%global _empty_manifest_terminate_build 0 Name: python-bqplot Version: 0.12.38 Release: 1 Summary: Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets. License: Apache URL: https://github.com/bqplot/bqplot Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ee/39/eb64727d212836dc5426fe04e0e80ae797e3e013113cb68f06acea1ff303/bqplot-0.12.38.tar.gz BuildArch: noarch Requires: python3-ipywidgets Requires: python3-traitlets Requires: python3-traittypes Requires: python3-numpy Requires: python3-pandas %description # bqplot [![Travis](https://travis-ci.com/bqplot/bqplot.svg?branch=master)](https://travis-ci.com/bqplot/bqplot) [![Documentation](https://readthedocs.org/projects/bqplot/badge/?version=latest)](http://bqplot.readthedocs.org) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/bqplot/bqplot/stable?filepath=examples/Index.ipynb) [![Chat](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/jupyter-widgets/Lobby) 2-D plotting library for Project Jupyter ## Introduction `bqplot` is a 2-D visualization system for Jupyter, based on the constructs of the *Grammar of Graphics*. ## Usage [![Wealth of Nations](./wealth-of-nations.gif)](https://github.com/bqplot/bqplot/blob/master/examples/Applications/Wealth%20Of%20Nations/Bubble%20Chart.ipynb) 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. ## Goals - Provide a unified framework for 2-D visualizations with a pythonic API - Provide a sensible API for adding user interactions (panning, zooming, selection, etc) 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 customizable - `pyplot`, which is a context-based API similar to Matplotlib's pyplot. `pyplot` provides sensible default choices for most parameters ## Trying it online To try out bqplot interactively in your web browser, just click on the binder link: [![Binder](docs/source/binder-logo.svg)](https://mybinder.org/v2/gh/bqplot/bqplot/stable?filepath=examples/Index.ipynb) ### Dependencies 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` ### Installation 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 ``` ##### Development installation 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. ##### Running tests You can install the dependencies necessary to run the tests with: ```bash conda env update -f test-environment.yml ``` And run it with for Python tests: ```bash pytest ``` And `cd js` to run the JS tests with: ```bash yarn run test ``` Every time you make a change on your tests it's necessary to rebuild the JS side: ```bash yarn run build ``` ## Examples ### Using the `pyplot` API [![Pyplot Screenshot](/pyplot.png)](https://github.com/bqplot/bqplot/blob/master/examples/Basic%20Plotting/Pyplot.ipynb) ### Using the `Object Model` API [![Bqplot Screenshot](/bqplot.png)](https://github.com/bqplot/bqplot/blob/master/examples/Advanced%20Plotting/Advanced%20Plotting.ipynb) ## Documentation Full documentation is available at https://bqplot.readthedocs.io/ ## Install a previous bqplot version (Only for JupyterLab <= 2) 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 | ## Development See our [contributing guidelines](CONTRIBUTING.md) to know how to contribute and set up a development environment. ## License This software is licensed under the Apache 2.0 license. See the [LICENSE](LICENSE) file for details. %package -n python3-bqplot Summary: Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets. Provides: python-bqplot BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-bqplot # bqplot [![Travis](https://travis-ci.com/bqplot/bqplot.svg?branch=master)](https://travis-ci.com/bqplot/bqplot) [![Documentation](https://readthedocs.org/projects/bqplot/badge/?version=latest)](http://bqplot.readthedocs.org) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/bqplot/bqplot/stable?filepath=examples/Index.ipynb) [![Chat](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/jupyter-widgets/Lobby) 2-D plotting library for Project Jupyter ## Introduction `bqplot` is a 2-D visualization system for Jupyter, based on the constructs of the *Grammar of Graphics*. ## Usage [![Wealth of Nations](./wealth-of-nations.gif)](https://github.com/bqplot/bqplot/blob/master/examples/Applications/Wealth%20Of%20Nations/Bubble%20Chart.ipynb) 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. ## Goals - Provide a unified framework for 2-D visualizations with a pythonic API - Provide a sensible API for adding user interactions (panning, zooming, selection, etc) 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 customizable - `pyplot`, which is a context-based API similar to Matplotlib's pyplot. `pyplot` provides sensible default choices for most parameters ## Trying it online To try