{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "be52d92c",
   "metadata": {},
   "source": [
    "# Jupyter notebooks\n",
    "\n",
    "You can also create content with Jupyter Notebooks, using the [MyST-NB Sphinx extension](https://myst-nb.readthedocs.io/en/latest/).\n",
    "\n",
    "This page demonstrates some extra functionality that works with this theme.\n",
    "\n",
    "## Markdown + notebooks\n",
    "\n",
    "As it is markdown, you can embed images, HTML, etc into your posts!\n",
    "\n",
    "![](./images/cool.jpg)\n",
    "\n",
    "You an also $add_{math}$ and\n",
    "\n",
    "$$\n",
    "math^{blocks}\n",
    "$$\n",
    "\n",
    "or\n",
    "\n",
    "$$\n",
    "\\begin{align*}\n",
    "\\mbox{mean} la_{tex} \\\\ \\\\\n",
    "math blocks\n",
    "\\end{align*}\n",
    "$$\n",
    "\n",
    "But make sure you \\$Escape \\$your \\$dollar signs \\$you want to keep!\n",
    "\n",
    "## Code blocks and image outputs\n",
    "\n",
    "Jupyter Book will also embed your code blocks and output in your book.\n",
    "For example, here's some sample Matplotlib code:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d7cfb607",
   "metadata": {
    "tags": [
     "hide-cell",
     "thebe-init"
    ]
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Matplotlib is building the font cache; this may take a moment.\n"
     ]
    }
   ],
   "source": [
    "from matplotlib import rcParams, cycler\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ee7f984a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Fixing random state for reproducibility\n",
    "np.random.seed(19680801)\n",
    "\n",
    "N = 10\n",
    "data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]\n",
    "data = np.array(data).T\n",
    "cmap = plt.cm.coolwarm\n",
    "rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))\n",
    "\n",
    "\n",
    "from matplotlib.lines import Line2D\n",
    "custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),\n",
    "                Line2D([0], [0], color=cmap(.5), lw=4),\n",
    "                Line2D([0], [0], color=cmap(1.), lw=4)]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 5))\n",
    "lines = ax.plot(data)\n",
    "ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b19bc36",
   "metadata": {},
   "source": [
    "Note that the image above is captured and displayed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e4da7246",
   "metadata": {
    "tags": [
     "remove_input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Fixing random state for reproducibility\n",
    "np.random.seed(19680801)\n",
    "\n",
    "N = 10\n",
    "data = [np.logspace(0, 1, 100) + .1*np.random.randn(100) + ii for ii in range(N)]\n",
    "data = np.array(data).T\n",
    "cmap = plt.cm.coolwarm\n",
    "rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))\n",
    "\n",
    "\n",
    "from matplotlib.lines import Line2D\n",
    "custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),\n",
    "                Line2D([0], [0], color=cmap(.5), lw=4),\n",
    "                Line2D([0], [0], color=cmap(1.), lw=4)]\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10, 5))\n",
    "lines = ax.plot(data)\n",
    "ax.legend(custom_lines, ['Cold', 'Medium', 'Hot'])\n",
    "ax.set(title=\"Smoother lines\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48b5bbbd",
   "metadata": {},
   "source": [
    "```{margin} You can also pop out content to the margin\n",
    "For more information on how to do this,\n",
    "check out [](content-blocks.md).\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a598d344",
   "metadata": {
    "tags": [
     "margin"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this works for code cells too, if you add a `margin` tag to them\n"
     ]
    }
   ],
   "source": [
    "print(\"this works for code cells too, if you add a `margin` tag to them\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "94bab2ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$\\displaystyle \\sum_{i=0}^n i^2 = \f",
       "rac{(n^2+n)(2n+1)}{6}$"
      ],
      "text/plain": [
       "<IPython.core.display.Math object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# You can also include enriched outputs like Math\n",
    "from IPython.display import Math\n",
    "Math(\"\\sum_{i=0}^n i^2 = \\frac{(n^2+n)(2n+1)}{6}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "966e19ac",
   "metadata": {},
   "source": [
    "## Removing content before publishing\n",
