I'm looking at using the *.ipynb files as the source of truth and programmatically 'compiling' them into .py files for scheduled jobs/tasks.
The only way I understand to do this is via the GUI. Is there a way to do it via command line?
If you want to convert your single notebook to an executable Python script (. py), you can easily do this task using the 'nbconvert' package. For example, we have created a file named 'testnotebook. ipynb', and we want to convert this file to python (.
The Jupyter Notebook has an option to export the notebook to many formats. It can be accessed by clicking File -> Download as -> PDF via LaTeX (or PDF via HTML - not visible in the screenshot).
You can download individual files from the file navigator (which you can get to by clicking on the Jupyter icon in the top left corner). You just need to click the checkbox next to the file you want to download and then click the "download" button at the top of the pane.
If you don't want to output a Python script every time you save, or you don't want to restart the IPython kernel:
On the command line, you can use nbconvert
:
$ jupyter nbconvert --to script [YOUR_NOTEBOOK].ipynb
As a bit of a hack, you can even call the above command in an IPython notebook by pre-pending !
(used for any command line argument). Inside a notebook:
!jupyter nbconvert --to script config_template.ipynb
Before --to script
was added, the option was --to python
or --to=python
, but it was renamed in the move toward a language-agnostic notebook system.
If you want to convert all *.ipynb
files from current directory to python script, you can run the command like this:
jupyter nbconvert --to script *.ipynb
Here is a quick and dirty way to extract the code from V3 or V4 ipynb without using ipython. It does not check cell types, etc.
import sys,json
f = open(sys.argv[1], 'r') #input.ipynb
j = json.load(f)
of = open(sys.argv[2], 'w') #output.py
if j["nbformat"] >=4:
for i,cell in enumerate(j["cells"]):
of.write("#cell "+str(i)+"\n")
for line in cell["source"]:
of.write(line)
of.write('\n\n')
else:
for i,cell in enumerate(j["worksheets"][0]["cells"]):
of.write("#cell "+str(i)+"\n")
for line in cell["input"]:
of.write(line)
of.write('\n\n')
of.close()
Following the previous example but with the new nbformat lib version :
import nbformat
from nbconvert import PythonExporter
def convertNotebook(notebookPath, modulePath):
with open(notebookPath) as fh:
nb = nbformat.reads(fh.read(), nbformat.NO_CONVERT)
exporter = PythonExporter()
source, meta = exporter.from_notebook_node(nb)
with open(modulePath, 'w+') as fh:
fh.writelines(source.encode('utf-8'))
Jupytext is nice to have in your toolchain for such conversions. It allows not only conversion from a notebook to a script, but you can go back again from the script to notebook as well. And even have that notebook produced in executed form.
jupytext --to py notebook.ipynb # convert notebook.ipynb to a .py file
jupytext --to notebook notebook.py # convert notebook.py to an .ipynb file with no outputs
jupytext --to notebook --execute notebook.py # convert notebook.py to an .ipynb file and run it
You can do this from the IPython API.
from IPython.nbformat import current as nbformat
from IPython.nbconvert import PythonExporter
filepath = 'path/to/my_notebook.ipynb'
export_path = 'path/to/my_notebook.py'
with open(filepath) as fh:
nb = nbformat.reads_json(fh.read())
exporter = PythonExporter()
# source is a tuple of python source code
# meta contains metadata
source, meta = exporter.from_notebook_node(nb)
with open(export_path, 'w+') as fh:
fh.writelines(source)
I understand this is an old thread. I have faced the same issue and wanted to convert the .pynb file to .py file via command line.
My search took me to ipynb-py-convert
By following below steps I was able to get .py file
> ipynb-py-convert YourFileName.ipynb YourFilename.py
Eg:. ipynb-py-convert getting-started-with-kaggle-titanic-problem.ipynb getting-started-with-kaggle-titanic-problem.py
Above command will create a python script with the name "YourFileName.py" and as per our example it will create getting-started-with-kaggle-titanic-problem.py
file
The following example turns an Iron Python Notebook called a_notebook.ipynb
into a python script called a_python_script.py
leaving out the cells tagged with the keyword remove
, which I add manually to the cells that I don't want to end up in the script, leaving out visualizations and other steps that once I am done with the notebook I don't need to be executed by the script.
import nbformat as nbf
from nbconvert.exporters import PythonExporter
from nbconvert.preprocessors import TagRemovePreprocessor
with open("a_notebook.ipynb", 'r', encoding='utf-8') as f:
the_notebook_nodes = nbf.read(f, as_version = 4)
trp = TagRemovePreprocessor()
trp.remove_cell_tags = ("remove",)
pexp = PythonExporter()
pexp.register_preprocessor(trp, enabled= True)
the_python_script, meta = pexp.from_notebook_node(the_notebook_nodes)
with open("a_python_script.py", 'w', encoding='utf-8') as f:
f.writelines(the_python_script)
For converting all *.ipynb format files in current directory to python scripts recursively:
for i in *.ipynb **/*.ipynb; do
echo "$i"
jupyter nbconvert "$i" "$i"
done
Using nbconvert 6.07 and jupyter client 6.1.12:
Convert jupyter notebook to python script
$ jupyter nbconvert mynotebook.ipynb --to python
Convert jupyter notebook to python script specifying output filename
$ jupyter nbconvert mynotebook.ipnb --to python --output myscript.py
There's a very nice package called nb_dev which is designed for authoring Python packages in Jupyter Notebooks. Like nbconvert,
it can turn a notebook into a .py file, but it is more flexible and powerful because it has a lot of nice additional authoring features to help you develop tests, documentation, and register packages on PyPI. It was developed by the fast.ai folks.
It has a bit of a learning curve, but the documentation is good and it is not difficult overall.
no file/directory error
On my mint [ubuntu] system at work, even though jupyter was already installed and notebooks worked, jupyter nbconvert --to script
gave the error no file/directory until I did a separate
sudo apt-get install jupyter-nbconvert
Then all was fine with the conversion. I just wanted to add this in case anyone hits the same error (for me it was confusing as I thought the no file error referred to the notebook, which was definitely there in the local directory, took me a while to realize the subcommand was not installed).
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