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?
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 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
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
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)
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
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
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)
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).
I found that there are 2 ways to convert Jupyter Notebook to plain Python script with command line. Below is the example Jupyter notebook and output from both tools.
The nbconvert
is tool that is used in Jupyter Notebook User Interface in Download as
functionality. It can be used as command line tool:
jupyter nbconvert --to python notebook.ipynb
The jupytext
is a package to keep .ipynb
file synchronized with .py
file. It can be also used to convert .ipynb
files in command line. It supports several types of conversion:
Convert to Python script with light format
jupytext --to py notebook.ipynb
Example python script:
Convert to Python script with percent format
jupytext --to py:percent notebook.ipynb
Example Python script:
The given solution works only for converting a single .py file. Here is a solution that converts all .py files in a directory and sub-directories.
First, you need to install the tool that convert only one file at a time like ipynb-py-convert
pip install ipynb-py-convert
Then cd into the place of your folder having the .py files and directories. Then we run the tool recursively on all files in the directory and subdirectories:
In powershell:
foreach ($f in Get-ChildItem "." -Filter *.ipynb -Recurse){ ipynb-py-convert $f.FullName "$($f.FullName.Substring(0,$f.FullName.Length-6)).py"}
Now if you would like to convert the otherway around from .ipynb to .py also with batch convert, you can run:
foreach ($f in Get-ChildItem "." -Filter *.py -Recurse){ ipynb-py-convert $f.FullName "$($f.FullName.Substring(0,$f.FullName.Length-3)).ipynb"}
This helped me a lot while exploring .py files. I make a copy of the project, run this code and quickly in Jupiter test different parts of the code as cells and so on. I hope it helps more people.
Here is a jq
solution that could be situationally useful. Remember, notebooks are just json.
jq -r '.cells[] | select(.cell_type == "code") | .source[] | rtrimstr("\n")' $filename
I have built a function to achieve this. The user does not have to install anything to use it.
#!/usr/bin/python
# A short routine to convert a Jupyter Notebook to a Python file
import json
def ipynb_to_py(input_ipynb_file,output_py_file=None):
"""
Generate a Python script (.py) that includes all source code from the input Jupyter notebook (.ipynb).
The user can input a Jupyter Notebook file from the current working directory or from a path.
If the name for output Python file is not specified,
the output file name will copy the file name of the input Jupyter Notebook,
but the file exention will be changed from ".ipynb" chanegd to ".py".
And the output Python file will be saved at the same directory of the input Jupyter Notebook.
For example:
ipynb_to_py("test-jupyternotebook.ipynb")
ipynb_to_py("./test-input-dir/test-jupyternotebook.ipynb")
The user can also specify an output file name that ends with ".py".
If the output file name is provided, but no path to output file is added,
the file will be saved at the current working directory.
For example:
ipynb_to_py("test-jupyternotebook.ipynb","test1.py")
ipynb_to_py("./test-input-dir/test-jupyternotebook.ipynb","test2.py")
The user can save out the file at a target directory by adding a path to the output file.
For example:
ipynb_to_py("test-jupyternotebook.ipynb","./test-outputdir/test3.py")
ipynb_to_py("./test-input-dir/test-jupyternotebook.ipynb","./test-output-dir/test4.py")
This function does not edit or delete the original input Jupyter Notebook file.
Args:
-----
input_ipynb_file: The file name string for the Jupyter Notebook (ends with ".ipynb")
output_py_file (optional): The file name for Python file to be created (ends with ".py").
Returns:
--------
A Python file containing all source code in the Jupyter Notebook.
Example usages:
---------------
ipynb_to_py("test-jupyternotebook.ipynb")
ipynb_to_py("./test-input-dir/test-jupyternotebook.ipynb")
ipynb_to_py("test-jupyternotebook.ipynb","test1.py")
ipynb_to_py("test-jupyternotebook.ipynb","./test-outputdir/test2.py")
ipynb_to_py("test-jupyternotebook.ipynb","./test-outputdir/test3.py")
ipynb_to_py("./test-input-dir/test-jupyternotebook.ipynb","./test-output-dir/test4.py")
"""
# Check if the input file is a Jupyter Notebook
if input_ipynb_file.endswith(".ipynb"):
# Open the input Jupyter Notebook file
notebook = open(input_ipynb_file)
# Read its content in the json format
notebook_content = json.load(notebook)
# Only extract the source code snippet from each cell in the input Jupyter Notebook
source_code_snippets = [cell['source'] for cell in notebook_content['cells']]
# If the name for output Python file is not specified,
# The name of input Jupyter Notebook will be used after changing ".ipynb" to ".py".
if output_py_file == None:
output_py_file = input_ipynb_file.split('.ipynb')[0]+".py"
else:
pass
# Create a Python script to save out all the extracted source code snippets
output_file = open(output_py_file,'w')
# Print out each line in each source code snippet to the output file
for snippet in source_code_snippets:
for line in snippet:
# Use end='' to avoid creating unwanted gaps between lines
print(line,end = '',file = output_file)
# At end of each snippet, move to the next line before printing the next one
print('',sep = '\n',file=output_file)
# Close the output file
output_file.close()
print("The path to output file:",output_py_file)
else:
print("The input file must be a Jupyter Notebook (in .ipynb format)!")
def main():
pass
if __name__ == "__main__":
main()
I had this problem and tried to find the solution online. Though I found some solutions, they still have some problems, e.g., the annoying Untitled.txt
auto-creation when you start a new notebook from the dashboard.
So eventually I wrote my own solution:
import io
import os
import re
from nbconvert.exporters.script import ScriptExporter
from notebook.utils import to_api_path
def script_post_save(model, os_path, contents_manager, **kwargs):
"""Save a copy of notebook to the corresponding language source script.
For example, when you save a `foo.ipynb` file, a corresponding `foo.py`
python script will also be saved in the same directory.
However, existing config files I found online (including the one written in
the official documentation), will also create an `Untitile.txt` file when
you create a new notebook, even if you have not pressed the "save" button.
This is annoying because we usually will rename the notebook with a more
meaningful name later, and now we have to rename the generated script file,
too!
Therefore we make a change here to filter out the newly created notebooks
by checking their names. For a notebook which has not been given a name,
i.e., its name is `Untitled.*`, the corresponding source script will not be
saved. Note that the behavior also applies even if you manually save an
"Untitled" notebook. The rationale is that we usually do not want to save
scripts with the useless "Untitled" names.
"""
# only process for notebooks
if model["type"] != "notebook":
return
script_exporter = ScriptExporter(parent=contents_manager)
base, __ = os.path.splitext(os_path)
# do nothing if the notebook name ends with `Untitled[0-9]*`
regex = re.compile(r"Untitled[0-9]*$")
if regex.search(base):
return
script, resources = script_exporter.from_filename(os_path)
script_fname = base + resources.get('output_extension', '.txt')
log = contents_manager.log
log.info("Saving script at /%s",
to_api_path(script_fname, contents_manager.root_dir))
with io.open(script_fname, "w", encoding="utf-8") as f:
f.write(script)
c.FileContentsManager.post_save_hook = script_post_save
To use this script, you can add it to ~/.jupyter/jupyter_notebook_config.py
:)
Note that you may need to restart the jupyter notebook / lab for it to work.
The %notebook foo.ipynb
magic command will export the current IPython to "foo.ipynb".
More info by typing %notebook?