    "\n",
    "You can also remove some content before publishing your book to the web. For example,\n",
    "in {download}`./notebooks.md`, there used to be a cell below..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c7fdf179",
   "metadata": {
    "tags": [
     "remove_cell"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "thisvariable = \"none of this should show up in the textbook\"\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "x = np.random.randn(100)\n",
    "y = np.random.randn(100)\n",
    "ax.scatter(x, y, s=np.abs(x*100), c=x, cmap=plt.cm.coolwarm)\n",
    "ax.text(0, .5, thisvariable, fontsize=20, transform=ax.transAxes)\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8a21ce1",
   "metadata": {},
   "source": [
    "You can also **remove only the code** so that images and other output still show up.\n",
    "\n",
    "Below we'll *only* display an image. It was generated with Python code in a cell,\n",
    "which you can {download}`see in the original notebook <./notebooks.md>`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2ea04e87",
   "metadata": {
    "tags": [
     "hide_input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "thisvariable = \"this plot *will* show up in the textbook.\"\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "x = np.random.randn(100)\n",
    "y = np.random.randn(100)\n",
    "ax.scatter(x, y, s=np.abs(x*100), c=x, cmap=plt.cm.coolwarm)\n",
    "ax.text(0, .5, thisvariable, fontsize=20, transform=ax.transAxes)\n",
    "ax.set_axis_off()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2c3b8d0",
   "metadata": {},
   "source": [
    "And here we'll *only* display a Pandas DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bc2ce07b",
   "metadata": {
    "tags": [
     "hide_input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Word A</th>\n",
       "      <th>Word B</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>hi</td>\n",
       "      <td>there</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>this</td>\n",
       "      <td>is</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>a</td>\n",
       "      <td>DataFrame</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Word A     Word B\n",
       "0     hi      there\n",
       "1   this         is\n",
       "2      a  DataFrame"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.DataFrame([['hi', 'there'], ['this', 'is'], ['a', 'DataFrame']], columns=['Word A', 'Word B'])\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ea96855",
   "metadata": {},
   "source": [
    "You can even style Pandas DataFrames!\n",
    "See [the Pandas Styling docs](https://pandas.pydata.org/pandas-docs/stable/user_guide/style.html) for more information."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9c66600c",
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_2dea0_row0_col0, #T_2dea0_row0_col1, #T_2dea0_row0_col2, #T_2dea0_row1_col0, #T_2dea0_row1_col3, #T_2dea0_row1_col4, #T_2dea0_row2_col0, #T_2dea0_row2_col2, #T_2dea0_row2_col3, #T_2dea0_row3_col0, #T_2dea0_row3_col1, #T_2dea0_row3_col2, #T_2dea0_row3_col3, #T_2dea0_row3_col4, #T_2dea0_row4_col0, #T_2dea0_row4_col1, #T_2dea0_row4_col2, #T_2dea0_row4_col3, #T_2dea0_row4_col4, #T_2dea0_row5_col0, #T_2dea0_row5_col2, #T_2dea0_row5_col3, #T_2dea0_row6_col0, #T_2dea0_row6_col1, #T_2dea0_row6_col4, #T_2dea0_row7_col0, #T_2dea0_row7_col1, #T_2dea0_row7_col2, #T_2dea0_row7_col4, #T_2dea0_row8_col0, #T_2dea0_row9_col2, #T_2dea0_row9_col4 {\n",
       "  color: black;\n",
       "}\n",
       "#T_2dea0_row0_col3, #T_2dea0_row0_col4, #T_2dea0_row1_col1, #T_2dea0_row1_col2, #T_2dea0_row2_col1, #T_2dea0_row5_col1, #T_2dea0_row5_col4, #T_2dea0_row6_col3, #T_2dea0_row7_col3, #T_2dea0_row8_col2, #T_2dea0_row8_col4, #T_2dea0_row9_col1, #T_2dea0_row9_col3 {\n",
       "  color: red;\n",
       "}\n",
       "#T_2dea0_row2_col4, #T_2dea0_row6_col2, #T_2dea0_row8_col1, #T_2dea0_row8_col3, #T_2dea0_row9_col0 {\n",
       "  color: black;\n",
       "  background-color: yellow;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_2dea0_\" style=\"font-size: 10px\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th class=\"col_heading level0 col0\" >A</th>\n",
       "      <th class=\"col_heading level0 col1\" >B</th>\n",
       "      <th class=\"col_heading level0 col2\" >C</th>\n",
       "      <th class=\"col_heading level0 col3\" >D</th>\n",
