Hvplot .interactive - The Easiest Way to Create an Interactive Dashboard

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This repo supports the blog post

The Easiest Way to Create an Interactive Dashboard in Python. Turn Pandas pipelines into a dashboard using hvplot .interactive

by Sophia Yang and Marc Skov Madsen

Check out the notebook and app on Binder or in Colab

Jupyter Notebook	Jupyter Labs	Panel Apps	VS Code	Colab

Installation

You can use either conda or pip. Here we provide the instructions for conda.

Basic

conda install -c conda-forge hvplot panel pandas jupyterlab

Advanced

Includes the Jupyter Preview and jupyter-panel-proxy server. Will also work in VS Code.

conda create --name hvplot_interactive -c conda-forge hvplot panel pandas jupyterlab jupyter-panel-proxy jupyter_bokeh
conda activate hvplot_interactive
jupyter serverextension enable panel.io.jupyter_server_extension

Run notebook locally

To run the notebook

jupyter lab hvplot_interactive.ipynb

If you installed jupyter-panel-proxy, then (on unix based systems) you can open the app at http://localhost:8888/panel/

Serve the app locally

To serve the app with auto reload you can run

panel serve hvplot_interactive.ipynb --autoreload --show

The app will appear at http://localhost:5006/hvplot_interactive

Use VS Code on Binder

To work with Panel and hvplot in VS Code in Binder you will need to set the python and Jupyter interpreter to notebook before you open the notebook.

jomarimendoza/hvplot_interactive