data-viz/line-chart-multiple-plots.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Two functions that will be used frequently with the data from the federal reserve\n",
    "py.plot()\n",
    "py.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vM00hWPaemf8bVwE/AZ7qHp+Y9J7eZK9/CvyM+d8sub07dxfwoe757zD/GyNzwA+Adw987u3d5x3iLP3NqHHuGfhr4L8Hfq5PARdMej8r+TMe+BpTFwL/FxOS1Dh/a0iSGmcIJKlxhkCSGmcIJKlxhkCSGmcIJKlxhkCSGve/5wv9yACcdLkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "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>DATE</th>\n",
       "      <th>UNRATE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1948-01-01</td>\n",
       "      <td>3.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1948-02-01</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1948-03-01</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1948-04-01</td>\n",
       "      <td>3.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1948-05-01</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>868</th>\n",
       "      <td>2020-05-01</td>\n",
       "      <td>13.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>869</th>\n",
       "      <td>2020-06-01</td>\n",
       "      <td>11.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>870</th>\n",
       "      <td>2020-07-01</td>\n",
       "      <td>10.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>871</th>\n",
       "      <td>2020-08-01</td>\n",
       "      <td>8.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>872</th>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>873 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          DATE  UNRATE\n",
       "0   1948-01-01     3.4\n",
       "1   1948-02-01     3.8\n",
       "2   1948-03-01     4.0\n",
       "3   1948-04-01     3.9\n",
       "4   1948-05-01     3.5\n",
       "..         ...     ...\n",
       "868 2020-05-01    13.3\n",
       "869 2020-06-01    11.1\n",
       "870 2020-07-01    10.2\n",
       "871 2020-08-01     8.4\n",
       "872 2020-09-01     7.9\n",
       "\n",
       "[873 rows x 2 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unrate = pd.read_csv('UNRATE.csv')\n",
    "unrate['DATE'] = pd.to_datetime(unrate['DATE'])\n",
    "unrate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Matplotlib will accept any iterable object, like NumPy arrays and pandas.Series instances.\n",
    "plt.plot(x_values,y_values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1b4c5af7be0>]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Lgbiz1AVTQnIOSkFMpwaphJm4UL4KYD/nvINz7gPwOoBT1REreXa3Cf6tfR392b40kQLeQDBsKo6Ug723vQ//8+JGXPvUWvzqrW1p+cR3tvbg/vd2hr32eJIulBGlNrT2uLFHB1Nc1h/swsPLd+daDF0hKb1UslCUKG/gx/pzs9KaXFuCD245A3PrKxIfnCKZKPBDAOYzxuyMMQbgLABN6oiVOom7JBC5xOvnYS4USYEv3dqCdzYfxWe7O/Hs6oNy69BUuOWlTXjsk73Yq7iJy2O4CuJb4KdPFFaFb29uSfm6anPlE2vxxw935TztTU84PZICT88Cn1IbmsbU1Zfd91UyKArMRkyqKU6qm2KqZOIDXwvgVQAbAGwVz/W4SnIRgwxfIAhLFBfKRzvbw447noZPXLLstzZ3y/ukG0G8NEIAOLm+ApNrinURR5GMkE05SnvTI1KQO5VSeiW3fHWivJ3tnjfyelBD6zKjLBTO+a8455M55ydwzq/lnGd9jaIcHEroF18gCLMx9E2O1VnuczHdMBVsZuFrfKQrVHV33OmF0cBQYkts9YwsK0CHDgKZw8VOjU9+tj/HkugHKfAXqyFZIiqLrHjppvkotprwzOcHctJ5UkvvQN5XYkpuT0Y+FF3j9QcHTIY/a/LwAcfd/sa2lM8tNe9vUfQ06er3otxuBkvii1Eq5qTnml63oKxW7unUpOw6H+n3JD/MIRbzxw5Dr3ief2/LnqtM42abAAaBApdI5oeaLd7c2IxfvZW6IhrMRAYxAeBP3zpR3l526xlpnbe91y23Dn1h7SFMufN9XPvUWrz4xWHZz56IsgILmrtduPSvqzRJ9UoGlzeAbqdPnijT7SI/OBByoaRrgUfyp//sUuU8qaClbho0Clwv9Hv8uOXlTXh29cGcKQM9EukDB4SJOBJjK4vk7VSWue09guvjgulCAyOXL4DPdgtumJqS6JN4IpEyVTYc6sYX+7uE8ypuDNlg46HjAIApYqXq5sO5yVnWG/0pjFOLxwvfmwcAONTl1LwPfQjtr0MKXGV+/toWeXtnq7b9rvMJXyA8CwUI+cGnjSiBwcDw64umAgC6UsjC8PiFLIXLxbJpJdL0n0Qop9Z/55l1AIBz/vwpFtz/UVZ+7MEgx7V//wIAMGNUKQDge881wqEDt06u6ROzUNINYkqcOq4Sd104Ff4gTytQngnkA4+D3kKYyr4LnVlOW9Izgg984Fd59W2L8Mr3TwGg6M+dQmGNVJxhMw38KhfbEk8xB4DhJeGull++sVX2iWvRvyKS1zYcQSDIcc380Thl7DB5/8bDxzW/tt7JNIipRPp+ZavFLPnAkyBrq6EkqSwKWX2UzxvCF8UHDgC1pQXy8liakJPKwGOpUb4tysDbZIbgCjKEK/AX1h6St7PRJ2V5k5BK+aNFEzBtZCnGDLMDAHa15b64KNf0e/wwsOQ/y3iMrhDe1z1Zbm6lZXgu7xW4hF5imF5/UF4G6yGzQS94I0rpoyFZSDc+25j0zU+2wKP8wCMVcyyqimO7Wtp7PZj3u2WoX7IUP3xhQ1LnS5Vulxdz6yswvMSGIqsJH//0TNgtRrQ6cp/amGv6PH4UWkyqBAIn1xTDZGC4+aVN2KHxOD8gO94B9UuDhjgefwBldovYZzo5BX64ywkAqBMthMGIxxeEzRTfiqpSrF72dvTjpDHxqygBIWgJCBbau/9zGhwuH/Z39sNoYPjGSaOSkq22tAAPXzkLJ40px4c72uBw+bCsqQ1bjjjw8heH0SYGSt/d0oJHrkrqlCnR7fSFffaMMdSU2vDahiO4al4dxg8vjvPqwU2/x69aBaPJaMDPzp2E+97biaaWHkwdUaLKeRPBNPSC570FrrdCHo8/CJvJgFK7We6Il4jTH1iB0x9YobFkucXtC8gFN7EwKVwsviSHwIZcKAacMLIUC8ZX4pr5Y3Dl3NEwxigWisZFM0dgRFkBrj+1Hj86awIeu+YkAMDLjYfDjvNrMJzW4Ro4OchkYHC4fLj8/9aofr18ot8TyDiAqeTq+WMAZKcvCvnAU0DLu1wqePxBWM1GFFlN6PckDoAph502tQzerBVBgSf/Q3xoWXL5utL7Z1XBR6pkRFkB/nr1bPnxyfXlAICLH12lanbIgc5+tDjcA5puWcXVyrF+L3rdQ9cV1+fxq5YDDgidAa0mA45lIcFAymAiH3g8uPRHH5a4xxeA1WSA3WKE05s4D3yjYrDvba9v1VCy3ME5h9sfTGiBA8CtZwu9K9bs60rq3B6/5ANX/6t81pRQpegcsZPc9qM9+GyPOn3tHU4fnl9zEABw+oTwVssPXjYTI0Qf/tYjQzcnXE0XCiC4pyqLrOjI4nAHSiNMglz0OIiGxx+E1WRAoSU5C/y+90INHBO1Ps1XfAGOQJAn9IEDwHdPb5C3A0l8pm5fAIxhQI65GlhNRrnYaL4ivW+LCgrV4fRh5m/+g6dW7kddRQHOmBiuwCfVFOO9m4Xq1FzNdNQDfSorcACoLLJkxwLX/AqDQIEva2oDAPh1pcCNsFuNchVZPPo9frngZFR5cpWD+YZbLLYpSKKns91iwqWzRwIA/hXhf46GyxuQJ91rgeTKqCyy4K0fLECx1YROFRpfvbbhiLx