nbclick allows you to modify and run Jupyter notebooks from the commandline.
It builds on top of nbparameterise which allows
programmatic extraction and modification of parameters of Jupyter notebooks.
nbclick can be installed using pip:
python -m pip install nbclick
It is also possible to run nbclick without prior installation using pipx:
pipx run --system-site-packages nbclick
Note that the --system-site-packages flag is absolutely necessary if your notebook depends
on any non-standard library Python package.
After installation, you can run nbclick using the commandline:
nbclick
The most important argument is the NOTEBOOK parameter. For a given notebook,
you can again use --help to display the configuration options:
nbclick mynotebook.ipynb --help
nbclick relies on nbparameterise to extract command line options from your
Jupyter notebook. The best way to specify customizable parameters is to place
them into the first code cell of the notebook as simple assignments:
num_samples = 1000 # The number of samples to draw
outfile = "output.csv" # The filename to store the resultsFor above case, the output of nbclick notebook.ipynb --help will be:
Usage: nbclick notebook.ipynb [OPTIONS]
Options:
--num_samples INTEGER The number of samples to draw [default: 1000]
--outfile TEXT The filename to store the results [default:
output.csv]
--help Show this message and exit.
There are a few known limitations that result from upstream projects that I currently
do not plan to fix for nbclick:
- The number of parameter types recognized is quite small.
nbclickis known to work withint,float,bool,str,list(of both homogeneous and heterogeneous type). Most notably,nbparameterisedoes not supporttuples. - List parameters are restricted to fixed length (defined by their default). This results
from
clickvoluntarily chosing not to provide variable length list parameters, as it introduces ambiguity of the parser.