Run IPython notebooks as command-line scripts, generate HTML reports
Python Jupyter Notebook
Latest commit 98c18de Jan 20, 2017 @paulgb committed on GitHub added note about jupyter execute API

README.rst

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runipy: run IPython as a script

The IPython notebook provides an interactive interface to a Python interpreter.

  • Literate programming: the IPython notebook is an ideal format for writing "literate" programs, in which the code is part of a larger multi-media document. runipy lets you run such programs directly, without first converting to a pure Python script.
  • Report generation: runipy can run the notebook and convert it into HTML in one go, making it an easy way to automate reports.
  • Data pipeline: if you use IPython notebooks to create a data pipeline, runipy lets you automate that pipeline without losing the notebook formatting.

Note that some of the functionality overlaps with Jupyter's execute API, which may be appropriate for some use cases where runipy was previously used.

Requirements

runipy currently supports IPython versions 2.4.x, 3.2.x and the current development version of 4.x.

Installation

The easiest way to install runipy is with pip:

$ pip install runipy

Command-line use

To run a .ipynb file as a script, run:

$ runipy MyNotebook.ipynb

To save the output of each cell back to the notebook file, run:

$ runipy -o MyNotebook.ipynb

To save the notebook output as a new notebook, run:

$ runipy MyNotebook.ipynb OutputNotebook.ipynb

To run a .ipynb file and generate an HTML report, run:

$ runipy MyNotebook.ipynb --html report.html

Passing Arguments

You can pass arguments to the notebook through environment variables. The use of environment variables is OS- and shell- dependent, but in a typical UNIX-like environment they can be passed on the command line before the program name:

$ myvar=value runipy MyNotebook.ipynb

Here is one way this can be done from pure python:

from os import environ
from subprocess import call

environ['myvar'] = 'value'
call(["runipy", "MyNotebook.ipynb"])

Then in the notebook, to access myvar:

from os import environ
myvar = environ['myvar']

environ is just a dict, so you can use .get() to fall back on a default value:

from os import environ
myvar = environ.get('myvar', 'default!')

Stdin / Stdout

runipy can read stdin and stdout and sit in a UNIX pipeline:

$ runipy --stdout < MyNotebook.ipynb > OutputNotebook.ipynb

$ cat MyNotebook.ipynb | runipy --stdout > OutputNotebook.ipynb

Programmatic use

It is also possible to run IPython notebooks from Python, using:

from runipy.notebook_runner import NotebookRunner
from IPython.nbformat.current import read

notebook = read(open("MyNotebook.ipynb"), 'json')
r = NotebookRunner(notebook)
r.run_notebook()

and you can enable pylab with:

r = NotebookRunner(notebook, pylab=True)

The notebook is stored in the object and can be saved using:

from IPython.nbformat.current import write
write(r.nb, open("MyOtherNotebook.ipynb", 'w'), 'json')

run_notebook() takes two optional arguments. The first, skip_exceptions, takes a boolean value (False by default). If True, exceptions will be ignored and the notebook will continue to execute cells after encountering an exception. The second argument is progress_callback, which must be either None or a function that takes one argument. This function is called after execution of each cell with the 0-based index of the cell just evaluated. This can be useful for tracking progress of long-running notebooks.

Credit

Portions of the code are based on code by Min RK

There are also many other contributors, who have offered various patches, documentation fixes, and suggestions. We are very appreciative of all they have done. Their names can be found in the AUTHOR.txt file.