93fz6qMeU2s0YW1WIP3zwJY4cd2Z8zXyk36uuCwUAhhVZs9sbnFwo0en3+OUe0PqxwAOwmg0otJqSKqV3uHxYNLkaY4bZ0ecenKX3qfqprz+lHgDwxw8T+8Hd/tR866liFVMfC8xGzKwrw+hhdnSn0bM8kt+8u0Pe/tbJdTGPmyhmoFwvVmoONdQOYgLAsMIsWeAUxIyPcsadHizwQJDLJeOFFmPCKj7OObqdPpTbzTjc5cSbm46iZxAGrDxxqiWjMbOuDDcsaIA7iSpIty+Y9HnTQVodGUQLv9xuUbVAa+0vz4o7t7O2TJxcNEQnTmnhQhlWZEWLw41vPbY6K4YfpRHGQNnD+fDx7DUeioXUOa3YZoLdktgC7+r3wh/kKLdbIH2PNhwcfOXT8aolY1FkNaLP60/YiyTV7JZU+ds1J+H2C6bI1ZGldjNaHW4cPJa+QpWC2xWFFgyPU0QEhAYSFFtNONA5tJS4LxCE1x9EUZrTeGLRUCl8ll8c6JLbzGpBNhIr8lqBuxQW2jubj2qSo5sKPeLSuqTAjEKrEf3eQFwF9OIXQsm2su1p7yB0oyiLbZKlyGYC54l7kbh9AdVTCJVUl9jwvTPGyj72EaU2HHW4celfP0/7nFKvlzsWT0nouy8tMOPyOXXo9fhx5oMfJxXYHSyo0Qs8GrNGl8vbyWSKZQqlEcYg8s3f05HdHgeRyGO8CswotJoQCHI5zS0a/aJyumB6LVYtWQQgtT4g+UK8cvdYFFkFt0JfAgvJ7UsuPVEtbj17Eq6aNxrH+r1pD11oFT/jmpLkSv2VbXez3ccjl6jdC1xiYnUxfnbuJAAaNysjH3h8nL7wN3+TIqc6F4QpcHHZF+8L4vIGUGIzwWhgGFFqg9nIBmUHQ2W1ZLJIgatEKxK3L6BKo6NkKbAY5Z7d6frCpR7mkV0QY3HDaQ2yL37zEEop7Jdbyarf8WPCcKH/vCsL3SYpDzwGbm8gbHmyOceDaWUXis0Mu5gyF88P7vT65dQ6xphYvTn4XCjp+MBLxMDe86sPxD+3xlko0ZD6h6ebjXJUbGea7MSgEWUFWL3kLBRbTWGB+8FOpgON42FPwsDKFMoDT4BTzAF++ab5aKgsxKYcTzGRvgyFVqO87IuXC+70BuQvEiD4fRO5DPIRdxrVkqeMHQajgeG1Dc0xYxvtvW5sa+7JqgsFEEawAekX9Gxv7sGo8oKUXAMGA8OIsgK09+rPxeZw+rDuQHKVs6mgZi/wSCTDaftR7XRGaF4vZaFExekLwG4xYt7YYThnWjV2t/VmcVzSQFwKS9MuKfA41ZhSEYpEkdU8KIOYUjpgKpayzWzE5SfXoc/jx9r90ZXD45/sAwDUlWe3i6OUkfLGxiMJjozOpsPdOLGuLOXX6WX4ciQ/fmUTLntsNY73q+v+0yqICUBeId/9zo4ER2YOBTFj4PIG5Dtpic0Mf5DDm8NMFKWroFCUa+mW2FOwBQs8pNSKrSb0efT3A80UqRIzVVfHfy0cBwC4481teHfL0QHPd/Z5UGwzYcn5kzMXMgXqKuxYPL0WO1tSNxikWZvpKPCyArMcZ9ETX7YKgyfUdmFqFcQEEDZcRKteM7pPI2SMlTHGXmWM7WSMNTHGTlFLsGTY19GHkWVC+blkyaoRlPD4A2FdApN/XchVIAW64uULH3W4wsrLi20mXVrgvkBQzvhxeQPyHMpkSccHDoQm9Ozv7McPX9g44PnjTh8aKgs1XaLG4pRxw3Cs34sjKdYfHO4Sjh83vCjBkQMps5uxs7U35fdfa6SBGB/tbFf1vO1inYcWFnhDZaG8/cMXtRnUIaHnIOb/Anifcz4ZwEwATQmOV41gkGNHSw9mjioDEFoS9augwC96eCWm3vV+yq9zeQMwiI2VCq0mnDV5OFpizHc8ctyJg8fC+1uUFJhVX4aqwY3PNmLqXR8AAGb/9kN882+rU3p9vLmV8bCYDHGn5XQ7vSizJx76oAWzRpcBADYcSq3wSspcKU9D7uHFwg1Nb10rpf/Tc6sPqlql+tTK/QC0scCNBobvniY0TtPKaNJ1KT1jrBTAGQCeAgDOuZdz3q2SXAnxBoLwBbj8A5YsWZcKifm72vqQTr2EVBUoWYQ1pTY55zcSqYp08fRaed+kmmIcdbjRpTMl/ukuoX3qK+sOw+ULYGuzA09+ti9p94HbF4DJwMIGNiTLuKqQpfTYJ3txrM8DlzeAX76xFZuPOMImymeTSdXFKDAb8fNXt6T0eUk+7HTk/t4ZYzGi1Ia1Sbba1Zo97X14Zd1hHDjmlBuxbVIxzdHAgBPrymDRqFXCz86bhCm1JZp0slSiVx94A4AOAE8zxjYyxp5kjBVGHsQYu4kx1sgYa+zoUKePMhByV0iTzpPJu06GTJrnR6a0ja6wo6vfG/UHLgU8Rw8LBeCmim4XvQ6z/flrW+Tte5Y2obk7OfdBa48b5YXpWcrKpe797+3EL17bgqc/3y8PHlYOkc4mJqMB/mAQHn8Qv303+UCYNCRZymRJhdICM248fSyau11o10HB11f/9In8nbjt/CkA1PvuSn2CThk3LPHBaWI1GXH2lOFo73VrUsWt9zRCE4DZAP7GOZ8FoB/AksiDOOePc87ncM7nVFVVRT6dNlIVnNQtTnKhZKLAP9/Tiem//o/8ONUP1eUNhmWVSIGqaMUXnijViSNEf76yGvPzPZ2oX7IUM+/+j+4ms7TGcA9FsuWIAzNGlqZ1jakjwl+3rKk9LM4hvWe54ATx/5RK6uffPt4LILy6MhWk71SueoRvOtyNRQ9+PMBVcvrESlUHMfd5/GKfIG1XWNWlNgQ5NC6g02ca4REARzjna8XHr0JQ6FlByjaRllcFsgJP34Wyam9n2ONUc7LdYitZCWlQraSQ93b0yQE9ObCnGHIgFXYo/eZS21GHy5cTy1zpJjltfGWYy2fFl8kFrdp73GkPbL7i5DpcM3902L63NgkZKRfNHIGr542O9rKs8OhVwtfdmuQSn3OOPo8f46oKYUhhXqeSaSNKYDYybDzUjWN9nqRvomrx8PLd2NfZjz988KW8r9BiRInNjNpSG452u1QZDSi5mtJZqaSC1M5gvQZN5LKR0py2AuectwI4zBibJO46C4D2SZUiPn+4Ai9MIu86EZGujlSDGx5fIEwhS1ZWr9sPh9OHs/74Ce56axsAZWpd6CMosppQbDWF/SiDii+BL5D9HHcpAPmL8ybjH9+dh18uniI/9+iKvXIKWSwkpZVuIMpsNOCeS6bDajLIvspDXU7YLUY8fOWsrFdhKhlRVoBTxw3D4a7khi30uPzw+IO4cm76Nx2b2YjJNSXYftSBU+77CPPvW572udJBcln9U3RhAcD935gBQHg/3t/eivP/9zNsy7BiVPotput6SxbJaPrBC9ploujVBw4A/wPgn4yxLQBOBPC7jCVKEskCl/I5panemeTJRmaMpNqb2+ULhKUFFlpMYEzwq0s5sjtFhRerwVNZoRndTi+2H3Xgxy9vwq62UPOiw11O3P3O9qx0UJPoFfPSi8Sb0ciyAjTe8VX5+e8+ty5u6qbLF0CQh16fLuvvPBubfnU2vjJJcMNFTnHPFdNHlmJHSw+WvLYFvgQut5ae1EroY1FXUYCj3S75N3DrK5uyUsH7+oYj+HR3eBzrgW/MwEUzRwAIuZQAJH1Ti0WqDb/SRXl+NQOwgP594OCcbxL92zM455dwzrPWzFrygUtWmdQ7I5M0pkwt8MjOeAYDQ7HVhB63H/vFXs6SKyFWbnS53YLWHjf+6x8b8MbG5rDnfv/+Tjy96oAcwMsG0pSgYoUFXVlkxW8ungZAyGteuacz6muVr880FazIKvRYlyzAkToZP7d4Ri1Gldvx0rrD2JugG6ZkINRmqMBrSgrCjI3XNzRj2Y42+ALBtOoXkuWJz/ajz+PHz86dhK/NHIE5Y8qxSDH4Weley3RosOR2rC7VNkhdobDwL3l0lbonl0rp1T1rGHlbiemJcKHYzEYUmI0ZlRpHjjRLXYEHBgzuLbaZ0eP24Zj4hZaCnFIJb2Qfj6PdbqzZ14VDCgtG6pwmBVruWZq1dPuY1XDXnVKP7XefCwD43nONMTMxehVDLtSgUswLv/XsSQmOzA4zRpXh3ktOAACc99BnmHj7ezGPbemWFHhmN5/aUtuAYP0tL2/ChNvfw+Q738fqvccyOn8s2nrcuGjmCPzgK+Pxlytn4dX/OjUsC0hpgd/11nbsy6C9c4vDDZOBobJQWwXOGMPtF4TcgvVLlmpyDa3IWwXujVDggJBbm8m8wl6PH3PrK/DYNScJj9NwodgskQpcqK7sFK17jz8YZulHKvzOKJaL3WLEpOrisH1aWlpKpJtYNAVcaDVhxijhRysVXUSy46gQ0FKrGOPmsybgievmaJpelirKYiJvIBhz6EKrwwUDQ9zipGSYVBP6LhijBEOf+Tz6Z5EJbl8AXf1e1CZwaaz46Zn41pxRAIBHVuxJ25XS5nCjusSWdrA3Fb69oD7ssVrBR92X0ucSyd+oTMKvKraiOYPRav0eP2aMKsXJ9cLEjtSDmMEBCrnEZkavwgJ3ef3YdDjkaYr8gt4oVocp+c6ChrClKpC9wQ/SdSpiBJPu/prgSomVj/3WJsENNGaYOg2nbGYjzp5arcq51KIsItUt2k0YEErDKwqtYX040mGmoo/Kd09rwLdPrQ97/oPtbar3TJG+B4n89w2Vhfj9N2ag3G7G6xuace5Dn6Z1vRaHO+NYQbKYjQZcf8oY+bHa8QRyoUQhmgU+Y1QZthzpTmtQaSDI4fQGUGQzodgm/CBTtcDdvgAKLOFvaUmBCT0uvzwFe1lTO254phEGBtkFoeTOC6diz73nh+27ZNZIOevm/BNqAAAvfnE4JdnSZcsRB+wWI8ZWRe/dMWt0ORZOrMKIsug/tqaWXpwztRrjhxdHfX4wEFkWP+93y/HaeqFTYVNLDy56eCXm3LMML61T5zMrLTDjDjEbiAP49dem4cD9i7Hzt+fJx1z1xBo8qEj1y5RWR/LuH8YYRg8TCrCc3gAueXRVyr/J1h635gFMJdMU9QZqdXzUdSl9ronMAwcEK6/fG0BfGlkaUt/uIqsJFpMBVpMhZQvcFcMH3uvx4VhEgLSmxBazSY/JaMC9Xz8B3zxpFJ7+9skAgP86cxxuPK0B9359