{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 数据集最新版本地址获取：http://www.fueleconomy.gov/feg/epadata/vehicles.csv.zip。\n",
    "* 各个变量的信息：http://www.fueleconomy.gov/feg/ws/index.shtml#vehicle。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/ggplot/utils.py:81: FutureWarning: pandas.tslib is deprecated and will be removed in a future version.\n",
      "You can access Timestamp as pandas.Timestamp\n",
      "  pd.tslib.Timestamp,\n",
      "/usr/local/lib/python2.7/dist-packages/ggplot/stats/smoothers.py:4: FutureWarning: The pandas.lib module is deprecated and will be removed in a future version. These are private functions and can be accessed from pandas._libs.lib instead\n",
      "  from pandas.lib import Timestamp\n",
      "/usr/local/lib/python2.7/dist-packages/statsmodels/compat/pandas.py:56: FutureWarning: The pandas.core.datetools module is deprecated and will be removed in a future version. Please use the pandas.tseries module instead.\n",
      "  from pandas.core import datetools\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd  \n",
    "import numpy as np\n",
    "import ggplot as gp\n",
    "# from ggplot import *  \n",
    "import matplotlib.pyplot as plt\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/media/sf_share/linux/car\n"
     ]
    }
   ],
   "source": [
    "print(os.getcwd())\n",
    "os.chdir(\"/media/sf_share/linux/car\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "39270\n",
      "83\n",
      "Index([u'barrels08', u'barrelsA08', u'charge120', u'charge240', u'city08',\n",
      "       u'city08U', u'cityA08', u'cityA08U', u'cityCD', u'cityE', u'cityUF',\n",
      "       u'co2', u'co2A', u'co2TailpipeAGpm', u'co2TailpipeGpm', u'comb08',\n",
      "       u'comb08U', u'combA08', u'combA08U', u'combE', u'combinedCD',\n",
      "       u'combinedUF', u'cylinders', u'displ', u'drive', u'engId', u'eng_dscr',\n",
      "       u'feScore', u'fuelCost08', u'fuelCostA08', u'fuelType', u'fuelType1',\n",
      "       u'ghgScore', u'ghgScoreA', u'highway08', u'highway08U', u'highwayA08',\n",
      "       u'highwayA08U', u'highwayCD', u'highwayE', u'highwayUF', u'hlv', u'hpv',\n",
      "       u'id', u'lv2', u'lv4', u'make', u'model', u'mpgData', u'phevBlended',\n",
      "       u'pv2', u'pv4', u'range', u'rangeCity', u'rangeCityA', u'rangeHwy',\n",
      "       u'rangeHwyA', u'trany', u'UCity', u'UCityA', u'UHighway', u'UHighwayA',\n",
      "       u'VClass', u'year', u'youSaveSpend', u'guzzler', u'trans_dscr',\n",
      "       u'tCharger', u'sCharger', u'atvType', u'fuelType2', u'rangeA',\n",
      "       u'evMotor', u'mfrCode', u'c240Dscr', u'charge240b', u'c240bDscr',\n",
      "       u'createdOn', u'modifiedOn', u'startStop', u'phevCity', u'phevHwy',\n",
      "       u'phevComb'],\n",
      "      dtype='object')\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py:2717: DtypeWarning: Columns (70,71,72,73,74,76,79) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
     ]
    }
   ],
   "source": [
    "# [39270 rows x 83 columns]\n",
    "vehicles = pd.read_csv(\"input/vehicles.csv\")  \n",
    "# print(vehicles.head)\n",
    "print(len(vehicles))\n",
    "print(len(vehicles.columns))\n",
    "print(vehicles.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "35\n",
      "1984\n",
      "2018\n"
     ]
    }
   ],
   "source": [
    "# 查看年份信息,数据总共覆盖35年，从1984年到2018年。\n",
    "\n",
    "print(len(pd.unique(vehicles.year)))\n",
    "print(min(vehicles.year))\n",
    "print(max(vehicles.year))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Regular                        25698\n",
       "Premium                        10671\n",
       "Gasoline or E85                 1269\n",
       "Diesel                          1103\n",
       "Electricity                      145\n",
       "Premium or E85                   125\n",
       "Midgrade                          90\n",
       "CNG                               60\n",
       "Premium and Electricity           37\n",
       "Regular Gas and Electricity       22\n",
       "Gasoline or natural gas           20\n",
       "Premium Gas or Electricity        19\n",
       "Gasoline or propane                8\n",
       "Regular Gas or Electricity         3\n",
