Name.ipynb"
        nb_path = nb_path.replace("_", " ")
        if os.path.isfile(nb_path):
            return nb_path


class NotebookLoader(object):
    """Module Loader for Jupyter Notebooks"""
    def __init__(self, path=None):
        self.shell = InteractiveShell.instance()
        self.path = path

    def load_module(self, fullname):
        """import a notebook as a module"""
        path = find_notebook(fullname, self.path)

        print ("importing Jupyter notebook from %s" % path)

        # load the notebook object
        with io.open(path, 'r', encoding='utf-8') as f:
            nb = current.read(f, 'json')


        # create the module and add it to sys.modules
        # if name in sys.modules:
        #    return sys.modules[name]
        mod = types.ModuleType(fullname)
        mod.__file__ = path
        mod.__loader__ = self
        mod.__dict__['get_ipython'] = get_ipython
        sys.modules[fullname] = mod

        # extra work to ensure that magics that would affect the user_ns
        # actually affect the notebook module's ns
        save_user_ns = self.shell.user_ns
        self.shell.user_ns = mod.__dict__

        try:
        for cell in nb.worksheets[0].cells:
            if cell.cell_type == 'code' and cell.language == 'python':
                # transform the input to executable Python
                code = self.shell.input_transformer_manager.transform_cell(cell.input)
                # run the code in themodule
                exec(code, mod.__dict__)
        finally:
            self.shell.user_ns = save_user_ns
        return mod


class NotebookFinder(object):
    """Module finder that locates Jupyter Notebooks"""
    def __init__(self):
        self.loaders = {}

    def find_module(self, fullname, path=None):
        nb_path = find_notebook(fullname, path)
        if not nb_path:
            return

        key = path
        if path:
            # lists aren't hashable
            key = os.path.sep.join(path)

        if key not in self.loaders:
            self.loaders[key] = NotebookLoader(path)
        return self.loaders[key]

sys.meta_path.append(NotebookFinder())

import primes

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There is no problem at all using Jupyter with existing or new Python .py modules. With Jupyter running, simply fire up Spyder (or any editor of your choice) to build / modify your module class definitions in a .py file, and then just import the modules as needed into Jupyter.

One thing that makes this really seamless is using the autoreload magic extension. You can see documentation for autoreload here:

http://ipython.readthedocs.io/en/stable/config/extensions/autoreload.html

Here is the code to automatically reload the module any time it has been modified:

# autoreload sets up auto reloading of modified .py modules
import autoreload
%load_ext autoreload
%autoreload 2

Note that I tried the code mentioned in a prior reply to simulate loading .ipynb files as modules, and got it to work, but it chokes when you make changes to the .ipynb file. It looks like you need to restart the Jupyter development environment in order to reload the .ipynb 'module', which was not acceptable to me since I am making lots of changes to my code.

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Please make sure that you also add a __init__.py file in the package where all your other .ipynb files are located.

This is in addition to the nbviewer link that minrk and syi provided above.

I also had some similar problem and then I wrote the solution as well as a link to my public google drive folder which has a working example :)

My Stackoverflow post with step by step experimentation and Solution:

Jupyter Notebook: Import .ipynb file and access it's method in other .ipynb file giving error

Hope this will help others as well. Thanks all!

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While the '%run childNotebook.ipynb' command is a pretty simple and useful solution (as mentioned in a previous answer), you should be cautious about using it when the child file is also using another '%run grandChildNotebook.ipynb' in it, but is located in another directory! It can result in duplicate run of files, and is also error prone (as the child no longer uses the same path as its parents, while when running, Jupyter assumes it to do so!)

For resolving the mentioned problem, one solution may be this: just before importing any file, first check where the current directory is located, and then act based on that. Here is an example:

if 'myFolder' in os.getcwd():
    %run graindChildNotebook.ipynb
else:
    %run myFolder/grandChildNotebook.ipynb

In the above example, it is first checked if we are in the 'myFolder' directory or not. If so, we would find out that the 'grandChildNotebook' is in the same directory and it would be enough to run it as normal. Else, we need to run it by adding the name of the folder this file is located in.

Be careful that it is just an example, and you should do your personalized solution based on your case!

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