OgBg/cHslFMfOe7C6Ap71KW6RFmMNqfBIEeLwxW25B+MFFiMuGFBg1xODgA/+ddmtPe68cyqA9ja7JCt8ljWeaqcO60GX581Et88aZS8TxkQ3360B4+s2KPa1HU5KyTJoOIvzpuEyiLhxrbpcLdcgZos3U5vzFWfFpw1ZbgcqFe7Za+e0whzhtSRTelCkadspJELHpktIQQfk1fgnPOoE9JlH3jEDzdRf4er543Bg5fNxFcmC66TYUVW3HnhVFQUWvCdBfXY2uzISqGAw+VN2HipotCCzj7PAGXR6/YjyJGzhlPZ5K6LpmLlLxbhipPr5H1z712Olxu1WSnVVdjx58tPxMTq+DfHRJkxySJnhSRpFZ86rhKNd5wtP5Y6CyaDXDugUuA7GYYVWfHMDXMBQLWhGWSBx8HhDM2flJBGL6Xjw5KzLcQvTYnNlJILxRfgCHKE5YEDggLvdvrQ6/aH3WykPPB0GF1hh9sXxPImddt3RuO404fywvg511NqS+D0BrCvM9Q6t8ftw/3vC9kyesnZzga3L56CsVXhLYF+tGh81q7/2DXhxdCPiUMvMuW40wezkaUcjH74ylkAgH9vjd0XPxKPX2hUp0UXwnhMqikGY+lPWooF02kpfU45Hk2Byw2t0lfghbIFnlpv7hZxzmHksk9psSyaHApEZtJxUPINfve5xrTPkSzJtGydLLpIlGljf3j/S9lPn+gGMJgotpnx9RNHyo8nDC/C/ztznNx+9h4x5VArImMVy3e2qbJS63b6UGa3pJwSd8YEofBK6miZDFqOUotHkdWESdXFqhX06L6QJ5d0O70osZnCWpTardIg4fRdKMUKF0oqFrh0154e0bRJ6lcOCA1/JEozaNKj9J2f8cAKTLvrfby6Pr3xXvEIBIWOcIkaCkkuFqXvUNmpMJ3e1/mMdNM+/4QafHjrQtgtJrzx3wtw4P7FuGb+mASvzgypqducMeW479Lp6Hb6BvSdT4dupzetlVSp3YzvLxyLppbkB1E8tGw3gOwrcEBoFvbJrg4s+uPHcqJEppAPPArC0j5cMUgfeDoWeOT8vVQtcMmijqyykybzAOHK/eWb5qcso8Rp40M3gkNdTvR7Aym1NE2WPe198Ac5xsXIQJGQPoeXGw/L/kPp5vfTcyYOuKkNdqSGZjkYFIRR5Xbcf+l0PHHdHIwVW/F+koL1GwvBAk/P6JhVVwZvIIh7lzbhs93xZWnvdeP5NQcBhIr1som0UtrX0Y/nVh/AwWP92Nnak3JbDUDnzaxyTbfLN8AikIKY6fjAeyOWbeWFFnT0eVIaWgAMLI23mAyoLLJiXFUhSmwheWOl5SWDwcAwt6EibJ9alY5KNorTZmaNLo97nDT/c/3B4zjlvo8ACHm8X581Ej9cNCGtQQ75jHTTPndaTU6uf8Xc0SgvtMh51L96e3vGyqS1x512VsjsMcL357nVB3HtU19gZ2vsboV3vrlN3h4XEUvIBnMbQgVi9yxtwuX/twbnPfQZbkrDXUkulDj0un1y/xMJKYiZTk/wvoiKw+kjS1NafsZqTgUAK3/xFSz90emqRtU7e1PLakmHjYe6UWY3oz5BEY7SLxoIcuzr6ENbT/YKMfTGxOpibP31ObhY4QvPBcr4y0/+tTnt8zicPuzv7McMhTswFYYX28JSLOO1blVmq8wbm/1q24bKQqy57Sz5sZQ+uSaDKUjkQolCj8s3wOoMtZTN3IUiB+Y6k0vDcvkCsBgNUfOlbWYjbGajqj69B781E/MUVviYNPttx2PT4W6cWFeWVODq+wvHytt3v7MDvgBHw7DsW1B6odiW+8CtzWzEgvGCEnx9Q3PaU2ekvjzj0xjELPHU9SfjkhNHwGhg2N0W+zclZaJK9Q+5oKbUhtvOn5zxeSiNMA69bj+KrREuFHMGFrjHD6vJIJc5SxVnsYYSR+L2hQ9ziIbU+H9idfo/BInZo8vx8FWz5McrvuzAkeOZB6skXN4AdrX3hgVh43Hb+VNw4P7FGFtVKPtclSXfRG547oZ58na6U2e6XcLrMimsmVRTjIeumIVAkOOZzw/EdKM4nF5cNHOEXP+QK76/cBxuOmNs2L54bZPjQWmEUeh1+1FSEG7RmoxCBWU6Fnjk0AGp4dBfV+xNynLx+ANh49SiwRjDWz9YgJdvOiVl+aIxvNgWFgzd29Ef5+jUOOpwgXOgvjI1y/4vV4RuKmr1PyHSx2hguPmsCQCAR1bsxrIdbSmf47g8HUe9VcVPXtmMp1bul2NHvW4ffv/+Thw45szZoOpIbj17In7/jeny6vIfYnA1eSiIGRVfIAiXLxB1mVpkNcll8akQWfkluUKau114fUNzrJfJuLwDqzCjMbOuTNUpI/PGDsNJYpCoq1+dMm1A6AYHJF95J6FsKZrLaTlEiAvEPt3/WHMI332uMeVOllKPfTUqaq8V0yi3H+3Bb9/dgc92C73kf/X2dnle6FRF5lYusZmNuPzk0bh0ltCu4N5/NyWdCqmEfOARxGtxarca0y6lj+WjTuYDiBzmkE2ev1EoAX74oz2qnTNbE1EI7Yn0Xa870IVrnlyb9Er1eL9ogatgGf/2khPwwDdnyI/f3NiM7z67Tm473FBZiCsyGDmnBZNqivGI6K5sakl+Li35wGMg5RiXRLHACy3pW+CRzaWkobWx+jsrcfuTs8C1wG4xoarYOiAzJRNaU+x9oeTpb5+Mx689STVZiMwwGhjuv3S6/Pjap77Ayj2d+DzJwQ+72nsxsqwg4za4EudOrcGVc4WeMUu3tmBZU7s8avDJ6+eocg21kfrxH0qjvzlZ4BHEs8BLbOa0ytT7vX45n1lCqpxMJq/c4fLJpfy54Nun1qPH7Vdt0EObw41iqylmx8R4fGXycJyToxxoIjpXzB2NJ64LV46S1ZuI7c0OeXCHGpTazbjv0hkD9p8ztTph0ViuGF4sGDLtKfThpzzwGEhVUdF84FNHlGBbc0/KKVM+Px+QS10YozDoudUHsKc9tJTyB4JoaukJq7rMNpKrY1lT6kGqaLT1eFA9RPO4BytKF2FFoQV/XrYLL6+LP191W7MDB445MVqDNNVIUulYmG1KCkwwGxnuWdqEu9/ZLg9oSQbKQomgxxXbAp9aWwKXL5B0+p+ELxAcsEQ0GhjsFmPYrMyOXg/uems7vvfcenlfi8MNty+ISTW5sx6karf3t7Wqcr5sN9QntEf6vVhMBlw0Qwhs/uK1rXFfc+HDK8NeqyaSm01yMdx10VTVr6EWjDG5MdfTqw7gjx/uSvgayfWq5VS4vFTg8XzgUvXf6Q+sSGmslC84UIEDgtVyqMuJcb/8N5Y3teGepULPkf2d/Zh77zIc6/Pg9AdWAMht06aGykIsnl6rWie1th53Wv5vQr9IMZozJlTiJ+eGhkLXL1mKR1fED4BrEd85Z1oNDty/GPvvW4wD9y/G7AQtG3KN0j+fjE6Wxj6qFTuIRl4qcEkxR+vopyzfllq8JoPPz2E2DvxYxlUV4T872hAIctz4bCOWbgn1NW7v9eCVxlAXwFwPLjixrgxHjrvQkeFSNBDkaO/1JD19hcgPxg8vwp++NRMPXTELJTazXG0MAH/44MsB3fd2twluwrGVhbjulPpsiqpLGGN45jtChejKPZ0J403+gGCBmzVocyGR8ZkZY0bG2EbG2LtqCJQMx51eGA0MJVGWdSPLQj0XpDcwGfzBYNSmSzPqSiOOCz/nn5eFllK5LkCQOqllaoUfd3oRCHI5cEMMHi6dPUr2hd95YbjL4r1t4UMXnlopTLf/47dmatJrJx85c9JwVBZZcfCYE79+e3vcY72yBa5vH/jNAJpUOE/SdDuFToTRenQUWk3469VC+l8qGRm+AA+bmCOhvCFEQ2m1ZNLjWw1OGFkKk4GFTb1PB2mFo0beL6FfFoyvRNNvzkPTb4RhyDe/tAm/eHULDh7rx60vb0Jbjxu1pbaE3SiHGpLh+NK6w3Ebc0kulGh6RS0yOjNjbBSAxQCeVEec2Hj8ATmzpNvpi6sspTL4VMaW+QJBmGI0okqG608Zg8rC3LocbGYjJtcW49NdnTGPUb6PsehxxY4xEIOLAosRBRYjzpwkBOhebjyMhX/4GK9vbMaKLztQV07tECJ55KrZcqX206v2y0Zc5ByCfPCBPwTg5wA077w+6Y735RFiXf3xB+1Kk+FdKVjg/gCP6kIZJVrg3zu9IeZrx1UV4u6LT4BBy3BzkkyrLcXWZgdWxyjSmHTH+7j2qS/inkMa5hzZa4YYvCyJ0X2PVmEDmTqiBHt/dwFm1pXh3S0tmHjHe9h0uBtT7/ogbHiGT3ThmvToQmGMXQignXO+PsFxNzHGGhljjR0d6U0GkdJxPv6yAy+vO4T9nf2oLolt7RZYhP9Wsi4Uzjm8gSAsUd7oU8dX4pXvn4Il50+R9/02Yq6hnvpe33CacKN5fs0BbGsWxrwt3dKCg8f65WY8q/fFr8AjC3zoMbmmZEChD0AKPB6Xz6mTtz/YLqTvfrE/9NuSLHOzQTsLPBMTawGArzHGLgBgA1DCGPsH5/wa5UGc88cBPA4Ac+bMSas46ZiiSZOUtxovxc0qWuDJKnDpBhFrcow0/eZCMXd2fkMF7BYjyu0WNHe7UFMS30+eTSYML4LJwPDvra3499ZWrL/jq/jBCxsGHOdw+cIGQiuRCqUiB2YQg5uzp1bL25NrirGnvQ8n1pH/OxYn14fem8Niib1BEZfzBwW3rJYr87RvDZzz2zjnozjn9QCuAPBRpPJWi/aegWlx8YpMJL91sgpcWuok8lU9ctVsPHLVbEyoLsaO35yHH589EcDAOZi5xGBgYYr5qifWRj1u5t3/kX10kUiFUmSBD13ev+UM7PndBbhqnr4aS+kJZaXyu2J6sbKhnC/ANfV/A3mSBx6tIGdCnKEIBRZJgSfnmvcF00v3GSa2hdWTCwUQKtoWThSCUl+KubznTqvGzFGluOykUfJxb25sRltEb4fmbhfWH+yC2chy1l2RyB3P3zgXz94wN9di5AUlNjN+es7EAfs/2N6Kjl4PvP6gpimEQGYuFBnO+ccAPlbjXNHojTIROt7SzibmrCY7mcefpAUeyehhdjAmuC30xMUnjsTFJ47Ey+sOyS6nx645SU67/Nd6ofjoZ69uQUNlIVb89MzQax9Zic4+L4qtpqRGqRGDi9PFcnEiOX64aAI+292JtftDMzO///x6nDmpCiPLCjTPn88LE6vXHZ6es/wnC+OOdzIZDSi2muRRUImQXAmpRovHVRXh8yWLcjJ8NRm+eVIoyKJUxl/cHhraur8zNMWHcy6P3Uolg4cghjLP3jAXy25dGLZy+fjLDvxz7aG0x9glS17kiUV2AxxbmXhYbqndjG5xFFQwyMGBqAOHAUW+ZhrRYml2ph4xGhh+fdFUOFzh719khaU/IFSh9iiOi6w4JQgiOjazEeOHF2F4iRWzRpdh46HurF07LyxwZTfAGxY0JLW0L7dbcFwcBfX1v67CVx78OOaxchDTNPhcBt9e0ICbvzphwH7l/E5peMPFj66U99VV6PfGRBB6pMRmxhv/vQCXzh6ZtWvmjQVuMRnw4GUzcV6SgwLK7GZ8/GUHgkGOzUeEfGh/IAh/kOOL/V04Y2LI1yeNlrLncCBDtnnhe/Pw5sZmPLv6IB7/dB9GV9hx4JgTU2tLcPnJdZhTT+ljBJEOv/7aNNSV2+HxB3HutOrEL8iAvNBYvR4/SmxmfG3miKRfI/UfWHcgFFzo9wRw77934JXGI1h260J5VqDkoilOY/pMvjJrdDmmjijBu1ta8NxqocDHwIAHvjkjbDAxQRCpUWIzyynGWpMXGuvOxVPx46+m9obccFoDlu9sx1axGhEAej0+bD4sPFb61SUXTZEGTev1jNVkxKoli+QViMVkiDrliCAIfZIXGktquJMKUq+UNftCFvixPi/cfiG7okeRWy5b4ENQednMxpwNYyYIIjPyIoiZDlIPB+WMyIsfXSVXZ0oBTiCUZ140hFwoBEHkP4NWgcfqVihVZ0ophoDgYwe0mftHEAShFYNWgStdLsrRUVJZ/iGx+QwgKHOLyQArTR0hCCKPGBIa6/1bzsBfrpwVtm/rkVBws9UhTB6h0nGCIPKJQe0zeOeHp8lFKtXFof7hp0+oxLoDXTjc5URdhR2tDprAThBE/jGoLfDpo0rlHsdjhgnl9/MaKjCrrgxuXxCnP7ACANDS49JVS1iCIIhkGNQWuJKaUhtWLVmEcrsZb248Ku/nnKPN4YnbX5wgCEKPDBkFDoQmzNdXhga1tvV44A0EddfTmyAIIhGD2oUSixmjyuTt+fctB6CvqToEQRDJMCQVeJHVhGvnjwnbN6W2JEfSEARBpMeQVOAABsz6G11hj3EkQRCEPhmyCnxKbQn+evVsAMDYqkLKAScIIu8YUkHMSBaMr8RlJ43C12dlrwE7QRCEWgxpBV5aYMYfLpuZazEIgiDSYsi6UAiCIPIdUuAEQRB5CilwgiCIPCVtBc4Yq2OMrWCM7WCMbWeM3aymYARBEER8Mgli+gH8hHO+gTFWDGA9Y+xDzvkOlWQjCIIg4pC2Bc45b+GcbxC3ewE0AaB8PIIgiCyhig+cMVYPYBaAtVGeu4kx1sgYa+zo6FDjcgRBEARUUOCMsSIArwG4hXPeE/k85/xxzvkczvmcqqqqTC9HEARBiDDOefovZswM4F0AH3DO/5TE8R0ADqZ9wcRUAujU8PxqkA8yAiSn2pCc6jLU5BzDOR9gAaetwJnQPORZAF2c81syk00dGGONnPM5uZYjHvkgI0Byqg3JqS4kp0AmLpQFAK4FsIgxtkn8d4FKchEEQRAJSDuNkHO+EgC18CMIgsgRg60S8/FcC5AE+SAjQHKqDcmpLiQnMgxiEgRBELljsFngBEEQQwZS4ARBEHmKrhU4Y+zvjLF2xtg2xb6ZjLHVjLGtjLF3GGMl4v56xphLkRHzmOI1J4nH72GM/YWpPD8tFTnF52aIz20Xn7fpTU7G2NWK93ITYyzIGDtRh3KaGWPPivubGGO3KV5zHmPsS1HOJWrKmIacFsbY0+L+zYyxMxWv0ez9jNV0jjFWwRj7kDG2W/xbLu5nogx7GGNbGGOzFee6Xjx+N2PserVkTFPOyeL77GGM/TTiXJp97mnIebX4Pm5ljH3OGJupOFfmcnLOdfsPwBkAZgPYpti3DsBCcfsGAL8Vt+uVx0Wc5wsA8yFkzbwH4PwcymkCsAXATPHxMABGvckZ8brpAPbq9P28CsBL4rYdwAHxu2AEsBfAWAAWAJsBTM2hnD8A8LS4PRzAegAGrd9PALUAZovbxQB2AZgK4AEAS8T9SwD8Xty+QJSBiTKtFfdXANgn/i0Xt8tzKOdwACcDuBfATxXn0fRzT0POU6X3CcD5ivdTFTlV+zJr9Q8RihmAA6Hgax2AHdGOi3jDdyoeXwng/3Io5wUA/qF3OSNe8zsA9+pRTvH670C4MQ4Tf1AVAE6BUCEsvf42ALflUM5HAVyrOG45gLnZej8V538LwNkAvgRQq/hMvxS3/w/AlYrjvxSfD5Mr8rhsy6k47tcIV+BZ+dxTlVPcXw6gWU05de1CicF2ABeL25dB+JFINDDGNjLGPmGMnS7uGwngiOKYI8hO18RYck4EwBljHzDGNjDGfq5TOZVcDuBFcVtvcr4KoB9AC4BDAB7knHeJMh3WkZybAXyNMWZijDUAOEl8LmvvJwtvOlfNOW8Rn2oFUC1ux3rfsvZ+JilnLPQs540QVjeqyZmPCvwGAP/NGFsPYQnjFfe3ABjNOZ8F4FYALzCF3zkHxJLTBOA0AFeLf7/OGDsrNyICiC0nAIAxNg+Ak3O+LdqLs0gsOecCCAAYAaABwE8YY2NzIyKA2HL+HcKPtBHAQwA+hyB3VmBxms5xwQTURT7xYJWTMfYVCAr8F2rKkXdT6TnnOwGcAwCMsYkAFov7PQA84vZ6xtheCNZuM4BRilOMEvflRE4IP+JPOeed4nP/huBH/YfO5JS4AiHrG9Df+3kVgPc55z4A7YyxVQDmQLBulKuJnMrJOfcD+LF0HGPscwjunuPQ+P1kQtO51wD8k3P+uri7jTFWyzlvYYzVAmgX9zcj+vvWDODMiP0f51DOWMSSP2dyMsZmAHgSQmzjmJpy5p0FzhgbLv41ALgDwGPi4yrGmFHcHgtgAoB94rKmhzE2X4zuXwfBb5UTOQF8AGA6Y8zOGDMBWAjBT6o3OaV93wLwkrRPh3IeArBIfK4QQuBtJ4Rg4gTGWANjzALhRvR2ruQUP+9CcftsAH7Oueafu3jOpwA08fCOoW8DkDJJrldc820A1zGB+QAcoowfADiHMVYuZlicI+7LlZyx0PRzT1VOxthoAK9DiH/sUl1OrZz7KgUIXoTgGvFBsFxvBHAzBMtlF4D7EQoYfQOC/3ETgA0ALlKcZw6AbRCivo9Ir8mFnOLx14iybgPwgI7lPBPAmijn0Y2cAIoA/Et8P3cA+JniPBeIx+8FcHuOv5/1EAJdTQCWQWgPqvn7CcFNxyFkPm0S/10AIeC7HMBuUZ4K8XgGIeC6F8BWAHMU57oBwB7x33dUfi9TlbNGfM97AHSL2yVaf+5pyPkkhFWWdGyjmt9PKqUnCILIU/LOhUIQBEEIkAInCILIU0iBEwRB5CmkwAmCIPIUUuAEQRB5CilwgiCIPIUUOEEQRJ7y/wHrfNfeuv97IwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = unrate['DATE']\n",
    "y = unrate['UNRATE']\n",
    "plt.plot(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1b4c5bc5ac8>]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "first_twelve = unrate[0:12]\n",
    "plt.plot(first_twelve['DATE'], first_twelve['UNRATE'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "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": [
    "plt.plot(first_twelve['DATE'], first_twelve['UNRATE'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To change the labels: see documentation: https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.xticks\n",
    "you can change xticks and yticks "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "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": [
    "xfirst_twelve = unrate[0:12]\n",
    "plt.plot(first_twelve['DATE'], first_twelve['UNRATE'])\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here's an overview of the pyplot functions we need to tweak the axis labels and the plot title:\n",
    "\n",
    "    xlabel(): accepts a string value, which gets set as the x-axis label.\n",
    "    ylabel(): accepts a string value, which is set as the y-axis label.\n",
    "    title(): accepts a string value, which is set as the plot title."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "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": [
    "first_twelve = unrate[0:12]\n",
    "plt.plot(first_twelve['DATE'], first_twelve['UNRATE'])\n",
    "plt.xticks(rotation=90)\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Unemployment Rate')\n",
