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Readme
2-D plotting library for Project Jupyter
bqplot
is a 2-D visualization system for Jupyter, based on the constructs of
the Grammar of Graphics.
In bqplot, every component of a plot is an interactive widget. This allows the user to integrate visualizations with other Jupyter interactive widgets to create integrated GUIs with a few lines of Python code.
Two APIs are provided
Object Model
, which
is inspired by the constructs of the Grammar of Graphics (figure, marks, axes,
scales). This API is verbose but is fully customizablepyplot
, which is a context-based API similar to Matplotlib's pyplot. pyplot
provides sensible default choices for most parametersTo try out bqplot interactively in your web browser, just click on the binder link:
This package depends on the following packages:
ipywidgets
(version >=7.0.0, <8.0)traitlets
(version >=4.3.0, <5.0)traittypes
(Version >=0.2.1, <0.3)numpy
pandas
Using pip:
$ pip install bqplot
Using conda
$ conda install -c conda-forge bqplot
If you are using JupyterLab <=2:
$ jupyter labextension install @jupyter-widgets/jupyterlab-manager bqplot
For a development installation (requires JupyterLab (version >= 3) and yarn):
$ git clone https://github.com/bqplot/bqplot.git
$ cd bqplot
$ pip install -e .
$ jupyter nbextension install --py --overwrite --symlink --sys-prefix bqplot
$ jupyter nbextension enable --py --sys-prefix bqplot
Note for developers: the --symlink
argument on Linux or OS X allows one to
modify the JavaScript code in-place. This feature is not available
with Windows.
For the experimental JupyterLab extension, install the Python package, make sure the Jupyter widgets extension is installed, and install the bqplot extension:
$ pip install "ipywidgets>=7.6"
$ jupyter labextension develop . --overwrite
Whenever you make a change of the JavaScript code, you will need to rebuild:
cd js
yarn run build
Then refreshing the JupyterLab/Jupyter Notebook is enough to reload the changes.
You can install the dependencies necessary to run the tests with:
conda env update -f test-environment.yml
And run it with for Python tests:
pytest
And cd js
to run the JS tests with:
yarn run test
Every time you make a change on your tests it's necessary to rebuild the JS side:
yarn run build
pyplot
APIObject Model
APIFull documentation is available at https://bqplot.readthedocs.io/
In order to install a previous bqplot version, you need to know which front-end version (JavaScript) matches with the back-end version (Python).
For example, in order to install bqplot 0.11.9
, you need the labextension version 0.4.9
.
$ pip install bqplot==0.11.9
$ jupyter labextension install bqplot@0.4.9
Versions lookup table:
back-end (Python) | front-end (JavaScript) |
---|---|
0.12.14 | 0.5.14 |
0.12.13 | 0.5.13 |
0.12.12 | 0.5.12 |
0.12.11 | 0.5.11 |
0.12.10 | 0.5.10 |
0.12.9 | 0.5.9 |
0.12.8 | 0.5.8 |
0.12.7 | 0.5.7 |
0.12.6 | 0.5.6 |
0.12.4 | 0.5.4 |
0.12.3 | 0.5.3 |
0.12.2 | 0.5.2 |
0.12.1 | 0.5.1 |
0.12.0 | 0.5.0 |
0.11.9 | 0.4.9 |
0.11.8 | 0.4.8 |
0.11.7 | 0.4.7 |
0.11.6 | 0.4.6 |
0.11.5 | 0.4.5 |
0.11.4 | 0.4.5 |
0.11.3 | 0.4.4 |
0.11.2 | 0.4.3 |
0.11.1 | 0.4.1 |
0.11.0 | 0.4.0 |
See our contributing guidelines to know how to contribute and set up a development environment.
This software is licensed under the Apache 2.0 license. See the LICENSE file for details.
FAQs
Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.
We found that bqplot demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 5 open source maintainers collaborating on the project.
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