85 lines
1.8 KiB
Plaintext
85 lines
1.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# So easy, *voilà*!\n",
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"\n",
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"In this example notebook, we demonstrate how Voilà can render custom Jupyter widgets such as [bqplot](https://github.com/bloomberg/bqplot). "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import warnings\n",
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"warnings.filterwarnings('ignore')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "f771faf1649e425480af29391b9a238e",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"VBox(children=(Figure(axes=[Axis(scale=LinearScale()), Axis(orientation='vertical', scale=LinearScale())], fig…"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import numpy as np\n",
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"from bqplot import pyplot as plt\n",
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"\n",
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"plt.figure(1, title='Line Chart')\n",
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"np.random.seed(0)\n",
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"n = 200\n",
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"x = np.linspace(0.0, 10.0, n)\n",
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"y = np.cumsum(np.random.randn(n))\n",
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"plt.plot(x, y)\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.8"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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