    "plt.title('Monthly Unemployment Trends, 1948')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Multiple Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#creates 2 rows, 2 columns and the last number is the index or axes (the subplot number such as 1st, 2nd, 3rd.. etc.)\n",
    "fig = plt.figure()\n",
    "ax1 = fig.add_subplot(2,1,1)\n",
    "ax2 = fig.add_subplot(2,1,2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#so now 2 rows, 2 columns and 4 subplots\n",
    "fig = plt.figure()\n",
    "ax1 = fig.add_subplot(2,2,1)\n",
    "ax2 = fig.add_subplot(2,2,2)\n",
    "ax3 = fig.add_subplot(2,2,3)\n",
    "ax4 = fig.add_subplot(2,2,4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#leave one blaknk without axes \n",
    "fig = plt.figure()\n",
    "ax1 = fig.add_subplot(2,2,1)\n",
    "ax2 = fig.add_subplot(2,2,2)\n",
    "ax1 = fig.add_subplot(2,2,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax1 = fig.add_subplot(2,1,1)\n",
    "ax2 = fig.add_subplot(2,1,2)\n",
    "\n",
    "ax1.plot(unrate[0:12]['DATE'],unrate[0:12]['UNRATE'])\n",
    "ax2.plot(unrate[12:24]['DATE'],unrate[12:24]['UNRATE'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,5))\n",
    "ax1 = fig.add_subplot(2,1,1)\n",
    "ax2 = fig.add_subplot(2,1,2)\n",
    "ax1.plot(unrate[0:12]['DATE'], unrate[0:12]['UNRATE'])\n",
    "ax1.set_title('Monthly Unemployment Rate, 1948')\n",
    "ax2.plot(unrate[12:24]['DATE'], unrate[12:24]['UNRATE'])\n",
    "ax2.set_title('Monthly Unemployment Rate, 1949')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#now create 5 rows on column for 5 years of monthly unemployment data\n",
    "fig = plt.figure(figsize=(12,12))\n",
    "\n",
    "for i in range(5):\n",
    "    ax = fig.add_subplot(5,1,i+1)\n",
    "    start_index = i*12\n",
    "    end_index = (i+1)*12\n",
    "    date_range = unrate[start_index:end_index]\n",
    "    ax.plot(date_range['DATE'],date_range['UNRATE'])\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>You can add multiple plots to a subplot or multiple plots to the base subplot which is the initialized subplot when creating the figure class, see below:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> We will also use the datetime module, to extract the month values from the DATE column and assign them to a new column, we can use the pandas.Series.dt accessor:\n",
    "    unrate['MONTH'] = unrate['DATE'].dt.month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "unrate['MONTH'] = unrate['DATE'].dt.month\n",
    "fig = plt.figure(figsize=(6,3))\n",
    "plt.plot(unrate[0:12]['MONTH'],unrate[0:12]['UNRATE'], c='red')\n",
    "plt.plot(unrate[12:24]['MONTH'], unrate[12:24]['UNRATE'], c='blue')\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#use a loop to plot multiple plots on a base subplot with different colors:\n",
    "fig = plt.figure(figsize=(10,6))\n",
    "colors = ['red','blue','green','orange','black']\n",
    "for i in range(5):\n",
    "    start_index = i*12\n",
    "    end_index = (i+1)*12\n",
    "    date_range = unrate[start_index:end_index]\n",
    "    plt.plot(date_range['MONTH'],date_range[\"UNRATE\"],c=colors[i])\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>Can see that we don't know which are which colors so add legend"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4> Add label to each line by plt.plot(unrate[0:12]['MONTH'], unrate[0:12]['VALUE'], c='red', label='1948')\n",
    "plt.plot(unrate[12:24]['MONTH'], unrate[12:24]['VALUE'], c='blue', label='1949')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#add legend and label\n",
    "fig = plt.figure(figsize=(10,6))\n",
    "colors = ['red', 'blue', 'green', 'orange', 'black']\n",
    "\n",
    "for i in range(5):\n",
    "    start_index = i*12\n",
    "    end_index = (i+1)*12\n",
    "    subset = unrate[start_index:end_index]\n",
    "    label = 1948 + i\n",
    "    plt.plot(subset['MONTH'], subset['UNRATE'], c=colors[i], label=label)\n",
    "\n",
    "plt.legend(loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>Add titles to the axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(10,6))\n",
    "colors = ['red', 'blue', 'green', 'orange', 'black']\n",
    "for i in range(5):\n",
    "    start_index = i*12\n",
    "    end_index = (i+1)*12\n",
    "    subset = unrate[start_index:end_index]\n",
    "    label = str(1948 + i)\n",
    "    plt.plot(subset['MONTH'], subset['UNRATE'], c=colors[i], label=label)\n",
    "    \n",
    "plt.title(\"Monthly Unemployment Trends, 1948-1952\")\n",
    "plt.xlabel(\"Month, Integer\")\n",
    "plt.ylabel(\"Unemployment Rate, Percent\")\n",
    "plt.legend(loc='upper left')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Bar plots and scatter plots "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import arange\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "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>FILM</th>\n",
       "      <th>RottenTomatoes</th>\n",
       "      <th>RottenTomatoes_User</th>\n",
       "      <th>Metacritic</th>\n",
       "      <th>Metacritic_User</th>\n",
       "      <th>IMDB</th>\n",
       "      <th>Fandango_Stars</th>\n",
