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Jupyter Notebook pandas read_csv plot

Feb 16th, 2019
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  1. {
  2.  "cells": [
  3.   {
  4.    "cell_type": "code",
  5.    "execution_count": 1,
  6.    "metadata": {},
  7.    "outputs": [],
  8.    "source": [
  9.     "import pandas as pd\n"
  10.    ]
  11.   },
  12.   {
  13.    "cell_type": "code",
  14.    "execution_count": 30,
  15.    "metadata": {},
  16.    "outputs": [],
  17.    "source": [
  18.     "filepath = r'city.csv'\n",
  19.     "\n",
  20.     "columns = ['city','sex','age','click','cost']\n",
  21.     "\n",
  22.     "df  = pd.read_csv(filepath,sep=',',header=None,names=columns)"
  23.    ]
  24.   },
  25.   {
  26.    "cell_type": "code",
  27.    "execution_count": 31,
  28.    "metadata": {},
  29.    "outputs": [
  30.     {
  31.      "data": {
  32.       "text/html": [
  33.        "<div>\n",
  34.        "<style scoped>\n",
  35.        "    .dataframe tbody tr th:only-of-type {\n",
  36.        "        vertical-align: middle;\n",
  37.        "    }\n",
  38.        "\n",
  39.        "    .dataframe tbody tr th {\n",
  40.        "        vertical-align: top;\n",
  41.        "    }\n",
  42.        "\n",
  43.        "    .dataframe thead th {\n",
  44.        "        text-align: right;\n",
  45.        "    }\n",
  46.        "</style>\n",
  47.        "<table border=\"1\" class=\"dataframe\">\n",
  48.        "  <thead>\n",
  49.        "    <tr style=\"text-align: right;\">\n",
  50.        "      <th></th>\n",
  51.        "      <th>city</th>\n",
  52.        "      <th>sex</th>\n",
  53.        "      <th>age</th>\n",
  54.        "      <th>click</th>\n",
  55.        "      <th>cost</th>\n",
  56.        "    </tr>\n",
  57.        "  </thead>\n",
  58.        "  <tbody>\n",
  59.        "    <tr>\n",
  60.        "      <th>0</th>\n",
  61.        "      <td>Симферополь</td>\n",
  62.        "      <td>женский</td>\n",
  63.        "      <td>35-44</td>\n",
  64.        "      <td>85</td>\n",
  65.        "      <td>54</td>\n",
  66.        "    </tr>\n",
  67.        "    <tr>\n",
  68.        "      <th>1</th>\n",
  69.        "      <td>Симферополь</td>\n",
  70.        "      <td>мужской</td>\n",
  71.        "      <td>25-34</td>\n",
  72.        "      <td>65</td>\n",
  73.        "      <td>0</td>\n",
  74.        "    </tr>\n",
  75.        "    <tr>\n",
  76.        "      <th>2</th>\n",
  77.        "      <td>Керчь</td>\n",
  78.        "      <td>мужской</td>\n",
  79.        "      <td>45-54</td>\n",
  80.        "      <td>67</td>\n",
  81.        "      <td>0</td>\n",
  82.        "    </tr>\n",
  83.        "    <tr>\n",
  84.        "      <th>3</th>\n",
  85.        "      <td>Севастополь</td>\n",
  86.        "      <td>не определен</td>\n",
  87.        "      <td>25-34</td>\n",
  88.        "      <td>67</td>\n",
  89.        "      <td>0</td>\n",
  90.        "    </tr>\n",
  91.        "    <tr>\n",
  92.        "      <th>4</th>\n",
  93.        "      <td>Симферополь</td>\n",
  94.        "      <td>женский</td>\n",
  95.        "      <td>старше 55</td>\n",
  96.        "      <td>87</td>\n",
  97.        "      <td>0</td>\n",
  98.        "    </tr>\n",
  99.        "    <tr>\n",
  100.        "      <th>5</th>\n",
  101.        "      <td>Севастополь</td>\n",
  102.        "      <td>не определен</td>\n",
  103.        "      <td>не определен</td>\n",
  104.        "      <td>0</td>\n",
  105.        "      <td>0</td>\n",
  106.        "    </tr>\n",
  107.        "    <tr>\n",
  108.        "      <th>6</th>\n",
  109.        "      <td>Ялта</td>\n",
  110.        "      <td>женский</td>\n",
  111.        "      <td>35-44</td>\n",
  112.        "      <td>77</td>\n",
  113.        "      <td>0</td>\n",
  114.        "    </tr>\n",
  115.        "    <tr>\n",
  116.        "      <th>7</th>\n",
  117.        "      <td>Симферополь</td>\n",
  118.        "      <td>женский</td>\n",
  119.        "      <td>45-54</td>\n",
  120.        "      <td>68</td>\n",
  121.        "      <td>0</td>\n",
  122.        "    </tr>\n",
  123.        "    <tr>\n",
  124.        "      <th>8</th>\n",
  125.        "      <td>Симферополь</td>\n",
  126.        "      <td>женский</td>\n",
  127.        "      <td>старше 55</td>\n",
  128.        "      <td>92</td>\n",
  129.        "      <td>108</td>\n",
  130.        "    </tr>\n",
  131.        "    <tr>\n",
  132.        "      <th>9</th>\n",
  133.        "      <td>Керчь</td>\n",
  134.        "      <td>мужской</td>\n",
  135.        "      <td>45-54</td>\n",
  136.        "      <td>68</td>\n",
  137.        "      <td>0</td>\n",
  138.        "    </tr>\n",
  139.        "    <tr>\n",
  140.        "      <th>10</th>\n",
  141.        "      <td>Армянск</td>\n",
