notebooks/my_practice_.ipynb

{
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "last updated: 2017-06-03 \n",
      "\n",
      "CPython 3.6.1\n",
      "IPython 6.0.0\n",
      "\n",
      "pandas 0.20.1\n",
      "matplotlib 2.0.0\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -u -v -d -p pandas,matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_excel(\"https://github.com/chris1610/pbpython/blob/master/data/sample-salesv3.xlsx?raw=true\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>account number</th>\n",
       "      <th>name</th>\n",
       "      <th>sku</th>\n",
       "      <th>quantity</th>\n",
       "      <th>unit price</th>\n",
       "      <th>ext price</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>740150</td>\n",
       "      <td>Barton LLC</td>\n",
       "      <td>B1-20000</td>\n",
       "      <td>39</td>\n",
       "      <td>86.69</td>\n",
       "      <td>3380.91</td>\n",
       "      <td>2014-01-01 07:21:51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>714466</td>\n",
       "      <td>Trantow-Barrows</td>\n",
       "      <td>S2-77896</td>\n",
       "      <td>-1</td>\n",
       "      <td>63.16</td>\n",
       "      <td>-63.16</td>\n",
       "      <td>2014-01-01 10:00:47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>218895</td>\n",
       "      <td>Kulas Inc</td>\n",
       "      <td>B1-69924</td>\n",
       "      <td>23</td>\n",
       "      <td>90.70</td>\n",
       "      <td>2086.10</td>\n",
       "      <td>2014-01-01 13:24:58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>307599</td>\n",
       "      <td>Kassulke, Ondricka and Metz</td>\n",
       "      <td>S1-65481</td>\n",
       "      <td>41</td>\n",
       "      <td>21.05</td>\n",
       "      <td>863.05</td>\n",
       "      <td>2014-01-01 15:05:22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>412290</td>\n",
       "      <td>Jerde-Hilpert</td>\n",
       "      <td>S2-34077</td>\n",
       "      <td>6</td>\n",
       "      <td>83.21</td>\n",
       "      <td>499.26</td>\n",
       "      <td>2014-01-01 23:26:55</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   account number                         name       sku  quantity  \\\n",
       "0          740150                   Barton LLC  B1-20000        39   \n",
       "1          714466              Trantow-Barrows  S2-77896        -1   \n",
       "2          218895                    Kulas Inc  B1-69924        23   \n",
       "3          307599  Kassulke, Ondricka and Metz  S1-65481        41   \n",
       "4          412290                Jerde-Hilpert  S2-34077         6   \n",
       "\n",
       "   unit price  ext price                 date  \n",
       "0       86.69    3380.91  2014-01-01 07:21:51  \n",
       "1       63.16     -63.16  2014-01-01 10:00:47  \n",
       "2       90.70    2086.10  2014-01-01 13:24:58  \n",
       "3       21.05     863.05  2014-01-01 15:05:22  \n",
       "4       83.21     499.26  2014-01-01 23:26:55  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1500, 7)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "top_10 = df.groupby('name')['ext price', 'quantity'].agg({'ext price': 'sum', 'quantity': 'count'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>ext price</th>\n",
       "      <th>quantity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Barton LLC</th>\n",
       "      <td>109438.50</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cronin, Oberbrunner and Spencer</th>\n",
       "      <td>89734.55</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frami, Hills and Schmidt</th>\n",
       "      <td>103569.59</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fritsch, Russel and Anderson</th>\n",
       "      <td>112214.71</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Halvorson, Crona and Champlin</th>\n",
       "      <td>70004.36</td>\n",
       "      <td>58</td>\n",
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      ],
      "text/plain": [
       "                                 ext price  quantity\n",
       "name                                                \n",
       "Barton LLC                       109438.50        82\n",
       "Cronin, Oberbrunner and Spencer   89734.55        67\n",
       "Frami, Hills and Schmidt         103569.59        72\n",
       "Fritsch, Russel and Anderson     112214.71        81\n",
       "Halvorson, Crona and Champlin     70004.36        58"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_10.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "top_10 = top_10.sort_values(by='ext price', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Kulas Inc</th>\n",
       "      <td>137351.96</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White-Trantow</th>\n",
       "      <td>135841.99</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trantow-Barrows</th>\n",
       "      <td>123381.38</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jerde-Hilpert</th>\n",
       "      <td>112591.43</td>\n",
       "      <td>89</td>\n",
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      "text/plain": [
       "                              ext price  quantity\n",
       "name                                             \n",
       "Kulas Inc                     137351.96        94\n",
       "White-Trantow                 135841.99        86\n",
       "Trantow-Barrows               123381.38        94\n",
       "Jerde-Hilpert                 112591.43        89\n",
       "Fritsch, Russel and Anderson  112214.71        81"
      ]
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     "metadata": {},
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   "source": [
    "top_10.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "      <th>Kulas Inc</th>\n",
       "      <td>137351.96</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White-Trantow</th>\n",
       "      <td>135841.99</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trantow-Barrows</th>\n",
       "      <td>123381.38</td>\n",
       "      <td>94</td>\n",
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       "    <tr>\n",
       "      <th>Jerde-Hilpert</th>\n",
       "      <td>112591.43</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fritsch, Russel and Anderson</th>\n",
       "      <td>112214.71</td>\n",
       "      <td>81</td>\n",
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      ],
      "text/plain": [
       "                              ext price  quantity\n",
       "name                                             \n",
       "Kulas Inc                     137351.96        94\n",
       "White-Trantow                 135841.99        86\n",
       "Trantow-Barrows               123381.38        94\n",
       "Jerde-Hilpert                 112591.43        89\n",
       "Fritsch, Russel and Anderson  112214.71        81"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_10 = top_10[:10]\n",
    "top_10.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "top_10 = top_10.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>Kulas Inc</td>\n",
       "      <td>137351.96</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>White-Trantow</td>\n",
       "      <td>135841.99</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Trantow-Barrows</td>\n",
       "      <td>123381.38</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerde-Hilpert</td>\n",
       "      <td>112591.43</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Fritsch, Russel and Anderson</td>\n",
       "      <td>112214.71</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Barton LLC</td>\n",
       "      <td>109438.50</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Will LLC</td>\n",
       "      <td>104437.60</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Koepp Ltd</td>\n",
       "      <td>103660.54</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Frami, Hills and Schmidt</td>\n",
       "      <td>103569.59</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Keeling LLC</td>\n",
       "      <td>100934.30</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           name  ext price  quantity\n",
       "0                     Kulas Inc  137351.96        94\n",
       "1                 White-Trantow  135841.99        86\n",
       "2               Trantow-Barrows  123381.38        94\n",
       "3                 Jerde-Hilpert  112591.43        89\n",
       "4  Fritsch, Russel and Anderson  112214.71        81\n",
       "5                    Barton LLC  109438.50        82\n",
       "6                      Will LLC  104437.60        74\n",