       "Name: fuelType, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看燃料类型\n",
    "pd.value_counts(vehicles.fuelType)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### trany变量分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Automatic 4-spd                     11045\n",
       "Manual 5-spd                         8339\n",
       "Automatic 3-spd                      3151\n",
       "Automatic (S6)                       2879\n",
       "Manual 6-spd                         2584\n",
       "Automatic 5-spd                      2198\n",
       "Automatic 6-spd                      1526\n",
       "Manual 4-spd                         1483\n",
       "Automatic (S8)                       1211\n",
       "Automatic (S5)                        830\n",
       "Automatic (variable gear ratios)      744\n",
       "Automatic 7-spd                       695\n",
       "Automatic (AM-S7)                     334\n",
       "Automatic 8-spd                       326\n",
       "Automatic (S7)                        294\n",
       "Automatic (S4)                        233\n",
       "Automatic (AM7)                       196\n",
       "Automatic (AV-S6)                     174\n",
       "Automatic 9-spd                       170\n",
       "Automatic (A1)                        137\n",
       "Automatic (AM6)                       128\n",
       "Automatic (AM-S6)                     111\n",
       "Automatic (AV-S7)                     101\n",
       "Manual 7-spd                           93\n",
       "Manual 3-spd                           77\n",
       "Automatic (S9)                         48\n",
       "Automatic (S10)                        42\n",
       "Automatic (AV-S8)                      32\n",
       "Automatic (AM-S8)                      28\n",
       "Manual 4-spd Doubled                   17\n",
       "Automatic (AM5)                        14\n",
       "Automatic 10-spd                        8\n",
       "Automatic (AM8)                         5\n",
       "Automatic (L4)                          2\n",
       "Automatic (L3)                          2\n",
       "Automatic (AV-S10)                      1\n",
       "Automatic (AM-S9)                       1\n",
       "Name: trany, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看变速箱类型,首字母A和M开头\n",
    "pd.value_counts(vehicles.trany)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "A    26666\n",
       "M    12593\n",
       "Name: trany2, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# trany变量自动挡是以A开头，手动挡是以M开头；故创建一个新变量trany2：\n",
    "# 取首字母\n",
    "vehicles['trany2'] = vehicles.trany.str[0]\n",
    "pd.value_counts(vehicles.trany2)\n",
    "# 可以看到，自动挡26666，手动挡12593"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AAADAZIxwAAAAwGSMcAAAAMBkjHAAAADAZIxwAAAAwGQR+TrhAAAACK1jx45p5cqVcjgc\nysrKkt1utzpSg8IIBwAAQJ243W6NGTNG+fn5kqQRI0bo+eefl81mszhZw8HlKAAAAKiTL7/8MjDA\nJWnp0qXas2ePhYkaHkY4AAAA6sTpdAYdx8bGqkmTJhalaZgY4QAAAKiTHj166K677lJMTIwcDoce\neeQRJScnWx2rQeGacAAAANTZjBkzNH36dMXExCg2lklZVzQGAACAenE4HFZHaLC4HAUAAAAwGSMc\nAAAAMBkjHAAAADAZIxwAAAAwGSMcAAAAMBkjHAAAADAZIxwAAAAwGSMcAACgDgoKCnTJJZfozDPP\n1L333iufz2d1JDRAjHAAAIA6uOOOO7Rx40YdOnRIc+fO1Ztvvml1JDRAjHAAAIA6+OGHH4KOCwsL\nLUqChowfW18L8fHxiok5/v1KTEyMEhISLE50cjabTUePHlVcXJxiY8P3jzfce5To0ij0aAx6NAY9\nGiPaexwzZoyefPJJSVJCQoIuu+yyev0+0d5jtAvfP/Ew4na7A28nJCSosrLSwjQ1i4uLU1JSkioq\nKlRVVWV1nJMK9x4lujQKPRqDHo1Bj8aI9h7vvvtupaWl6bvvvtOwYcPUqVOnev0+0d5jfblcLqsj\nGIIRDgAAUEeXXXaZ1RHQwHFNOAAAAGAyRjgAAABgMkY4AAAAYDJGOAAAAGAyRjgAAABgMkY4AAAA\nYDJGOAAAAGAyRjgAAABgMkY4AAAAYDJGOAAAAGAyRjgAAABgMkY4AAAAYDJGOAAAAGAyRjgAAABg\nMkY4AAAAYDJGOAAAAGAyRjgAAABgMkY4AAAAYLJYqwMAAACY6dtvv9X8+fOVkJCgG264QUlJSVZH\nQhRihAMAgKhRVFSkyy67TIcOHZIkrV69Wnl5eYqJ4eIAmIuvOAAAEDX+85//BAa4JH311VcqKiqy\nMBGiFSMcAABEjTPOOEOxsf93IUCLFi3kcrksTIRoxQgHAABRo3PnzvrHP/6hnj17qm/fvpo3b54c\nDofVsRCFuCYcAABElezsbGVnZ1sdA1GOM+EAAACAySLyTLjX61VeXp4KCgpUWVkpl8ulrKwsdenS\nRQcOHNA777yjkpISSVKrVq108cUXq2XLlhanBgAAQLSIyBHu8/nkdDo1ZcoUJSYmavv27Vq4cKGm\nTZumZs2aacyYMUpKSpLf79dnn32mt956SzfffLPVsQEAABAlInKEOxwODRkyJHCclpampKQk7d27\nV927d1dCQoKk42M9JiYm6KWKSktLVV5eHvR4Ho9HTZo0kSTZ7XbFxcWZ8FnUz4lnfP/4md/hKNx7\nlOjSKPRoDHo0Bj0agx6NQY/RLbz/1A1SXl6u4uJipaSkBG77y1/+