%global _empty_manifest_terminate_build 0 Name: python-jupyter-plotly-dash Version: 0.4.3 Release: 1 Summary: Interactive Jupyter use of plotly dash apps License: MIT URL: https://github.com/GibbsConsulting/jupyter-plotly-dash Source0: https://mirrors.nju.edu.cn/pypi/web/packages/70/9c/020dd6bad01e4ecbdcdb1c92af68b831774cb06f2276f892bc3cb358278b/jupyter-plotly-dash-0.4.3.tar.gz BuildArch: noarch Requires: python3-aiohttp Requires: python3-django-bootstrap4 Requires: python3-django-plotly-dash Requires: python3-dpd-components Requires: python3-dpd-static-support Requires: python3-jupyter Requires: python3-nbserverproxy %description # jupyter-plotly-dash [![PyPI version](https://badge.fury.io/py/jupyter-plotly-dash.svg)](https://badge.fury.io/py/jupyter-plotly-dash) [![Downloads](https://img.shields.io/pypi/dw/jupyter-plotly-dash.svg)](https://img.shields.io/pypi/dw/jupyter-plotly-dash.svg) ![Develop Branch Build Status](https://travis-ci.org/GibbsConsulting/jupyter-plotly-dash.svg?branch=master) [![Coverage Status](https://coveralls.io/repos/github/GibbsConsulting/jupyter-plotly-dash/badge.svg?branch=master)](https://coveralls.io/github/GibbsConsulting/jupyter-plotly-dash?branch=master) [![Documentation Status](https://readthedocs.org/projects/jupyter-plotly-dash/badge/?version=latest)](https://jupyter-plotly-dash.readthedocs.io/en/latest/?badge=latest) Allow use of [plotly dash](https://plot.ly/products/dash/) applications within Jupyter notebooks, with the management of both session and internal state. See the source for this project here: Try me here in your browser: [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/GibbsConsulting/jupyter-plotly-dash/master) More detailed information can be found in the online documentation at ## Installation Install the package. Use of a `virtualenv` environment is strongly recommended. pip install jupyter_plotly_dash Now the package is installed, it can be used within a Jupyter notebook. ## Simple use After installation, launch a python Jupyter notebook server using `jupyter notebook` or `jupyter lab` as desired. Create a `Dash` application, using the `JupyterDash` class instead of `dash.Dash` for the application, and copy the following into a code cell and evaluate it. ```python from jupyter_plotly_dash import JupyterDash import dash import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output app = JupyterDash('SimpleExample') app.layout = html.Div([ dcc.RadioItems( id='dropdown-color', options=[{'label': c, 'value': c.lower()} for c in ['Red', 'Green', 'Blue']], value='red' ), html.Div(id='output-color'), dcc.RadioItems( id='dropdown-size', options=[{'label': i, 'value': j} for i, j in [('L','large'), ('M','medium'), ('S','small')]], value='medium' ), html.Div(id='output-size') ]) @app.callback( dash.dependencies.Output('output-color', 'children'), [dash.dependencies.Input('dropdown-color', 'value')]) def callback_color(dropdown_value): return "The selected color is %s." % dropdown_value @app.callback( dash.dependencies.Output('output-size', 'children'), [dash.dependencies.Input('dropdown-color', 'value'), dash.dependencies.Input('dropdown-size', 'value')]) def callback_size(dropdown_color, dropdown_size): return "The chosen T-shirt is a %s %s one." %(dropdown_size, dropdown_color) app ``` The last line causes the dash application to be rendered. All callbacks are invoked asynchronously, so the display of an application does not prevent other notebook cells from being evaluated. Multiple instances of the same dash application can be rendered at the same time within a single notebook. ## Binder use To launch a binder image, visit [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/GibbsConsulting/jupyter-plotly-dash/master) to run Jupyter notebooks using the latest version on the master branch of the main repository. %package -n python3-jupyter-plotly-dash Summary: Interactive Jupyter use of plotly dash apps Provides: python-jupyter-plotly-dash BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-jupyter-plotly-dash # jupyter-plotly-dash [![PyPI version](https://badge.fury.io/py/jupyter-plotly-dash.svg)](https://badge.fury.io/py/jupyter-plotly-dash) [![Downloads](https://img.shields.io/pypi/dw/jupyter-plotly-dash.svg)](https://img.shields.io/pypi/dw/jupyter-plotly-dash.svg) ![Develop Branch Build Status](https://travis-ci.org/GibbsConsulting/jupyter-plotly-dash.svg?branch=master) [![Coverage Status](https://coveralls.io/repos/github/GibbsConsulting/jupyter-plotly-dash/badge.svg?branch=master)](https://coveralls.io/github/GibbsConsulting/jupyter-plotly-dash?branch=master) [![Documentation Status](https://readthedocs.org/projects/jupyter-plotly-dash/badge/?version=latest)](https://jupyter-plotly-dash.readthedocs.io/en/latest/?badge=latest) Allow use of [plotly dash](https://plot.ly/products/dash/) applications within Jupyter notebooks, with the management of both session and internal state. See the source for this project here: Try me here in your browser: [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/GibbsConsulting/jupyter-plotly-dash/master) More detailed information can be found in the online documentation at ## Installation Install the package. Use of a `virtualenv` environment is strongly recommended. pip install jupyter_plotly_dash Now the package is installed, it can be used within a Jupyter notebook. ## Simple use After installation, launch