       "      <th>Fandango_Ratingvalue</th>\n",
       "      <th>RT_norm</th>\n",
       "      <th>RT_user_norm</th>\n",
       "      <th>...</th>\n",
       "      <th>IMDB_norm</th>\n",
       "      <th>RT_norm_round</th>\n",
       "      <th>RT_user_norm_round</th>\n",
       "      <th>Metacritic_norm_round</th>\n",
       "      <th>Metacritic_user_norm_round</th>\n",
       "      <th>IMDB_norm_round</th>\n",
       "      <th>Metacritic_user_vote_count</th>\n",
       "      <th>IMDB_user_vote_count</th>\n",
       "      <th>Fandango_votes</th>\n",
       "      <th>Fandango_Difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avengers: Age of Ultron (2015)</td>\n",
       "      <td>74</td>\n",
       "      <td>86</td>\n",
       "      <td>66</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.70</td>\n",
       "      <td>4.3</td>\n",
       "      <td>...</td>\n",
       "      <td>3.90</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1330</td>\n",
       "      <td>271107</td>\n",
       "      <td>14846</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cinderella (2015)</td>\n",
       "      <td>85</td>\n",
       "      <td>80</td>\n",
       "      <td>67</td>\n",
       "      <td>7.5</td>\n",
       "      <td>7.1</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.25</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.55</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>249</td>\n",
       "      <td>65709</td>\n",
       "      <td>12640</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ant-Man (2015)</td>\n",
       "      <td>80</td>\n",
       "      <td>90</td>\n",
       "      <td>64</td>\n",
       "      <td>8.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.5</td>\n",
       "      <td>...</td>\n",
       "      <td>3.90</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>627</td>\n",
       "      <td>103660</td>\n",
       "      <td>12055</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             FILM  RottenTomatoes  RottenTomatoes_User  \\\n",
       "0  Avengers: Age of Ultron (2015)              74                   86   \n",
       "1               Cinderella (2015)              85                   80   \n",
       "2                  Ant-Man (2015)              80                   90   \n",
       "\n",
       "   Metacritic  Metacritic_User  IMDB  Fandango_Stars  Fandango_Ratingvalue  \\\n",
       "0          66              7.1   7.8             5.0                   4.5   \n",
       "1          67              7.5   7.1             5.0                   4.5   \n",
       "2          64              8.1   7.8             5.0                   4.5   \n",
       "\n",
       "   RT_norm  RT_user_norm  ...  IMDB_norm  RT_norm_round  RT_user_norm_round  \\\n",
       "0     3.70           4.3  ...       3.90            3.5                 4.5   \n",
       "1     4.25           4.0  ...       3.55            4.5                 4.0   \n",
       "2     4.00           4.5  ...       3.90            4.0                 4.5   \n",
       "\n",
       "   Metacritic_norm_round  Metacritic_user_norm_round  IMDB_norm_round  \\\n",
       "0                    3.5                         3.5              4.0   \n",
       "1                    3.5                         4.0              3.5   \n",
       "2                    3.0                         4.0              4.0   \n",
       "\n",
       "   Metacritic_user_vote_count  IMDB_user_vote_count  Fandango_votes  \\\n",
       "0                        1330                271107           14846   \n",
       "1                         249                 65709           12640   \n",
       "2                         627                103660           12055   \n",
       "\n",
       "   Fandango_Difference  \n",
       "0                  0.5  \n",
       "1                  0.5  \n",
       "2                  0.5  \n",
       "\n",
       "[3 rows x 22 columns]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reviews = pd.read_csv('fandango_score_comparison.csv')\n",
    "reviews.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "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>FILM</th>\n",
       "      <th>RT_user_norm</th>\n",
       "      <th>Metacritic_user_nom</th>\n",
       "      <th>IMDB_norm</th>\n",
       "      <th>Fandango_Ratingvalue</th>\n",
       "      <th>Fandango_Stars</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avengers: Age of Ultron (2015)</td>\n",
       "      <td>4.3</td>\n",
       "      <td>3.55</td>\n",
       "      <td>3.9</td>\n",
       "      <td>4.5</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             FILM  RT_user_norm  Metacritic_user_nom  \\\n",
       "0  Avengers: Age of Ultron (2015)           4.3                 3.55   \n",
       "\n",
       "   IMDB_norm  Fandango_Ratingvalue  Fandango_Stars  \n",
       "0        3.9                   4.5             5.0  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "norm_reviews = pd.DataFrame(reviews[['FILM','RT_user_norm','Metacritic_user_nom','IMDB_norm','Fandango_Ratingvalue','Fandango_Stars']])\n",