       "      <th class=\"col_heading level0 col4\" >E</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_2dea0_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_2dea0_row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
       "      <td id=\"T_2dea0_row0_col1\" class=\"data row0 col1\" >1.329212</td>\n",
       "      <td id=\"T_2dea0_row0_col2\" class=\"data row0 col2\" >nan</td>\n",
       "      <td id=\"T_2dea0_row0_col3\" class=\"data row0 col3\" >-0.316280</td>\n",
       "      <td id=\"T_2dea0_row0_col4\" class=\"data row0 col4\" >-0.990810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_2dea0_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_2dea0_row1_col0\" class=\"data row1 col0\" >2.000000</td>\n",
       "      <td id=\"T_2dea0_row1_col1\" class=\"data row1 col1\" >-1.070816</td>\n",
       "      <td id=\"T_2dea0_row1_col2\" class=\"data row1 col2\" >-1.438713</td>\n",
       "      <td id=\"T_2dea0_row1_col3\" class=\"data row1 col3\" >0.564417</td>\n",
       "      <td id=\"T_2dea0_row1_col4\" class=\"data row1 col4\" >0.295722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_2dea0_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_2dea0_row2_col0\" class=\"data row2 col0\" >3.000000</td>\n",
       "      <td id=\"T_2dea0_row2_col1\" class=\"data row2 col1\" >-1.626404</td>\n",
       "      <td id=\"T_2dea0_row2_col2\" class=\"data row2 col2\" >0.219565</td>\n",
       "      <td id=\"T_2dea0_row2_col3\" class=\"data row2 col3\" >0.678805</td>\n",
       "      <td id=\"T_2dea0_row2_col4\" class=\"data row2 col4\" >1.889273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_2dea0_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "      <td id=\"T_2dea0_row3_col0\" class=\"data row3 col0\" >4.000000</td>\n",
       "      <td id=\"T_2dea0_row3_col1\" class=\"data row3 col1\" >0.961538</td>\n",
       "      <td id=\"T_2dea0_row3_col2\" class=\"data row3 col2\" >0.104011</td>\n",
       "      <td id=\"T_2dea0_row3_col3\" class=\"data row3 col3\" >nan</td>\n",
       "      <td id=\"T_2dea0_row3_col4\" class=\"data row3 col4\" >0.850229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_2dea0_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "      <td id=\"T_2dea0_row4_col0\" class=\"data row4 col0\" >5.000000</td>\n",
       "      <td id=\"T_2dea0_row4_col1\" class=\"data row4 col1\" >1.453425</td>\n",
       "      <td id=\"T_2dea0_row4_col2\" class=\"data row4 col2\" >1.057737</td>\n",
       "      <td id=\"T_2dea0_row4_col3\" class=\"data row4 col3\" >0.165562</td>\n",
       "      <td id=\"T_2dea0_row4_col4\" class=\"data row4 col4\" >0.515018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_2dea0_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "      <td id=\"T_2dea0_row5_col0\" class=\"data row5 col0\" >6.000000</td>\n",
       "      <td id=\"T_2dea0_row5_col1\" class=\"data row5 col1\" >-1.336936</td>\n",
       "      <td id=\"T_2dea0_row5_col2\" class=\"data row5 col2\" >0.562861</td>\n",
       "      <td id=\"T_2dea0_row5_col3\" class=\"data row5 col3\" >1.392855</td>\n",
       "      <td id=\"T_2dea0_row5_col4\" class=\"data row5 col4\" >-0.063328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_2dea0_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "      <td id=\"T_2dea0_row6_col0\" class=\"data row6 col0\" >7.000000</td>\n",
       "      <td id=\"T_2dea0_row6_col1\" class=\"data row6 col1\" >0.121668</td>\n",
       "      <td id=\"T_2dea0_row6_col2\" class=\"data row6 col2\" >1.207603</td>\n",
       "      <td id=\"T_2dea0_row6_col3\" class=\"data row6 col3\" >-0.002040</td>\n",
       "      <td id=\"T_2dea0_row6_col4\" class=\"data row6 col4\" >1.627796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_2dea0_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "      <td id=\"T_2dea0_row7_col0\" class=\"data row7 col0\" >8.000000</td>\n",
       "      <td id=\"T_2dea0_row7_col1\" class=\"data row7 col1\" >0.354493</td>\n",
       "      <td id=\"T_2dea0_row7_col2\" class=\"data row7 col2\" >1.037528</td>\n",
       "      <td id=\"T_2dea0_row7_col3\" class=\"data row7 col3\" >-0.385684</td>\n",
       "      <td id=\"T_2dea0_row7_col4\" class=\"data row7 col4\" >0.519818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_2dea0_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "      <td id=\"T_2dea0_row8_col0\" class=\"data row8 col0\" >9.000000</td>\n",
       "      <td id=\"T_2dea0_row8_col1\" class=\"data row8 col1\" >1.686583</td>\n",
       "      <td id=\"T_2dea0_row8_col2\" class=\"data row8 col2\" >-1.325963</td>\n",
