python_pandas-ders4demo

ders4demo.ipynb

{
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  "name": "",
  "signature": "sha256:ee8f3b7e8d76ef512e59c5ff1cef0f73f03abe19c8673dac831d7c682a7feaf3"
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 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "%pylab inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Populating the interactive namespace from numpy and matplotlib\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Dataframe'e weekday(haftan\u0131n g\u00fcnleri) kolonunu ekleyelim."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weather = pd.read_csv('dosya/weather.csv',parse_dates=['date'], dayfirst=True, index_col='date')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "sadece temperature olan bir dataframe olu\u015ftural\u0131m."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "temp = weather[['temperature']]\n",
      "outlook = weather[['outlook']]\n",
      "outlook"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>outlook</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>date</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2014-12-01</th>\n",
        "      <td>    sunny</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2014-12-02</th>\n",
        "      <td>    sunny</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2014-12-03</th>\n",
        "      <td> overcast</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2014-12-04</th>\n",
        "      <td>    rainy</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2014-12-05</th>\n",
        "      <td>    rainy</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2014-12-06</th>\n",
        "      <td>    rainy</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2014-12-07</th>\n",
        "      <td> overcast</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2014-12-08</th>\n",
        "      <td>    sunny</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2014-12-09</th>\n",
        "      <td>    sunny</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2014-12-10</th>\n",
        "      <td>    rainy</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2014-12-11</th>\n",
        "      <td>    sunny</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2014-12-12</th>\n",
        "      <td> overcast</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2014-12-13</th>\n",
        "      <td> overcast</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2014-12-14</th>\n",
        "      <td>    rainy</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>14 rows \u00d7 1 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "             outlook\n",
        "date                \n",
        "2014-12-01     sunny\n",
        "2014-12-02     sunny\n",
        "2014-12-03  overcast\n",
        "2014-12-04     rainy\n",
        "2014-12-05     rainy\n",
        "2014-12-06     rainy\n",
        "2014-12-07  overcast\n",
        "2014-12-08     sunny\n",
        "2014-12-09     sunny\n",
        "2014-12-10     rainy\n",
        "2014-12-11     sunny\n",
        "2014-12-12  overcast\n",
        "2014-12-13  overcast\n",
        "2014-12-14     rainy\n",
        "\n",
        "[14 rows x 1 columns]"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "weekday(haftan\u0131n g\u00fcnleri) kolonu ekleyelim.\n",
      "haftan\u0131n g\u00fcnlerine .index ile ula\u015fabiliriz."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "temp.index"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "<class 'pandas.tseries.index.DatetimeIndex'>\n",
        "[2014-12-01, ..., 2014-12-14]\n",
        "Length: 14, Freq: None, Timezone: None"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "outlook.index"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "<class 'pandas.tseries.index.DatetimeIndex'>\n",
        "[2014-12-01, ..., 2014-12-14]\n",
        "Length: 14, Freq: None, Timezone: None"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "pandas\u0131n time series fonksiyonelli\u011fi var. e\u011fer biz her bir sat\u0131r i\u00e7in ay\u0131n g\u00fcnlerine ula\u015fmak istersek:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "temp.index.day"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14], dtype=int32)"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "outlook.index.day"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14], dtype=int32)"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "ayn\u0131 \u015fekilde hangi g\u00fcn oldu\u011funa da weekday ile ula\u015fabiliriz."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "temp.index.weekday"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "array([0, 1, 2, 3, 4, 5, 6, 0, 1, 2, 3, 4, 5, 6], dtype=int32)"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "outlook.index.weekday"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "array([0, 1, 2, 3, 4, 5, 6, 0, 1, 2, 3, 4, 5, 6], dtype=int32)"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Bize ay\u0131n g\u00fcnlerini g\u00f6steriyor. 0 pazartesidir.  \n",
      "haftan\u0131n g\u00fcnlerine nas\u0131l ula\u015faca\u011f\u0131m\u0131z\u0131 bulduk bunu dataframimize ekleyebiliriz."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "temp['weekday'] = temp.index.weekday"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\n",
      "outlook['weekday'] = outlook.index.weekday"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "temp.groupby('weekday').aggregate(mean)  \n",
      "kodu sat\u0131rlar\u0131 haftan\u0131n g\u00fcnlerine g\u00f6re grupla ve sonra ayn\u0131 g\u00fcnlerin de\u011ferlerinin mean de\u011ferini al."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weekday_counts=temp.groupby('weekday').aggregate(mean)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weekday_counts2=outlook[outlook['outlook']== 'sunny'].groupby('weekday').size()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weekday_counts2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "weekday\n",
        "0          2\n",
        "1          2\n",
        "3          1\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weekday_counts.index = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']\n",
      "weekday_counts"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>temperature</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>Monday</th>\n",
        "      <td> 78.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Tuesday</th>\n",
        "      <td> 74.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Wednesday</th>\n",
        "      <td> 79.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Thursday</th>\n",
        "      <td> 72.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Friday</th>\n",
        "      <td> 70.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Saturday</th>\n",
        "      <td> 73.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Sunday</th>\n",
        "      <td> 67.5</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>7 rows \u00d7 1 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "           temperature\n",
        "Monday            78.5\n",
        "Tuesday           74.5\n",
        "Wednesday         79.0\n",
        "Thursday          72.5\n",
        "Friday            70.0\n",
        "Saturday          73.0\n",
        "Sunday            67.5\n",
        "\n",
        "[7 rows x 1 columns]"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weekday_counts.plot(kind='bar')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 16,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x7fa2f20bca10>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Txr/uUt6+fx24GfgX4N3Avr5xCkt5zJMyRvir+BSwFjjENU0x84BfAX4IfJcw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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7fa2f20bc0d0>"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "weekday_counts2.plot(kind='bar')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x7fa2f1fd1c10>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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       "text": [
        "<matplotlib.figure.Figure at 0x7fa2f20a03d0>"
       ]
      }
     ],
     "prompt_number": 17
    }
   ],
   "metadata": {}
  }
 ]
}