{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b0afe118",
   "metadata": {},
   "source": [
    "# Generic Information Search: Mapping and Analysis of Publications Tutorial"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02deaeb3",
   "metadata": {},
   "source": [
    "To facilitate the writing of your documentation, you can write Notebooks. Once included they will be rendered as the rest of your documentation pages!\n",
    "\n",
    "By default, PH3 creates a `tutorials` folder inside `docs`:\n",
    "\n",
    "- `docs/index.rst` has a link to `tutorials/index.rst`\n",
    "- `docs/tutorials/index.rst` as a link to the notebook(s).\n",
    "\n",
    "Feel free to adapt to your needs!\n",
    "\n",
    "The <h*> structure of your notebook (`#`/`##`/...) will be applied to the navigation bar of your documentation. The actual filenames are ignored.\n",
    "\n",
    "In particular:\n",
    "\n",
    "- Each notebook is rendered as a single webpage...\n",
    "- But you can create more than one entry with one unique notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1c3e483",
   "metadata": {},
   "source": [
    "## How to use MyClass1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cfec3903",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-16T15:08:58.106647Z",
     "start_time": "2023-10-16T15:08:58.094520Z"
    }
   },
   "outputs": [],
   "source": [
    "from gismap import MyClass1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "221a3fc1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-16T15:08:58.123445Z",
     "start_time": "2023-10-16T15:08:58.108112Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(a, b) = 42, 51\n"
     ]
    }
   ],
   "source": [
    "mc1 = MyClass1(a=42, b=51)\n",
    "print(mc1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dcbc68a3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-16T15:08:58.140522Z",
     "start_time": "2023-10-16T15:08:58.125451Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1764"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mc1.a_square"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "420fed8a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-16T15:08:58.155684Z",
     "start_time": "2023-10-16T15:08:58.142558Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "47.0"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mc1.divide_a_by_c_and_add_d(6, 40)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fcedc50",
   "metadata": {},
   "source": [
    "## How to use MyClass2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9165d681",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-16T15:08:58.167953Z",
     "start_time": "2023-10-16T15:08:58.158698Z"
    }
   },
   "outputs": [],
   "source": [
    "from gismap import MyClass2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "418d0b1c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-16T15:08:58.189374Z",
     "start_time": "2023-10-16T15:08:58.171983Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mc2 = MyClass2(a=9, b=4)\n",
    "mc2.addition()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52ea47de",
   "metadata": {},
   "source": [
    "# Advanced Tutorial Where we Display Graphs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a563baf",
   "metadata": {},
   "source": [
    "One nice feature of using notebooks is that it is very easy to add graphs to your documentation.\n",
    "\n",
    "Don't forget to add the graphic packages you need to your poetry dependencies!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e2e1b064",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-16T15:08:58.934457Z",
     "start_time": "2023-10-16T15:08:58.192411Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "x = [(i/100-2) for i in range(400)]\n",
    "y = [i**2 for i in x]\n",
    "plt.plot(x, y, label='$x^2$')\n",
    "plt.xlabel('x')\n",
    "plt.ylabel('y')\n",
    "plt.xlim([-2, 2])\n",
    "plt.ylim([0, 4])\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.4"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}