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| Voilà | JupyterLab |
|---|---|
| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# So easy, *voilà*!\n", | |
| "\n", | |
| "In this example notebook, we demonstrate how Voilà can render Jupyter notebooks with interactions requiring a roundtrip to the kernel." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Jupyter Widgets" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import ipywidgets as widgets\n", | |
| "\n", | |
| "slider = widgets.FloatSlider(description='$x$', value=4)\n", | |
| "text = widgets.FloatText(disabled=True, description='$x^2$')\n", | |
| "\n", | |
| "def compute(*ignore):\n", | |
| " text.value = str(slider.value ** 2)\n", | |
| "\n", | |
| "slider.observe(compute, 'value')\n", | |
| "\n", | |
| "widgets.VBox([slider, text])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "## Basic outputs of code cells" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import pandas as pd\n", | |
| "\n", | |
| "iris = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv')\n", | |
| "iris" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.8.5" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 4 | |
| } |
| bqplot | |
| ipywidgets~=8.0 | |
| jupyterlab~=4.0.5 | |
| matplotlib | |
| nbconvert>=7 | |
| pandas | |
| voila==0.5.0 |