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A package to run and fill Jupyter Notebooks within GNU Octave.

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Octave Jupyter Notebook package

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A package to run and fill Jupyter Notebooks within GNU Octave.

The package supports filling both textual and graphical outputs.

Installation

From the Octave command-line:

pkg install "https://github.com/gnu-octave/pkg-jupyter-notebook/archive/v1.1.0.tar.gz"

jupyter_notebook

notebook_object = jupyter_notebook (notebook_filename, options)

Run and fill the Jupyter Notebook in file notebook_filename from within GNU Octave.

Both text and graphical Octave outputs are supported.

This class has a public property notebook which is a structure representing the JSON-decoded Jupyter Notebook. This property is intentionally public to enable advanced notebook manipulations.

Note: Jupyter Notebook versions (nbformat) lower than 4.0 are not supported.

The optional second argument options is a struct with fields:

  • tmpdir to set the temporary working directory.

plot magic

%plot magic is supported with the following settings:

  • %plot -f <format> or %plot --format <format>: specifies the image storage format. Supported formats are:

    • PNG (default)
    • SVG (Note: If SVG images do not appear in the notebook, it is most related to the Jupyter Notebook security mechanism and explicitly "trusting" them is necessary).
    • JPG
  • %plot -r <number> or %plot --resolution <number>: specifies the image resolution.

  • %plot -w <number> or %plot --width <number>: specifies the image width.

  • %plot -h <number> or %plot --height <number>: specifies the image height.

Methods

The jupyter_notebook class supports the following methods.

run (cell_index)

Run the Jupyter Notebook cell with index cell_index and eventually replace previous output cells in the object.

The first Jupyter Notebook cell has the index 1.

Note: The code evaluation of the Jupyter Notebook cells is done in a separate Jupyter Notebook context. Thus, currently open figures and workspace variables won't be affected by executing this function. However, current workspace variables cannot be accessed either.

run_all ()

Run all Jupyter Notebook cells and eventually replace previous output cells in the object.

Note: The code evaluation of the Jupyter Notebook cells is done in a separate Jupyter Notebook context. Thus, currently open figures and workspace variables won't be affected by executing this function. However, current workspace variables cannot be accessed either.

generate_notebook (notebook_file_name)

Write the Jupyter Notebook stored in the notebook attribute to notebook_file_name.

The notebook attribute is encoded to JSON text.

generate_octave_script (script_file_name)

Write an Octave script that has the contents of the Jupyter Notebook stored in the notebook attribute to script_file_name.

Non-code cells are generated as block comments.

Examples:

The outputs of the following examples are shown using this notebook: example-notebook

Run all cells and generate the filled notebook

## Instantiate an object from the notebook file
notebook = jupyter_notebook ("myNotebook.ipynb")
=> notebook =

    <object jupyter_notebook>

## Run the code and embed the results in the notebook attribute
notebook.run_all()

## Generate the new notebook by overwriting the original notebook
notebook.generate_notebook ("myNotebook.ipynb")

This is the generated notebook: example-1

Run the third cell and generate the filled notebook

## Instantiate an object from the notebook file
notebook = jupyter_notebook ("myNotebook.ipynb")
=> notebook =

    <object jupyter_notebook>

## Run the code and embed the results in the notebook attribute
notebook.run(3)

## Generate the new notebook in a new file
notebook.generate_notebook ("myNewNotebook.ipynb")

This is the generated notebook: example-2

Generate an Octave script from a notebook

## Instantiate an object from the notebook file
notebook = jupyter_notebook ("myNotebook.ipynb")
=> notebook =

    <object jupyter_notebook>

## Generate the octave script
notebook.generate_octave_script ("myScript.m")

This is the generated script: example-3