    "norm_reviews.iloc[[0],:]\n",
    "##print(norm_reviews[0:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 5 artists>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "#create a bars from a value of a row in reviews onto a figure and axes, declare fig and axes using shortcut with plt.subplots\n",
    "#axes.bar takes list like values for x (position of bars) and y(heights of the bars) and a scalar value for width\n",
    "#use numpy arange to create a list of values which become the bar positions and start the first bar with its center at 0.75, they will be evenly spaced\n",
    "num_cols = ['RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue', 'Fandango_Stars']\n",
    "\n",
    "bar_heights = norm_reviews[num_cols].iloc[0].values\n",
    "bar_positions = arange(5) + 0.75\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.bar(bar_positions,bar_heights, 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "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": [
    "#set the ticks on the x axis to their positions, set xticks' labels and rotate them 90 degrees, and set x-axis label. Set the title of the y-axes and axes\n",
    "num_cols = ['RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue', 'Fandango_Stars']\n",
    "bar_heights = norm_reviews[num_cols].iloc[0].values\n",
    "bar_positions = arange(5) + 0.75\n",
    "tick_positions = range(1,6)\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.bar(bar_positions,bar_heights, 0.5)\n",
    "ax.set_xticks(tick_positions)\n",
    "ax.set_xticklabels(num_cols, rotation=90)\n",
    "ax.set_xlabel(\"Rating Source\")\n",
    "\n",
    "ax.set_ylabel(\"Average Rating\")\n",
    "ax.set_title(\"Average User Rating For Avengers: Age of Ultron (2015)\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Horizontal bar plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "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": [
    "#same approach and methods just for axes.barh for horizontal bar plot\n",
    "num_cols = ['RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue', 'Fandango_Stars']\n",
    "\n",
    "bar_widths = norm_reviews[num_cols].iloc[0].values\n",
    "bar_positions = arange(5) + 0.75\n",
    "tick_positions = range(1,6)\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.barh(bar_positions,bar_widths,0.5)\n",
    "ax.set_yticks(tick_positions)\n",
    "ax.set_yticklabels(num_cols)\n",
    "ax.set_ylabel(\"Rating Source\")\n",
    "ax.set_xlabel(\"Average Rating\")\n",
    "ax.set_title(\"Average User Rating For Avengers: Age of Ultron (2015)\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Scatter Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "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": [
    "fig, ax = plt.subplots()\n",
    "ax.scatter(norm_reviews['Fandango_Ratingvalue'], norm_reviews['RT_user_norm'])\n",
    "ax.set_xlabel(\"Fandango\")\n",
    "ax.set_ylabel(\"Rotten Tomatoes\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Fandango')"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(5,10))\n",
    "ax1 = fig.add_subplot(2,1,1)\n",
    "ax2 = fig.add_subplot(2,1,2)\n",
    "reviews = pd.read_csv('fandango_score_comparison.csv')\n",
    "cols = ['FILM', 'RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue', 'Fandango_Stars']\n",
    "norm_reviews = reviews[cols]\n",
    "ax1.scatter(norm_reviews['Fandango_Ratingvalue'],norm_reviews['RT_user_norm'])\n",
    "ax1.set_xlabel(\"Fandango\")\n",
    "ax1.set_ylabel(\"Rotten Tomatoes\")\n",
    "\n",
    "ax2.scatter(norm_reviews['RT_user_norm'], norm_reviews['Fandango_Ratingvalue'])\n",
    "ax2.set_xlabel(\"Rotten Tomatoes\")\n",
    "ax2.set_ylabel(\"Fandango\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(5,10))\n",
    "ax1 = fig.add_subplot(3,1,1)\n",
    "ax2 = fig.add_subplot(3,1,2)\n",
    "ax3 = fig.add_subplot(3,1,3)\n",
    "\n",
    "ax1.scatter(norm_reviews[\"Fandango_Ratingvalue\"], norm_reviews[\"RT_user_norm\"])\n",
    "ax1.set_xlabel(\"Fandango\")\n",
    "ax1.set_ylabel(\"Rotten Tomatoes\")\n",
    "ax1.set_xlim(0,5)\n",
    "ax1.set_ylim(0,5)\n",
    "\n",
    "ax2.scatter(norm_reviews[\"Fandango_Ratingvalue\"], norm_reviews[\"Metacritic_user_nom\"])\n",
    "ax2.set_xlabel(\"Fandango\")\n",
    "ax2.set_ylabel(\"Metacritic\")\n",
    "ax2.set_xlim(0,5)\n",
    "ax2.set_ylim(0,5)\n",
    "\n",
    "ax3.scatter(norm_reviews[\"Fandango_Ratingvalue\"], norm_reviews['IMDB_norm'])\n",
    "ax3.set_xlabel(\"Fandango\")\n",
    "ax3.set_ylabel(\"IMDB\")\n",
    "ax3.set_xlim(0,5)\n",
    "ax3.set_ylim(0,5)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Histograms and Boxplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                             FILM  RT_user_norm  Metacritic_user_nom  \\\n",
      "0  Avengers: Age of Ultron (2015)           4.3                 3.55   \n",
      "1               Cinderella (2015)           4.0                 3.75   \n",
      "2                  Ant-Man (2015)           4.5                 4.05   \n",
      "3          Do You Believe? (2015)           4.2                 2.35   \n",