       "7                     Koepp Ltd  103660.54        82\n",
       "8      Frami, Hills and Schmidt  103569.59        72\n",
       "9                   Keeling LLC  100934.30        74"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "top_10.rename(columns={'name': 'Name', 'ext price': 'Sales', 'quantity': 'Purcheses'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "      <td>94</td>\n",
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       "      <th>1</th>\n",
       "      <td>White-Trantow</td>\n",
       "      <td>135841.99</td>\n",
       "      <td>86</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Trantow-Barrows</td>\n",
       "      <td>123381.38</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jerde-Hilpert</td>\n",
       "      <td>112591.43</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Fritsch, Russel and Anderson</td>\n",
       "      <td>112214.71</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Barton LLC</td>\n",
       "      <td>109438.50</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Will LLC</td>\n",
       "      <td>104437.60</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Koepp Ltd</td>\n",
       "      <td>103660.54</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Frami, Hills and Schmidt</td>\n",
       "      <td>103569.59</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Keeling LLC</td>\n",
       "      <td>100934.30</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Name      Sales  Purcheses\n",
       "0                     Kulas Inc  137351.96         94\n",
       "1                 White-Trantow  135841.99         86\n",
       "2               Trantow-Barrows  123381.38         94\n",
       "3                 Jerde-Hilpert  112591.43         89\n",
       "4  Fritsch, Russel and Anderson  112214.71         81\n",
       "5                    Barton LLC  109438.50         82\n",
       "6                      Will LLC  104437.60         74\n",
       "7                     Koepp Ltd  103660.54         82\n",
       "8      Frami, Hills and Schmidt  103569.59         72\n",
       "9                   Keeling LLC  100934.30         74"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['bmh',\n",
       " 'classic',\n",
       " 'dark_background',\n",
       " 'fivethirtyeight',\n",
       " 'ggplot',\n",
       " 'grayscale',\n",
       " 'seaborn-bright',\n",
       " 'seaborn-colorblind',\n",
       " 'seaborn-dark-palette',\n",
       " 'seaborn-dark',\n",
       " 'seaborn-darkgrid',\n",
       " 'seaborn-deep',\n",
       " 'seaborn-muted',\n",
       " 'seaborn-notebook',\n",
       " 'seaborn-paper',\n",
       " 'seaborn-pastel',\n",
       " 'seaborn-poster',\n",
       " 'seaborn-talk',\n",
       " 'seaborn-ticks',\n",
       " 'seaborn-white',\n",
       " 'seaborn-whitegrid',\n",
       " 'seaborn']"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.style.available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1101e1978>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Tjjz8Wu/evUlMTCQ2NpbQ0FBatGhR4baysrLKfW10V6Snp7Nu3To8PDzw8fFxHi64on79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\nIiLiEhUPIiIi4hIVDyIiIuKS/w94Irc0MIrFewAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1101e1d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_10.plot(x='Name', y='Sales', kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1102cf780>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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p2rUrcCVk/pns2LGDhQsX8uuvv5Kbm0u5cuWoV68eAwYMsFtNkZGRxTo+MTGRgQMHsmXL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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fff86a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('classic')\n",
    "top_10.plot(x='Name', y='Sales', kind='barh')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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11vqqEQAAAHA6tQrS69ev1w8//KDo6Gi9/vrrkqRWrVrpnXfeIUhfpsaPHy9X\nV1e5u7urrKxMwcHBGjNmjDw9PWt9rE8++UQ33nijrrrqqjqtMTo6WitXrlSTJk0qPB8fH6877rhD\nvXr1qvSalJQUvffee8rPz1eTJk3k7e2toUOHqnPnznVaGwAAaLxqFaS3bNmiWbNmqXnz5nrjjTck\nSS1atFBODrcGu5zFxsYqODhYVqtVL7zwgjZv3qyBAwfW+PVWq1WS9Omnnyo8PLzOg3RtpaSkaMmS\nJZo0aZI6duwoSTpy5Ij279/v0LoAAMCVpVZB+syZM2rWrFmF56xWq8xmc50WBccoKytTSUmJfHx8\nJEkHDhzQa6+9ppKSEpWUlOimm27SkCFDJEnr1q3TgQMHdPbsWeXm5qpv377Ky8vTokWL5O7urvHj\nx6tVq1ZasWKFfv31V0nnbp84dOhQSedmk9u3b6+MjAzl5+crMjJSo0ePrpPzeO+99zRkyBBbiJak\nwMBABQYG1snxAQAApFoG6TZt2igpKUl9+vSxPbdjxw61a9euzgtDwzkffo8dO6b27dvbvr5XX321\nZsyYITc3N5WUlOiZZ55RZGSkwsLCJEm//PKLXnjhBdsM9ObNm22z25L0j3/8Q2VlZUpISFBJSYlm\nzJih1q1bq2/fvpKko0ePaubMmbJYLIqNjVV6errt2Jdi7969GjlyZI33T05O1s6dOyVJbm5uiomJ\nka+vr217SZbpkmsCAFyezGazvP38HF1GBe7u7vJzspqcxZo1a1RaWipJ6tatm6Kioup1vFoF6ZiY\nGM2ZM0fff/+9SktL9eqrryopKUnPPPNMfdWHBnA+/FosFi1fvlxvv/22HnroIZWUlOj1119XZmam\nXFxclJubq8zMTFvY7d69+0WXcaSmpuqhhx6Si4uLPD091a9fP6WkpNiCdN++fWU2m2U2mxUcHKzs\n7Ow6CdK1FRUVVekHrbCwUOXl5ZIkj//+CQBofCwWiwoKChxdRgV+fn5OV5OjmUwm+fj4KCYmpkHH\nrdXt70JDQzVv3jz5+voqPDxcVqtV06dPV4cOHeqrPjQgs9msG264QcnJyZKkd955R76+vpo/f74S\nEhIUHh5u+y1PUq0vSDSZKs7surm52f7u4uJiW2t9qdq3b6/09PQ6ORYAAEBVajUjLUlBQUG1etsc\nl5ddu3YpKChIknTq1Cm1bt1aZrNZWVlZSklJuehdL7y8vFRUVGR7HBkZqY0bN6pLly46e/astmzZ\nojvvvLP+aBN6AAAgAElEQVTez2HIkCF65ZVX1K5dO9sMd3Z2tjIzM9W7d+96Hx8AADQOtQ7SeXl5\n2rt3r86cOVPh+ZtuuqnOikLDOr9G2mq1qnnz5nr00UclnQukS5Ys0b///W+1bNlSERERFz3On//8\nZy1btsx2seG9996rFStW6KmnnpJ07mLD88s6auvJJ5+sMKP96quvSpKWLVumFStWVNivW7dueuyx\nx/TWW2/pxIkTcnd3l7+/v6Kjow2NDQAAYI+pvLzmC0C//PJLvfHGG3J3d5eHh8dvBzGZtGzZsnop\nEHCEI0eO/LZG+nCmiuInOLgiAIAjeExfpLI2IY4uowLWSFdmMpkccneuWn8gy8SJE3l7HAAAAI1e\nrS42LCsr0w033FBftQAAAACXjVoF6T59+mjHjh31VQsAAABw2ajV0o6//e1vmjZtmr744otK9w8e\nN25cnRYGAAAAOLNaBekVK1YoPz9fgYGBslgs9VUT4FRcmjaTx/RFji7D6ZjNZv4dqAK9sY++2Edf\nquYUvfEPcOz4cGq1CtJJSUlasGCBWrRoUV/1AE7HrVVrFXv7Vr9jI+PNVeNVojf20Rf76EvV6A2c\nXa3WSPv6+ioggN/MAAAAgFoF6TvvvFNr166ts49yBgAAAC5XtVra8X//9386ceKEPv/8c/n6Vnyr\ne+nSpXVaGAAAAODMahWk77vvvvqqAwAAALis1CpI33LLLfVUBgAAAHB5qVWQlqS8vDxt3bpVubm5\nat68uW6++WYuQAQAAECjU6uLDTMyMhQbG6tt27bpxIkT+vrrrxUbG6uMjIz6qg8AAABwSrWakX7r\nrbc0dOhQDR482Pbcxx9/rLfeekuzZs2q8+IAAAAAZ1WrGemDBw/qz3/+c4XnBg4cqAMHDtRpUQAA\nAICzq1WQ9vb21vHjxys8l5eXJ29v7zotCgAAAHB2tVra0bt3byUkJGjYsGFq2bKlsrOztW7dOvXp\n06e+6gMAAACcUq3vI11SUqLFixerpKREbm5u6t+/v6Kjo+urPgAAAMAp1SpIu7m56eGHH9bIkSNV\nWFgoX19fmUym+qoNAAAAcFq1WiP9/PPPS5JMJpP8/PxsIfqFF16o+8oAAAAAJ1arIL1nz55aPQ8A\nAABcqWq0tGPXrl2SJKvVavv7eVlZWfLy8qr7ygAAAAAnVqMgPWfOHLt/l6SmTZsqJiambqsCAAAA\nnJypvLy8vKY7T5o0SQsXLqzPegCncOTIEZ3/0fAqKlRpbo6DK3I+ZrNZFovF0WU4JXpjH32xj75U\n7bLqjX+AyvybNshQfn5+KigoaJCxLhcmk0mBgYENP25tgvSFzpw5IxcXF7m7u9dlTYDD/T5IexzO\nVFH8BAdXBABwZh7TF6msTUiDjEWQrsxRQbpWFxuuXbtWv/zyiyQpJSVFo0aN0qhRo5SSklIvxQEA\nAADOqlZB+t///reCgoIkSR988IHuv/9+DR8+XGvXrq2X4gAAAABnVasgXVRUpCZNmqikpET79u3T\nwIEDdeutt+rIkSP1VR8AAADglGr1yYbe3t7Ky8vTgQMH1K5dO7m6uqqkpERWq7W+6gMAAACcUq2C\n9C233KJp06aptLRUf/vb3yRJv/76q225R02MHz9erq6utgsUQ0JCNHbsWLv7xsXFafbs2fLy8tIn\nn3yiG2+8UVdddVVtSrZJTExUcHCwBg0aVKvXbd68WStXrlSLFi1ktVrl5+enRx99tFbnfKnS0tK0\natUqJSQk1NsYq1evlqenp6Kjo+1uLy4u1ujRo9W3b1899thjhsY4cOCAXnjhBSUmJl5KqQAAAE6h\nVkH6vvvuU+fOneXq6qouXbpIktzc3PTAAw/UatDY2FgFBwdXud1ischsNlcIjp9++qnCw8MNB+lL\nER4ersmTJ0s6FzjffPNNTZ06tcHrcKTt27erffv2+u677zRy5Eh5eno22Njnvx8AAACcSa2CtCR1\n7dq1wuMOHTrUSSGJiYkymUw6evSoTp48qcWLFys6OlorV67UZ599pry8PC1atEju7u4aP368cnNz\ntXbtWplMJlmtVg0bNkw9e/ZUXl6eVq5cqaysLJlMJl1//fUaNmyYJOnw4cOaPXu2jh8/rmuvvVZP\nPPGEXF1r14LIyEglJyfbHsfHx+uOO+5Qr169JEkLFy7Uddddp1tuuUVfffWVPv74Y7m6uspqtWrs\n2LEKCQnRypUrtWvXLrm6usrFxUVz5syRu7u7kpOT9f7776ukpEQuLi564IEHFBERcdF6tm3bpk8/\n/VRlZWUqLy/Xfffdp+uvv95WW/v27ZWRkaH8/HxFRkZq9OjRkqT8/Hy98sorys3NVUBAgHx9fS86\ny75x40YNGTJEX375pbZv364BAwZIOjdjv3XrVvn6+urgwYNyc3NTbGysWrZsKUlat26dtm3bJi8v\nL3Xv3r3CMas637S0NL3xxhsKDQ3V3r17dc8996ioqKhSL0NDQ/Xrr79q5cqVOnPmjNzc3DR8+HB1\n6tRJOTk5mjx5su644w798MMPKioq0siRI9WjR49afb0BAACqUqsUuWTJkiq3/f3vf6/xcc4HYkka\nOnSoLYTu27fPtpTj9+69915t2rSpwkx2YmKiRo8erbCwMFmtVhUXF0uSXn75ZXXt2lWTJk2SpAr3\nWczMzNTMmTPl5uammTNnKikpSTfddFON67Zarfruu+/Ut2/fGu2/evVqLV68WE2bNlVZWZnKysq0\nf/9+7dq1SwsXLpSLi4uKiork6uqqo0ePav369Zo2bZq8vb2VnZ2tGTNmVLsMolu3brrxxhtlMpmU\nk5OjadOmqVu3bnJzc5MkHT16VDNnzpTFYlFsbKzS09MVFhamlStXKiQkRNOmTVNeXp7i4uKqDNKH\nDh3S8ePHFRUVJavVqg0bNtiCtCRlZGQoISFBLVq00Ntvv60PP/xQo0eP1o8//qikpCTNmzdPXl5e\nevnll22vqe58Dx8+rEceecS2jGT48OGVellWVqYFCxZozJgxioqK0p49e7Rw4ULbOEVFRWrTpo2i\no6OVnJyslStXEqQBAECdqVWQdnGpeJOP/Px87d69W717967VoFUt7ejdu3elEF2ViIgIrVy5Ur17\n91a3bt0UHBysM2fOaM+ePZo2bZptPz8/P9vfe/XqJQ8PD0nn1mYfPXq0RmOlpaUpLi5Oubm58vHx\n0XPPPVej10VGRmrJkiW67rrrFBUVpaCgILVs2VIWi0VLly5VeHi4evToIRcXFyUnJys7O1szZ860\nvd5kMik3N/eiY+Tk5Oill15SXl6eXFxcdOrUKeXk5Kh169aSpL59+8psNstsNis4OFjZ2dkKCwtT\namqqHnzwQUlSQECAbRbbno0bN6pfv35ycXFR9+7dtXz5ch06dEjXXHONJCksLEwtWrSw/f3zzz+X\nJKWmpqpPnz7y9vaWJN122236+eefJana823RooVt+VBVvTxw4IBcXFwUFRUlSerUqZOuuuoqZWZm\nKiAgQG5ubrrhhhtsdVX19U5OTtbOnTslnVuqFBMTI19fX9v2kizTRb8GAACYzWZ5/y5z1Cd3d/cK\n+Qa/WbNmjUpLSyWdm2w8nxHqS62C9Lhx4yo998033+inn36qk2Jqs+52+PDhOnjwoNLS0pSYmKib\nbrpJf/rTny76mvOztNK5Xwpq+rGj59dInz17Vi+++KJef/11xcbGSjr3g/P7u5ac/+JJ5z5Sfe/e\nvUpLS9Pzzz+vYcOG6cYbb9TChQu1e/dupaWl6Z133tGsWbNUXl6url27auLEiZXGz8vLq7K2xYsX\n64EHHrD9MjNy5MgKNVx4zlXdYcVksh8Wy8rKtGXLFpnNZn399deSpLNnz2rjxo166KGH7I5RVV9/\nP0Z153vh94K9Xl577bV2xznPzc3NNubFzj0qKqrSD1phYeFvn2xo/MM/AQCNhMViabBPG+STDSsz\nmUzy8fFRTExMg45bq/tI23PDDTfYAlZ98vLyUlFRke3x4cOHde2112rgwIG67bbb9Msvv8jT01Od\nO3fWRx99ZNuvJt9oGRkZmj17drX7eXh4aMyYMfrPf/6jffv2SZJatmypjIwMSedmh/fs2SPp3A/U\n0aNHFRISor/+9a/q3bu3MjIyVFBQoLNnz6pbt266//77dfXVV+vQoUOKiopSamqq9u/fX6Gu6pw+\nfdo2G7xlyxadPn262tdI52Z4N23aJOncOws7duywu9+OHTvUsmVLLVu2TImJiUpMTNTcuXO1detW\nlZWVVTtGUlKSiouLVV5eri+//NK2rTbnW1Uvg4KCZLVabZ+s+fPPP+vEiRMXvZAVAACgrtT6YsML\npaenV1ryUR/+/Oc/a9myZbaLDd977z1lZWXJ1dVVHh4eeuSRRySdW6u9YsUKPfnkkzKbzerZs2eV\nt3Q7Lycnx7ZmuzoBAQH6y1/+onfffVdPP/207rzzTi1evFiTJk3Stddeq9DQUEnn1lMvXbpUp06d\nkouLi/z8/DRu3Djl5uZq2bJlslgsslqt6tixo6KiouTq6qoJEyZo+fLlKikpUVlZmYKDg+3O2P7e\niBEjtHDhQjVp0kQRERFq3rx5jc5j5MiReuWVVxQbG6uAgIAqL2rctGlTpXXk11xzjQICAvTDDz9c\ndIwePXooIyNDU6ZMqXSxYatWrWp8vlX10tXVVU899ZRWrlyp1atXy83NTZMmTZKnpye/qQMAgHpn\nKi+v+fvWM2bMqPD2/JkzZ3TgwAHdfffd1YZVZ/b666/rpptuUqdOnRxdCpzEkSNHflvacThTRfET\nHFwRAMCZeUxfpLI2IQ0yFks7KjOZTAoMDGzwcWs1Ix0ZGVnhsZeXl9q3b1/horDL0fnZbAAAAKCm\nahSk9+3bp2+//dZ2P+bfW7t2rby9vVmXCgAAgEalRoubP/roI7Vq1crutqCgIP3zn/+s06IAAAAA\nZ1ejIJ2enm770JQL9ezZU+np6XVaFAAAAODsarS0o7Cw0PahGhfy8vJSYWFhnRYFOBOXps3kMX2R\no8twOmazucb3Ym9s6I199MU++lK1y6o3/gGOrgAOUKMg7enpqdzcXLu3VsvNza3xreOAy5Fbq9Yq\n9vatfsdGxpurxqtEb+yjL/bRl6rRGzi7Gi3t6Ny5sz755BO72z799FOFh4fXaVEAAACAs6vRjPQ9\n99yj//mf/9GpU6fUr18/NWvWTMePH9eWLVuUlJSkuXPn1nedAAAAgFOpUZBu06aNpk6dqtdee01b\ntmyxPR8YGKipU6eqTZs29VYgAAAA4Ixq/IEs4eHhWrx4sbKzs3Xy5En5+/tXeUs8AAAA4EpXq082\nlKRWrVoRoAEAANDo1ehiQwAAAAAVEaQBAAAAAwjSAAAAgAEEaQAAAMAAgjQAAABgAEEaAAAAMIAg\nDQAAABhAkAYAAAAMIEgDAAAABhCkAQAAAAMI0gAAAIABBGkAAADAAII0AAAAYICrowsAnF1p9mG5\n5uY4ugync9ZslqvF4ugynBK9sY++2EdfqnbZ9cY/QGX+TR1dBRoQQRqohjX/uM7OiXV0GQAAJ+cx\nfZFEkG5UWNoBAAAAGECQBgAAAAwgSAMAAAAGEKQBAAAAAwjSV7jx48crMzPzko5x4MABjR8/vtav\ny8nJ0YgRIyo9Hx0drdOnT0uSnn/+eWVlZUmS4uPj9d13311SrRc6ffq0NmzYUKfHBAAAkAjSuICl\ngW8zNHXqVAUFBdXLsS0WC0EaAADUG25/10icOHFCK1as0LFjx1RSUqKePXtq2LBhks7NWvfp00dp\naWkKDAzUhAkTtG7dOm3btk1eXl7q3r17hWMlJyfr/fffV0lJiVxcXPTAAw8oIiLCUF3jx49XXFyc\ngoODKzyfmJgok8mkrKwsFRYWKjQ0VKNHj5a7u7uKi4v15ptvav/+/SotLVVoaKhGjRolV1dXxcfH\nq02bNvr111/l7u4uV1dXFRcXKy4uTmazWfPmzTNUJwAAwIUI0o1EYmKi7r77bnXp0kUWi0Xz5s3T\nN998oz59+kiSTp06peeee04mk0k//vijkpKSNG/ePHl5eenll1+2Hefo0aNav369pk2bJm9vb2Vn\nZ2vGjBlKTEyUm5tbpXHPh1gjMjIyNHfuXHl4eGj+/Pn6+OOPdc8992j16tXq3Lmzxo4dq/Lyci1b\ntkyffvqp/vrXv0qSjhw5olmzZsnV1VU5OTmaPHmyEhISqhwnOTlZO3fulCS5ubkpJiZGvr6+tu0l\nWSZD9QMAGhez2SxvP796H8fd3V1+DTDO5WjNmjUqLS2VJHXr1k1RUVH1Oh5BuhE4c+aMUlNTdeLE\niQrPnV+bLEm33HKLTKZzgTE1NVV9+vSRt7e3JOm2227Tzz//LOlc6MzOztbMmTNtrzWZTMrNzVVg\nYGClsb28vCqF2Ojo6BrV3adPH3l5eUmSBgwYoM8++0z33HOPvv/+e6Wnp+vjjz+WJNvM+Hk333yz\nXF1r/q0dFRVV6QetsLBQ5eXlkiSP//4JAMDFWCwWFRQU1Ps4fn5+DTLO5cRkMsnHx0cxMTENOi5B\nuhGZO3eu3N3d7W7z9PSs8nXnA7YklZeXq2vXrpo4cWKl/VasWKGffvpJkvT4449f9JhGnK+jvLxc\nkyZNqnJtdV2PCwAAYA8XGzYCnp6eCg8Pr3DRXV5eno4fP253/8jISCUlJam4uFjl5eX68ssvbdui\noqKUmpqq/fv3257LyMiQJD388MNKSEhQQkKC2rRpc8l1JyUl6cyZM7Jardq8ebMiIyMlST179tSH\nH35ouzDy1KlTys7OtnsMb29vlZSUqKys7JLrAQAA+D1mpK9wFotFbm5umjBhgt58801NmjRJ0rlw\n/eijj6pZs2aVXtOjRw9lZGRoypQplS42bNWqlSZMmKDly5fbAmpwcLDdGepLFRISorlz56qgoECh\noaEaNGiQJGnEiBF6++23NXnyZJlMJpnNZj3wwANq1apVpWP4+PioX79+euqpp+Tp6cnFhgAAoM6Y\nystZAHqlys/P1xNPPKHly5fLw8PD0eXUSmJiooKDg23huaEdOXLktzXShzNVFD/BIXUAAC4fHtMX\nqaxNSL2Pwxrpykwmk91rteobM9JXqI8//lhffPGFHnzwwcsuRAMAAFwOCNJXqMGDB2vw4MGOLsMw\nI5+kCAAA0JC42BAAAAAwgCANAAAAGMDSDqAaLk2byWP6IkeX4XTMZrPtFoSoiN7YR1/soy9Vu+x6\n4x/g6ArQwAjSQDXcWrVWsbdv9Ts2Mt5cNV4lemMffbGPvlSN3sDZsbQDAAAAMIAgDQAAABhAkAYA\nAAAMIEgDAAAABhCkAQAAAAMI0gAAAIABBGkAAADAAII0AAAAYABBGgAAADCAIA0AAAAYQJAGAAAA\nDCBIAwAAAAYQpAEAAAADCNIAAACAAQRpAAAAwACCNAAAAGAAQRoAAAAwwNXRBQDOrjT7sFxzcxxd\nhtM5azbL1WJxdBlOid7YR1/soy9Vozf21bov/gEq829afwU1YgRpoBrW/OM6OyfW0WUAAGCIx/RF\nEkG6XrC0AwAAADCAIA0AAAAYQJAGAAAADCBIAwAAAAZwsaGDxMXFSZLKysqUlZWlNm3aSJKCgoIU\nG1t3F7Z9++23atasmTp06FBnx/y9lJQUzZ8/X4GBgZIki8WiwYMHa8CAAfUyHgAAgLMgSDtIQkKC\nJCknJ0eTJ0+2PbbHYrHIbDYbGufbb79VWFhYvQVpSbrmmms0b948SdKxY8c0ceJE9e3bV56enjU+\nhr1zvJTzBgAAqG8EaSeUkpKi1atXq127dsrMzNS9996rs2fP6rPPPpPFYlF5ebnuv/9+9ejRQ5I0\nffp0hYWF6ZdfflF+fr6ioqI0atQo7dixQ//5z3+0e/duffXVV7rjjjvUv39/bdiwQVu3bpUkBQcH\na9SoUfLy8tKYMWOUkJAgf39/LViwQIWFhZo1a5ZKSkr02GOPadmyZXJ1vfi3THFxsTw9PW37ffjh\nh0pKSrKF4lGjRtlC/dixY3XzzTdr165dat26tfr161fpvDt27Kjly5crJydH5eXlGjRokAYMGKAf\nf/xR//rXvzR16lSdOnVKo0aN0pgxYzRgwABt3LhRv/zyi8aMGaP169fr66+/lpubmyTp6aefVrNm\nzerrSwcAABoRgrSTOnjwoB555BF16tRJklRQUKCbb75ZJpNJR48e1TPPPKOlS5faAmtOTo7i4+NV\nWlqqJ554Qn/4wx90/fXXq3v37goLC9PAgQMlSTt27NDWrVs1Z84ceXl5aenSpVq7dq0efvhhhYeH\nKzU1VX379tXBgwfl4uKiM2fOaM+ePerQoUOVIfrQoUOKi4tTWVmZcnJyNGrUKNu+/fv315133ilJ\n2rNnj5YuXaqFCxfaXnv69Gk999xzMplMSklJqXTeCxYsUJs2bTR58mSdOHFCU6ZMUdu2bdWlSxe9\n/PLLKisr065duxQaGqrU1FQNGDBAKSkp6tWrlwoKCvTZZ5/p1Vdflbu7u86ePSsXFy4LAAAAdYMg\n7aQCAwNtYVI6F5Rffvll5eXlycXFRadOnVJubq5atWolSbrxxhvl4uIiDw8PtW3bVkePHrW7nON8\nUPb29pYk3X777VqyZIkkKTIyUikpKWrZsqXat28vb29v7d69W2lpaYqIiKiy1t8v7cjNzdX06dMV\nEhKitm3b6tdff9WGDRt06tQpubi46NChQyorK7MF7VtuuUUmk6nK805NTdXIkSMlSVdddZV69uyp\n1NRUhYSEqE2bNkpPT1dqaqruuecerVq1SlarVWlpaXr44YfVpEkTXX311VqyZIm6du2qHj16KCAg\noFL9ycnJ2rlzpyTJzc1NMTEx8vX1tW0vyTJVeg0AAJcLs9ksbz8/R5fRINasWaPS0lJJUrdu3RQV\nFVWv4xGkndSF64sXLVqk4cOHq1evXpKk4cOHq6SkxLb9/NIFSXJxcZGlhh8d+vsQ27VrV61fv16t\nWrVSZGSkvL29lZqaqrS0NI0bN07SubXdOTnnPi47Pj6+0vGaN2+ukJAQpaamKjAwUC+++KJmzZql\n9u3b69SpU3r44YcrBOkLz7O6ddW/rzcyMlKpqanas2ePhg8frqCgIG3dulVXXXWV/P77D8Zzzz2n\nn3/+Wbt379b//M//KDY2Vh07dqxwzKioqEo/aIWFhSovL5ckefz3TwAALkcWi0UFBQWOLqNemUwm\n+fj4KCYmpkHH5X3uy8Tp06fVokULSdLmzZtVXFxco9d5e3urqKjI9jgyMlLbt2+3vf6LL75Q165d\nJZ0Lwe7u7vrqq6/UtWtXRURE6Pvvv1d+fr7atm0r6dzdRhISEpSQkKAmTZrYrXPfvn0KCgpSSUmJ\nLBaLmjdvLkn67LPPan3ekZGR+uqrryRJJ0+e1Pfff6/IyEjbti1btsjf31/u7u7q2rWr1q1bZ9te\nVFSkgoICdenSRffee69CQ0OVmZlZ6xoAAADsYUb6MjFixAglJCTIx8dHkZGRdpco2NOvXz8tXbpU\n33zzje1iw0OHDumZZ56RJLVt21YPPfSQbf/zs7znw6+vr69CQkIqzARf6Pwaaenc7fz69+9vuxBy\n6NChmjp1qnx8fHTjjTfW+rwfeeQRLV++XE899ZTKy8s1dOhQhYSESJI6dOigU6dO6Y9//KOkczPq\nq1atsgXp06dPa/HixTpz5owk2S5oBAAAqAum8nLetwYudOTIkd+WdhzOVFH8BAdXBACAMR7TF6ms\nTYijy6hXJpPJ9pkWDYmlHQAAAIABBGkAAADAAII0AAAAYABBGgAAADCAiw0BO35/saFXUaFKc3Mc\nXJHzMZvNNb5feWNDb+yjL/bRl6rRG/tq3Rf/AJX5N62/gpyAoy425PZ3QDXcWrVWsbdv9Ts2Mt5+\nflf8Df6Nojf20Rf76EvV6I199MV5sLQDAAAAMIAgDQAAABhAkAYAAAAMIEgDAAAABhCkAQAAAAMI\n0gAAAIABBGkAAADAAII0AAAAYABBGgAAADCAIA0AAAAYQJAGAAAADCBIAwAAAAYQpAEAAAADCNIA\nAACAAQRpAAAAwACCNAAAAGAAQRoAAAAwwNXRBQDOrjT7sFxzcxxdhtM5azbL1WJxdBlOid7YR1/s\noy9Vozf2XfF98Q9QmX9TR1dRIwRpoBrW/OM6OyfW0WUAANAoeExfJF0mQZqlHQAAAIABBGkAAADA\nAII0AAAAYABBGgAAADCAiw0vI+vXr9fx48c1duxYSdKePXs0Y8YMzZw5U+Hh4ZKk5cuXy8/PTx98\n8IFWrlypJk2aVDrO888/r+HDhysoKEibN29WaGioWrduXataPv/8c3311VeSpNzcXHl4eMjX11eS\n9PDDD6tz586Xcqo2BQUF2rx5s/7617/WyfEAAADqCkH6MhIeHq6lS5faHu/atUuhoaFKS0uzBem0\ntDQ9+uij+uCDD6o8ztSp/7+9u42Lqs7/P/6a4UJUrhTyAk0xFZPUDE2x8gqLDN2s1TJoK7XVTWzL\nMsvVNHropknt8tgFtTJtpUwzNV21VlNcMy+zMMS1QjN2lUsFASGBOed/g3/n58WQMotCy/t5x5lz\n+TlvcfzM4XvO+YP1evv27TRp0qTGjfTQoUMZOnQoAH/5y18ICQmx3l/M4XDg5uZWo+3/pLi4mL//\n/e9qpEVERKTeUSP9CxISEkJBQQGnTp0iICCAw4cPM3LkSNavXw9AQUEB+fn5hISEAPCPf/yD/fv3\nU1RUxKhRoxg8eDAAkyZNYurUqRw9epSjR4/yt7/9jVWrVhEdHU1YWBjr169n9+7dGIaBr68vEyZM\n4LrrrqtRrTNmzKBz5858++23NG3alKlTpzJ//nxKSkooLy/nhhtuYMKECXh6epKamsr777/PDTfc\nQEZGBoZh8Pvf/57g4GDeeustSkpKmDp1Ko0aNWLOnDmcOHGCxYsXU1xcjN1u56GHHiIsLIxNmzaR\nnTSAMRUAABiMSURBVJ3NuHHjOHbsGNOmTSMuLo7Q0FCWL19O06ZNGTFiRO3+pYiIiEiDpTHSvyDu\n7u506dKF9PR0KioqyM3NJSwsjFOnTlFeXk56ejohISF4enoC4OHhwdy5c5k+fTpLly7FcdHN24cM\nGULHjh157LHHiI+PJywsjJ07d3Ly5En++Mc/8uqrr9K/f38WL17sUr25ubnMnj2bGTNm4O7uzuTJ\nk5k3bx6vv/46drudLVu2WMtmZmYSGRlJfHw8ERERfPDBBwCMHz8eb29v4uPjmTNnDgAJCQkMHDiQ\n1157jaeeeorExEROnz5Njx49SEtLA+Drr78mJCTEep+Wlkb37t1dOg4RERERZ3RG+hfmpptuIj09\nncDAQDp16gRgnfk9f4gHQP/+/QFo06YNbm5uFBYWEhAQ8LPb37dvH0ePHuWFF14AwDAMl2sdMGCA\nNaTDNE0++ugjDh48iGEYlJaWYpqmtWzbtm3p0KEDUHXmfdu2bU63WVRUxMmTJxk4cKC1XseOHfn2\n228JDw+ntLSU06dPk5aWRkxMDO+//z7Dhg0jLy+P4OBgp9tMTU3l4MGDQNWXj5iYGGu8N0D5SZvL\nGYiIiEjNuLm50cTX16V1ly9fTkVFBQA333wzPXv2rM3SLqFG+hfmpptuYtu2bQQGBhIaGgpAaGgo\n6enppKenExsbay3r4eFhvbbb7Zecka7O/fffz5133nnJ9BdffJFz587h4eHBK6+8ctnteHl5Wa+3\nb9/O0aNHmT17Nl5eXqxbt47vv//emv/TWfQrqdVmq76x7d69O19++SUFBQWEhoZSVlbGvn376Nq1\nK3a781/A9OzZ85J/aMXFxVaj3+i8hl9ERESuLofDQVFRUY3WsdlseHt7ExMTc5Wqck5DO35hOnbs\nyJkzZ9i5c6d19jk0NJRdu3ZRUFBgnaW+Uo0bN6a0tNR6f+utt7JlyxZKSkoAqKystBreOXPmEB8f\nf0VN9MXOnj2Lj48PXl5elJaWsmPHjiuu79y5c9aZcV9fX1q3bs1nn30GwIkTJzh27BhdunQBqhrp\ntWvXWu9DQ0NZvXq1hnWIiIhIrdMZ6V8Yd3d3brzxRn744QfrThtBQUGUlZVx44034u5es7/SO++8\nk2XLlrFx40aio6Pp378/xcXFvPzyy0DVt8LBgwdbwy5cNXjwYL766ismT56Mn58foaGhFBcXX3a9\n5s2b06dPH6ZMmULTpk2ZM2cOkydPZvHixaxfvx673c6kSZNo1qwZUNVIJyUlWY1zjx49+OSTT9RI\ni4iISK2zmaZ+by1ysaysrP8b2nHiOKVxT9VxRSIiIg1Do5l/prJdxxqtY7PZaN269VWqqHoa2iEi\nIiIi4gI10iIiIiIiLlAjLSIiIiLiAjXSIiIiIiIuUCMtIiIiIuIC3bVDxInz79rRuLSYivzcOq6o\n/nFzc7vih/w0NMrGOeXinHKpnrJx7n8+F7/mVPo1q9EqdXXXDt1HWuQyPFq1oayJz+UXbGCa+PrW\n+MlTDYWycU65OKdcqqdsnFMu9YeGdoiIiIiIuECNtIiIiIiIC9RIi4iIiIi4QI20iIiIiIgL1EiL\niIiIiLhAjbSIiIiIiAvUSIuIiIiIuECNtIiIiIiIC9RIi4iIiIi4QI20iIiIiIgL1EiLiIiIiLhA\njbSIiIiIiAvUSIuIiIiIuECNtIiIiIiIC9RIi4iIiIi4QI20iIiIiIgL1EiLiIiIiLjAva4LEKnv\nKrJP4J6fW9dl1Dvn3Nxwdzjquox6Sdk4p1ycUy7VUzbONchc/JpT6desrqu4hBppkcswCk5xbvYz\ndV2GiIhIg9Vo5p+hHjbSGtohIiIiIuICNdIiIiIiIi5QIy0iIiIi4gI10iIiIiIiLlAjLVds0qRJ\nHD9+HIDy8nLmz5/Pn/70JyorK392vaSkJDZu3FgrNaSnpzN16tRa2ZaIiIjIf0N37ZAaKysrY/78\n+bRq1Yrx48djt+v7mIiIiDQ8aqSlRoqLi3njjTfo1q0bDz/8sDU9Li6OqKgo+vTpA8Drr79Or169\nGDRo0AXrp6WlsWLFCioqKqisrGT48OFEREQAsHXrVjZs2IC7uzuGYfDEE0/QuXPnamvJzc3l+eef\nJyoqigMHDlBaWsrYsWMJCwsD4NtvvyU5OZkff/wR0zQZPXo0t956ay0nIiIiIg2VGmmpkYSEBIYM\nGUJMTIxL63fo0IHZs2djt9spKSnh+eef5+abbyYgIIBly5aRkJBAs2bNqKysvOyQEYDS0lLatWvH\ngw8+SGpqKkuXLiUsLIySkhLi4+N59tln6dq1K4ZhUFpa6nQbqampHDx4EAAPDw9iYmLw8fGx5pef\ntLl0rCIiIlI73NzcaOLre9nlli9fTkVFBQA333wzPXv2vKp1qZGWGrnlllvYs2cPkZGRBAYG1nj9\nkpISFi1aRFZWFna7neLiYv79738TEBBA9+7dSUxMpFevXvTs2ZOgoKDLbs/Dw4O+ffsCEBISQk5O\nDlB1NjooKIiuXbsCYLfb8fb2drqNnj17XvIPrbi4GNM0AWj0//8UERGRuuFwOCgqKqp2vs1mw9vb\n2+UTfa7S4FapkeHDhxMZGcnLL79Mfn6+Nd3NzQ3DMKz3P30bvNhbb73FjTfeyGuvvUZ8fDxBQUGU\nl5cDMGXKFGJiYqisrGTu3Ll8/vnnl63Hw8MDm63qjLHdbr+gBhEREZGrSY201Njw4cMZOnQocXFx\n5OXlAdCyZUsyMjKAqrHLR44ccbpuSUkJgYGB2Gw2Dh8+bN0FxOFwkJOTQ8eOHbn33nsJDw+3tueK\nkJAQsrKy+Ne//gWAYRiUlJS4vD0RERGRi2loh7hk2LBh2Gw24uLieOmllxgxYgQJCQlMmTKF66+/\nvtqLBB9++GEWL17M6tWrCQ4OtpYzDIOFCxdSUlKC3W7H19eX2NhYl+vz9vbmueeeIzk5mbKyMmw2\nG6NHj6Z3794ub1NERETkfDbT1ABQkYtlZWX93xjpE8cpjXuqjisSERFpuBrN/DOV7TpWO99ms9G6\ndetrWFEVDe0QEREREXGBGmkREREREReokRYRERERcYEaaRERERERF+hiQxEnzr/YsHFpMRX5uXVc\nUf3j5uaGw+Go6zLqJWXjnHJxTrlUT9k41yBz8WtOpV+zamfX1cWGuv2dyGV4tGpDWROfyy/YwDTx\n9f3Zp0w1ZMrGOeXinHKpnrJxTrnUHxraISIiIiLiAjXSIiIiIiIuUCMtIiIiIuICNdIiIiIiIi5Q\nIy0iIiIi4gI10iIiIiIiLlAjLSIiIiLiAt1HWsQJm832s++linKpnrJxTrk4p1yqp2ycUy4Xqqs8\n9GRDEREREREXaGiHyGUsX768rkuol5RL9ZSNc8rFOeVSPWXjnHJx7oMPPrjm+1QjLXIZFRUVdV1C\nvaRcqqdsnFMuzimX6ikb55SLc2VlZdd8n2qkRURERERc4BYXFxdX10WI1HetWrWq6xLqJeVSPWXj\nnHJxTrlUT9k4p1ycu9a56GJDEREREREXaGiHiIiIiIgL1EiLiIiIiLhAjbSIiIiIiAv0ZEORamRl\nZZGUlERxcTFNmjQhNjaW66+/vq7LqhXl5eUkJCRw4sQJPD098fX1Zfz48bRq1YozZ86QmJhITk4O\nHh4ePP7444SGhgJw7tw5Fi5cyNGjR7Hb7URHRxMeHg6AYRi88847fPXVVwAMGzaMoUOHWvtcvXo1\n27dvB+C2224jOjr62h50DaWkpLBw4UKee+45+vTpo1youuXWsmXLOHjwIB4eHrRv356nnnqqwWfz\n5ZdfsnLlSgzDwDAMfvWrXzFo0KAGmcuSJUs4cOAAeXl5zJ8/n+DgYIA6yWLbtm189NFHmKbJTTfd\nxG9/+1vc3eum7akulwULFvDNN9/g6emJl5cXjz32GJ06dQIadi4/OXToELNnz+bRRx9l2LBhQD3M\nxRQRp+Li4syUlBTTNE1z9+7d5rRp0+q2oFp07tw588CBA6ZhGKZpmubHH39svvTSS6ZpmmZSUpK5\ncuVK0zRN87vvvjN/97vfmRUVFaZpmuaqVavMxMRE0zRNMycnx3z88cfNoqIi0zRNc/v27ebLL79s\nOhwOs7i42Jw4caKZmZlpmqZppqenm88884xZVlZmlpeXmy+88IJ54MCBa3nINZKTk2POmDHDnD59\nurl3717TNJWLaZrm0qVLzbffftv6uSkoKDBNs2FnYxiGOWbMGPP48eOmaVYdY0xMjFlaWtogc0lP\nTzfz8/PN2NhY8/vvv7emX+sscnJyzAkTJpgFBQWmYRjmvHnzzI8//vhaxXCJ6nLZv3+/WVlZaZqm\naX7xxRdmbGysNa8h52Kapnn27Flz2rRp5ty5c80NGzZY0+tbLhraIeLEmTNnOHbsGP379wegb9++\n5Ofnk52dXceV1Q5PT0/CwsKw2WwAdO7cmby8PAB2795NZGQkAJ06daJZs2YcPnwYgF27dnHXXXcB\n0KJFC0JDQ9m3b581b8iQIdjtdry9vbntttv4/PPPrXkDBgzAy8sLDw8PBg8ezM6dO6/pMV8pwzB4\n4403GDduHB4eHtb0hp7Ljz/+SEpKCg899JD1c+Pv7w8oG5vNxtmzZ4GqB0J4e3vj4eHRIHMJDQ0l\nICDgkunXOos9e/bQq1cv/P39sdls3HXXXdZ6daG6XHr37o2bmxtQ9Tl8+vRpHA4H0LBzAXj77bcZ\nOXIkPj4+F0yvb7mokRZx4tSpU/j7+1sfcDabjcDAQPLz8+u4sqtj06ZN9O7dm+LiYhwOh9UgAVx3\n3XXWcefn53PddddZ81q0aFHtvIvXCwwMvGDeqVOnruoxuWrDhg106dKFG264wZqmXCAnJwdvb2/W\nrl3LtGnTmDVrFmlpaQ0+G5vNxuTJk3n99deJjY1l1qxZTJo0ibKysgady/nq4mfk57ZZX23atIlb\nbrnF+n+nIeeyZ88ebDYbvXv3vmRefctFjbRIA7dmzRqys7OJiYmp61LqXGZmJnv37uXXv/51XZdS\n7zgcDvLy8mjbti3z5s1j7NixJCQkWGfPGiqHw8GaNWuYMmUKCxYsYObMmSQmJjb4XKRmduzYwe7d\nu5kwYUJdl1LnCgsLWb16NWPHjq3rUq6IGmkRJwICAigsLLT+MzRN85Jvs/8L1q9fz759+5g+fTqN\nGjXCx8cHNzc3CgsLrWXy8vKs4w4MDLSGgADk5uZWO+/i9c7/dp+Xl1ftr/Pq0pEjR8jLy+Ppp59m\n0qRJfPfdd7z55pvs3r27QecCVbXabDZruFOHDh1o0aIFmZmZDTqb48ePU1BQYF0416lTJwICAhp8\nLueri8+Vn9tmfbNr1y4+/PBDZs6cecFZ+4aay7FjxygsLOT5559n0qRJ7Nmzhw8//JD3338fqH+5\nqJEWccLPz48OHTrw2WefAbB3714CAgL+px7JumHDBj7//HNefPFFmjZtak0PDw9n8+bNAGRkZHD6\n9GmrSQgPD2fLli1A1QfN4cOHufXWWwHo168fW7duxTAMSkpK2LVrF7fddps1b8eOHfz4449UVFSQ\nkpLC7bfffi0P94pERkby5ptvkpSURFJSEp07d2bChAlERkY26FwAfH196d69O6mpqUDVcebm5tK2\nbdsGnU1AQAAFBQX85z//ASA7O5vs7GyCgoIadC4Xu9ZZ9O3blwMHDlBYWIhpmmzZsqVe5rRr1y5W\nrFjBzJkzL2ncGmouYWFhvPXWW9bncHh4OKNGjbLusFHfctEjwkWqcfLkSZKSkigpKaFx48bExsbS\nrl27ui6rVpw6dYqJEyfSsmVLvLy8APDw8OCVV16hsLCQxMREcnNzcXd3Z9y4cXTr1g2ouuBs4cKF\nHDt2DLvdzujRo60PKcMwWLJkCampqdhsNu655x6ioqKsfX744YcX3HbolzCUJC4ujqioKPr06aNc\nqBonvWjRIoqKirDb7YwcOZLw8PAGn83OnTtZu3YtdrsdwzC4//77ueOOOxpkLm+++SZffvklhYWF\n+Pj44OXlxV//+tc6yeLTTz9l3bp1QNVFbePHj6+z27xVl0t0dDT+/v54e3tby86aNQsfH58Gncv5\nkpKSCA4Otm5/V99yUSMtIiIiIuICDe0QEREREXGBGmkREREREReokRYRERERcYEaaRERERERF6iR\nFhERERFxgRppEREREREXqJEWEZFfhISEBBYtWlTXZYiIWOrmDtwiIvKL9Mgjj1ivKysrMQwDT09P\na9r06dPp2rXrz24jNTWVefPmsWLFilqtLSEhgb179+Lu7o7NZsPf35+IiAjuu+++Wt2PiMhP1EiL\niMgVS05Otl6vWLGCI0eOEBcXV3cFXWTgwIE88cQTmKZJWloa8+bNo0WLFtaTz0REapMaaRERqVUO\nh4N169axfft2zpw5Q1BQENHR0fTo0YOTJ08SHx+PYRjW2e3Ro0czfPhw3nvvPfbs2UNhYSHe3t70\n7duXmJiYC854XymbzUaPHj1o3bo1GRkZFzTS27ZtY+PGjeTn5xMYGMiDDz5I3759qaysZOLEiYwb\nN45+/fpZy69Zs4b9+/czd+5cAPbv38+aNWvIysrCz8+PYcOGERkZCcCJEyd45plnePLJJ1m3bh15\neXm0b9+eiRMnEhQUBMCMGTMICwtj5MiR1j7Gjx/PI488woABAwDIzMzk3Xff5ejRo7i7u9O3b19+\n85vfuJSFiFw9GiMtIiK1at26dWzdupVnn32WJUuWcPfddzN37lwyMzMJCgpi6tSp2O12kpOTSU5O\nZvjw4QC0adOGuLg4li1bxrRp09i3bx/r1q1zqQbDMPjqq684efIkbdu2taZv3ryZNWvW8OSTT7J0\n6VLGjh1LYmIiGRkZuLu7M3DgQLZt22Ytb5omKSkpDBkyBKgalrJgwQIeeeQRlixZwjPPPMOqVavY\ns2fPBfvfuXMns2bNYvHixXh7e7N06dIrrr2goICXXnqJXr168cYbb/Dqq6/yww8/8O6777qUhYhc\nPWqkRUSkVn366afcd999BAcH4+bmxqBBg+jWrdsFDaozgwYNIiAgAJvNRvv27bnrrrv4+uuva7Tv\nHTt2MGbMGB5++GHmzp3LsGHDGDRokDV/48aNjBo1ig4dOmC32+nWrRt9+vThn//8JwARERGkpaWR\nn58PwKFDhygsLOT2228HYMOGDURFRREaGordbic4OJghQ4awffv2C+p48MEH8fPzw9PTk4EDB5KR\nkXHFx5CSkkJwcDB333037u7u+Pv7M2rUqEv2ISJ1T0M7RESk1pimyenTp2nZsuUF01u2bGk1p9X5\n5JNP2Lp1K/n5+RiGgcPhoHnz5jXa/4ABA3jiiScoLy9n1apVfP3111RUVNCoUSMMwyA7O5slS5bw\nzjvvWOs4HA569OgBQFBQEF26dCElJYUHHniArVu30q9fPxo3bgxAVlYW33zzDRs3brTWNwyD1q1b\nX1BHs2bNrNdeXl6UlZVd8TFkZ2fzzTffMGbMGGuaaZo4HA6Kiorw9fWtSSQichWpkRYRkVpjs9lo\n3rw5OTk5F0zPycmhTZs21jIXO3ToEMnJybz44ot07twZd3d31q5de9mz2NXx9PQkOjqaQ4cOsXr1\namJiYrDb7fj5+TFmzJifvfgwIiKCDz74gLvvvpv9+/cza9Ysa56/vz+RkZGMGDHCpbqgqrE+d+6c\n9b6iooKSkpIL9tG9e3f+8Ic/uLwPEbk2NLRDRERqVUREBB999BGZmZk4HA527NjBoUOHGDx4MFDV\nKP50dvgnpaWl2O12fH19cXNzIyMjg82bN/9XddjtdkaPHs2mTZs4deoUAFFRUaxatYpjx45hGAYV\nFRV89913HD9+3FqvX79+nD17lgULFtCyZUu6dOlizYuKimLjxo0cPnwYwzCorKzkhx9+4MiRI1dc\nV8eOHdm3bx+FhYWcO3eO5ORkTNO05kdERHDkyBE+/fRTysvLMU2T/Px8vvjii/8qDxGpfTojLSIi\nter+++8HID4+nqKiIoKCgnjhhRdo3749AO3bt+fOO+9kxowZOBwOHnjgAe655x4GDhzIzJkzcTgc\ndO3alUGDBrFz587/qpaePXvSoUMHVq5cSWxsLCNGjMDPz49FixaRm5uLm5sb7dq1Izo62lrH09OT\nO+64g82bN/Poo49esL3bb7+dRo0a8d5773Hy5Emg6iLJmtyr+t577+XEiRM8/fTTeHt7M3LkSHx8\nfKz5rVq1Ys6cOSxfvpyVK1dSXl5OQEAAAwYMoHfv3v9VHiJSu2zm+V+DRURERETkimhoh4iIiIiI\nC9RIi4iIiIi4QI20iIiIiIgL1EiLiIiIiLhAjbSIiIiIiAvUSIuIiIiIuECNtIiIiIiIC9RIi4iI\niIi4QI20iIiIiIgL1EiLiIiIiLjg/wFxTIXYPm1q3wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1101c98d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "top_10.plot(x='Name', y='Sales', kind='barh', ax=ax)\n",
    "ax.set_xlim([-1000, 140000])\n",
    "ax.set_xlabel('Total Revenue')\n",
    "ax.set_ylabel('Customer');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.text.Text at 0x10fe01400>,\n",
       " (-10000, 140000),\n",
       " <matplotlib.text.Text at 0x1103a0f28>,\n",
       " <matplotlib.text.Text at 0x10fe26278>]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KSoo+/PBD5efny2w2a8CAAerSpYsyMjI0fvx49ejRQwcOHJDZbNbjjz+udu3a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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1102fa978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "top_10.plot(x='Name', y='Sales', kind='barh', ax=ax)\n",
    "ax.set(title='2014 Revenue', xlabel='Total Revenue', ylabel='Customer', xlim=[-10000, 140000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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iEREREcOpYIiIiIjhVDBERETEcCoYIiIiYjgVDDkja9as4ZVXXrF/vX37dkaP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\n3rBAaZM4PQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1101e3a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(5,6))\n",
