A Jupyter/IPython kernel for Gnuplot
gnuplot_kernel has been developed for use specifically with Jupyter Notebook.
It can also be loaded as an IPython extension allowing for gnuplot code in the same notebook
as python code.
Installation
It is good practice to install gnuplot_kernel in a virtual environment.
We recommend using uv or
python venv.
Option 1: Using uv
$ uv venv
Official release
$ uv pip install gnuplot_kernel
$ uv run python -m gnuplot_kernel install --user
The last command installs a kernel spec file for the current python installation. This is the file that allows you to choose a jupyter kernel in a notebook.
Development version
$ uv pip install git+https://github.com/has2k1/gnuplot_kernel.git@master
$ uv run python -m gnuplot_kernel install --user
Option 2: Using python venv
$ python3 -m venv .venv && source .venv/bin/activate
Official release
$ pip install gnuplot_kernel
$ python -m gnuplot_kernel install --user
Development version
$ pip install git+https://github.com/has2k1/gnuplot_kernel.git@master
$ python -m gnuplot_kernel install --user
Requires
- System installation of Gnuplot
Documentation
- Example Notebooks for
gnuplot_kernel. - Metakernel magics, these are available when using
gnuplot_kernel.
1 maintainer
Metadata
1 maintainer
Release files for gnuplot-kernel 0.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gnuplot_kernel-0.5.0.tar.gz | 469.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gnuplot_kernel-0.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 490.7 kB
Release files / gnuplot_kernel-0.5.0.tar.gz
| Download URL | gnuplot_kernel-0.5.0.tar.gz |
|---|---|
| Size | 469.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
430c9b0c6c23d460330ebc31c28a240fc96652bc9e24f4e1ce27c39fa524fe6f
|
|
BLAKE2b-256 checksum How to use checksums |
636dfecd236afbc101f68f1e62a1298751fd3fc57b9619ff1a929e8df44400fa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 16, 2025.
Transparency logRelease files / gnuplot_kernel-0.5.0-py3-none-any.whl
| Download URL | gnuplot_kernel-0.5.0-py3-none-any.whl |
|---|---|
| Size | 21.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5e088c8ef9c9d68b58b8c760ec889e66707466bec053a2895ae601c19677bc4f
|
|
BLAKE2b-256 checksum How to use checksums |
88ea47d7a65c4aabd648c5e5ab60b543701b1a43e048c5381d49b8ad952a8799
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 16, 2025.
Transparency log
