%global _empty_manifest_terminate_build 0 Name: python-altair-viewer Version: 0.4.0 Release: 1 Summary: Viewer for Altair and Vega-Lite visualizations. License: BSD 3-clause URL: http://github.com/altair-viz/altair_viewer/ Source0: https://mirrors.nju.edu.cn/pypi/web/packages/9e/55/976c41be000f996978ddd48d304939515ed00a160b669c819cc3b6d068c9/altair_viewer-0.4.0.tar.gz BuildArch: noarch Requires: python3-altair Requires: python3-altair-data-server %description # Altair Viewer Offline chart viewer for [Altair](http://altair-viz.github.io) visualizations [![github actions](https://github.com/altair-viz/altair_viewer/workflows/build/badge.svg)](https://github.com/altair-viz/altair_viewer/actions?query=workflow%3Abuild) [![github actions](https://github.com/altair-viz/altair_viewer/workflows/lint/badge.svg)](https://github.com/altair-viz/altair_viewer/actions?query=workflow%3Alint) [![code style black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) This package provides tools for viewing Altair charts without a web connection in arbitrary Python environments. Charts can be displayed either inline in a Jupyter notebook environment, or in a separate browser window for use in any environment. ![Altair Viewer Gif](https://raw.githubusercontent.com/altair-viz/altair_viewer/master/images/viewer.gif) ## Installation Altair Viewer can be installed from the [Python Package Index](http://pypi.org/project/altair_viewer) with ``pip``: ``` $ pip install altair_viewer ``` ## Usage: General Environments Altair viewer provides two top-level functions for displaying charts: ``display()`` and ``show()``. Their intended use is slightly different: ```python import altair_viewer altair_viewer.display(chart) ``` ``display(chart)`` is meant for use in interactive computing environments where a single Python process is used interactively. It will serve a chart viewer at a localhost URL, and any susequent chart created within the session will appear in the same window. The background server will be terminated when the main Python process terminates, so this is not suitable for standalone scripts. ```python import altair_viewer altair_viewer.show(chart) ``` ``show(chart)`` is meant for use once at the end of a Python script. It does the same as ``display()``, but automatically opens a browser window, and adds an input prompt to prevent the script (and the server it creates) from terminating. ## Usage: IPython & Jupyter Within Jupyter notebook, IPython terminal, and related environments that support [Mimetype-based display](https://jupyterlab.readthedocs.io/en/stable/user/file_formats.html), altair viewer can be used by enabling the ``altair_viewer`` renderer: ```python import altair as alt alt.renderers.enable('altair_viewer') ``` This will cause charts at the end of a Jupyter notebook cell to be rendered in a separate browser window, as with the ``display()`` and ``show()`` methods. If enabled with ``inline=True``, charts will be rendered inline in the notebook: ```python import altair as alt alt.renderers.enable('altair_viewer', inline=True) ``` To display a single inline chart using Altair viewer in an IPython environment without globally enabling the associated renderer, you can use the ``display`` method directly: ```python import altair_viewer altair_viewer.display(chart, inline=True) ``` Note that the display based on altair viewer will only function correctly as long as the kernel that created the charts is running, as it depends on the background server started by the kernel. In particular, this means that if you save a notebook and reopen it later, charts will not display until the associated cells are re-run. %package -n python3-altair-viewer Summary: Viewer for Altair and Vega-Lite visualizations. Provides: python-altair-viewer BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-altair-viewer # Altair Viewer Offline chart viewer for [Altair](http://altair-viz.github.io) visualizations [![github actions](https://github.com/altair-viz/altair_viewer/workflows/build/badge.svg)](https://github.com/altair-viz/altair_viewer/actions?query=workflow%3Abuild) [![github actions](https://github.com/altair-viz/altair_viewer/workflows/lint/badge.svg)](https://github.com/altair-viz/altair_viewer/actions?query=workflow%3Alint) [![code style black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) This package provides tools for viewing Altair charts without a web connection in arbitrary Python environments. Charts can be displayed either inline in a Jupyter notebook environment, or in a separate browser window for use in any environment. ![Altair Viewer Gif](https://raw.githubusercontent.com/altair-viz/altair_viewer/master/images/viewer.gif) ## Installation Altair Viewer can be installed from the [Python Package Index](http://pypi.org/project/altair_viewer) with ``pip``: ``` $ pip install altair_viewer ``` ## Usage: General Environments Altair viewer provides two top-level functions for displaying charts: ``display()`` and ``show()``. Their intended use is slightly different: ```python import altair_viewer altair_viewer.display(chart) ``` ``display(chart)`` is meant for use in interactive computing environments where a single Python process is used interactively. It will serve a chart viewer at a localhost URL, and any susequent