    "top_10.plot(x='Name', y='Sales', kind='barh', ax=ax)\n",
    "ax.set(title='2014 Revenue', xlabel='Total Revenue', ylabel='Customer', xlim=[-10000, 140000])\n",
    "ax.legend().set_visible(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def currency(x, pos):\n",
    "    if x >= 1000000:\n",
    "        return '${:1.1f}M'.format(x*1e-6)\n",
    "    return '${:1.0f}K'.format(x*1e-3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JPlxCH+zogx19gCuwbAMAAAAwiPAMAAAAGER4BgAAAAwiPAMAAAAGEZ4BAAAA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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1100eeda0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "top_10.plot(x='Name', y='Sales', kind='barh', ax=ax)\n",
    "ax.set_xlim([-10000, 140000])\n",
    "ax.set_title('2014 Revenue')\n",
    "ax.set_xlabel('Total Revenue')\n",
    "ax.set_ylabel('Customer')\n",
    "formatter = FuncFormatter(currency)\n",
    "ax.xaxis.set_major_formatter(formatter)\n",
    "ax.legend().set_visible(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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DmTZt2nVvGDx27BgffPABYH/HV6tWLf70pz8B9keFZmZm8uqrrzrujp06dWoZ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\ns4iIiIiIk/4fjvKwqj8ptK0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110361c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "top_10.plot(x='Name', y='Sales', kind='barh', ax=ax)\n",
    "ave = top_10.Sales.mean()\n",
    "ax.set_xlim([-10000, 140000])\n",
    "ax.set(title='2014 Revenue', xlabel='Total Revenue', ylabel='Customer')\n",
    "ax.axvline(x=ave, c='b', label='Average', ls='--', lw=1)\n",
    "for cus in [3, 5, 8]:\n",
    "    ax.text(118000, cus, 'New Customer')\n",
    "formatter = FuncFormatter(currency)\n",
    "ax.xaxis.set_major_formatter(formatter)\n",
    "ax.legend().set_visible(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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/32k5V1ReXh4xMTF212VnZ7NgwQJiY2N56aWXiI2NZefOneUeLykpibi4uCrn\nVd5rfm3Oq1evxmKxVDmmEEIIUdvU2B7FcePGERoaWuZ6q9WKTqdzSqzWrVszbpxzepKee+45pxzH\nFVatWkVAQABvvvkmGo2G3NxcLl686JLYjrzmn3/+Offeey96vb6asxJCCCFqlhpbKNqTkJCARqPh\n3LlzXLp0ifnz57NgwQJSU1MpLCykbt26PP/889SpU4f09HQmTJhA3759+fnnn8nNzWXkyJHs2bOH\npKQkbDYbY8eOpXnz5iQlJfH+++8zZ86cKucYHx9P//796dKlS5nbJCcn895772Gz2bDZbNxzzz30\n6dOnxDZWq5XXX38ds9mMxWKhRYsWPPvss/j4+JCUlMTy5cu56aabOHLkCFarlVGjRtG6dWsANm3a\nxLp16/Dx8Sk3jwsXLtCuXTs0Gg0Avr6++Pr6quvXrl3Ljh070Gq16PV6pk6dCoDNZmPZsmWlYlfl\nNS8r56VLlwIwdepUtFot//znPwkMDHTkv0QIt8nPh4ULTYwebcZgcHc2QojaqMYWivPmzVN7kB56\n6CG1eDh+/DjTp09XC5phw4YREBAAFBU2q1evZsSIEQDk5OTQqlUrBg8ezJYtW5g5cyYTJ05k2LBh\n/Oc//+Hzzz9n/PjxDudWXLQUy8zMdGj/tWvXct9999GjRw8Arly5UmobrVbLmDFjMJlMKIrCsmXL\n+Prrr/n73/8OwJkzZ3juued4+umn+d///seqVauYPHkyJ0+eZPXq1bzxxhsEBQXxySeflJlH//79\neeutt9i1axdhYWFER0dzyy23ALBt2za+//57ZsyYgdFo5MqVK3h7e5cbGyr3mpeX84gRI9i8eTPT\np0/Hz8/PoddZCHezWDS89ZaJESOuYDAo7k5HCFEL1dhCsayh527dupXo9dq5cyfbt2+noKAAi8Wi\nFo0A3t7eaoHZqlUrfHx8iIyMBKBNmzbs2LGjUrldW7SMGjXKof0jIiL44osvSEtLIzIykvDw8FLb\nKIrChg0b2LdvH1arlZycHNq1a6eub9SoEW3btgUgLCyMdevWAXDo0CE6depEUFDRBb59+vRh7dq1\ndvOIjIxk0aJF/PLLLyQnJ7N06VI6d+7M008/zb59+7j77rsxGo0A+Pv7Xzc2VO41dyRnexITE9m/\nfz/nz5/n8uXLTJ8+HZPJVOH9i1lSNQ7vI2oPnU6H8arfL44wmUzY21Wv15f4nVXdpk6dSkBAAPXr\n1ycqKorPHnMhAAAgAElEQVTo6GiXxb6avTYrhKOq0iah/PZnMpmw22hdyFnttcYWimXx8fFRvz98\n+DD//e9/efXVVwkMDGTv3r189tln6vriHjBAHT69+mebzeaapK9x77330rlzZw4cOMCnn35Ks2bN\nePrpp0tss3PnTg4dOkR8fDxGo5GNGzeqk2Sg9LmVdS7Fw8pl8fHx4eabb1a/Zs6cWSqXa5UX2xmv\n+fVyvlZ0dHSpBmQ2m1EUx3pwDA5uL2oXq9XK5cuXHdrHbNYA/pjNZqD0+ysgIMDhY1aGRqPB39/f\nYwoye21WCEdVpk1ezV7705jN+PPHZ0gV86ssZ7fXGjnruaKuXLmCj48PJpOJwsJCNm3a5JTjTp8+\nnaNHjzrlWPakpqbSoEEDevfuzQMPPMBvv/1Wapvs7GxMJhNGo5Hc3Fy+/fbbCh07MjKSxMREdVJK\nea/J/v37Swx7Hzt2jIYNGwJw6623smnTJnJyctR8qquwvl7Ovr6+ah5CCCGEqLha16N4tejoaHbs\n2MHYsWMxmUx06NDB4esFr2Wz2Thx4gTBwcFOyrK0r7/+mkOHDuHl5YVWq+Xxxx8vtc0dd9zB3r17\nGTt2LAEBAYSHh3P+/PUfBda8eXMeeughpk6det3JLCdPnuTDDz8Eiv6CCQoK4oUXXgDgr3/9K5mZ\nmfzzn/9Ep9NhMBiYMmVKJc+4ajkPGDCAV199Fb1eL5NZhBBCCAdoFEfH10S5jh49yubNm2+o29yI\n0s6ePev40POZFHLix1RTRuJGZ5gyj8LmrR3ax2zWEB4ewuHDZzGZ3Dv0HBISUu1xquL0oDvkhtvC\nIZVpk1cra+g5JDycs4cPo1TiWndncHZ7rdU9itWhTZs2tGnTxt1pCCFqAKNRYcuWdIxG+XteCOEe\nUigK4STaoLpFj4SqZjqdDqsLns3qqjiujOXWOIGOX46i00G7doVOyqpmM0yc5bHPenZlW3KUJ+cG\n1ZxfJdpkbSSFohBO4t2oCbnG6h9qMLpouNFVcVwZq6bFEX8qbNrS4ctFXMWT3w+enBt4fn61Qa2e\n9SyEEEIIIcomhaIQQgghhLBLCkUhhBBCCGGXFIpCCOGhrFY4csQLD55rIISo4aRQFEIID5WTo+HO\nOxuQkyPPERdCuIcUikIIIYQQwi4pFIUQQgghhF1SKAohhBBCCLukUBRCCCGEEHZJoSiEEEIIIeyS\nQlEIITyUXq8wfrwZvd4zH00nhKj55FnPQjhJQdoZvDLSqz1Ovk6HlwturOeqOK6M5dY4gcEUBgY5\ndByDAWJjzU7MrObyOn0cxUNvOOnKtuQoT84NPDu/UrkFBmPV1ryyquadkRBuYsu6QP6Mce5OQ3go\nw5R54GChKCouf/YklNxsd6chajHDlHkQ1MDdaTidDD0LIYQQQgi7pFAUpYwaNYqUlBQALBYLb7zx\nBm+99RaFhYVuzWv16tW8//77pZanpKTw3XfflbvvU089RXp69Q8LCyGEEDWJFIqiTLm5ucyaNYvA\nwEBefPFFvLw880qFihSKQgghhHCcZ37yC7czm80sWbKEyMhIHnvsMXV5Wloa7777LpcuXUKj0fDQ\nQw/RpUsXAI4ePcrHH39Mbm4uNpuNBx54gO7du5Oens6ECRO48847OXDgADabjWHDhtGxY8dy11XE\npUuX+Oyzz8jJySEuLo62bdsyYsQI9u7dy8cff4xOpyM6OrpaXiMhhBCippNCUdg1f/587rrrLh59\n9NESyxcsWECvXr24++67OXv2LJMnT6Zly5YYjUaWLl3KpEmTCAoK4vLly0ycOJF27doBkJOTQ9Om\nTXniiSdITk7mjTfe4O233y53na+v73XzDAwM5OGHH+aHH35gwoQJQFHxuGjRIqZPn07Tpk3ZvHkz\nZrPMHBU3nuxsDQMG1GP9+gz8/OQWOUII15NCUdjVqVMn9uzZQ58+fahXrx5QNBR9/PhxZsyYAUBI\nSAjh4eH8+uuv+Pv7c+7cOV577bUSx0lNTaVBgwbodDp69uwJQFhYGEFBQRw/fpx69eqVua59+/aV\nyv23336jRYsWNG3aFIA777yT5cuXl7l9YmIi+/fvB8Db25tHH30Uk8nkcFxLqqZS+YraQafTYQwI\ncHi/5GRv/PxM2NtVr9cTUIljVtYnn3xCQUEBAFFRUW7rrbfXZoVwN51Oh/GPzw6TyYTdRutCzmqv\nUigKuwYMGMChQ4d45ZVXmDZtmloslqdZs2a8+uqrpZaXNYlEoym7sCpvnbNFR0eXakBmsxlFcawH\nx+Dg9qJ2sVqtXL582aF9zGYN4P9Hj3jp91dAQIDDx6wMjUaDv7+/xxRk9tqsEO5mtVoxm83488dn\niJvycHZ7lcksokwDBgygb9++xMfHc/78eXx9fWnZsiVbt24Fiq5XPHLkCO3btycsLIz09HQOHDig\n7p+SkqLOlLZarWzfvh0oupYxKyuL0NDQ666rCF9fX3Jzc9Wfw8LCOHHiBGfOnAFg69atbp+xLYQQ\nQtyIpEdRlOvee+9Fo9EQHx/PtGnTGDNmDO+++y7ffPMNAM8++6za2/jyyy+zcuVKVq5cSWFhIfXq\n1SMuLg4Ao9HIyZMniYuLw2q1MmbMGHx9fTGbzWWus2fLli3s2bNH/XnAgAHceeedrFu3jpdeeomw\nsDBGjBjB888/z5tvvomXlxdRUVGVGkoWQgghajuN4uj4mhAOKp7ZbO8eiOWtc6ezZ886PvR8JoWc\n+DHVlJG40RmmzKOweWuH9jGbNYSHh3D48FlMJvcOPYeEhFR7nKo4PegOeTKLcCvDlHlYgxoQEh7O\n2cOHUdzUQeHs9ipDz0II4aG0WggLK0Arv6mFEG4iPYpC2FGZHkXfHDMFGdX/9BedTof16gfR3+Bx\nXBnLrXECgyl08rOepUfxT+d/3IXiovero1zZlhzlybmBZ+dXKrfAYKxarxrXoyjXKArhJN6NmpBr\nrP5fDEYXFQeuiuPKWDUtjvhTYdOWDv9x5yqe/H7w5NzAs/Ozl5umBt6zVwY0hBBCCCGEXVIoCiGE\nEEIIu6RQFEIIIYQQdkmhKIQQQggh7JJCUQghPFR+PsydayI/392ZCCFqKykUhRDCQ1ksGt56y4TF\n4rpnnwshxNWkUBRCCCGEEHZJoSiEEEIIIeySQlEIIYQQQtglhaIQQgghhLBLCkUhhBBCCGGXPOtZ\nCCcpSDuDV0Z6tcfJ1+nwuvpB9Dd4HFfGcnucwGAKA4MqfByjUWHLlnSMRs98hrEn8Tp9HMVF71dH\nubItOcqTcwMX5+dg+6wtpFAUwklsWRfInzHO3WkID2aYMg8c+CDS6aBdu8JqzKjmyJ89CSU3291p\niBuYo+2ztpChZ1Ela9asYfHixerPhw8fJiYmhqSkJHXZ0qVLWbVqFQBxcXHk5uYCMGrUKFJSUgCI\nj4/nhx9+sBsjJiaG7OzSHwDl7XPgwAGmTp3KCy+8wMsvv8z06dP59ddfK3WOQgghRG0lPYqiSiIi\nInjnnXfUnw8dOkTbtm1JSkoiIiICgKSkJJ555hkA5syZU+05HThwgIULFxIbG0u7du0AOHv2LCdO\nnKj22EIIIURNIj2KokrCwsLIysriwoULAPzyyy8MHDiQX375BYCsrCwyMjIICwsDyu4ddKbPP/+c\ngQMHqkUiQEhICN26davWuEIIIURNI4WiqBIvLy/atWtHUlISBQUFpKenc/PNN3PhwgUsFgtJSUmE\nhYWh1+tdltOxY8fUwlQIIYQQlSdDz6LKIiIiSEpKol69erRp0waAtm3bkpycXGII2lMlJiayf/9+\nzp8/z+XLl5k+fTomk8nh41hS5Xm8onw6nQ5jQECFt7daITlZS1iYDZ2u9Hq9Xk+AA8erqqlTpxIQ\nEED9+vWJiooiOjraZbGvZq/NClFVjrbP8tqfyWQCF7ZNe5zVXqVQFFUWERHBli1bqFevHu3btweg\nffv2JCUlkZSUxMiRI12aT6tWrUhOTqZly5YV2j46OrpUAzKbzSiKY7ckMTi4vah9rFYrly9frvD2\nZrOGLl1COHz4LCZT6fdXQECAQ8erLI1Gg7+/v8cUZPbarBBV5Wj7tNf+NGYz/vzxGeLk/CrK2e1V\nhp5FlbVu3ZpLly6xc+dOtfewffv27Nq1i6ysLLWX0VUGDhzIl19+SXJysrosLS2NPXv2uDQPIYQQ\n4kYnPYqiyry8vAgPD+fEiRM0adIEgMaNG5Obm0t4eDheXlV/m40fPx6N5s+h3eJb8ixZsoTly5eX\n2C4qKornn3+elStXcvHiRfR6PYGBgcTExFQ5DyGEEKI20SiOjq8JUQucPXvW8aHnMynkxI+ppoxE\nTWCYMo/C5q0rvL3ZrCE83DOGnkNCQqo9TlWcHnSH3HBbVImj7bOsoeeQ8HDOHj6MUolr3Z3B2e3V\noaHns2fPqi9KXl4eq1atYs2aNVgsFqclJIQQQgghPINDheKCBQvIysoCYNWqVfz444/88MMPfPjh\nh9WSnBBCCCGEcB+HLh5LS0ujWbNmAHz//ffEx8fj4+PDhAkTePrpp6slQSFuFNqgukXPCq1mOp0O\nq9VaY+K4Mpbb4wQGO3QcvV5h/Hgzer1cIXQ9homzUFz0fnWUK9uSozw5N3Bxfg62z9rC4VkGGo2G\nc+fOodVqadiwIYD67F4hajPvRk3INVb/NSlGF12X5qo4rox1o8UxGCA21uyEjGq+wqYtHb6u2FVc\n2ZYc5cm5gefnVxs4VCi2aNGCL7/8koyMDDp27AhAZmYmvr6+1ZKcEEIIIYRwH4euURw+fDiJiYmc\nO3eOgQMHAnDgwAG1aBRCCCGEEDVHhXsUCwsLOXPmDFOmTCnx3N6ePXvSs2fP6shNCCGEEEK4UYV7\nFL28vFi8eHGJIlEIIYQQQtRcDg09t2jRgtTU1OrKRQghhBBCeBCHJrN069aNOXPmMGDAAOrXr49W\n+2edGRkZ6fTkhBCiNsvO1jBgQD3Wr8/Az88zZ/QKIWo2hwrF4htrL126tNS6zz77zDkZCSGEAMBm\ng+Rkb2w2d2cihKitHCoUpRgUQgghhKg9HLpGUQghhBBC1B4O9SjabDa++uortm7dyqVLl/jggw9I\nTEwkIyOD3r17V1eOQgghhBDCDRwqFNesWcNPP/1ETEwMy5YtA6BRo0Z8+umnUiiKWq8g7QxeGenV\nHidfp8PLBc8+dVUcV8by6DiBwRQGBlVPQrWA1+njHvusZ1e2JUd5cm7g2fmVyi0wGKvW4ScjezyH\nzmj79u288sor1KtXj/feew+ABg0akJ5e/R+OQng6W9YF8meMc3ca4gZlmDIPrikUtVoICytAKxcJ\nXVf+7EkoudnuTkPUYoYp8yCogbvTcDqHCsW8vDzq1q1bYpnNZkOn0zk1KSGEEODnp7B163l3pyGE\nqMUcKhSbN2/Onj176N69u7ps7969tGzZ0umJCdcYNWoUXl5e6PV6CgsLCQ0N5dlnn8XHx8fhY23Y\nsIHbb7+dOnXqODXHmJgYVqxYgZ+fX4nl8fHx9O/fny5dupTa58CBA3z++edkZWXh5+eH0WjkoYce\n4qabbnJqbkIIIURN5lCh+OijjzJjxgx+/PFHCgoKWLx4MXv27OGf//xndeUnXGDcuHGEhoZis9mY\nPXs227Zto2/fvhXe3/bHTd42btxIRESE0wtFRx04cICFCxcSGxtLu3btADh79iwnTpxwa15CCCHE\njcahQrFt27a8/vrrfPPNN0RERGCz2ZgyZQqtW7eurvyECxUWFmKxWPD39wfg5MmTvPvuu1gsFiwW\nCz169GDgwIEArF69mpMnT5Kfn09GRga33XYbmZmZzJs3D71ez6hRo2jUqBHLly/n999/B4qe7PPQ\nQw8BRb2BrVq14ujRo2RlZdGhQwdGjBjhlPP4/PPPGThwoFokAoSEhBASEuKU4wshhBC1hcPTcxo3\nbszw4cOrIxfhJsXF3fnz52nVqpV6aUH9+vWZOnUq3t7eWCwW/vnPf9KhQwfCwsIA+O2335g9e7ba\ng7ht2za1dxLgo48+orCwkDlz5mCxWJg6dSpNmjThtttuA+DcuXNMmzYNq9XKuHHjSE5OVo9dFceO\nHZP3qBBCCOEEDheKmZmZHDt2jLy8vBLLe/To4bSkhGsVF3dWq5WlS5fy8ccf88QTT2CxWFi2bBkp\nKSlotVoyMjJISUlRi7lOnTqVO8x88OBBnnjiCbRaLT4+Pvz1r3/lwIEDaqF42223odPp0Ol0hIaG\nkpaW5pRC0VGJiYns378fAG9vbx599FFMJpPDx7GkapydmqhFdDodxoAAh/bR6/UEOLhPVXzyyScU\nFBQAEBUVRXR0tMtiX81emxXC3XQ6HcY/PjtMJhO4sG3a46z26lChuHnzZt577z30ej0Gg0FdrtFo\npFCsAXQ6HV27duWjjz7iiSee4NNPP8VkMvHGG2+g0+l488031Tcd4PCEF42mZCHl7e2tfq/VatVr\nHauqVatWJCcnV3iSVXR0dKkGZDabURTFobgGB7cX4mpWq5XLly+XWJafDwsXmhg92sxVv3JVAQEB\npfapDhqNBn9/f48pyOy1WSHczWq1Yjab8eePzxA35eHs9urwDbfHjh1Lt27dnBJceJ5Dhw7RuHFj\nAK5cuUKTJk3Q6XSkpqZy4MCBcmcN+/r6kpOTo/7coUMHtmzZQvv27cnPz2f79u3cf//91X4OAwcO\nZNGiRbRs2VLtoUxLSyMlJUXeu+KGYrFoeOstEyNGXMFgkD9EhBCu51ChWFhYSNeuXasrF+Emxdco\n2mw26tWrxzPPPAMUFVwLFy7k22+/pWHDhkRGRpZ7nH79+rFkyRJ1MsugQYNYvnw5L730ElA0maV4\n2NlR48ePL9EjuXjxYgCWLFnC8uXLS2wXFRXF888/z8qVK7l48SJ6vZ7AwEBiYmIqFVsIIYSorTSK\nA+Nry5YtIyoqis6dO1dnTkK43dmzZx0fej6TQk78mGrKSNR0hinzKGxe8g4SZrOG8PAQDh8+i8lU\n+v3oyqFnT79rwOlBd8iTWYRbGabMwxrUgJDwcM4ePoxSiWvdncHZ7dWhHsUhQ4YwefJkNm3aVGoS\nw8iRI52WlBBCCCGEcD+HCsXly5eTlZVFSEgIVg99SLcQ7qINqlv0rM9qptPpXNL+XBXHlbE8Ok5g\ncPUkU0sYJs5C8dDPJVe2JUd5cm7g2fmVyq2GtmGHCsU9e/bw5ptv0qBBzXvotRBV5d2oCbnG6h9q\nMLpouNFVcVwZq6bFEX8qbNrS4ctFXMWT3w+enBt4dn72ctOYzW7KpvpoHdnYZDIRHFwzK2YhhPA0\nRqPCli3pGI2eWQAJIWo+hwrF+++/n1WrVjntfndCCCHKptNBu3aF6HTuzkQIUVs5NPT873//m4sX\nL/L111+XenLFO++849TEhBBCCCGEezlUKD788MPVlYcQQgghhPAwDhWKPXv2rKY0hBBCCCGEp3Go\nUATIzMxkx44dZGRkUK9ePf7yl7/IBBchhBBCiBrIocksR48eZdy4cezcuZOLFy/y3XffMW7cOI4e\nPVpd+QkhRK1ltcKRI1546G3khBC1gEM9iitXruShhx5iwIAB6rL169ezcuVKXnnlFacnJ4QQtVlO\njoY772xQ5iP8hBCiujnUo3jq1Cn69etXYlnfvn05efKkU5MSQgghhBDu51ChaDQauXDhQollmZmZ\nGI1GpyYlhBBCCCHcz6Gh527dujFnzhwGDx5Mw4YNSUtLY/Xq1XTv3r268hNCCCGEEG7i8H0ULRYL\n8+fPx2Kx4O3tTa9evYiJiamu/IS4YRSkncErI73a4+TrdHi5YHaDq+K4MtYNEycwmMLAIOclVAt4\nnT6O4qGzflzZlhzlybmBZ+en5lbD26tDhaK3tzdPPvkkw4cPx2w2YzKZ0Gg01ZWbEDcUW9YF8meM\nc3caogYwTJkHNfiDpzrkz56Ekpvt7jRELVTT26tD1yjOmjULAI1GQ0BAgFokzp49u8LHGDVqFGPH\njiUuLo64uDgWL15c5rZxcXHk5uYCsGHDBi5evOhIuiUkJCSwYcMGh/fbtm0bQ4cOJS4ujtjYWF55\n5RVSU1MrnUdlJCUlERcXV60xPvzwQ1avXl3m+tzcXB5//PEqParx5MmTjBo1qtL7C1Hb6PUK48eb\n0etlxrMQwj0c6lE8fPiwQ8vLMm7cOEJDQ8tcb7Va0el0zJkzR122ceNGIiIiqFOnjkOxnCEiIoIJ\nEyYARQXVBx98wKRJk1yehzvt2rWLVq1a8cMPPzB8+HB8fHxcFrv4/SBEbWMwQGys2d1pCCFqsQoV\niocOHQLAZrOp3xdLTU3F19e3yokkJCSg0Wg4d+4cly5dYv78+cTExLBixQr++9//kpmZybx589Dr\n9YwaNYqMjAxWrVqFRqPBZrMxePBgOnfuTGZmJitWrCA1NRWNRsOtt97K4MGDAThz5gzTp0/nwoUL\nNGvWjBdffBEvL8ceTtOhQwcSExPVn+Pj4+nfvz9dunQBYO7cudxyyy307NmT//u//2P9+vV4eXlh\ns9l47rnnaN26NStWrODQoUN4eXmh1WqZMWMGer2exMREvvjiCywWC1qtlscee4zIyMhy89m5cycb\nN26ksLAQRVF4+OGHufXWW9XcWrVqxdGjR8nKyqJDhw6MGDECgKysLBYtWkRGRgbBwcGYTCYaN25c\nZpwtW7YwcOBANm/ezK5du7jzzjuBoh7XHTt2YDKZOHXqFN7e3owbN46GDRsCsHr1anbu3Imvry+d\nOnUqccyyzjcpKYn33nuPtm3bcuzYMR588EFycnJKvZZt27bl999/Z8WKFeTl5eHt7c3QoUMJDw8n\nPT2dCRMm0L9/f3766SdycnIYPnw4N998s0P/30IIIURtVqEqacaMGXa/BwgKCuLRRx91KGhxwQfw\n0EMPqUXW8ePHmT59eqnCc9CgQWzdurVET2RCQgIjRowgLCwMm82mDlG//fbbdOzYkdjYWAAuX76s\nHiclJYVp06bh7e3NtGnT2LNnDz169Khw3jabjR9++IHbbrutQtt/+OGHzJ8/n6CgIAoLCyksLOTE\niRMcOnSIuXPnotVqycnJwcvLi3PnzrFmzRomT56M0WgkLS2NqVOnkpCQUG6MqKgobr/9djQaDenp\n6UyePJmoqCi8vb0BOHfuHNOmTcNqtTJu3DiSk5MJCwtjxYoVtG7dmsmTJ5OZmUlcXFyZheLp06e5\ncOEC0dHR2Gw21q5dqxaKUPTEnjlz5tCgQQM+/vhjvvrqK0aMGMG+ffvYs2cPr7/+Or6+vrz99tvq\nPtc73zNnzvD000/z/PPPAzB06NBSr2VhYSFvvvkmzz77LNHR0Rw+fJi5c+eqcXJycmjevDkxMTEk\nJiayYsUKKRSFEEIIB1SoUPzss88AiI2NZe7cuVUOWtbQc7du3SrcOxkZGcmKFSvo1q0bUVFRhIaG\nkpeXx+HDh5k8ebK6XUBAgPp9ly5dMBgMALRu3Zpz585VKFbxNYIZGRn4+/vz2muvVWi/Dh06sHDh\nQm655Raio6Np3LgxDRs2xGq18s477xAREcHNN9+MVqslMTGRtLQ0pk2bpu6v0WjIyMgoN0Z6ejoL\nFiwgMzMTrVbLlStXSE9Pp0mTJgDcdttt6HQ6dDodoaGhpKWlERYWxsGDB3n88ccBCA4OVnsh7dmy\nZQt//etf0Wq1dOrUiaVLl3L69GmaNm0KQFhYGA0aNFC///rrrwE4ePAg3bt3V++zeffdd3PkyBGA\n655vgwYNaN++fbmv5cmTJ9FqtURHRwMQHh5OnTp1SElJITg4GG9vb7p27armVdb/d2JiIvv37+f8\n+fNcvnyZ6dOnYzKZyn3d7bGkysQu4Rw6nQ7jVb+7yqLX60v8jqtuU6dOJSAggPr16xMVFaW2PVez\n12aFcBd77dVkMoEL26Y9zmqvDo27Xlsk5uXlodVq1d7BqnLkurehQ4dy6tQpkpKSSEhIoEePHtxz\nzz3l7lPcywag1WqxVnDKffE1ivn5+bz11lssW7aMceOKZrfqdDpsNpu6bUFBgfp9bGwsx44dIykp\niVmzZjF48GBuv/125s6dyy+//EJSUhKffvopr7zyCoqi0LFjR8aOHVsqfmZmZpm5zZ8/n8cee4xu\n3boBMHz48BI5XHvOV+d6tbJmrxcWFrJ9+3Z0Oh3fffcdAPn5+WzZsoUnnnjCboyyXterY1zvfK99\nL9h7LZs1a2Y3TjFvb281ZnnnHh0dXaoBmc1mFMWxCQQGB7cXoixWq7XEaEhZAgICKrRdVWk0Gvz9\n/T2mILPXZoVwl6vbq8Zsxp8/PkPclI+z26tDs55XrVrFb7/9BsCBAwd46qmneOqppzhw4IBTkimP\nr68vOTk56s9nzpyhWbNm9O3bl7vvvpvffvsNHx8fbrrpJtatW6duV5FfokePHq3QC2owGHj22Wf5\n+eefOX78OAANGzbk6NGjQFHvXvHEHqvVyrlz52jdujV/+9vf6NatG0ePHuXy5cvk5+cTFRXFI488\nQv369Tl9+jTR0dEcPHiQEydOlMjrerKzs9XevO3bt5OdXbHbQ3To0IGtW7cCRdcr7t271+52e/fu\npWHDhixZsoSEhAQSEhKYOXMmO3bsoLCw8Lox9uzZQ25uLoqisHnzZnWdI+db1mvZuHFjbDab+v47\ncuQIFy9eLHeilBBCCCEqzqEexW+//Zb77rsPgC+//JJHHnkEHx8fVq1aRceOHaslwWL9+vVjyZIl\n6mSWzz//nNTUVLy8vDAYDDz99NMAjB49muXLlzN+/Hh0Oh2dO3e+7g3B09PTK9wrGhwczH333cdn\nn33Gyy+/zP3338/8+fOJjY2lWbNmtG3bFii6nvGdd97hypUraLVaAgICGDlyJBkZGSxZsgSr1YrN\nZqNdu3ZER0fj5eXFmDFjWLp0KRaLhcLCQkJDQ+32uF1t2LBhzJ07Fz8/PyIjI6lXr16FzmP48OEs\nWsTPR4IAACAASURBVLSIcePGERwcXOakma1bt5a6jrNp06YEBwfz008/lRvj5ptv5ujRo0ycOLHU\nZJZGjRpV+HzLei29vLx46aWXWLFiBR9++CHe3t7Exsbi4+Pjkl4WIapbdraGAQPqsX59Bn5+0mMt\nhHA9jeLA+NrQoUP54IMPsFgsPPPMM7z33nt4eXkxfPhwVqxYUZ15Vqtly5bRo0cPwsPD3Z2K8BBn\nz551fOj5TAo58WOqKSNRmximzKOweWvMZg3h4SEcPnwWk6n0+9GVQ88hISHVHqcqTg+6Q264Ldyi\nuL1C0dBzSHg4Zw8fRqnEte7O4Oz26lCPotFoJDMzk5MnT9KyZUu8vLywWCxlXvt1oyjujRRCCCGE\nEH9yqFDs2bMnkydPpqCggCFDhgDw+++/l3v/PSGEEEIIcWNyqFB8+OGHuemmm/Dy8lJvXeLt7c1j\njz1WLckJcSPRBtUteuZnNdPpdBWesX8jxHFlrBsmTmCw85KpJQwTZ6G46P3qKFe2JUd5cm7g2fmp\nudXw9urYY0mg1KSVNm3aOC0ZIW5k3o2akGus/mtSjC66Ls1VcVwZq6bFEX8qbNrS4euKXcWT3w+e\nnBt4dn6enJszOVQoLly4sMx1o0ePrnIyQggh/qTVQlhYAVqHbmQmhBDO49CvH61WW+Lr0qVL7N69\n22P/ihNCiBuZn5/C1q3n5dY4Qgi3cahHceTIkaWW7d69m19//dVpCQkhhBBCCM9Q5QGNrl27qo92\nE0IIIYQQNUeVC8Xk5GS0cgGNEEIIIUSN49DQ89SpU9FoNOrPeXl5nDx5kgceeMDpiQkhhBBCCPdy\nqFDs0KFDiZ99fX1p1aqVek9FIYQQQghRc1SoUDx+/Djff/89gwcPLrVu1apVGI1GQkNDnZ2bEELU\navn5sHChidGjzRgM7s5GCFEbVejiwnXr1tGoUSO76xo3bsx//vMfpyYlhBACLBYNb71lwmLRXH9j\nIYSoBhUqFJOTk+nSpYvddZ07dyY5OdmpSQkhhBBCCPerUKFoNpsxGo121/n6+mI2m52alBBCCCGE\ncL8KXaPo4+NDRkYG9erVK7UuIyMDvV7v9MSEuNEUpJ3BKyO92uPk63R4Wa01Jo4rY91QcQKDQRvs\nnIRqAa/Tx1Fc9H51lCvbkqM8OTfw7Pzs5abJzgb+eD/6+VXsQIHBFAYGOTs9p6lQoXjTTTexYcMG\nhg4dWmrdxo0biYiIcHpiQtxobFkXyJ8xzt1piBrCMGUeBEmhWFH5syeh5Ga7Ow1Ry2kKigrH/NmT\nULx1FdrHMGUeeHChWKGh5wcffJBNmzaRkJDAwYMHSU1N5eDBgyQkJLBp0yYefPDB6s5TVNKoUaNI\nSUmp0jFOnjzJqFGjHN4vPT2dYcOGlVoeExND9h9/dc2aNYvU1FQA4uPj+eGHH6qU67Wys7NZu3at\nU48phBBC1BYV6lFs3rw5kyZN4t1332X79u3q8pCQECZNmkTz5s2rLUHhWlarFZ2uYn8FOcOkSZOq\n7dhWq1UtFP/+979XWxwhqovRqLBlSzpGo+LuVIQQtVSFb7gdERHB/PnzSfv/9u48IKpyb+D4dxb2\nTQUU0ERFMFGQLM3luoDpLTW9lbt1NU1zeXO5pmZumKUodfN9k1wqLc2u6XUrzW6uueCWhiJm7pKy\nK8gqMDPn/YOcqzIqAwMM8vv8k8xZfr9zZp7pN89zznOSkrh16xZubm4PnDJHWJ+MjAxWrFhBamoq\nBQUFtGrVyjgv5tixY2nbti1xcXF4e3szbtw41q1bx4EDB3BwcOCpp566Z18xMTFs2LCBgoIC1Go1\ngwcPpnnz5qXKa+zYsUyePLnYPJxRUVGoVCoSEhLIysrC39+fkSNHYmtrS15eHl999RVXr16lsLAQ\nf39/hg8fjlarJTw8nPr163Px4kVsbW3RarXk5eUxefJkNBoNERERpcpTiMqg0UCTJrrKTkMIUY2Z\n9WQWAC8vLykQq6CoqCheeuklAgMD0ev1REREcOjQIdq2bQtAdnY28+bNQ6VSceLECQ4fPkxERAQO\nDg588sknxv0kJyezfv16pk+fjqOjI0lJScyaNYuoqChsbGyKxb1TpJXGhQsX+OCDD7Czs2PhwoVs\n3bqVl19+mVWrVtG0aVNGjRqFoigsW7aMH374gV69egGQmJjInDlz0Gq1pKSkMGXKFCIjI0uVgxBC\nCFGdmV0oiqrn9u3bxMbGkpGRcc9rd64NBOjcubPxOd6xsbG0bdvWOCVS165d+f3334Gi3sSkpCRm\nz55t3FalUpGWloa3t3ex2A4ODsWKtH79+pUo77Zt2+Lg4ABAWFgY27dv5+WXX+bYsWOcO3eOrVu3\nAhh7Nu/o0KEDWm3JP9oxMTGcPHkSABsbGwYNGoSLi0uJt7+jIEEmRRaWo9FocHR1feg6tra2uD5i\nHUv65ptvKCwsBKBFixaEhIRUWOy7mWqzQlRVJWnrpWGp9iqFYjXywQcfPHAqI3t7+wdud6eABFAU\nheDgYMaPH19svRUrVvDbb78B8NZbbz10n6VxJw9FUZg0aRI+Pj4m1zM3bkhISLEGlJWVhaKYd12Y\nnZnrC/Ewer2ezMzMh67j6ur6yHUsQaVS4ezsbDUFmak2K0RVVZK2bg5Lt9cS3fUsqjZ7e3uaNWt2\nz92/N2/e5MaNGybXDwoK4vDhw+Tl5aEoCjt37jQuCwkJITY2lqtXrxpfu3DhAgDDhg0jMjKSyMhI\ni9zgdPjwYW7fvo3BYGDv3r0EBQUBRU8D2rJlC/o/56/Kzs4mKSnJ5D4cHR0pKChAp5PrvIQQQghz\nSY/iY06v12NjY8O4ceP46quvmDRpElBUPI4YMQJ3d/di27Rs2ZILFy4wderUYjezeHl5MW7cOJYv\nX24swBo0aGCyh7Gs/Pz8+OCDD8jMzMTf358ePXoAMHToUNasWcOUKVNQqVRoNBoGDx5s8tpZZ2dn\nOnbsyNtvv429vb3czCKqFL0eLlzQ0rixjgqcjEAIIYxUirnja6LKSE9PZ8KECSxfvhw7O7vKTscs\nUVFRNGjQwFgcVrTExETzh56vXyE3fFw5ZSSqG7uZH5NeszFPPunN2bOJuLgU/zxW5NCzqWuQrcm1\nPp1kwm1R6VSFeurtiOFa1xCzJtzW1fezXA4Wbq/So/iY2rp1Kzt27OC1116rckWiEEIIIayD9CgK\nYUJpehQdcrMorIBnPWs0GuP1mY9DnIqMVaXiuNUiXV1LehRLKPVYtNU+67ki25K5rDk3sO78TOWm\nysnB87kXSN25vdKe9Sw9ikJYKRuvuuQ5mj+tjrkcK6g4qKg4FRmrysXJKvsuqgtdvYZm/7irKBXZ\nlsxlzbmBdednKjdVVlGj1dVriFKKadaskdz1LIQQQgghTJJCUQghhBBCmCSFohBCWClbW4V//CML\nW1vrHFIVQjz+5BpFIYSwUnZ2MGmSXKgohKg80qMohBBCCCFMkkJRCCGEEEKYJIWiEEIIIYQwSQpF\nIYQQQghhkhSKQgghhBDCJCkUhRDCSuXkqAgN9SQnR1XZqQghqikpFIUQwkoZDHDunA0GQ2VnIoSo\nrmQeRSEspDDpOtq0lHKPk6/RoL3vQfRVOU5FxqpqcbQ5GsAb7bXLaJ2K789kHLda6Nxqljl2VaO9\ndhmlgj6v5qrItmQua84NrDs/U7mpcnKAPz+PTk6WDVhJbVsKRSEsxJB+g/y5Eys7DfEYyS90An4m\nf8E0bG1ySrSN3cyPoRoWivkLpqHklewcCVFeVIVFhWP+gmkoNhqL7ruy2rYMPQshhBBCCJOkR7GS\nTJ48GQCdTkdCQgL169cHwMfHh4kTLdcrdeTIEdzd3WncuLHF9nm3U6dOsXDhQry9vQHQ6/X07NmT\nsLCwcoknhBBCiIojhWIliYyMBCAlJYUpU6YY/zZFr9ej0ZSuC/vIkSMEBASUW6EIUK9ePSIiIgBI\nTU1l/PjxtGvXDnt7+xLvw9QxluW4hXgcqFUG/J0volbJ3SxCiMohhaIVOnXqFKtWraJhw4ZcuXKF\nPn36kJ+fz/bt29Hr9SiKwsCBA2nZsiUAM2fOJCAggPPnz5Oenk5ISAjDhw/nl19+4ddff+XMmTPs\n2rWL7t27ExoayubNm9m/fz8ADRo0YPjw4Tg4OPDmm28SGRmJm5sbH374IVlZWcyZM4eCggJGjx7N\nsmXL0Gof/pHJy8vD3t7euN6WLVs4fPiwsegbPny4sWgdNWoUHTp04PTp09StW5eOHTsWO+4mTZqw\nfPlyUlJSUBSFHj16EBYWxokTJ/jPf/7DtGnTyM7OZvjw4bz55puEhYWxe/duzp8/z5tvvsn69es5\nePAgNjY2ALzzzju4u7uX11snhEU5afPY1bF/ZachhKjGpFC0Un/88QdvvPEGTz75JACZmZl06NAB\nlUpFcnIyM2bMYMmSJcaCLCUlhfDwcAoLC5kwYQKdOnXimWee4amnniIgIIDnn38egF9++YX9+/cz\nd+5cHBwcWLJkCWvXrmXYsGE0a9aM2NhY2rVrxx9//IFareb27ducPXuWxo0bP7BIvHbtGpMnT0an\n05GSksLw4cON64aGhtK7d28Azp49y5IlS/joo4+M2+bk5DBv3jxUKhWnTp0qdtwffvgh9evXZ8qU\nKWRkZDB16lR8fX0JDAzkk08+QafTcfr0afz9/YmNjSUsLIxTp07RunVrMjMz2b59O0uXLsXW1pb8\n/HzUarksVwghhCgpKRStlLe3t7FYgqJC8JNPPuHmzZuo1Wqys7NJS0vDy8sLgPbt26NWq7Gzs8PX\n15fk5GSTw813CkFHR0cAunXrxuLFiwEICgri1KlT1KlTh0aNGuHo6MiZM2eIi4ujefPmD8z17qHn\ntLQ0Zs6ciZ+fH76+vly8eJHNmzeTnZ2NWq3m2rVr6HQ6YyHZuXNnVKr/TiZ8/3HHxsby+uuvA1Cj\nRg1atWpFbGwsfn5+1K9fn3PnzhEbG8vLL7/Ml19+icFgIC4ujmHDhuHk5ISnpyeLFy8mODiYli1b\nUqtWrWL5x8TEcPLkSVJTU8nMzOS9997DxcWlZG/UXQoSZFJkUfk0Gg2Orq7lsu9Zs2bh6uqKp6cn\nLVq0ICQkpFziPIqpNivE487ctm2p9iqFopW6//q+jz/+mCFDhtC6dWsAhgwZQkFBgXH5naFVALVa\njb6E807dXaQFBwezfv16vLy8CAoKwtHRkdjYWOLi4hgzZgxQdG1lSkrRXIHh4eHF9ufh4YGfnx+x\nsbF4e3vzz3/+kzlz5tCoUSOys7MZNmzYPYXi/cf5qOsa7843KCiI2NhYzp49y5AhQ/Dx8WH//v3U\nqFED1z8b07x58/j99985c+YM7777LhMnTqRJkyb37DMkJKRYA8rKykJRlIfmcj87M9cXojzo9Xoy\nMzMtuk+VSoWzs7PVFGSm2qwQj7uStm1Lt1cZh6sicnJyqF27NgB79+4lLy+vRNs5OjqSm5tr/Dso\nKIjo6Gjj9jt27CA4OBgoKvJsbW3ZtWsXwcHBNG/enGPHjpGeno6vry9QdLd2ZGQkkZGROJmYTDQn\nJ4fLly/j4+NDQUEBer0eDw8PALZv3272cQcFBbFr1y4Abt26xbFjxwgKCjIu27dvH25ubtja2hIc\nHMy6deuMy3Nzc8nMzCQwMJA+ffrg7+/PlStXzM5BCCGEqK6kR7GKGDp0KJGRkTg7OxMUFGRyCNWU\njh07smTJEg4dOmS8meXatWvMmDEDAF9fX/7+978b17/TS3enuHNxccHPz++enrz73blGEYqm+wkN\nDTXeaNO3b1+mTZuGs7Mz7du3N/u433jjDZYvX87bb7+Noij07dsXPz8/ABo3bkx2djZdunQBinpE\nv/zyS2OhmJOTw6JFi7h9+zaA8YYZIYQQQpSMSjF3fE2IaiAxMdH8oefrV8gNH1dOGYnqKF9vQ9TF\n1xnrtxI7TWGJtrGb+TG6+n4WzUOlUhnnSrVW1/p0kieziEqnKtRTb0cM17qGlMuTWUrSti3dXmXo\nWQghrFSBwZZFF0ZSYLCt7FSEENWU9CgKYUJpehQdcrMoTEspp4z+S6PRlPhmpaoQpyJjVbU4WTka\nGj/Xjgs7o3FxKr4/k3HcaqGz8PNgq0KPYuqxaJQK+ryaqyLbkrmsOTew7vxM5abKycHzuRdI3bkd\nxcR1/GVSwrZt6fYq1ygKYSE2XnXJczR/Wh1zObq6Wvyu1sqMU5GxqlocXVbRtcG6eg3RuRT/4VKR\n75G109VraPaPu4pize+TNecG1p2fqdxUWVnAn5/HUkyzZo1k6FkIIYQQQpgkhaIQQgghhDBJCkUh\nhBBCCGGSFIpCCGGlHB0Vdu9OwdHROq+9E0I8/uRmFiGEsFIaDTRpoqvsNIQQ1Zj0KAohhBBCCJOk\nUBRCCCGEECZJoSiEEEIIIUySQlEIIYQQQpgkhaIQQlgpvR5+/12LlT7BTAhRDUihKIQQVio3V0VY\nWG1yc1WVnYoQopqS6XGEsJDCpOto01LKPU6+RoO2ArqYKipORcaqanG0ORrAG+21y2idiu+vXI7H\nrRY6t5qW3WcF0F67jGKlXa8V2ZbMZc25gXXnZyo3VU4O8Ofn0cnp3g2qatuq7ASEeFwY0m+QP3di\nZachHiP5hU7Az+QvmIatTU6FxLSb+TFUwf+Z5S+YhpJXMedIiAdRFRYVjvkLpqHYaO5ZVlXblhSK\nVcj69eu5ceMGo0aNAuDs2bPMmjWL2bNn06xZMwCWL1+Oq6srGzduZOXKlTjd/4sGmD9/PkOGDMHH\nx4e9e/fi7+9P3bp1zcrlxx9/ZNeuXQCkpaVhZ2eHi4sLAMOGDaNp06ZlOVSjzMxM9u7dS69evSyy\nPyGEEEKUnBSKVUizZs1YsmSJ8e/Tp0/j7+9PXFycsVCMi4tjxIgRbNy48YH7mTZtmvHfe/fuxdHR\n0exC8fnnn+f5558H4P/+7/8ICAgw/n0/vV6PRqMxuexRsrKy+P7776VQFEIIISqBFIpVSEBAAOnp\n6dy4cQN3d3fOnDnDK6+8wnfffQdAeno6aWlpBAQEAPCf//yHY8eOkZmZSZ8+fQgNDQVg7NixTJ48\nmYsXL3Lx4kW++uor1q9fz8CBA2nZsiXfffcdhw4dwmAw4OrqysiRI/H09DQr1+nTp+Pv78+5c+dw\ncnJi8uTJLFy4kOzsbAoKCmjUqBEjR47E1taWmJgY/vWvf9GoUSMuXLiAwWDgrbfeokGDBnz22Wdk\nZ2czefJk7OzseP/997l+/Tqff/45WVlZqNVqBgwYQMuWLfnhhx9ISkpi2LBhXLp0iXfeeYfw8HAC\nAwP55ptvcHJyonfv3pZ9U4QQQojHmNz1XIVotVqaNGlCXFwchYWFpKSk0LJlS27cuEFBQQFxcXEE\nBARga2sLgI2NDfPnz+fdd99l5cqV6O+76LZLly74+fkxZMgQIiMjadmyJQcOHCAhIYEPPviABQsW\n0KFDBz7//PNS5ZuSksLcuXOZPn06Wq2WCRMmEBERwUcffYRarWbHjh3GdePj4+nWrRuRkZGEhYWx\nbt06AEaMGIGzszORkZG8//77ACxatIhOnTrx4YcfMm7cOBYvXszNmzcJDg4mNjYWgFOnThEQEGD8\nOzY2lqCgoFIdhxCVxVZdwITGy7FVF1R2KkKIakp6FKuYZs2aERcXh4eHB40bNwYw9tzdPQQN0KFD\nBwDq1q2LRqMhIyMDd3f3h+7/6NGjXLx4kalTpwJgMBhKnWvHjh2NQ86KorB582ZOnjyJwWAgNzcX\nRVGM69arV4+GDRsCRT2nu3fvNrnPzMxMEhIS6NSpk3E7Pz8/zp07R5s2bcjNzeXmzZvExsYyaNAg\n/vWvf9GjRw9SU1Np0KCByX3GxMRw8uRJoKi4HjRokPF6S3MUJMgUJsKy7DSF/CNgeYXG1Gg0OLq6\nmlz2zTffUFhYCECLFi0ICQmpyNSMTLVZIazdw9pWebBUe5VCsYpp1qwZu3fvxsPDg8DAQAACAwOJ\ni4sjLi6OMWPGGNe1sbEx/lutVhfrUXyQl156ieeee67Y6zNmzCA/Px8bGxvmzZv3yP3Y29sb/713\n714uXrzI3Llzsbe3Z8uWLVy+fNm4/E4vaElyVakeXJAFBQVx4sQJ0tPTCQwMJC8vj6NHj9K0aVPU\natMd6CEhIcUaUFZW1j2FbEnYmbm+ENZIr9eTmZl5z2sqlQpnZ2erKchMtVkhrJ2ptlUeLN1eZei5\nivHz8+PWrVscOHDA2HsYGBhIdHQ06enpxl7GknJwcCA3N9f4d6tWrdixYwfZ2dkA6HQ6Y0H3/vvv\nExkZWaIi8X45OTm4uLhgb29Pbm4u+/btK3F++fn5xp5NV1dXvL292b9/PwDXr1/n0qVLNGnSBCgq\nFDdt2mT8OzAwkA0bNsiwsxBCCFEK0qNYxWi1Wp588kmuXr1qvFPZx8eHvLw8nnzySbRa897S5557\njlWrVrFt2zYGDhxIhw4dyMrKYs6cOUDRL6DQ0FDjsHBphYaG8uuvvzJhwgTc3NwIDAwkKyvrkdvV\nqlWL1q1bM2nSJJycnHj//feZMGECn3/+Od999x1qtZqxY8dSs2bR3FRBQUFERUUZC8Pg4GB+/PFH\nKRSFEEKIUlAp5o6vCVENJCYmmj/0fP0KueHjyikjISqG3cyP0dX3u+c1lUqFt7d3JWVUMtf6dJIJ\nt0WlUxXqqbcjhmtdQ0xOuH1/2yqXHCzcXmXoWQghhBBCmCSFohBCWKkcnQNd9n1Ljs6hslMRQlRT\nMvQshAmlGXp2yM2iMC2lnDL6L41GU+I72KtCnIqMVdXiZOVoaPxcOy7sjMbFqfj+yuV43Gqhu+95\ntFVh6Dn1WDRKBX1ezVWRbclc1pwbWHd+pnJT5eTg+dwLpO7cjnL/I3RNtK3yYOn2KjezCGEhNl51\nyXM0f/5Fczm6ulbIFAsVFaciY1W1OLqsoqmgdPUaonMp/sOlIt8ja6er19DsH3cVxZrfJ2vODaw7\nP1O5qf68SVNXryFKKebjtUYy9CyEEEIIIUySQlEIIYQQQpgkhaIQQgghhDBJCkUhhLBSajUEBBTy\ngKdPCiFEuZObWYQQwko5OSns2ZNa2WkIIaox+Z0qhBBCCCFMkkJRCCGEEEKYJIWiEEIIIYQwSQpF\nIYQQQghhkhSKQgghhBDCJLnrWQgLKUy6jrYCnvWcr9GgrYBnn1ZUnIqMVdXi5Beo+L9VTzDu739g\nZ1v88XTlejwV9FxaS9Feu2y1z3quyLZkLmvODaw7P1O5qXJygD8/j/c/67msKqlNSqEohIUY0m+Q\nP3diZachHiNZhU58uONnXo//O9jkVGhsu5kfQxUqFPMXTEPJq9hzJMT9VIVFhWP+gmkoNhqL7ruy\n2qQMPQshhBBCCJOkUBQlNnbsWK5cuQJAQUEBCxcu5J///Cc6ne6h20VFRbFt2zaL5BAXF8fkyZMt\nsi8hhBBCPJwMPQuz5eXlsXDhQry8vBgxYgRqeb6YEEII8ViSQlGYJSsri2XLltG8eXMGDx5sfD08\nPJzu3bvTunVrAD766COefvppOnfufM/2sbGxrF27lsLCQnQ6HT179iQsLAyAXbt2sXXrVrRaLQaD\ngVGjRuHv7//AXFJSUpgyZQrdu3fn+PHj5Obm8vrrr9OyZUsAzp07x+rVq7l9+zaKotC/f39atWpl\n4TMihBBCPL6kUBRmWbRoEV26dGHQoEGl2r5hw4bMnTsXtVpNdnY2U6ZMoUWLFri7u7Nq1SoWLVpE\nzZo10el0jxzSBsjNzaV+/fr069ePmJgYVq5cScuWLcnOziYyMpJ//OMfNG3aFIPBQG5ubqlyFkII\nIaorKRSFWZ566ikOHz5Mt27d8PDwMHv77Oxsli5dSmJiImq1mqysLP744w/c3d0JCgpi8eLFPP30\n04SEhODj4/PI/dnY2PDss88CEBAQQHJyMlDUm+jj40PTpk0BUKvVODs7m9xHTEwMJ0+eJDU1lczM\nTN577z1cXFzMPraCBJXZ2wjxMI7aPHZ06IejNq/CY2s0GhxdXe95bdasWbi6uuLp6UmLFi0ICQmp\n8LzAdJsV4nFnqk0+jKXaqxSKwiw9e/bk9OnTzJkzh9mzZxuLRY1Gg8FgMK5XWFhocvvPPvuMp556\nikmTJqFSqZg6dSoFBQUATJo0iUuXLhEXF8f8+fMZMGAA7du3f2g+NjY2qFRFBZparb4nh5IKCQkp\n1oCysrJQlOLz1j2MnZnrC/EoGpWBJi6XKiW2Xq8nMzMTAJVKhbOzs9UUZKbarBCPu7vb5MNYur3K\nXQjCbD179uT5558nPDyc1NRUAOrUqcOFCxeAomsHz549a3Lb7OxsPDw8UKlUnDlzxngXtV6vJzk5\nGT8/P3r16kWbNm2M+yuNgIAAEhMT+e233wAwGAxkZ2eXen9CCCFEdSQ9iqJUevTogUqlIjw8nNmz\nZ9O7d28WLVrEpEmTeOKJJx54E8rgwYP5/PPP2bBhAw0aNDCuZzAYWLJkCdnZ2ajValxdXRkzZkyp\n83N2dubtt99m9erV5OXloVKp6N+/P88880yp9ymEEEJUNyrF3PE1IaqBxMRE84eer18hN3xcOWUk\nRMWym/kxuvp+QNFQlre3dyVn9HDX+nSSJ7OISqcq1FNvRwzXuoaUy5NZ7rTJh+Zg4fYqQ89CCCGE\nEMIk6VEUwoTS9Cg65GZRmJZSThn9l0ajQX/fg+ircpyKjFXV4uj1cP6qI/6+uWhMdE6U6/G41UL3\n53Nlq0KPYuqxaJQK+ryaqyLbkrmsOTew7vxM5abKycHzuRdI3bkdxcnJsgHvapMPY+n2KtcoCmEh\nNl51yXM0f1odczm6upbozreqEqciY1W1OFlZKjr9xZuzZxNxcSn+w6Ui3yNrp6vX0OwfdxXFmt8n\na84NrDs/U7mpsrKAPz+PpZhmzRrJ0LMQQgghhDBJCkUhhBBCCGGSFIpCCCGEEMIkKRSFEEIISAMl\nAQAAFTpJREFUIYRJcjOLECbceSxgRW1X3eNUZKyqFEetVuHiUvTfB+2uIo6nIj8HpWXtOVpzftac\nG1h3fvfnplKrwcWl6L+VlLelz5dMjyOEEEIIIUySoWchLOSbb76ROFYeS+KU3rp16yoslrmsOTeo\n2PfJXNacG1h3ftacmyXbhBSKQlhIYWGhxLHyWBKn9PLy8ioslrmsOTeo2PfJXNacG1h3ftacmyXb\nhBSKQgghhBDCJE14eHh4ZSchxOPCy8tL4lh5LIlTNWKZy5pzA+vOz5pzA+vOrzrkJjezCCGEEEII\nk2ToWQghhBBCmCSFohBCCCGEMEkm3BaijBITE4mKiiIrKwtHR0fGjBnDE088YXLdgoICFi1