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            "Development Status :: 3 - Alpha",
            "Framework :: Dash",
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            "License :: OSI Approved :: GNU Affero General Public License v3",
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        "description": "# jupyter-plotly-dash\n\n[![PyPI version](https://badge.fury.io/py/jupyter-plotly-dash.svg)](https://badge.fury.io/py/jupyter-plotly-dash)\n[![Downloads](https://img.shields.io/pypi/dw/jupyter-plotly-dash.svg)](https://img.shields.io/pypi/dw/jupyter-plotly-dash.svg)\n![Develop Branch Build Status](https://travis-ci.org/GibbsConsulting/jupyter-plotly-dash.svg?branch=master)\n[![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)\n[![Documentation Status](https://readthedocs.org/projects/jupyter-plotly-dash/badge/?version=latest)](https://jupyter-plotly-dash.readthedocs.io/en/latest/?badge=latest)\n\nAllow use of [plotly dash](https://plot.ly/products/dash/) applications within Jupyter notebooks, with the management of both session and internal state.\n\nSee the source for this project here:\n<https://github.com/GibbsConsulting/jupyter-plotly-dash>\n\nTry me here in your browser: [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/GibbsConsulting/jupyter-plotly-dash/master)\n\nMore detailed information\ncan be found in the online documentation at\n<https://readthedocs.org/projects/jupyter-plotly-dash>\n\n## Installation\n\nInstall the package. Use of a `virtualenv` environment is strongly recommended.\n\n    pip install jupyter_plotly_dash\n\nNow the package is installed, it can be used within a Jupyter notebook.\n\n## Simple use\n\nAfter installation, launch a python Jupyter notebook server using `jupyter notebook` or `jupyter lab` as desired. Create a `Dash` application, using\nthe `JupyterDash` class instead of `dash.Dash` for the application, and copy the following into a code cell and evaluate it.\n\n```python\nfrom jupyter_plotly_dash import JupyterDash\n\nimport dash\nimport dash_core_components as dcc\nimport dash_html_components as html\nfrom dash.dependencies import Input, Output\n\napp = JupyterDash('SimpleExample')\n\napp.layout = html.Div([\n    dcc.RadioItems(\n        id='dropdown-color',\n        options=[{'label': c, 'value': c.lower()}\n                 for c in ['Red', 'Green', 'Blue']],\n        value='red'\n    ),\n    html.Div(id='output-color'),\n    dcc.RadioItems(\n        id='dropdown-size',\n        options=[{'label': i, 'value': j}\n                 for i, j in [('L','large'), ('M','medium'), ('S','small')]],\n        value='medium'\n    ),\n    html.Div(id='output-size')\n\n])\n\n@app.callback(\n    dash.dependencies.Output('output-color', 'children'),\n    [dash.dependencies.Input('dropdown-color', 'value')])\ndef callback_color(dropdown_value):\n    return \"The selected color is %s.\" % dropdown_value\n\n@app.callback(\n    dash.dependencies.Output('output-size', 'children'),\n    [dash.dependencies.Input('dropdown-color', 'value'),\n     dash.dependencies.Input('dropdown-size', 'value')])\ndef callback_size(dropdown_color, dropdown_size):\n    return \"The chosen T-shirt is a %s %s one.\" %(dropdown_size,\n                                                  dropdown_color)\n\napp\n```\n\nThe last line causes the dash application to be rendered. All callbacks are invoked asynchronously, so the display of an\napplication does not prevent other notebook cells from being evaluated. Multiple instances of the same dash application\ncan be rendered at the same time within a single notebook.\n\n## Binder use\n\nTo launch a binder\nimage, visit [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/GibbsConsulting/jupyter-plotly-dash/master) to\nrun Jupyter notebooks using the latest version on the master branch of the main repository.\n\n\n",
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