  142.        "      <td>женский</td>\n",
  143.        "      <td>35-44</td>\n",
  144.        "      <td>91</td>\n",
  145.        "      <td>0</td>\n",
  146.        "    </tr>\n",
  147.        "    <tr>\n",
  148.        "      <th>11</th>\n",
  149.        "      <td>Симферополь</td>\n",
  150.        "      <td>женский</td>\n",
  151.        "      <td>35-44</td>\n",
  152.        "      <td>4</td>\n",
  153.        "      <td>0</td>\n",
  154.        "    </tr>\n",
  155.        "    <tr>\n",
  156.        "      <th>12</th>\n",
  157.        "      <td>Симферополь</td>\n",
  158.        "      <td>женский</td>\n",
  159.        "      <td>35-44</td>\n",
  160.        "      <td>76</td>\n",
  161.        "      <td>0</td>\n",
  162.        "    </tr>\n",
  163.        "  </tbody>\n",
  164.        "</table>\n",
  165.        "</div>"
  166.       ],
  167.       "text/plain": [
  168.        "           city           sex           age  click  cost\n",
  169.        "0   Симферополь       женский         35-44     85    54\n",
  170.        "1   Симферополь       мужской         25-34     65     0\n",
  171.        "2         Керчь       мужской         45-54     67     0\n",
  172.        "3   Севастополь  не определен         25-34     67     0\n",
  173.        "4   Симферополь       женский     старше 55     87     0\n",
  174.        "5   Севастополь  не определен  не определен      0     0\n",
  175.        "6          Ялта       женский         35-44     77     0\n",
  176.        "7   Симферополь       женский         45-54     68     0\n",
  177.        "8   Симферополь       женский     старше 55     92   108\n",
  178.        "9         Керчь       мужской         45-54     68     0\n",
  179.        "10      Армянск       женский         35-44     91     0\n",
  180.        "11  Симферополь       женский         35-44      4     0\n",
  181.        "12  Симферополь       женский         35-44     76     0"
  182.       ]
  183.      },
  184.      "execution_count": 31,
  185.      "metadata": {},
  186.      "output_type": "execute_result"
  187.     }
  188.    ],
  189.    "source": [
  190.     "df\n"
  191.    ]
  192.   },
  193.   {
  194.    "cell_type": "code",
  195.    "execution_count": 34,
  196.    "metadata": {},
  197.    "outputs": [
  198.     {
  199.      "data": {
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\n",
  201.       "text/plain": [
  202.        "<Figure size 432x288 with 1 Axes>"
  203.       ]
  204.      },
  205.      "metadata": {},
  206.      "output_type": "display_data"
  207.     }
  208.    ],
  209.    "source": [
  210.     "ax = df.plot()\n",
  211.     "ax.set_xticks(df.index)\n",
  212.     "labels = ax.set_xticklabels(df.city, rotation=90)"
  213.    ]
  214.   },
  215.   {
  216.    "cell_type": "code",
  217.    "execution_count": 36,
  218.    "metadata": {},
  219.    "outputs": [
  220.     {
  221.      "data": {
  222.       "image/png": 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\n",
  223.       "text/plain": [
  224.        "<Figure size 432x288 with 1 Axes>"
  225.       ]
  226.      },
  227.      "metadata": {},
  228.      "output_type": "display_data"
  229.     }
  230.    ],
  231.    "source": [
  232.     "ax = df.plot()\n",
  233.     "ax.set_xticks(df.index)\n",
  234.     "labels = ax.set_xticklabels(df.age, rotation=90)"
  235.    ]
  236.   },
  237.   {
  238.    "cell_type": "code",
  239.    "execution_count": 37,
  240.    "metadata": {},
  241.    "outputs": [
  242.     {
  243.      "data": {
  244.       "image/png": 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\n",
  245.       "text/plain": [
  246.        "<Figure size 432x288 with 1 Axes>"
  247.       ]
  248.      },
  249.      "metadata": {},
  250.      "output_type": "display_data"
  251.     }
  252.    ],
  253.    "source": [
  254.     "ax = df.plot()\n",
  255.     "ax.set_xticks(df.index)\n",
  256.     "labels = ax.set_xticklabels(df.sex, rotation=90)"
  257.    ]
  258.   },
  259.   {
  260.    "cell_type": "code",
  261.    "execution_count": null,
  262.    "metadata": {},
  263.    "outputs": [],
  264.    "source": []
  265.   }
  266.  ],
  267.  "metadata": {
  268.   "kernelspec": {
  269.    "display_name": "Python [default]",
  270.    "language": "python",
  271.    "name": "python3"
  272.   },
  273.   "language_info": {
  274.    "codemirror_mode": {
  275.     "name": "ipython",
  276.     "version": 3
  277.    },
  278.    "file_extension": ".py",
  279.    "mimetype": "text/x-python",
  280.    "name": "python",
  281.    "nbconvert_exporter": "python",
  282.    "pygments_lexer": "ipython3",
  283.    "version": "3.6.5"
  284.   }
  285.  },
  286.  "nbformat": 4,
  287.  "nbformat_minor": 2
  288. }
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