out bqplot interactively in your web browser, just click on the binder link: [![Binder](docs/source/binder-logo.svg)](https://mybinder.org/v2/gh/bqplot/bqplot/stable?filepath=examples/Index.ipynb) ### Dependencies 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` ### Installation 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 ``` ##### Development installation 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. ##### Running tests You can install the dependencies necessary to run the tests with: ```bash conda env update -f test-environment.yml ``` And run it with for Python tests: ```bash pytest ``` And `cd js` to run the JS tests with: ```bash yarn run test ``` Every time you make a change on your tests it's necessary to rebuild the JS side: ```bash yarn run build ``` ## Examples ### Using the `pyplot` API [![Pyplot Screenshot](/pyplot.png)](https://github.com/bqplot/bqplot/blob/master/examples/Basic%20Plotting/Pyplot.ipynb) ### Using the `Object Model` API [![Bqplot Screenshot](/bqplot.png)](https://github.com/bqplot/bqplot/blob/master/examples/Advanced%20Plotting/Advanced%20Plotting.ipynb) ## Documentation Full documentation is available at https://bqplot.readthedocs.io/ ## Install a previous bqplot version (Only for JupyterLab <= 2) 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 | ## Development See our [contributing guidelines](CONTRIBUTING.md) to know how to contribute and set up a development environment. ## License This software is licensed under the Apache 2.0 license. See the [LICENSE](LICENSE) file for details. %package help Summary: Development documents and examples for bqplot Provides: python3-bqplot-doc %description help # bqplot [![Travis](https://travis-ci.com/bqplot/bqplot.svg?branch=master)](https://travis-ci.com/bqplot/bqplot) [![Documentation](https://readthedocs.org/projects/bqplot/badge/?version=latest)](http://bqplot.readthedocs.org) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/bqplot/bqplot/stable?filepath=examples/Index.ipynb) [![Chat](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/jupyter-widgets/Lobby) 2-D plotting library for Project Jupyter ## Introduction `bqplot` is a 2-D visualization system for Jupyter, based on the constructs of the *Grammar of Graphics*. ## Usage [![Wealth of Nations](./wealth-of-nations.gif)](https://github.com/bqplot/bqplot/blob/master/examples/Applications/Wealth%20Of%20Nations/Bubble%20Chart.ipynb) 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. ## Goals - Provide a unified framework for 2-D visualizations with a pythonic API - Provide a sensible API for adding user interactions (panning, zooming, selection, etc) 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 customizable - `pyplot`, which is a context-based API similar to Matplotlib's pyplot. `pyplot` provides sensible default choices for most parameters ## Trying it online To try out bqplot interactively in your web browser, just click on the binder link: [![Binder](docs/source/binder-logo.svg)](https://mybinder.org/v2/gh/bqplot/bqplot/stable?filepath=examples/Index.ipynb) ### Dependencies 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` ### Installation 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 ``` ##### Development installation 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. ##### Running tests You can install the dependencies necessary to run the tests with: ```bash conda env update -f test-environment.yml ``` And run it with for Python tests: ```bash pytest ``` And `cd js` to run the JS tests with: ```bash yarn run test ``` Every time you make a change on your tests it's necessary to rebuild the JS side: ```bash yarn run build ``` ## Examples ### Using the `pyplot` API [![Pyplot Screenshot](/pyplot.png)](https://github.com/bqplot/bqplot/blob/master/examples/Basic%20Plotting/Pyplot.ipynb) ### Using the `Object Model` API [![Bqplot Screenshot](/bqplot.png)](https://github.com/bqplot/bqplot/blob/master/examples/Advanced%20Plotting/Advanced%20Plotting.ipynb) ## Documentation Full documentation is available at https://bqplot.readthedocs.io/ ## Install a previous bqplot version (Only for JupyterLab <= 2) 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 | ## Development See our [contributing guidelines](CONTRIBUTING.md) to know how to contribute and set up a development environment. ## License This software is licensed under the Apache 2.0 license. See the [LICENSE](LICENSE) file for details. %prep %autosetup -n bqplot-0.12.38 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-bqplot -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Mon Apr 10 2023 Python_Bot - 0.12.38-1 - Package Spec generated