Io/HI7/fHzTY8/PztXbt2qCP\nz8zMDHqfhoCXWzIOXRqDHo1Bj8agR2PQozHoMTrZ/H6/3+oQoVRdXa358+crOTn5Z8+E9ng82rhx\no5KSkvSb3/xG0q+fCY+Pj5fb7TYnfD3ExsbK5XKppKREXq/X6jgnFe49SnRpFHo0Bj0agx6NQY/G\noMf6+fFJ1YYsos+E+3w+LVq0SHa7XSNGjPjZ/Q6HQ3369NGjjz6q6dOnq2nTpnI6nXI6nUHvV1hY\nqKqqKknH/8KceDuceb3esM7ZUHqU6NIo9GgMejQGPRqDHo1Bj9EpYl+i0O/3Kzc3VxUVFRo7dqzs\ndvtJ36+qqkplZWUmJwQAAEC0itgRvmTJEhUVFWncuHFBTyb49ttvtXfvXvl8Ph07dkzLly9Xo0aN\n1KJFCwvTAgAAIJpE5OUohw8fVn5+vux2u2bNmhW4PTs7W3a7XUuXLlVpaani4uLUpk0bXXPNNTzr\nFwAAAKaJyBGelJSknJyck97fo0cP88IAAAAAPxGxl6MAAAAA4YoRDgAAAJiMEQ4AAACYjBEOAAAA\nmIwRDgAAAJiMEQ4AAACYjBEOAAAAmIwRDgAAAJiMEQ4AAACYjBEOAAAAmIwRDgAAAJiMEQ4AAACY\njBEOAAAAmIwRDgAAAJiMEQ4AAACYjBEOAAAAmIwRDgAAAJiMEQ4AAACYjBEOAAAAmIwRDgAAAJiM\nEQ4AAACYjBEOAAAAmIwRDgAAAJiMEQ4AAACYzOb3+/1Whwh3xcXFiok5/v1KTEyMfD6fxYlOzmaz\nyeFwyOPxKJz/aMO9R4kujUKPxqBHY9CjMejRGPRYPy6Xy+oIhoi1OkBD4Ha7A28nJCSosrLSwjQ1\ni4uLU1JSkioqKlRVVWV1nJMK9x4lujQKPRqDHo1Bj8agR2PQY/1EygjnchQAAADAZIxwAAAAwGSM\ncAAAAMBkjHAAAADAZIxwAAAAwGSMcAAAAMBkjHAAAADAZIxwAAAAwGSMcAAAAMBkjHAAAADAZIxw\nAAAAwGSMcAAAAMBkjHAAAADAZIxwAAAAwGSMcAAAAMBkjHAAAADAZIxwAAAAwGSMcAAAAMBkjHAA\nAADAZIxwAAAAwGSMcAAAAMBkjHAAAADAZIxwAAAAwGSMcAAAAMBkjHAAAADAZLE13blt2zatXLlS\n06dPlyQNHz5cHo8ncP8zzzyjtLS00CYEAAAAIkyNI/yRRx5RZmZm4PiTTz7R448/LknauHGjHnnk\nEb3yyiuhTVgPXq9XeXl5KigoUGVlpVwul7KystSlSxd9//33Wr16tQoLCxUTE6OOHTvq4osvVrNm\nzayODQAAgChR4wj/8MMP9cQTTwSO7Xa7rr/+eklSWVmZzjnnnNCmqyefzyen06kpU6YoMTFR27dv\n18KFCzVt2jQdO3ZM6enpGjNmjGJiYrR06VItXrxYEydOtDo2AAAAokSNI/zAgQNyOp2B43nz5gXe\nbtasmfbv3x+6ZKfA4XBoyJAhgeO0tDQlJSVp79696t69e9D79uvXT3PmzDE5IQAAAKJZjSO8WbNm\n2rVrlzp27ChJys7ODtxXUFCgpk2bhjScUcrLy1VcXKyUlJSf3bd79+6g20tLS1VeXh70Ph6PR02a\nNJF0/F8D4uLiQhv4FMTGxgb9Gq7CvUeJLo1Cj8agR2PQozHo0Rj0GN1sfr/ff7I7b7jhBlVWVurV\nV1/92X0TJ05Uo0aN9MILL4Q04Kmqrq7W/PnzlZycHPRNhCTt27dPc+bM0bhx49ShQwdJ0urVq7V2\n7dqg98vMzAw6sw4AAACcihpH+L59+zRgwAAlJibq8ssvV2pqqvbu3avFixerpKRE69evV2pqqpl5\n68Tn8+ntt9+W2+3WuHHjZLfbA/cVFxdrzpw5ysrK0llnnRW4/dfOhMfHx8vtdpvzCdRDbGysXC6X\nSkpK5PV6rY5zUuHeo0SXRqFHY9CjMejRGPRoDHqsn1+6sqEhqvHfP1JTU/XFF1/o73//u5YtW6aD\nBw+qefPmGjFihO688041b97crJx15vf7lZubq4qKCk2YMCFogB8+fFjz5s1TRkZG0ACXJKfTGXQd\nvCQVFhaqqqpK0vG/MCfeDmderzesczaUHiW6NAo9GoMejUGPxqBHY9BjdPrVi5CSk5N155136s9/\n/rMZeQyzZMkSFRUVadKkSUHXMZWWlmru3Lnq16+f+vbta2FCAAAARKsaR/j69et1xRVXaP/+/Wrf\nvr3eeecd9e7d26xs9Xb48GHl5+fLbrdr1qxZgduzs7N16NAhlZSUaM2aNVqzZk3gvvvuu8+CpAAA\nAIhGNY7wu+66SxMnTtTkyZP1yiuv6K677tIHH3xgVrZ6S0pKUk5OzknvHzx4sGlZAAAAgJ+qcYRv\n2bJFa9euld1u15///OfAK4gAAAAAqL+Ymu70er2BJzTGx8fL4/GYEgoAAACIZDWeCT927JgmTZoU\nOK6oqAg6loJ/iiYAAECoLVmyRF9++aX69OmjESNGWB0HqJcaR/hPn6x47733hjQMAABATebPn6+7\n775bkvTcc8/p73//u8aOHWtxKqDuahzhDz74oFk5AAAAftXy5ct/dswIR0NU4wj/8MMPf/UBMjIy\nDAsDAABQk9NPP73GY6ChqHGEDx48WC1btpTD4dAv/XR7m82m7777LmThAAAAfuyee+5RSUmJvvzy\nS/Xt21d33XWX1ZGAeqlxhI8aNUrr169Xdna2Jk2apHPPPdesXAAAAD/TuHFjPfXUU1bHAE5ZjS9R\n+M477+ibb75R9+7dddttt6lr16566KGH9P3335uVDwAAAIg4NY5wSUpOTtb06dO1YcMGvfvuu9q3\nb5/OOOMMffLJJ2bkAwAAACJOjZejnOD3+7VixQrNnTtX//73v3XNNdfojDPOCHU2AAAAICLVOMK/\n/vprzZs3T2+++aa6d++uSZMm6aWXXlJCQoJZ+QAAAICIU+MIP+uss5SWlqYbbrhBrVu31rFjx/TG\nG28Evc91110X0oAAAABApKlxhGdkZMhms2nVqlW/eL/NZmOEAwAAAHVU4whfs2aNSTEAAACA6PGr\nr44CAAAAwFiMcAAAAMBkjHAAAADAZIxwAAAAwGS1+mE9krR161YtXLhQ+/bt09NPP62tW7fK4/Go\nV69eocwHAAAARJxanQlfuHChMjIy9MMPP+jVV1+VJJWXl+vOO+8MaTgAAAAgEtVqhD/wwANauXKl\nnn32WdntdknHf5DPpk2bQhoOAAAAiES1GuEHDhwIXHZis9kCv554GwAAAEDt1WqEp6enBy5DOeFf\n//qX+vXrF5JQAAAAQCSr1RMzn3zySV144YV66aWXVFFRoYsuukjbtm3TihUrQp0PAAAAiDg2v9/v\nr807Hj16VEuWLNHu3bvVrl07jRw5Uk2bNg11vrBQXFysmJjj/2gQExMjn89ncaKTs9lscjgc8ng8\nquUfrSXCvUeJLo1Cj8agR2PQozHo0Rj0WD8ul8vqCIao9UsUNm7cWGPGjAlllrDldrsDbyckJKiy\nstLCNDWLi4tTUlKSKioqVFVVZXWckwr3HiW6NAo9GoMejUGPxqBHY9Bj/UTVCB80aNAvPgkzPj5e\nbdu21RVXXKHs7GzDwwEAAACRqFZPzBw8eLB27dqlzMxMXXPNNcrMzNTu3bvVp08fnXbaabruuuv0\nt7/9LdRZAQAAgIhQqzPhK1as0PLly9WtW7fAbRMmTNDkyZO1YcMGXXHFFRo3bpxmzpwZsqAAAABA\npKjVmfCtW7fqjDPOCLqtQ4cO+n//7/9Jkvr166f9+/cbnw4AAACIQLUa4RkZGbr22mu1Y8cOHTt2\nTDt27NDUqVM1cOBASdLXX3+tVq1ahTQoAAAAEClqNcLnzp0rn8+n7t27q0mTJurRo4eqq6s1Z84c\nSZLD4dAbb7wRypwAAABAxKjVNeHJycn617/+JZ/Pp6KiIqWkpAReN1uS0tLSQhYQAAAAiDS1fp1w\nSaqoqNDRo0e1a9euwG0/vVYcAAAAQM1qNcK3bNmiCRMmaNOmTbLZbPL7/YHXDa+urg5pQAAAACDS\n1Oqa8JtvvllDhgzRoUOH5HQ6VVJSohtvvFFz584NdT4AAAAg4tTqTPimTZu0cuVKxcXFye/3KzEx\nUY8++qh69uypa665JtQZAQAAgIhSqzPhjRo1UlVVlSSpRYsW+u677+Tz+VRcXBzScAAAAEAkqtUI\nHzRokBYsWCBJGj16tC6++GJlZmZq6NChIQ0HAAAARKJaXY5yYoBL0sMPP6yePXuqrKxMkyZNClkw\nAAAAIFL96givrq7WBRdcoOXLlys+Pl4xMTFcBw4AAACcgl+9HMVut2vnzp3y+Xxm5AEAAAAiXq2u\nCX/wwQc1bdo07d69W9XV1fL5fIH/AQAAAKibWl0T/tvf/laS9OqrrwZuO/EDe/hhPQAAAEDd1GqE\n79y5M9Q5AAAAgKhRqxHeoUMHSZLP59P+/fvVqlWrkIYCAAAAIlmtrgk/fPiwxo8fr0aNGqlz586S\npNzcXP3xj38MaTgAAAAgEtVqhN90001KTEzU7t275XA4JEnnnXee3nzzzZCGAwAAACJRrS5HWbVq\nlQoLCxUXFyebzSZJSklJ0YEDB0IaDgAAAIhEtToTnpiYqIMHDwbd9t1333FtOAAAAFAPtRrhv/3t\nb3XllVdq9erV8vl8+vTTTzV58mTddNNNoc4HAAAARJxaXY5y9913KyEhQdOnT1dVVZWuu+463Xjj\njbr99ttNvqVPAAAgAElEQVRDna9evF6v8vLyVFBQoMrKSrlcLmVlZalLly7yer16++23VVhYqCNH\njmjy5Mk6/fTTrY4MAEDU2Lhxo9xut/r06SO73W51HMAStRrhNptNt99+e9iO7p/y+XxyOp2aMmWK\nEhMTtX37di1cuFDTpk1Ts2bN1L59e/Xv318LFy60OioAAFHl/vvv18svvyxJGjx4sObNm8cQR1Sq\n1eUoZ511lh599FHt2bMn1HkM4XA4NGTIELlcLsXExCgtLU1JSUnau3evYmNjdd5556lDhw6BJ5kC\nAIDQKyoqCgxwSVqzZo3Wr19vYSLAOrU6E56Tk6M33nhD//M//6P09HSNHz9eV111lZKTk0OdzxDl\n5eUqLi5WSkrKr75vaWmpysvLg27zeDxq0qSJJMlutysuLi4kOY0QGxsb9Gu4CvceJbo0Cj0agx6N\nQY/GqG+PCQkJstls8vv9QbeF6nON1B7NFu49NlQ2/4//JvyKsrIyLVq0SG+88YbWrVunCy64QLm5\nuaHMd8qqq6s1f/58JScnKzs7O+i+xx57TFdccUXQNeGrV6/W2rVrg94vMzNTQ4YMMSUvAACR7NFH\nH9Xdd98tv9+v66+/Xi+++KLVkQBL1Olbr2bNmmn8+PFKSkqSx+PR0qVLQ5XLED6fT4sWLZLdbteI\nESNq9THp6elKS0sLus3j8aioqEiSFB8fL7fbbXhWo8TGxsrlcqmkpERer9fqOCcV7j1KdGkUejQG\nPRqDHo1xKj1OmTJFI0aMkMfjUdu2bQP/fQ2FSO7RTOHWY22ubGgIajXC/X6//v3vf+v111/XO++8\now4dOmj8+PGaO3duqPPVm9/vV25urioqKjRhwoRaP+nD6XTK6XQG3VZYWKiqqipJx//CnHg7nHm9\n3rDO2VB6lOjSKPRoDHo0Bj0ao749ulwuSQr55xjpPZqlofTY0NRqhLdu3VpNmzbV1VdfrY8//ljd\nunULda5TtmTJEhUVFWnSpEk/u47J6/UGrkerrq5WVVWVYmNjeaImAAAATFGrEf7uu++qX79+P7vd\n5/MpJqZWL7BiqsOHDys/P192u12zZs0K3J6dna1evXrpqaee0pEjRyRJ8+fPlyTdfvvtge/MAQAA\ngFCq1Qj/6QD/+uuvNXfuXL3++usqLCwMSbBTkZSUpJycnJPeP2PGDPPCAAAAAD9R69PYRUVFmj17\nts455xz17t1bX3zxhWbPnh3KbAAAAEBEqvFMeFVVlXJzczVnzhwtX75cnTt31rhx47R7924tWLBA\nLVu2NCsnAAAAEDFqPBN+2mmn6cYbb1RaWprWr1+vLVu26P7775fD4TArHwAAABBxahzhvXr10uHD\nh7VhwwZ9/vnnKikpMSsXAAAAELFqHOFr1qzRt99+qwsvvFCzZs1SamqqsrOzVVFRwetFAgAAAPX0\nq0/M7NChg+6//35t375dq1atUqtWrRQTE6OzzjpLM2fONCMjAAAAEFHq9CLfAwcO1PPPP699+/bp\nqaee0tdffx2qXAAAAEDEqtdP2mnUqJHGjRunZcuWGZ0HAAAAiHjh9+MuAQAAgAjHCAcAAABMxggH\nAAAATMYIBwAAAEzGCAcAAABMxggHAAAATMYIBwAAAEzGCAcAAABMxggHAAB1UlpaKp/PZ3UMoEFj\nhAMAgFqprKzUmDFj1LlzZ7Vq1Upffvml1ZGABosRDgAAamXu3Ln6+OOPJUkHDhzQzJkzLU4ENFyM\ncAAAUCulpaVBx2VlZRYlARo+RjgAAKiVsWPHqnnz5pIkm82mm2++2eJEQMMVa3UAAADQMHTo0EEf\nfPCB8vPz1bt3b7Vv315VVVVWxwIaJEY4AACotZYtW+rSSy9VSkqKioqKrI4DNFhcjgIAAACYjBEO\nAAAAmMzm9/v9VocId8XFxYqJOf79SkxMTFj/gAKbzSaHwyGPx6Nw/qMN9x4lujQKPRqDHo1Bj8ag\nR2PQY/24XC6rIxiCa8Jrwe12B95OSEhQZWWlhWlqFhcXp6SkJFVUVIT1k2XCvUeJLo1Cj8agR2PQ\nozHo0Rj0WD+RMsK5HAUAAAAwGSMcAAAAMBkjHAAAADAZIxwAAAAwGSMcAAAAMBkjHAAAADAZIxwA\nAAAwGSMcAAAAMBkjHAAAADAZIxwAAAAwGSMcAAAAMBkjHAAAADAZIxwAAAAwGSMcAAAAMBkjHAAA\nADAZIxwAAAAwGSMcAAAAMBkjHAAAADAZIxwAAAAwGSMcAAAAMBkjHAAAADAZIxwAAAAwGSMcAAAA\nMBkjHAAAADAZIxwAAAAwGSMcAAAAMFms1QFCwev1Ki8vTwUFBaqsrJTL5VJWVpa6dOkiSSooKFBe\nXp6OHDmitm3b6rLLLlNSUpLFqQEAABAtIvJMuM/nk9Pp1JQpU3TPPfdo6NChWrhwoUpKSlRRUaE3\n33xTQ4cO1d13363WrVtr4cKFVkcGAABAFInIM+EOh0NDhgwJHKelpSkpKUl79+7V0aNHlZKSoh49\nekiSBg8erL/97W8qKipSSkqKSktLVV5eHvR4Ho9HTZo0kSTZ7XbFxcWZ98nUUWxsbNCv4Srce5To\n0ij0aAx6NAY9GoMejUGP0S28/9QNUl5eruLiYqWkpOiLL75Qampq4D6HwyGXyxUY4fn5+Vq7dm3Q\nx2dmZgaN+obA5XJZHSFi0KUx6NEY9GgMejQGPRqDHqNTxI/w6upqvf322+rdu7dSUlLk8XjUuHHj\noPdp1KiR3G63JCk9PV1paWlB93s8HhUVFUmS4uPjA+8bjmJjY+VyuVRSUiKv12t1nJMK9x4lujQK\nPRqDHo1Bj8agR2PQY/2kpKRYHcEQET3CfT6fFi1aJLvdrhEjRkg6fub7p19Ibrdb8fHxkiSn0ymn\n0xl0f2FhoaqqqiQd/wtz4u1w5vV6wzpnQ+lRokuj0KMx6NEY9GgMejQGPUaniHxipiT5/X7l5uaq\noqJCY8eOld1ul3T8u6f9+/cH3s/j8ejQoUMR810VAAAAwl/EjvAlS5aoqKhI48aNC3oyQbdu3XTg\nwAFt2bJFVVVVWrt2rU477bSwGeGVlZU/e2IoAAAAIktEXo5y+PBh5efny263a9asWYHbs7Oz1atX\nL40ZM0ZLly7VokWL1KZNG40ePdrCtP9nzpw5euCBB1RdXa1bbrlFf/jDH6yOBAAAgBCIyBGelJSk\nnJyck97fqVMn3XrrreYFqoXi4mLdf//98vl8kqR//OMfys7OVs+ePS1OBgAAAKNF7OUoDc3Ro0cD\nA/wELksBAACITIzwMNGuXTuNGjUqcNy/f3+lp6dbmAgAAAChEpGXozRUTz/9tMaOHSu3263BgwfX\n66dTLV++XNu3b1fPnj11/vnnhyAlAAAAThUjPIzYbDZlZmbW++Nff/11/f73vw8cP/vss8rOzjYi\nGgAAAAzE5SgRJDc3N+g4Ly/PoiQAAACoCSM8grRv3z7ouF27dhYlAQAAQE24HCWC3HfffSouLtZX\nX32lfv36acaMGVZHAgAAwC/gTHgESUxM1Lx58/TDDz/o+eefV+PGja2OBAAII5s3b1ZGRoa6dOmi\ne+65R36/3+pIQNRihAMAECVuu+02ffvttzp69KheffVVLVq0yOpIQNRihAMAECX2798fdHzgwAGL\nkgBghAMAECXGjh0beDsxMVHDhw+3MA0Q3XhiJgAAUeKBBx5Qenq69u7dq6ysLHXs2NHqSEDUYoQD\nABBFLrnkEqsjABCXowAAAACmY4QDQIht3rxZ69atU2VlpdVRAABhghEOACH0xBNP6KKLLtLVV1+t\nyy67TEePHrU6EgAgDDDCAYStnTt36t5779UDDzygvXv3Wh2nzqqrq/XEE08Ejjdv3qxly5ZZmAgA\nEC54YiaAsHT48GFdccUVgdcxXrVqlVatWqVGjRpZnKz2YmJiFBcXp6qqqsBt8fHxFiYCAIQLzoQj\nyL59+/TPf/5Tc+fOldvttjoOotjWrVuDfpDIrl27tGfPHgsT1Z3NZtMjjzwih8MhSbrooot08cUX\nW5wKABAOOBOOgEOHDmnkyJGBf/ZfuXKl5s+fb3EqRKsOHTooISEh8GTGpKQkpaamWpyq7q688kpl\nZWWpvLxcrVu3ls1mszoSACAMcCYcAevXrw+67nb16tUqKSmxMBGiWatWrfTKK6/o3HPP1YABAzR/\n/nw1bdrU9Bw7duzQE088oddee03V1dX1eozExES1adOmXgP86NGjmjx5stq2bas+ffo0uH8NAAD8\nMs6EI6B169ZBx4mJiZaMHuCEQYMGadCgQZb9/rt27VJ2drZKS0slSZ9//nnQEy3N8PTTT+uDDz6Q\nJOXn5+vee+/VSy+9ZGoGAIDxOBOOgN69eysnJ0ctW7bU6aefrhdffFFxcXFWxwIss3r16sAAl6Tc\n3FzTMxQVFdV4XFtlZWUqKyszIhIAwACMcASZOnWq/vOf/+ijjz7SgAEDrI4DWKpt27ZBx23atDE9\nw+jRowNP7JSk8ePH1/kxZs+erW7duqlbt26aPXu2kfEAAPVk8/v9fqtDhLvi4mLFxBz/fiUmJkY+\nn8/iRCdns9nkcDjk8XgUzn+04d6jRJdGaeg9/uUvf9H8+fOVkpKip59+Wj169DA92zfffKNPPvlE\nvXr1Uv/+/evU486dO5Wenh50W35+vk4//XSjY0ri69Eo9GgMejRGuPXocrmsjmAIRngtFBYWBt7+\n8as1hKO4uDilpKSoqKgo6LWJw0249yjRpVHo0Rj17XHLli0aNmxY0G0rV65U9+7djY4oKXJ7NBs9\nGoMejRFuPf70OWwNFZejAIhY33//vUaOHKmuXbvqlltukcfjsTqS6bp27Ro0wocNG6Zu3bpZmAgA\nIPHqKAAi2N13363//Oc/kqR33nlHPXv21E033WRxKnPFxMTopZde0rp16yQdf8UZXqscAKzHCAcQ\nsfbv3x90/OPXwY8mdrtdgwcPtjoGAOBHuBwFQMQaPXp04G2Hw6FLL73UwjQAAPwfzoQDiFjTpk1T\np06dVFBQoIEDB6pnz55WRwIAQBIjHECEu/DCC62OAADAzzDCEXbeffddLVmyRO3atdNdd92lxo0b\nWx0JAADAUIxwhJU1a9bo5ptvDhwXFhbq2WeftTARAACA8XhiJsLK559/XuMxAABAJOBMOMJK7969\ng47PPvtsi5IAQPg5cOCAcnNz1axZM1155ZWKjeU/40BDxd9ehJVhw4bpscce03vvvad27drp3nvv\ntToSAISFQ4cO6ZJLLlFhYaEk6YMPPtALL7xgcSoA9cUIR9i5+uqrdfXVV1sdAwDCykcffRQY4JK0\ndOlSlZeXq2nTphamAlBfjHAYyu/3a9GiRfrhhx900UUXKS0tzepIABARUlNTg44TExOVkJBgURoA\np4onZsJQOTk5uu222/TXv/5Vl1xyibZu3Wp1JACICP369dPMmTOVmJioNm3a6Pnnn5fdbrc6FoB6\n4kw4DLV48eLA25WVlVqxYoW6du1qYSIAOG7fvn3auHGj+vTpo1atWlkdp15uv/123X777VbHAGAA\nzoTDUG3atAk6bt26tUVJAOD/7NixQxdccIGuv/56nX322XrrrbesjgQgyjHCYagnn3xSvXr1UvPm\nzXX99dfryiuvtDoSgFNUWVmpnJwcXX311XrmmWesjlMvr7/+ug4fPixJ8vl8evrppy1OBCDacTkK\nDNW5c2ctW7bM6hgADPSnP/1J8+bNkyStW7dOTZs21cSJEy1OVTdNmjQJOuYVRQBYjTPhiEgVFRUq\nKSmxOgYQETZt2lTjcUMwdepUnXPOOZKk0047TQ8//LDFiQBEO0Y4Is6rr76q7t27q2fPnvrDH/5g\ndRygwevXr1/Q8bnnnmtRkvpzOp167733tHXrVv3www8688wzrY4EIMpxOQoiSnl5uf74xz/K6/VK\nkubNm6fLL7/8ZyMiGrz22mtatGiRWrVqpQcffFApKSlWR0IDdd999ykxMVFbt25VRkaGrrrqKqsj\n1VtycjIv6wcgLDDCEVE8Hk9ggJ9QUVFhURrrrFmzRjNnzgwc79+/XwsXLrQwERqyuLg4zZgxw+oY\nABBRuBwFESU5OVnXXHNN4LhPnz46//zzLUxkjc2bNwcdb9myxaIkgDGqq6v1xhtvaPbs2fr222+t\njgMAp4wz4Yg4f/3rX3X55Zfr6NGjOv/88+VwOKyOZLr+/fvLbrerurpakjRgwACLEwGn5ne/+13g\nX3OeffZZvf/+++rQoYPFqQCg/hjhiEj9+/e3OoKl+vTpozlz5mjx4sVq1aoVP2EPDV5ubm7g7dLS\nUq1evVpTpkyxLhAAnCJGOBChhg4dqqFDh57SY1RXV8vr9So+Pt6gVED9tG7dWjt37gw6BoCGLCJH\n+IYNG7Rx40YdOHBAPXv21OWXXx64Lz8/Xx999JHKy8vVvn17jRo1Sk6n08K0CEcFBQX673//q4yM\nDCUnJ1sdxxJ5eXm64447VFlZqeuuu05/+tOfrI6EBqy0tFQffvihXC5XvZ6n8dxzz2nGjBkqKirS\n+PHjdeGFF4YgJQCYJyJHeLNmzZSRkaFvv/1WVVVVgdt37typVatWacqUKUpOTtb777+vt99+W9de\ne62FaRFuPvnkE02cOFHHjh1TfHy85s+fH3XXVFdVVem2227TsWPHJEkvvfSShg0bpkGDBlmcDA3R\nkSNHNHLkSBUUFEiSbrrpJt1///11eowePXpoxYoVoYgHAJaIyBHevXt3SVJhYWHQCN+2bZt69Oih\nli1bSpIyMjL097//XYcOHQqc7SwtLVV5eXnQ43k8nsCPPLbb7YqLizPj06iX2NjYoF/DVTj3OGfO\nnMD4dLvdevnll5WZmWlxqpMLRZdutzvQwQkVFRX1+n34mjRGQ+5x1apVgQEuSS+++KIefPBBS16v\n28oe9+/fr9/+9rf6+uuvNWDAAD3//PNq2rTpL74vX4/GoEdjhHuPDVV4/6mHgN/v/9ltBw4cCIzw\n/Px8rV27Nuj+zMxMDRkyxJR8RnG5XFZHaLBOfJN2QvPmzaPuB92kpKRo6tSpeuGFFyQd/8Z29OjR\np3TpFl+TxmiIPbZt2zbouEmTJkpNTbUozXH16XHjxo26//77VVVVpfvvv7/Ol9XMmDFDGzZskCR9\n8MEHeuaZZ/S3v/2tzjnCSUP8egxH9BidomqEd+7cWW+99Zb69Omj5s2bB8b2j8+Wp6enKy0tLejj\nPB6PioqKJEnx8fFyu93mha6j2NhYuVwulZSU/OyH1oSTcO7xjjvu0KeffqqtW7eqa9eumjlzZuDP\nPxyFqsuHHnpIQ4cOVWlpqbKysuR2u+vVA1+TxmjIPQ4YMEBjxozRggUL1LhxYz355JOW/Z2qb4/l\n5eUaNmyYDh48KEn6+OOP9emnn+q0006r9WPs3r076LigoOCkPfD1aAx6NEa49RgpJ8aiaoR36tRJ\nQ4YM0YIFC+R2u9W/f3/Fx8cHnd1zOp0/O9v348taYmNjg0Z7uPJ6vWGdM5x7bNGihVatWqWjR4+q\nc+fOKioqCtusUmi7zMjICLx9qr8HX5PGaKg9Pv744/rf//1fNWrUKCy6rmuP3333XWCAS8dH+bZt\n2+r0xO3Ro0fro48+knT8n/evuOKKk2YIh45qo6F+PYYbeoxOUTXCJalfv37q16+fJOngwYP68MMP\nf3b5ASBJiYmJVkcAIsrJrn9uCNq2bau2bdtqz549ko5fpvab3/ymTo9x1VVXqXXr1tq8ebP69eun\ns88+OxRRATQQETnCq6ur5fP55Pf75ff7VVVVpZiYGPl8Ph06dEgtW7bUkSNH9N577+ncc89VQkKC\n1ZEBAGEsISFBCxcu1FNPPSWv16ubbrqpXi9fev7559frJRoBRJ6IHOEffvhh0JMrv/rqK2VmZqp/\n//56++23VVJSIofDobPPPvuUf5gJACA6tG/fXo8++qjVMQBEiIgc4UOGDDnpq5ncfPPNJqcB6u7I\nkSP685//rF27dumSSy7hx3MDABBhInKEAw3dXXfdpaVLl0o6/sODWrRooZEjR1qcCgAAGCXG6gBA\nJCouLtZzzz2nOXPmqLKyss4f/9VXXwUdf/3110ZFAwAAYYAz4YDBysrKdOmll2rXrl2SpLy8PC1Y\nsEA2m63Wj9G/f3+99dZbQccAACByMMIBg+Xn5wcGuHT8cpK9e/eqdevWtX6Mv/71r2rTpo12796t\n4cOHN7if2Cod/+m0L774otavX6/zzjtPU6dOtToSAABhgxEOGCw1NVU2m01+v1+S1LhxYyUlJdXp\nMRo1aqSZM2eGIp5p5s6dq5ycHEnS+++/r5KSEv3+97+3NhQAAGGCa8IBg3Xt2lUPPfSQWrRoobZt\n2+q5555T48aNrY5lus8++6zGYwAAohkjHAiByZMna9OmTdqwYUPUvhb9OeecU+MxAADRjMtRAITE\n9ddfL7fbrfXr16t///6aPn261ZEAAAgbjHAAIWGz2TR9+nTdcccdSklJUVFRkaqqqqyOBQBAWOBy\nFAAAAMBkjHAAAADAZIxwAAAAwGSMcAAAAMBkjHAAAADAZIxwAAAAwGSMcAAAAMBkjHAAAADAZIxw\nAAAAwGSMcAAAAMBkjHAAAADAZIxwAAAAwGSMcAAAAMBkjHAAAADAZIxwAAAAwGQ2v9/vtzpEuCsu\nLlZMzPHvV2JiYuTz+SxOdHI2m00Oh0Mej0fh/Ecb7j1KdGkUejQGPRqDHo1Bj8agx/pxuVxWRzBE\nrNUBGgK32x14OyEhQZWVlRamqVlcXJySkpJUUVGhqqoqq+OcVLj3KNGlUejRGPRoDHo0Bj0agx7r\nJ1JGOGfCI0xpaany8/OVnp4up9NpdZwGjS6NQY/GoEdj0KMx6NEY9BjduCY8wpSXl2vt2rUqLy+3\nOkqDR5fGoEdj0KMx6NEY9GgMeoxujHAAAADAZIxwAAAAwGSMcAAAAMBk9pycnByrQ8A4fr9fDodD\nHTt2VHx8vNVxGjS6NAY9GoMejUGPxqBHY9BjdOPVUQAAAACT8TrhYW7Dhg3auHGjDhw4oJ49e+ry\nyy8P3Jefn6+PPvpI5eXlat++vUaNGhV4iSOv16tly5Zp69atqq6uVvv27TVy5MjA/a+88or27NkT\n+CFETqdTt956q/mfoEnq22NlZaXef/99bd++XZLUt29fDRkyJPCxJSUlevfdd7Vnzx4lJiZqxIgR\n6tSpk7mfnIlC1ePjjz+uiooK2Ww2SVK7du00adIkEz8z83i9XuXl5amgoECVlZVyuVzKyspSly5d\nJEkFBQXKy8vTkSNH1LZtW1122WVKSkoKfOySJUu0ZcsWxcXF6fzzz9eAAQMCj13Tx0aaUPVYUlKi\n2bNnKy4uLvB7DRw4UJmZmeZ/kiY4lR43b96s9evXa9++fWrTpo2uvfbaoMfeu3evcnNzVVRUpJSU\nFF166aVq1aqV6Z+jGULZY05OTtDXY8+ePTVq1CjzPjmEDJejhLnS0tLAP1P5fD5169ZNkrRz504t\nWbJEEydO1LBhw/TDDz/oiy++0Nlnny1J+uSTT7Rjxw5df/31GjRokAoKCrR161b17NlTkrRx40YN\nHDhQY8eOVUZGhs4991zLPkcz1LfHvLw8VVVVacqUKTrzzDO1YsUKxcfHB/5D8tprr6l169aaOHGi\nEhMTtWjRIp1zzjlyOByWfa6hFKoe169fr9GjR2vUqFHKyMjQWWedZdnnGGper1cHDhzQ8OHDlZWV\npcTERL311lvq2bOnfD6fXn75ZQ0fPlyjRo1ScXGxPvnkE6Wnp0uS/v3vf2vfvn2aOnWqunfvrvfe\ne08tW7ZU8+bNVVFRUePHRppQ9Xjs2DFt2LBB9913nzIzM5WRkaGOHTta+8mG0Kn0WFZWptTUVLVo\n0UKHDx8O/H0/8bgvv/yy0tPTNXbsWPl8Pr3//vvq27dv4ORPJAlVj5K0Zs0aTZ8+XRdddJEyMjLU\ntWtXKz5FhEDk/U34/+3dW2zT5R/H8ffWw04d2Wy7NmwjYEfMDsImESfGwcBxikQTNJE4k3HhIdHI\noomJcGG8UO900TtiJJGAxuCiKIgRROYhIagDVKbCokzM1sPWAutOpe3/Yln/VPhvf3D9des+r2Q3\n/R36fL952n379HmeZpiqqioqKyvJy8tLevz333+nurqakpISzGYzDQ0NnD9/noGBAQBCoRAejweb\nzYbFYqGmpga/35+OEGaEm83jb7/9xj333IPVaqW4uJi6ujo6OzsBCAQC9Pb20tjYiMVioaqqCpfL\nxZkzZwyPzyipyONcY7VaaWxspLi4mOzsbG677TaKioro7e2lq6sLp9NJdXU1FouFVatW4fV6E6/d\nkydP0tDQQF5eHk6nk2XLlnHy5EmAKa/NNKnK41zzb/Lo8XioqamhsLDwmvv++eefxGIx6uvrMZvN\n1NfXE4/H+eOPP4wO0RCpyqNkNk1HmcWuN53f5/Nxyy23UFdXx6FDh7h06RK5ubmcPn2aioqKpHOP\nHDnC4cOHcTgcrF69mkWLFhnV9Bllsjxe77jP5wPA7/dTXFyctJjG5XJlbNEzlZvN44T29nbi8Thu\nt5u1a9fidrtT19gZZHBwkP7+fpxOJ99//31S3BMfWvx+PzabjcHBwaTjLpeLX3/9FRjvj//rWqfT\naVxAaTJdeZzQ1tYGjBdITU1NFBQUGBNImv2/eZyqT/n9flwuV2KKGfz3/XFiikYmm648Tti1axfx\neJzy8nLWrVuXMT/bPtdpJHyWqqio4JdffqGvr49IJMKxY8cAiEQiANjtdubNm8frr7/Oa6+9RiAQ\nSJrT2NTUxLZt23j++edZtmwZ7733XmLUci6ZKo8VFRV88803jI6O0t/fT2dnZ+LY2NjYNavZc3Nz\nGR0dNTaIGeDf5BFg8+bNtLa20trayqJFi9i9ezfDw8NpicVI0WiUDz/8kNraWpxO56R9amxsDCDp\n+Jqk6ZQAAAdfSURBVNX9bS73x+nMY35+Po8//jitra08+eSTjI6O0t7eblwwaXQjeZyK+uP05BGg\npaWF1tZWnnnmGQoLC9m7dy/RaDQVTReDqQifpTweD42NjXzwwQe0tbVRVFRETk5OYiHcgQMHiEaj\nvPDCC+zYsYPKykr27NmTuL6srIycnBzMZjO1tbWUl5cnFs3NJVPlccOGDVgsFt58803ef/99ampq\nEsesVus1b6Kjo6Nzcpupf5NHgAULFmCxWLBardx7773k5ubS09OTrnAMEYvFaG9vx2QysXHjRmDy\nPjWxzuDq41f3t7naH6c7jzk5OZSWlmIymbDZbGzcuJHu7u6MLx5vNI9TUX+cnjwCLFy4ELPZTF5e\nHhs2bCAUChEIBKa97WI8TUeZxZYvX87y5cuB8fnJHR0dlJSUANDX18eaNWvIz89PnHv06FHC4fB1\nv1bNysq67nSCuWCyPObn57N58+bEuYcPH6a0tBQAp9NJMBhMejPt6+vj9ttvNziCmeFm83g9md4f\n4/E4+/fvJxwO8+ijj2IymYDxPnXq1KnEeWNjYwwMDOB0OsnLy8Nms+H1erHZbMB4f5v4OnuyazNV\nKvL4TxPTKdQfb6xPOZ1OvvvuO+LxeCKHXq+XO++8MzVBzACpyONkzyWzn0bCZ7hoNEokEiEejxOP\nx4lEIonHvF4v8XicUCjEJ598wl133ZVYMFdaWsqpU6cYGRkhGo1y4sQJCgsLKSgoYHh4mHPnziXu\ndfr0ac6fP3/NnPFMcrN5HBgYYGhoiFgsxtmzZ/nhhx9oaGgAwOFw4Ha7+eqrr4hEInR