{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "cell_marker": "\"\"\""
   },
   "source": [
    "# Example Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup and Helper Functions"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from fau_colors import cmaps\n",
    "\n",
    "from pepbench.example_data import get_example_dataset\n",
    "\n",
    "%matplotlib inline\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ],
   "outputs": [],
   "execution_count": null
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "plt.close(\"all\")\n",
    "\n",
    "palette = sns.color_palette(cmaps.faculties)\n",
    "sns.set_theme(context=\"notebook\", style=\"ticks\", font=\"sans-serif\", palette=palette)\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (10, 5)\n",
    "plt.rcParams[\"pdf.fonttype\"] = 42\n",
    "plt.rcParams[\"mathtext.default\"] = \"regular\"\n",
    "\n",
    "palette"
   ],
   "outputs": [],
   "execution_count": null
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "dataset = get_example_dataset()\n",
    "dataset"
   ],
   "outputs": [],
   "execution_count": null
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "subset = dataset.get_subset(participant=\"VP_001\")\n",
    "\n",
    "subset.ecg.plot()"
   ],
   "outputs": [],
   "execution_count": null
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [
    "subset.reference_heartbeats"
   ],
   "outputs": [],
   "execution_count": null
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [],
   "outputs": [],
   "execution_count": null
  },
  {
   "cell_type": "code",
   "metadata": {},
   "source": [],
   "outputs": [],
   "execution_count": null
  }
 ],
 "metadata": {
  "jupytext": {
   "encoding": "# -*- coding: utf-8 -*-",
   "text_representation": {
    "extension": ".py",
    "format_name": "sphinx",
    "format_version": "1.1",
    "jupytext_version": "1.13.0"
   }
  },
  "kernelspec": {
   "display_name": "pepbench",
   "language": "python",
   "name": "pepbench"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  },
  "toc-showtags": false,
  "vscode": {
   "interpreter": {
    "hash": "7014e6a8beff3a47c7c0424a6c63a486addc0ee3d12468bf1ae9a85a56cca70c"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}