axPXr\n17G1tcXV1ZURI0bg5eXFrVu3WLx4McnJydjY2DB8+HACAwMByM/PZ8mSJVy8eBG1Ws3AgQNp06YN\nAAaDgS+//JJff/0VgB49evD8888bY0ZGRnLs2DHc3NwICwuje/fuFo1TWFjIqlWrOHjwILdv30ar\n1fLCCy9YPA7AiRMnWLp0KdnZ2SiKQosWLXjnnXfKfO5+/vln8vPzMRgMLFy4kAYNGgCwZs0atm/f\njl6vx9HRkUmTJpXpGFasWMHx48dJTU2lVq1a2NjY0K5dO9LT0/n999+xtbXl9u3b6HQ6tFotzZo1\n47XXXuOzzz4z+1ytWLGCffv2kZubS61atejUqRMDBw40fi5Wr17N999/j7OzM61bt+aNN95Ar9eX\n+nO2YcMG9u7dC0C7du3uibV79242b96Moig0a9aMN954A6227P/7MaftlbfStu3KsGfPHpYsWcLb\nb79N69atrSK/O98jJ0+exMbGBl9fX8aNG2cVuUHRd8+3336LwWDAYDDw4osv0rlz50rJ7+7vkbu/\nr0r7PfhIihCiTMLDw5U9e/YoiqIohw4dUt55550Hrpufn68cP35cMRgMiqIoyvbt25XZs2criqIo\nUVFRyrfffqsoiqKcP39eefPNN5XCwkJFURRl/fr1yuLFixVFUZTk5GRl+PDhSmZmpqIoirJ3715l\nzpw5il6vV7KyspTRo0cr8fHxiqIoyoEDB5TBgwcr77zzjhIdHa1MnTpVee+99ywaZ+XKlUpkZKQy\nYcIEJS8vT0lJSSmXOAaDQXnttdeUsWPHKnl5ecr169eVfv36KdHR0WU+d6dPn1auXr2q9O/fXzl0\n6JCiKIoSFxenDBkyRFmzZo1SUFCgjB8/Xhk2bFiZjiEuLk6Jjo5WBgwYoJw9e1YpKChQpk6dqqxd\nu1bR6XRKcnKyMnToUGXUqFGKwWBQIiIilHnz5pXqvd+2bZvy1ltvKaNHj1bOnTunTJ06VTl+/Lii\nKIpy5coVZcCAAcrcuXOV77//XomIiFC2b99e6s9ZXFycMnHiRCUvL894THdiJScnKyNHjlTS09ON\nx7R9+/YHthFzmNP2yltp23ZFS05OVqZPn668++67ypEjR6wmv5UrVypffPGF8fylp6dbTW4Gg0EZ\nOnSocuXKFUVRis7hoEGDlNzc3ErJLy4uTklLS1PGjBmjXL582fh6ab8HH0WGnoUog1u3bnHp0iU6\ndOgAwLPPPktaWhpJSUkm17e1taVly5bGRyz5+/uTmpoKwKFDh+jWrRsAjRs3pmbNmpw5cwaA6Oho\nunbtCkDt2rUJDAzk6NGjxmVdunRBrVbj7OxMu3btOHjwIAaDgdWrVxMWFoadnR0ajYbQ0FDi4uIs\nFufnn39mz549ODs706lTJ+zt7fH09LR4nIMHDwKg1+sJDg7G3t6ewsJCHBwcOHLkSJnPXbNmzahf\nvz52dnbExMQYlxUUFNC9e3dsbGx44YUXUBSlTMcQGBhIXFwc9vb22NnZYWNjQ2hoKMnJyWg0Gg4f\nPszTTz9NRkYGBoOBrl27EhcXV6pzlZCQQFhYGCqVyhjnwIEDAHz66ac0b96cmjVrolKp6Nq1KwcP\nHiz1+xIdHU3Hjh2xt7cvFuvOMdWoUeOeWGVlbtsrb6Vt2xXJYDCwbNkyhg0bho2NjfH1ys7v9u3b\n7NmzhwEDBhjPX40aNawitztUKhU5OTlA0RyFzs7O2NjYVEp+gYGBuLu7F3u9tN+DjyJDz0KUwY0b\nN6hRowYajQYo+jLx8PAgLS2tRFMT/PDDDzzzzDNkZWWh1+uNX44Anp6epKWlAZCWloanp6dxWe3a\ntR+4zNPTk/Pnz7N161ZsbW0JCAggPj4eAGdnZxRFsVicX3/9FWdnZ+Li4jh9+jQnTpygb9++Fo9z\n/vx5VCoVvr6+HDhwgJiYGHJycujduzfHjx+32LnTaDRkZGQAkJSUhMFgMO7X09MTlUpVpmO4s0yt\nVt+zLDo62rjsxo0bPPXUU2g0GmrXrk1BQUGp4zz55JPF4hw+fJj8/HwCAwNJSEi4Z585OTkWjfWo\n81QWZW175a2kbbsibd26lSZNmtCoUSPja9aQX3JyMs7OzmzatInY2FhsbW3p27cvDRo0qPTcoOiz\nNWHCBD766CPs7OzIyclh0qRJ5OXlWUV+8Oj3sSztUHoUhagkGzduJCkpiUGDBll83zk5ORw5cgRv\nb2+L7/tuiqKQmpqKvb09AwYM4PXXX2fRokUYDAaLx9Lr9SQlJdGjRw8+/fRTZs6cyffff2/xOJUp\nISGB+Ph4Ro4cWS771+l0bNiwgaZNm5bL/kWR8mzbpRUfH8+RI0d4+eWXKzuVYvR6PampqdSrV4+I\niAjj94her6/s1ICi/DZu3MikSZOM3z2LFy+2mvzKmxSKQpSBu7s7GRkZxi8MRVFIS0vDw8Pjodt9\n9913HD16lHfffRc7OztcXFzu6c0CSE1NNe7Hw8PDOIwFkJKS8sBlqampxi/e3377jS+++ILz58+z\nfPlyjh07hkqlslgcHx8fVCoVAQEBpKWl0bBhQ2rXrm3sAbRUHA8PD65cuYLBYMDOzg4oGlpxcHDA\n1tbWYufu7l/kXl5e9xxDamoqiqKU6RjuLLu7kE5NTcXd3Z3o6GguX75MixYtjDmkpKRga2tb6jh3\n9xikpqZiY2NDRkYGhw8fZtOmTRw+fJh///vfrF+/Hg8PjzId0/2x7gyNPWyfZVHatlfezG3bFeXs\n2bOkpqYyfvx4xo4da/xOOHToUKXn5+HhgUqlMl5GcOd7JD4+vtJzA7hy5Qrp6enGG0MaN26Mu7u7\n1eQHlOn/IY8ihaIQZeDm5kbDhg3Zv38/AEeOHMHd3f2hQ19bt27l4MGDzJgxAycnJ+Prbdq04aef\nfgLgwoUL3Lx50/jF1KZNG3bs2AEUNfAzZ87QqlUrANq2bcuuXbswGAxkZ2cTHR3Nq6++yvLly5k6\ndSo1a9bEz8+P4cOHk5SURGBgoMXihIaGEhQUhKenJ/v27eOPP/4gOTmZM2fOWDROu3btcHd3R6fT\nsWvXLm7fvs0ff/zBzZs36dixo8XOXX5+Pi1atDAus7Oz44cffqCwsJDt27cDlOkY7iy7ffs2+fn5\nFBYWsmfPHmrVqsXatWt5++23iYuLIyMjA0VR2LFjB4GBgaWOs2/fPhRFMcZ58cUX+eyzz4iIiMDB\nwYGWLVvyyiuvUFBQQPv27ct0TPv27eP27dvGWO3btweKrh08fvz4Pcd0Z1lZlKbtlbfStO2K0q1b\nN5YvX05UVBRRUVH4+/szcuRIunXrVun5ubq6EhQUZLw+OCUlhZSUFOrVq1fpuUHRj5L09HSuXbsG\nFF2WkpSUhI+Pj1Xkd0dpvwcfRZ7MIkQZJSQkEBUVRXZ2Ng4ODowZM4b69eubXPfGjRuMHj2aOnXq\nYG9vD4CNjQ3z5s0jIyODxYsXk5KSglarZdiwYTRv3hwouth7yZIlXLp0CbVaTf/+/Y3/kzYYDKxY\nsYKYmBhUKpVxapo7/v3vf7Np0yYcHR0JDQ01TltjqTjJycksXbqUa9eukZOTg6Oj4z3T8FjyeA4c\nOMBXX31FTk4OiqIQEhLC1KlTy3zu9u3bR0FBAYqi4Orqir29PZ988glff/0127dvx2Aw4OjoyMSJ\nE8t0DMuXL+fEiROkp6cDoFarefHFF/n++++pUaMGzs7OZGdnc+vWLWrWrEnz5s2N0+OYe66WL1/O\nwYMHycvLQ6VS4ejoyMqVK42fi507d7Jq1Sq0Wi2tWrVixIgR6HS6Mn3O7p4e5+5h1507d7Jlyxag\nqNAeMWKERabHMaftlbfStu3KEh4eTvfu3WndurVV5HfneyQzMxO1Ws0rr7xCmzZtrCI3KPru2bRp\nE2q1GoPBwEsvvcRf/vKXSsnvzvdIRkYGLi4uxu+r0n4PPooUikIIIYQQwiQZehZCCCGEECZJoSiE\nEEIIIUySQlEIIYQQQpgkhaIQQgghhDBJCkUhhBBCCGGSFIpCCCGEEMIkKRSFEEIIIYRJUigKIcrF\nokWLWLp0aWWnIYQoJxXVxtetW0dERES5xxGmlX1qfCGE1XrttdeM/9bpdBgMBmxtbY2vvfvuuzRt\n2vSh+4iJiSEiIoK1a9daNLdFixZx5MgRtFotKpWKGjVqEBYWxt/+9jeLxhHicWbNbXz69OnGx0Te\nbdGiRdjb2zNq1KgS7adfv34l2q8oH1IoCvEYW716tfHfa9eu5ezZs4SHh1deQvfp1KkTo0aNQlEU\nYmNjiYiIoHbt2iV+tJQQ1Z21t3FR9UmhKEQ1p9fr2bJlC3v37uXWrVv4+PgwcOBAgoODSUhIIDIy\nEoPBYOy56N+/Pz179mTNmjUcPnyYjIwMnJ2defbZZxk0aNA9vRklpVKpCA4OxtvbmwsXLtxTKO7e\nvZtt27aRlpaGh4cH/fr149lnn0Wn0zF69GiGDRtG27Ztjetv3LiRY8eOMX/+fACOHTvGxo0bSUxM\nxM3NjR49etCtWzcArl+/zsSJE/mf//kftmzZQmpqKr6+vowePRofHx/AdO/FiBEjeO211+jYsSMA\n8fHxfP3111y8eBGtVsuzzz7Lq6++WqpzIYSlWUMbf5CCggJeffVV3njjDX7++Wfi4+Px8vJixIgR\nBAQEALBmzRouXbrEzJkziYqK4sKFC1y+fJnNmzdja2vLF198waVLl1i5ciXx8fGo1Wq8vLyYOHEi\ntWvXtliu1ZUUikJUc1u2bGHXrl1MnjyZJ554gv379zN//nwWLFhA/fr1mTx5MhEREff0XADUrVuX\n8PBwatWqRXx8PAsWLMDJyYm+ffuanYPBYODkyZMkJCTQo0cP4+s//fQT3333HZMmTcLX15czZ86w\nYMEC3N3dady4MZ06dWL37t3GQlFRFPbs2UPv3r2BoiG1Tz/9lMmTJ/Pkk08SHx/PBx98gKurK23a\ntDHGOXDgALNmzcLBwYGPP/6YlStXMn369BLlnp6ezuzZsxkwYABTpkwhOzubjz/+mK+//pphw4aZ\nfS6EsDRraOOPsnv3bv7xj3/g7u7OihUriIqK4n//93+LrTd27FgSEhKK/XhbtmwZbdu2Zc6cOSiK\nwtWrV7G3t7d4ntWR3MwiRDW3c+dO/va3v9GgQQM0Gg2dO3emefPm7N69+6Hbde7cGXd3d1QqFb6+\nvnTt2pVTp06ZFXvfvn0MHTqUwYMHM3/+fHr06EHnzp2Ny7dt20afPn1o2LAharWa5s2b07p1a37+\n+WcAwsLCiI2NJS0tDYDTp0+TkZFB+/btAdi6dSvdu3cnMDAQtVpNgwYN6NKlC3v37r0nj379+uHm\n5oatrS2dOnXiwoULJT6GPXv20KBBA/7617+i1WqpUaMGffr0KRZDiMpSmW28pHr16kXt2rXRaDR0\n6dKFxMREcnNzS7y9VqslLS2NtLQ0NBoNjRo1wtXVtVxyrW6kR1GIakxRFG7evEmdOnXueb1OnTrG\n4utBfvzxR3bt2kVaWhoGgwG9Xk+tWrXMit+xY0dGjRpFQUEB69ev59SpUxQWFmJnZ4fBYCApKYkV\nK1bw5ZdfGrfR6/UEBwcD4OPjQ5MmTdizZw99+/Zl165dtG3bFgcHBwASExP5/fff2bZtm3F7g8GA\nt7f3PXnUrFnT+G97e3vy8vJKfAxJSUn8/vvvDB061Piaoijo9XoyMzPlf1aiUlVmG9doNOj1+mKv\n63Q6NBrNPa/dvV87OzsA8vLycHR0LFGscePGsWHDBmbPng1A27Zt6d+/v3FfovSkUBSiGlOpVNSq\nVYvk5OR7Xk9OTqZu3brGde53+vRpVq9ezYwZM/D390er1bJp06ZH9lA8iK2tLQMHDuT06dNs2LCB\nQYMGoVarcXNzY+jQoQ+9uSUsLIx169bx17/+lWPHjjFr1izjsho1atCtWzfjUHRp2Nvbk5+fb/y7\nsLCQ7Ozse2IEBQUxbdq0UscQorxUZhuvXbs2iYmJxV5PSkoyXn9YGqbyrVOnDmPGjAEgISGBiIgI\nHB0d6dOnT6njiCIy9CxENRcWFsbmzZuJj49Hr9ezb98+Tp8+TWhoKFBUCN3p3bsjNzcXtVqNq6sr\nGo2GCxcu8NNPP5UpD7VaTf/+/fnhhx+4ceMGAN27d2f9+vVcunQJg8FAYWEh58+f58qVK8bt2rZt\nS05ODp9++il16tShSZMmxmXdu3dn27ZtnDlzBoPBgE6n4+rVq5w9e7bEefn5+XH06FEyMjLIz89n\n9erVKIpiXB4WFsbZs2fZuXMnBQUFKIpCWloav/zyS5nOhxCWUlltPDQ0lKNHj3L06FF0Oh35+fls\n3bqVlJSUe25AM1eNGjWKFaC7d+/m5s2bADg6OqLRaIr1WorSkR5FIaq5l156CYDIyEgyMzPx8fFh\n6tSp+Pr6AuDr68tzzz3H9OnT0ev19O3blxdeeIFOnToxc+ZM9Ho9TZs2pXPnzhw4cKBMuYSEhNCw\nYUO+/fZbxowZQ+/evXFzc2Pp0qWkpKSg0WioX78+AwcONG5ja2vLX/7yF3766Sf+/ve/37O/9u3b\nY2dnx5o1a0hISACKLtA3Z67GXr16cf36dcaPH4+zszOvvPIKLi4uxuVeXl68//77fPPNN3z77bcU\nFBTg7u5Ox44deeaZZ8p0PoSwhMpq482aNWP8+PFs3ryZJUuWGK8TnjFjBp6enqU+nl69erFs2TKG\nDh2KjY0Nn332GadOnWLt2rXG4erWrVvTs2fPUscQ/6VS7v5pLIQQQgghxJ9k6FkIIYQQQpgkhaIQ\nQgghhDBJCkUhhBBCCGGSFIpCCCGEEMIkKRSFEEIIIYRJUigKIYQQQgiTpFAUQgghhBAmSaEohBBC\nCCFMkkJRCCGEEEKYJIWiEEIIIYQw6f8B46EqxdhyFpoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114d91518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax0, ax1) = plt.subplots(nrows=1, ncols=2, sharey=True, figsize=(7,4))\n",
    "top_10.plot(x='Name', y='Sales', kind='barh', ax=ax0)\n",
    "ax0.set_xlim([-10000, 140000])\n",
    "ax0.set(title='Revenue', xlabel='Total Revenue', ylabel='Customers')\n",
    "\n",
    "ave = top_10.Sales.mean()\n",
    "ax0.axvline(x=ave, label='Average', c='b', ls='--', lw=1)\n",
    "\n",
    "top_10.plot(x='Name', y='Purcheses', kind='barh', ax=ax1)\n",
    "avg = top_10.Purcheses.mean()\n",
    "ax1.axvline(x=avg, label='Average', c='r', lw=1, ls='-')\n",
    "ax1.set(title='Units', xlabel='Total Units', ylabel=' ')\n",
    "\n",
    "fig.suptitle('2014 Sales Analysis', fontsize=14, fontweight='bold')\n",
    "ax0.legend().set_visible(False)\n",
    "ax1.legend().set_visible(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'eps': 'Encapsulated Postscript',\n",
       " 'jpeg': 'Joint Photographic Experts Group',\n",
       " 'jpg': 'Joint Photographic Experts Group',\n",
       " 'pdf': 'Portable Document Format',\n",
       " 'pgf': 'PGF code for LaTeX',\n",
       " 'png': 'Portable Network Graphics',\n",
       " 'ps': 'Postscript',\n",
       " 'raw': 'Raw RGBA bitmap',\n",
       " 'rgba': 'Raw RGBA bitmap',\n",
       " 'svg': 'Scalable Vector Graphics',\n",
       " 'svgz': 'Scalable Vector Graphics',\n",
       " 'tif': 'Tagged Image File Format',\n",
       " 'tiff': 'Tagged Image File Format'}"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig.canvas.get_supported_filetypes()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}