1deH1eqmq\nqkpnqCmVijyGQiF6enq4cuUKkUiEb7/9lqGhIRYsWJDOUFPq008/xe/3s2XLlqStxyorK/H5fJw5\ncyYxrcflciX+WS9dupSOjg6Gh4fx+/38+OOP1NbW/l/XZqJU5PHChQsEAgFisRhDQ0N89tlnLFy4\nkNzc3LTEaISbzWMsFiMSiRCLxZLeD2B89DY7O5vjx49z5coVjh8/DpDRa49SkUefz0dvby+xWIzR\n0VE+//xz5s2bl9Gv67lEP9Yzwx09ejQxv3bCypUrqa+vZ9euXQSDQaxWK3V1daxevTqx9dPEP4/u\n7m6i0SglJSWsW7eOsrIywuEwe/bsIRAIkJWVlViYmcn7W99sHn/++WcOHTrEyMgIdrudpqampA8r\nwWCQjz76iL///ntO7BOeijz6fD727dtHMBjEbDbjdru57777Jh0pn81CoRBtbW2YTKakrdo2bdrE\nkiVL6O7u5uDBg1y8eJHS0lIefPDBxCKsqfYJn+zaTJOqPP70008cOXKEcDhMTk4Ot956K01NTRm7\nc8W/yWNnZycff/xx0v2WLl2a+P2Aq/cJdzgcPPDAAxm7T3iq8jixv/ilS5ewWCyUl5ezdu1a7Ha7\nofFJaqgIFxERERExmKajiIiIiIgYTEW4iIiIiIjBVISLiIiIiBhMRbiIiIiIiMFUhIuIiIiIGExF\nuIiIiIiIwVSEi4iIiIgYTEW4iIiIiIjBVISLiIiIiBhMRbiIiIiIiMFUhIuIiIiIGExFuIiIiIiI\nwVSEi4iIiIgYTEW4iIiIiIjBVISLiIiIiBhMRbiIiIiIiMFUhIuIiIiIGExFuIiIiIiIwVSEi4jM\nIM3NzWzdujXpsWPHjmG32+nt7U1Tq0REZLplxePxeLobISIi4/r7+6murmb37t00NTUxMjLCkiVL\n2L59Oy0tLdP2PNFoFJPJNG33ExGRG6ORcBGRGcRut/PWW2/xxBNPEA6Hefnll/F4PLS0tBCLxXj1\n1VfxeDw4HA4eeeQRgsEgALFYjIceegi3201RURGrVq2iq6srcd/m5maefvpp1q9fT0FBAV9//XW6\nQhQREVSEi4jMOA8//DB33HEHW7ZsYefOnezcuROAN954gwMHDtDR0cGFCxew2Ww8++yzievuv/9+\nzp49S19fHzU1NTz22GNJ9927dy8vvfQSly9f5u677zY0JhERSabpKCIiM5DX68Xj8fDKK6+wbds2\nABYvXszbb7/NypUrAfjrr79YvHgxQ0NDZGcnj6kEAgGcTieDg4MUFBTQ3NyM1WrlnXfeMTwWERG5\nljndDRARkWu5XC4cDgfV1dWJx3p6eti0adM1BbfP58PpdPLiiy+yb98+AoFA4pxAIEBBQQEA5eXl\nxgUgIiKT0nQUEZFZoqysjC+++IJQKJT4GxkZwe128+6773Lw4EG+/PJLLl68yLlz5wC4+svOrKys\ndDVdRET+QUW4iMgs8dRTT7F9+3Z6enqA8RHw/fv3A3D58mVycnKw2+0MDQ2xY8eOdDZVRESmoCJc\nRGSWeO6551i/fj1r1qyhsLCQFStWcOLECQC2bt3K/PnzmT9/PtXV1axYsSLNrRURkcloYaaIiIiI\niME0Ei4iIiIiYjAV4SIiIiIiBlMRLiIiIiJiMBXhIiIiIiIGUxEuIiIiImIwFeEiIiIiIgZTES4i\nIiIiYjAV4SIiIiIiBvsPjVc47jvRnloAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa4807ccd10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<ggplot: (8771518469409)>\n"
     ]
    }
   ],
   "source": [
    "# 先按照年份分组\n",
    "grouped = vehicles.groupby('year')\n",
    "\n",
    "# 再计算其中三列的均值\n",
    "averaged= grouped['comb08', 'highway08', 'city08'].agg([np.mean])\n",
    "\n",
    "# 为方便分析，对其进行重命名，然后创建一个‘year’的列，包含该数据框data frame的索引\n",
    "averaged.columns = ['comb08_mean', 'highwayo8_mean', 'city08_mean']\n",
    "averaged['year'] = averaged.index\n",
    "\n",
    "# 使用ggplot包将结果绘成散点图\n",
    "gp1=gp.ggplot(averaged, gp.aes('year', 'comb08_mean')) + gp.geom_point(colour='steelblue') + gp.xlab(\"Year\") + gp.ylab(\"Average MPG\") + gp.ggtitle(\"All cars\")\n",
    "print(gp1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 去除混合动力汽车\n",
    "criteria1 = vehicles.fuelType1.isin(['Regular Gasoline', 'Premium Gasoline', 'Midgrade Gasoline'])\n",
    "criteria2 = vehicles.fuelType2.isnull()\n",
    "criteria3 = vehicles.atvType != 'Hybrid'\n",
    "vehicles_non_hybrid = vehicles[criteria1 & criteria2 & criteria3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 将得到的数据框data frame按年份分组，并计算平均油耗\n",
    "grouped = vehicles_non_hybrid.groupby(['year'])\n",
    "averaged = grouped['comb08'].agg([np.mean])\n",
    "averaged['hahhahah']  = averaged.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 2. ,  4.9,  2.2,  5.2,  1.8,  1.6,  2.3,  2.8,  4. ,  5. ,  3.3,\n",
       "        3.1,  3.8,  4.6,  3.4,  3. ,  5.9,  2.5,  4.5,  6.8,  2.4,  2.9,\n",
       "        5.7,  4.3,  3.5,  5.8,  3.2,  4.2,  1.9,  2.6,  7.4,  3.9,  1.5,\n",
       "        1.3,  4.1,  8. ,  6. ,  3.6,  5.4,  5.6,  1. ,  2.1,  1.2,  6.5,\n",
       "        2.7,  4.7,  5.5,  1.1,  5.3,  4.4,  3.7,  6.7,  4.8,  1.7,  6.2,\n",
       "        8.3,  1.4,  6.1,  7. ,  8.4,  6.3,  nan,  6.6,  6.4,  0.9])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#  查看是否大引擎的汽车越来越少\n",
    "pd.unique(vehicles_non_hybrid.displ)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/pandas/core/indexing.py:517: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self.obj[item] = s\n"
     ]
    }
   ],
   "source": [
    "# 去掉nan值，并用astype方法保证各个值都是float型的\n",
    "criteria = vehicles_non_hybrid.displ.notnull()\n",
    "vehicles_non_hybrid = vehicles_non_hybrid[criteria]\n",
    "vehicles_non_hybrid.loc[:,'displ'] = vehicles_non_hybrid.displ.astype('float')\n",
    "criteria = vehicles_non_hybrid.comb08.notnull()\n",