a python Jupyter notebook server using `jupyter notebook` or `jupyter lab` as desired. Create a `Dash` application, using the `JupyterDash` class instead of `dash.Dash` for the application, and copy the following into a code cell and evaluate it. ```python from jupyter_plotly_dash import JupyterDash import dash import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output app = JupyterDash('SimpleExample') app.layout = html.Div([ dcc.RadioItems( id='dropdown-color', options=[{'label': c, 'value': c.lower()} for c in ['Red', 'Green', 'Blue']], value='red' ), html.Div(id='output-color'), dcc.RadioItems( id='dropdown-size', options=[{'label': i, 'value': j} for i, j in [('L','large'), ('M','medium'), ('S','small')]], value='medium' ), html.Div(id='output-size') ]) @app.callback( dash.dependencies.Output('output-color', 'children'), [dash.dependencies.Input('dropdown-color', 'value')]) def callback_color(dropdown_value): return "The selected color is %s." % dropdown_value @app.callback( dash.dependencies.Output('output-size', 'children'), [dash.dependencies.Input('dropdown-color', 'value'), dash.dependencies.Input('dropdown-size', 'value')]) def callback_size(dropdown_color, dropdown_size): return "The chosen T-shirt is a %s %s one." %(dropdown_size, dropdown_color) app ``` The last line causes the dash application to be rendered. All callbacks are invoked asynchronously, so the display of an application does not prevent other notebook cells from being evaluated. Multiple instances of the same dash application can be rendered at the same time within a single notebook. ## Binder use To launch a binder image, visit [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/GibbsConsulting/jupyter-plotly-dash/master) to run Jupyter notebooks using the latest version on the master branch of the main repository. %package help Summary: Development documents and examples for jupyter-plotly-dash Provides: python3-jupyter-plotly-dash-doc %description help # jupyter-plotly-dash [![PyPI version](https://badge.fury.io/py/jupyter-plotly-dash.svg)](https://badge.fury.io/py/jupyter-plotly-dash) [![Downloads](https://img.shields.io/pypi/dw/jupyter-plotly-dash.svg)](https://img.shields.io/pypi/dw/jupyter-plotly-dash.svg) ![Develop Branch Build Status](https://travis-ci.org/GibbsConsulting/jupyter-plotly-dash.svg?branch=master) [![Coverage Status](https://coveralls.io/repos/github/GibbsConsulting/jupyter-plotly-dash/badge.svg?branch=master)](https://coveralls.io/github/GibbsConsulting/jupyter-plotly-dash?branch=master) [![Documentation Status](https://readthedocs.org/projects/jupyter-plotly-dash/badge/?version=latest)](https://jupyter-plotly-dash.readthedocs.io/en/latest/?badge=latest) Allow use of [plotly dash](https://plot.ly/products/dash/) applications within Jupyter notebooks, with the management of both session and internal state. See the source for this project here: Try me here in your browser: [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/GibbsConsulting/jupyter-plotly-dash/master) More detailed information can be found in the online documentation at ## Installation Install the package. Use of a `virtualenv` environment is strongly recommended. pip install jupyter_plotly_dash Now the package is installed, it can be used within a Jupyter notebook. ## Simple use After installation, launch a python Jupyter notebook server using `jupyter notebook` or `jupyter lab` as desired. Create a `Dash` application, using the `JupyterDash` class instead of `dash.Dash` for the application, and copy the following into a code cell and evaluate it. ```python from jupyter_plotly_dash import JupyterDash import dash import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output app = JupyterDash('SimpleExample') app.layout = html.Div([ dcc.RadioItems( id='dropdown-color', options=[{'label': c, 'value': c.lower()} for c in ['Red', 'Green', 'Blue']], value='red' ), html.Div(id='output-color'), dcc.RadioItems( id='dropdown-size', options=[{'label': i, 'value': j} for i, j in [('L','large'), ('M','medium'), ('S','small')]], value='medium' ), html.Div(id='output-size') ]) @app.callback( dash.dependencies.Output('output-color', 'children'), [dash.dependencies.Input('dropdown-color', 'value')]) def callback_color(dropdown_value): return "The selected color is %s." % dropdown_value @app.callback( dash.dependencies.Output('output-size', 'children'), [dash.dependencies.Input('dropdown-color', 'value'), dash.dependencies.Input('dropdown-size', 'value')]) def callback_size(dropdown_color, dropdown_size): return "The chosen T-shirt is a %s %s one." %(dropdown_size, dropdown_color) app ``` The last line causes the dash application to be rendered. All callbacks are invoked asynchronously, so the display of an application does not prevent other notebook cells from being evaluated. Multiple instances of the same dash application can be rendered at the same time within a single notebook. ## Binder use To launch a binder image, visit [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/GibbsConsulting/jupyter-plotly-dash/master) to run Jupyter notebooks using the latest version on the master branch of the main repository. %prep %autosetup -n jupyter-plotly-dash-0.4.3 %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-jupyter-plotly-dash -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 10 2023 Python_Bot - 0.4.3-1 - Package Spec generated