       "      <td id=\"T_2dea0_row8_col3\" class=\"data row8 col3\" >1.428984</td>\n",
       "      <td id=\"T_2dea0_row8_col4\" class=\"data row8 col4\" >-2.089354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_2dea0_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "      <td id=\"T_2dea0_row9_col0\" class=\"data row9 col0\" >10.000000</td>\n",
       "      <td id=\"T_2dea0_row9_col1\" class=\"data row9 col1\" >-0.129820</td>\n",
       "      <td id=\"T_2dea0_row9_col2\" class=\"data row9 col2\" >0.631523</td>\n",
       "      <td id=\"T_2dea0_row9_col3\" class=\"data row9 col3\" >-0.586538</td>\n",
       "      <td id=\"T_2dea0_row9_col4\" class=\"data row9 col4\" >0.290720</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f23b6547450>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "np.random.seed(24)\n",
    "df = pd.DataFrame({'A': np.linspace(1, 10, 10)})\n",
    "df = pd.concat([df, pd.DataFrame(np.random.randn(10, 4), columns=list('BCDE'))],\n",
    "               axis=1)\n",
    "df.iloc[3, 3] = np.nan\n",
    "df.iloc[0, 2] = np.nan\n",
    "\n",
    "def color_negative_red(val):\n",
    "    \"\"\"\n",
    "    Takes a scalar and returns a string with\n",
    "    the css property `'color: red'` for negative\n",
    "    strings, black otherwise.\n",
    "    \"\"\"\n",
    "    color = 'red' if val < 0 else 'black'\n",
    "    return 'color: %s' % color\n",
    "\n",
    "def highlight_max(s):\n",
    "    '''\n",
    "    highlight the maximum in a Series yellow.\n",
    "    '''\n",
    "    is_max = s == s.max()\n",
    "    return ['background-color: yellow' if v else '' for v in is_max]\n",
    "\n",
    "df.style.\\\n",
    "    applymap(color_negative_red).\\\n",
    "    apply(highlight_max).\\\n",
    "    set_table_attributes('style=\"font-size: 10px\"')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbc55b3b",
   "metadata": {
    "tags": [
     "popout"
    ]
   },
   "source": [
    "Testing popouts before headers"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5041f6ec",
   "metadata": {},
   "source": [
    "## Interactive outputs\n",
    "\n",
    "We can even do the same for *interactive* material. Below we'll display a map using [folium](https://python-visualization.github.io/folium/). When the notebook\n",
    "is converted to Markdown, the code for creating the interactive map is retained.\n",
    "\n",
    "**Note that this will only work for some packages.** They need to be able to output standalone HTML/Javascript, and not\n",
    "depend on an underlying Python kernel to work."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ce7ad836",
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6eda6afd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;head&gt;    \n",
       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
       "        &lt;/script&gt;\n",
       "    \n",
       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_7e5c00b6e8282e813e7f68fcf8b32903 {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_7e5c00b6e8282e813e7f68fcf8b32903&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;    \n",
       "    \n",
       "            var map_7e5c00b6e8282e813e7f68fcf8b32903 = L.map(\n",
       "                &quot;map_7e5c00b6e8282e813e7f68fcf8b32903&quot;,\n",
       "                {\n",
       "                    center: [45.372, -121.6972],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 12,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_1f901e6500adc28cda102e3978e5d9cf = L.tileLayer(\n",
       "                &quot;https://stamen-tiles-{s}.a.ssl.fastly.net/terrain/{z}/{x}/{y}.jpg&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Map tiles by \\u003ca href=\\&quot;http://stamen.com\\&quot;\\u003eStamen Design\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://creativecommons.org/licenses/by/3.0\\&quot;\\u003eCC BY 3.0\\u003c/a\\u003e. Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://creativecommons.org/licenses/by-sa/3.0\\&quot;\\u003eCC BY SA\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_7e5c00b6e8282e813e7f68fcf8b32903);\n",
       "        \n",
       "    \n",
       "            var marker_5ef5e0aa0dcd6fb0d5b77b00b30a9308 = L.marker(\n",
       "                [45.3288, -121.6625],\n",
       "                {}\n",
       "            ).addTo(map_7e5c00b6e8282e813e7f68fcf8b32903);\n",
       "        \n",
       "    \n",
