{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import panel as pn\n",
    "\n",
    "pn.extension(sizing_mode='stretch_width')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This example demonstrates the powerful streaming capabilities of the `Trend` indicator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "layout = pn.layout.FlexBox(*(\n",
    "    pn.indicators.Trend(\n",
    "        data={'x': list(range(10)), 'y': np.random.randn(10).cumsum()},\n",
    "        width=150,\n",
    "        height=100,\n",
    "        plot_type=pn.indicators.Trend.param.plot_type.objects[i%4]\n",
    "    ) for i in range(32)\n",
    "))\n",
    "\n",
    "def stream():\n",
    "    for trend in layout:\n",
    "        trend.stream({'x': [trend.data['x'][-1]+1], 'y': [trend.data['y'][-1]+np.random.randn()]}, rollover=20)\n",
    "\n",
    "cb = pn.state.add_periodic_callback(stream, 500)\n",
    "\n",
    "pn.Card(layout)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## App\n",
    "\n",
    "Lets wrap it into nice template that can be served via `panel serve streaming_trend.ipynb`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "controls = pn.Row(*pn.Param(cb.param, parameters=['period', 'running'], show_name=False, width=300))\n",
    "controls[1].align='end'\n",
    "\n",
    "pn.template.FastListTemplate(\n",
    "    site=\"Panel\", \n",
    "    title=\"Streaming Trend\", \n",
    "    main=[\n",
    "        \"This example demonstrates the **powerful streaming capabilities** of Panel and the `Trend` indicator.\",\n",
    "        controls,\n",
    "        layout,\n",
    "    ]\n",
    ").servable();"
   ]
  }
 ],
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  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
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 "nbformat_minor": 4
}