    "vehicles_non_hybrid = vehicles_non_hybrid[criteria]\n",
    "vehicles_non_hybrid.loc[:,'comb08'] = vehicles_non_hybrid.comb08.astype('float')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CwlRZWdnV0wEAAOgWWI4CAAAA+BlJOAAAAOBnJOEAAACAn7EmHO3y+ncH9OGmfFlMJj16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\niMjG/h+rmO9rt7GDQgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa473778190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<ggplot: (8771518485969)>\n"
     ]
    }
   ],
   "source": [
    "# 最后用ggplot包来绘图\n",
    "gp2=gp.ggplot(vehicles_non_hybrid, gp.aes('displ', 'comb08')) + gp.geom_point(color='steelblue') + \\\n",
    "gp.xlab('Engine Displacement') + gp.ylab('Average MPG') + gp.ggtitle('Gasoline cars')\n",
    "print(gp2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YkzzMSR615UQdi7o+DSHidDpRXV0Nm82GgwcPIi0tLbDOYDDAarUGmvnCwkLs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\nRERERBSj/j+ZuItdAGmHNAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa47373cdd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8771517963333)>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看是否平均起来汽车越来越少了\n",
    "grouped_by_year = vehicles_non_hybrid.groupby(['year'])\n",
    "avg_grouped_by_year = grouped_by_year['displ', 'comb08'].agg([np.mean])\n",
    "# -  计算displ和conm08的均值，并改造数据框data frame\n",
    "avg_grouped_by_year['year'] = avg_grouped_by_year.index\n",
    "melted_avg_grouped_by_year = pd.melt(avg_grouped_by_year, id_vars='year')\n",
    "# -  创建分屏绘图\n",
    "p = gp.ggplot(gp.aes(x='year', y='value', color = 'variable_0'), data=melted_avg_grouped_by_year)\n",
    "p + gp.geom_point() + gp.facet_grid(\"variable_0\",scales=\"free\") #scales参数fixed表示固定坐标轴刻度，free表示反馈坐标轴刻度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  4.,  12.,   8.,   6.,   5.,  10.,   2.,   3.,  16.,  nan])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.unique(vehicles_non_hybrid.cylinders)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  4.,  12.,   8.,   6.,   5.,  10.,   2.,   3.,  16.,  nan])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vehicles_non_hybrid.cylinders = vehicles_non_hybrid.cylinders.astype('float')\n",
    "pd.unique(vehicles_non_hybrid.cylinders)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "vehicles_non_hybrid_4 = vehicles_non_hybrid[(vehicles_non_hybrid.cylinders==4.0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7fa4733c98d0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_by_year_4_cylinder = vehicles_non_hybrid_4.groupby(['year']).make.nunique()\n",
    "fig = grouped_by_year_4_cylinder.plot()\n",
    "fig.set_xlabel('Year')\n",
    "fig.set_ylabel('Number of 4-Cylinder Maker')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "set(['Dodge', 'Jeep', 'Chevrolet', 'Nissan', 'Honda', 'Toyota', 'Volkswagen', 'Mazda', 'Subaru', 'Ford'])\n"
     ]
    }
   ],
   "source": [
    "grouped_by_year_4_cylinder = vehicles_non_hybrid_4.groupby(['year'])\n",
    "unique_makes = []\n",
    "for name, group in grouped_by_year_4_cylinder:\n",
    "    unique_makes.append(set(pd.unique(group['make'])))\n",
    "\n",
    "unique_makes = reduce(set.intersection, unique_makes)\n",
    "print(unique_makes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CBBwcHPSQWvdkWjkhtCw5OZkhQ4bQunVr3n//fX3HEaJUSExM5MSJE3Tu3Pmlt2FmZoaL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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa47336e150>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (8771516938941)>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 最终选取在unique_makes集合中存在的品牌\n",
    "boolean_mask = []\n",
    "for index, row in vehicles_non_hybrid_4.iterrows():\n",
    "    make = row['make']\n",
    "    boolean_mask.append(make in unique_makes)\n",
    "df_common_makes = vehicles_non_hybrid_4[boolean_mask]\n",
    "# 先将数据框data frame按year和make分组，然后计算各组的均值\n",
    "df_common_makes_grouped = df_common_makes.groupby(['year', 'make']).agg(np.mean).reset_index()\n",
    "# 最后利用ggplot提供的分屏图来显示结果\n",
    "gp.ggplot(gp.aes(x='year', y='comb08'), data = df_common_makes_grouped) \\\n",
    "+ gp.geom_line() + gp.facet_wrap('make')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}