       "            var icon_9b545482086d607b97c0f27f29da89da = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;cloud&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;blue&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_5ef5e0aa0dcd6fb0d5b77b00b30a9308.setIcon(icon_9b545482086d607b97c0f27f29da89da);\n",
       "        \n",
       "    \n",
       "        var popup_38058138a7daae68a6731982ec836d6f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_33845a8e09559c598425e1a46e6abe09 = $(`&lt;div id=&quot;html_33845a8e09559c598425e1a46e6abe09&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Mt. Hood Meadows&lt;/div&gt;`)[0];\n",
       "            popup_38058138a7daae68a6731982ec836d6f.setContent(html_33845a8e09559c598425e1a46e6abe09);\n",
       "        \n",
       "\n",
       "        marker_5ef5e0aa0dcd6fb0d5b77b00b30a9308.bindPopup(popup_38058138a7daae68a6731982ec836d6f)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_dc90a33627886da696e8ca6b5253d47f = L.marker(\n",
       "                [45.3311, -121.7113],\n",
       "                {}\n",
       "            ).addTo(map_7e5c00b6e8282e813e7f68fcf8b32903);\n",
       "        \n",
       "    \n",
       "            var icon_0f0cd36d7aaeb7e228e5fb3a5411c25a = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_dc90a33627886da696e8ca6b5253d47f.setIcon(icon_0f0cd36d7aaeb7e228e5fb3a5411c25a);\n",
       "        \n",
       "    \n",
       "        var popup_e5a3bdb85fea38022088d8428d4fb377 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_788e5490da49d913798f0af208faa237 = $(`&lt;div id=&quot;html_788e5490da49d913798f0af208faa237&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Timberline Lodge&lt;/div&gt;`)[0];\n",
       "            popup_e5a3bdb85fea38022088d8428d4fb377.setContent(html_788e5490da49d913798f0af208faa237);\n",
       "        \n",
       "\n",
       "        marker_dc90a33627886da696e8ca6b5253d47f.bindPopup(popup_e5a3bdb85fea38022088d8428d4fb377)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_03454b97e52ad6962cb26269b48f7911 = L.marker(\n",
       "                [45.33, -121.6823],\n",
       "                {}\n",
       "            ).addTo(map_7e5c00b6e8282e813e7f68fcf8b32903);\n",
       "        \n",
       "    \n",
       "            var icon_f94893bdcfc54544c0650023e70a4fbb = L.AwesomeMarkers.icon(\n",
       "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;red&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
       "            );\n",
       "            marker_03454b97e52ad6962cb26269b48f7911.setIcon(icon_f94893bdcfc54544c0650023e70a4fbb);\n",
       "        \n",
       "    \n",
       "        var popup_dba9efe169222e5d135c0964e7cba90a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_8c497ed702c80bc266274211f7bd6072 = $(`&lt;div id=&quot;html_8c497ed702c80bc266274211f7bd6072&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Some Other Location&lt;/div&gt;`)[0];\n",
       "            popup_dba9efe169222e5d135c0964e7cba90a.setContent(html_8c497ed702c80bc266274211f7bd6072);\n",
       "        \n",
       "\n",
       "        marker_03454b97e52ad6962cb26269b48f7911.bindPopup(popup_dba9efe169222e5d135c0964e7cba90a)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f23b58bf850>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = folium.Map(\n",
    "    location=[45.372, -121.6972],\n",
    "    zoom_start=12,\n",
    "    tiles='Stamen Terrain'\n",
    ")\n",
    "\n",
    "folium.Marker(\n",
    "    location=[45.3288, -121.6625],\n",
    "    popup='Mt. Hood Meadows',\n",
    "    icon=folium.Icon(icon='cloud')\n",
    ").add_to(m)\n",
    "\n",
    "folium.Marker(\n",
    "    location=[45.3311, -121.7113],\n",
    "    popup='Timberline Lodge',\n",
    "    icon=folium.Icon(color='green')\n",
    ").add_to(m)\n",
    "\n",
    "folium.Marker(\n",
    "    location=[45.3300, -121.6823],\n",
    "    popup='Some Other Location',\n",
    "    icon=folium.Icon(color='red', icon='info-sign')\n",
    ").add_to(m)\n",
    "\n",
    "\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5764b0a5",
   "metadata": {},
   "source": [
    "## Rich outputs from notebook cells"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0cf3d3b",
   "metadata": {},
   "source": [
    "Because notebooks have rich text outputs, you can store these in\n",
    "your Jupyter Book as well!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "780a53e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "usage: jupyter [-h] [--version] [--config-dir] [--data-dir] [--runtime-dir]\r\n",