chart created within the session will appear in the same window. The background server will be terminated when the main Python process terminates, so this is not suitable for standalone scripts. ```python import altair_viewer altair_viewer.show(chart) ``` ``show(chart)`` is meant for use once at the end of a Python script. It does the same as ``display()``, but automatically opens a browser window, and adds an input prompt to prevent the script (and the server it creates) from terminating. ## Usage: IPython & Jupyter Within Jupyter notebook, IPython terminal, and related environments that support [Mimetype-based display](https://jupyterlab.readthedocs.io/en/stable/user/file_formats.html), altair viewer can be used by enabling the ``altair_viewer`` renderer: ```python import altair as alt alt.renderers.enable('altair_viewer') ``` This will cause charts at the end of a Jupyter notebook cell to be rendered in a separate browser window, as with the ``display()`` and ``show()`` methods. If enabled with ``inline=True``, charts will be rendered inline in the notebook: ```python import altair as alt alt.renderers.enable('altair_viewer', inline=True) ``` To display a single inline chart using Altair viewer in an IPython environment without globally enabling the associated renderer, you can use the ``display`` method directly: ```python import altair_viewer altair_viewer.display(chart, inline=True) ``` Note that the display based on altair viewer will only function correctly as long as the kernel that created the charts is running, as it depends on the background server started by the kernel. In particular, this means that if you save a notebook and reopen it later, charts will not display until the associated cells are re-run. %package help Summary: Development documents and examples for altair-viewer Provides: python3-altair-viewer-doc %description help # Altair Viewer Offline chart viewer for [Altair](http://altair-viz.github.io) visualizations [![github actions](https://github.com/altair-viz/altair_viewer/workflows/build/badge.svg)](https://github.com/altair-viz/altair_viewer/actions?query=workflow%3Abuild) [![github actions](https://github.com/altair-viz/altair_viewer/workflows/lint/badge.svg)](https://github.com/altair-viz/altair_viewer/actions?query=workflow%3Alint) [![code style black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) This package provides tools for viewing Altair charts without a web connection in arbitrary Python environments. Charts can be displayed either inline in a Jupyter notebook environment, or in a separate browser window for use in any environment. ![Altair Viewer Gif](https://raw.githubusercontent.com/altair-viz/altair_viewer/master/images/viewer.gif) ## Installation Altair Viewer can be installed from the [Python Package Index](http://pypi.org/project/altair_viewer) with ``pip``: ``` $ pip install altair_viewer ``` ## Usage: General Environments Altair viewer provides two top-level functions for displaying charts: ``display()`` and ``show()``. Their intended use is slightly different: ```python import altair_viewer altair_viewer.display(chart) ``` ``display(chart)`` is meant for use in interactive computing environments where a single Python process is used interactively. It will serve a chart viewer at a localhost URL, and any susequent chart created within the session will appear in the same window. The background server will be terminated when the main Python process terminates, so this is not suitable for standalone scripts. ```python import altair_viewer altair_viewer.show(chart) ``` ``show(chart)`` is meant for use once at the end of a Python script. It does the same as ``display()``, but automatically opens a browser window, and adds an input prompt to prevent the script (and the server it creates) from terminating. ## Usage: IPython & Jupyter Within Jupyter notebook, IPython terminal, and related environments that support [Mimetype-based display](https://jupyterlab.readthedocs.io/en/stable/user/file_formats.html), altair viewer can be used by enabling the ``altair_viewer`` renderer: ```python import altair as alt alt.renderers.enable('altair_viewer') ``` This will cause charts at the end of a Jupyter notebook cell to be rendered in a separate browser window, as with the ``display()`` and ``show()`` methods. If enabled with ``inline=True``, charts will be rendered inline in the notebook: ```python import altair as alt alt.renderers.enable('altair_viewer', inline=True) ``` To display a single inline chart using Altair viewer in an IPython environment without globally enabling the associated renderer, you can use the ``display`` method directly: ```python import altair_viewer altair_viewer.display(chart, inline=True) ``` Note that the display based on altair viewer will only function correctly as long as the kernel that created the charts is running, as it depends on the background server started by the kernel. In particular, this means that if you save a notebook and reopen it later, charts will not display until the associated cells are re-run. %prep %autosetup -n altair-viewer-0.4.0 %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-altair-viewer -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Mon Apr 10 2023 Python_Bot - 0.4.0-1 - Package Spec generated