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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 custom Jupyter widgets such as [bqplot](https://github.com/bloomberg/bqplot). " | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import warnings\n", | |
| "warnings.filterwarnings('ignore')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import numpy as np\n", | |
| "from bqplot import pyplot as plt\n", | |
| "\n", | |
| "plt.figure(1, title='Line Chart')\n", | |
| "np.random.seed(0)\n", | |
| "n = 200\n", | |
| "x = np.linspace(0.0, 10.0, n)\n", | |
| "y = np.cumsum(np.random.randn(n))\n", | |
| "plt.plot(x, y)\n", | |
| "plt.show()" | |
| ] | |
| } | |
| ], | |
| "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": "3.7.3" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 2 | |
| } |
| bqplot | |
| ipywidgets~=8.0 | |
| jupyterlab~=4.0.5 | |
| matplotlib | |
| nbconvert>=7 | |
| pandas | |
| voila==0.5.0 |