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Voilà | JupyterLab |
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{ | |
"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~=7.6 | |
jupyterlab==3.1.13 | |
matplotlib | |
pandas | |
voila==0.2.16 |