      "4   Hot Tub Time Machine 2 (2015)           1.4                 1.70   \n",
      "\n",
      "   IMDB_norm  Fandango_Ratingvalue  \n",
      "0       3.90                   4.5  \n",
      "1       3.55                   4.5  \n",
      "2       3.90                   4.5  \n",
      "3       2.70                   4.5  \n",
      "4       2.55                   3.0  \n"
     ]
    }
   ],
   "source": [
    "reviews = pd.read_csv('fandango_score_comparison.csv')\n",
    "cols = ['FILM', 'RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue']\n",
    "norm_reviews = reviews[cols]\n",
    "print(norm_reviews[:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.7     2\n",
      "2.8     2\n",
      "2.9     5\n",
      "3.0     4\n",
      "3.1     3\n",
      "3.2     5\n",
      "3.3     4\n",
      "3.4     9\n",
      "3.5     9\n",
      "3.6     8\n",
      "3.7     9\n",
      "3.8     5\n",
      "3.9    12\n",
      "4.0     7\n",
      "4.1    16\n",
      "4.2    12\n",
      "4.3    11\n",
      "4.4     7\n",
      "4.5     9\n",
      "4.6     4\n",
      "4.8     3\n",
      "Name: Fandango_Ratingvalue, dtype: int64\n",
      "2.00     1\n",
      "2.10     1\n",
      "2.15     1\n",
      "2.20     1\n",
      "2.30     2\n",
      "2.45     2\n",
      "2.50     1\n",
      "2.55     1\n",
      "2.60     2\n",
      "2.70     4\n",
      "2.75     5\n",
      "2.80     2\n",
      "2.85     1\n",
      "2.90     1\n",
      "2.95     3\n",
      "3.00     2\n",
      "3.05     4\n",
      "3.10     1\n",
      "3.15     9\n",
      "3.20     6\n",
      "3.25     4\n",
      "3.30     9\n",
      "3.35     7\n",
      "3.40     1\n",
      "3.45     7\n",
      "3.50     4\n",
      "3.55     7\n",
      "3.60    10\n",
      "3.65     5\n",
      "3.70     8\n",
      "3.75     6\n",
      "3.80     3\n",
      "3.85     4\n",
      "3.90     9\n",
      "3.95     2\n",
      "4.00     1\n",
      "4.05     1\n",
      "4.10     4\n",
      "4.15     1\n",
      "4.20     2\n",
      "4.30     1\n",
      "Name: IMDB_norm, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "fandango_distribution = norm_reviews['Fandango_Ratingvalue'].value_counts().sort_index()\n",
    "\n",
    "imdb_distribution = norm_reviews['IMDB_norm'].value_counts().sort_index()\n",
    "\n",
    "print(fandango_distribution)\n",
    "print(imdb_distribution)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "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": [
    "#simple frequency distribution of fandango ratings ranging from 0 to 5\n",
    "fig, ax = plt.subplots()\n",
    "ax.hist(norm_reviews['Fandango_Ratingvalue'], range=(0,5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can visually examine the proportional area that the bars in the 2.0 to 4.0 range take up and determine that more than 50% of the movies on Fandango fall in this range. We can increase the number of bins from 10 to 20 for improved resolution of the distribution. The length of each bin will be 0.25 (5 / 20) instead of 0.5 (5 / 10). The bins parameter for Axes.hist() is the 2nd positional parameter, but can also be specified as a named parameter:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " To ensure that the scales for the y-axis are the same for all histograms, let's set them manually using Axes.set_ylim()."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x1440 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#generate histograms with different number of bins and ranges \n",
    "fig = plt.figure(figsize=(5,20))\n",
    "ax1 = fig.add_subplot(4,1,1)\n",
    "ax2 = fig.add_subplot(4,1,2)\n",
    "ax3 = fig.add_subplot(4,1,3)\n",
    "ax4 = fig.add_subplot(4,1,4)\n",
    "\n",
    "ax1.hist(norm_reviews['Fandango_Ratingvalue'],bins=20,range=(0,5))\n",
    "ax2.hist(norm_reviews['RT_user_norm'],bins=20,range=(0,5))\n",
    "ax3.hist(norm_reviews['Metacritic_user_nom'],bins=20,range=(0,5))\n",
    "ax4.hist(norm_reviews['IMDB_norm'],bins=20,range=(0,5))\n",
    "\n",
    "ax1.set_ylim(0,50)\n",
    "ax2.set_ylim(0,50)\n",
    "ax3.set_ylim(0,50)\n",
    "ax4.set_ylim(0,50)\n",
    "\n",
    "ax1.set_title(\"Distribution of Fandango Ratings\")\n",
    "ax2.set_title(\"Distribution of Rotten Tomatoes Ratings\")\n",
    "ax3.set_title(\"Distribution of Metacritic Ratings\")\n",
    "ax4.set_title(\"Distribution of IMDB Ratings\")\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>Our first box plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 71,
     "metadata": {
      "image/png": {
       "height": 600,
       "width": 600
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "from IPython.core.display import HTML \n",
    "Image(filename = \"boxplot_intro.png\", width=600, height=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "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": [
    "fig, ax = plt.subplots()\n",
    "\n",
    "ax.boxplot(norm_reviews['RT_user_norm'])\n",
    "ax.set_ylim(0,5)\n",
    "ax.set_xticklabels(['Rotten Tomatoes'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ml_env",
   "language": "python",
   "name": "ml_env"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}