      "               [--paths] [--json] [--debug]\r\n",
      "               [subcommand]\r\n",
      "\r\n",
      "Jupyter: Interactive Computing\r\n",
      "\r\n",
      "positional arguments:\r\n",
      "  subcommand     the subcommand to launch\r\n",
      "\r\n",
      "optional arguments:\r\n",
      "  -h, --help     show this help message and exit\r\n",
      "  --version      show the versions of core jupyter packages and exit\r\n",
      "  --config-dir   show Jupyter config dir\r\n",
      "  --data-dir     show Jupyter data dir\r\n",
      "  --runtime-dir  show Jupyter runtime dir\r\n",
      "  --paths        show all Jupyter paths. Add --json for machine-readable\r\n",
      "                 format.\r\n",
      "  --json         output paths as machine-readable json\r\n",
      "  --debug        output debug information about paths\r\n",
      "\r\n",
      "Available subcommands: bundlerextension dejavu execute kernel kernelspec\r\n",
      "migrate nbconvert nbextension notebook run serverextension troubleshoot trust\r\n"
     ]
    }
   ],
   "source": [
    "# The ! causes this to run as a shell command\n",
    "!jupyter -h"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1d70fa7",
   "metadata": {},
   "source": [
    "## Formatting code cells\n",
    "\n",
    "### Scrolling cell outputs\n",
    "\n",
    "The traditional Jupyter Notebook interface allows you to toggle **output scrolling**\n",
    "for your cells. This allows you to visualize part of a long output without it taking up\n",
    "the entire page.\n",
    "\n",
    "You can trigger this behavior in Jupyter Book by adding the following\n",
    "tag to a cell's metadata:\n",
    "\n",
    "```json\n",
    "{\n",
    "    \"tags\": [\n",
    "        \"scroll-output\",\n",
    "    ]\n",
    "}\n",
    "```\n",
    "\n",
    "For example, the following cell has a long output, but will be scrollable in the book:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6d147fef",
   "metadata": {
    "tags": [
     "output_scroll"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this is output line 0\n",
      "this is output line 1\n",
      "this is output line 2\n",
      "this is output line 3\n",
      "this is output line 4\n",
      "this is output line 5\n",
      "this is output line 6\n",
      "this is output line 7\n",
      "this is output line 8\n",
      "this is output line 9\n",
      "this is output line 10\n",
      "this is output line 11\n",
      "this is output line 12\n",
      "this is output line 13\n",
      "this is output line 14\n",
      "this is output line 15\n",
      "this is output line 16\n",
      "this is output line 17\n",
      "this is output line 18\n",
      "this is output line 19\n",
      "this is output line 20\n",
      "this is output line 21\n",
      "this is output line 22\n",
      "this is output line 23\n",
      "this is output line 24\n",
      "this is output line 25\n",
      "this is output line 26\n",
      "this is output line 27\n",
      "this is output line 28\n",
      "this is output line 29\n",
      "this is output line 30\n",
      "this is output line 31\n",
      "this is output line 32\n",
      "this is output line 33\n",
      "this is output line 34\n",
      "this is output line 35\n",
      "this is output line 36\n",
      "this is output line 37\n",
      "this is output line 38\n",
      "this is output line 39\n"
     ]
    }
   ],
   "source": [
    "for ii in range(40):\n",
    "    print(f\"this is output line {ii}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81652a2c",
   "metadata": {},
   "source": [
    "### Scrolling cell inputs\n",
    "\n",
    "If your input code is long and takes up a lot of your page, you can make it scrollable\n",
    "as well by adding the following tag to a cell's metadata:\n",
    "\n",
    "```json\n",
    "{\n",
    "    \"tags\": [\n",
    "        \"scroll-input\",\n",
    "    ]\n",
    "}\n",
    "```\n",
    "\n",
    "For example, the following cell has a long input, but will be scrollable in the book:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "94668c14",
   "metadata": {
    "tags": [
     "scroll-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This line has no meaning\n"
     ]
    }
   ],
   "source": [
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "b = \"This line has no meaning\"\n",
    "print(b)"
   ]
  }
 ],
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