ml-finance-python

python scripts for finance machine learning

git clone https://9o.is/git/ml-finance-python.git

notebook.ipynb

(81252B)


      1 {
      2  "cells": [
      3   {
      4    "cell_type": "markdown",
      5    "metadata": {},
      6    "source": [
      7     "# Quandl: United Stated Unemployment Rate\n",
      8     "\n",
      9     "In this notebook, we'll take a look at data set , available on [Quantopian](https://www.quantopian.com/data). This dataset spans from 1948 through the current day. It contains the value for the United States unemployment rate provided by the US Federal Reserve via the [FRED data initiative](https://research.stlouisfed.org/fred2/). We access this data via the API provided by [Quandl](https://www.quandl.com). [More details](https://www.quandl.com/data/FRED/UNRATE-Civilian-Unemployment-Rate) on this dataset can be found on Quandl's website.\n",
     10     "\n",
     11     "### Blaze\n",
     12     "Before we dig into the data, we want to tell you about how  you generally access Quantopian partner data sets. These datasets are available using the [Blaze](http://blaze.pydata.org) library. Blaze provides the Quantopian user with a convenient interface to access very large datasets.\n",
     13     "\n",
     14     "Some of these sets (though not this one) are many millions of records. Bringing that data directly into Quantopian Research directly just is not viable. So Blaze allows us to provide a simple querying interface and shift the burden over to the server side.\n",
     15     "\n",
     16     "To learn more about using Blaze and generally accessing Quantopian partner data, clone [this tutorial notebook](https://www.quantopian.com/clone_notebook?id=561827d21777f45c97000054).\n",
     17     "\n",
     18     "With preamble in place, let's get started:"
     19    ]
     20   },
     21   {
     22    "cell_type": "code",
     23    "execution_count": 7,
     24    "metadata": {
     25     "collapsed": true
     26    },
     27    "outputs": [],
     28    "source": [
     29     "# import the dataset\n",
     30     "from quantopian.interactive.data.quandl import fred_unrate\n",
     31     "# Since this data is public domain and provided by Quandl for free, there is no _free version of this\n",
     32     "# data set, as found in the premium sets. This import gets you the entirety of this data set.\n",
     33     "\n",
     34     "# import data operations\n",
     35     "from odo import odo\n",
     36     "# import other libraries we will use\n",
     37     "import pandas as pd\n",
     38     "import matplotlib.pyplot as plt"
     39    ]
     40   },
     41   {
     42    "cell_type": "code",
     43    "execution_count": 8,
     44    "metadata": {
     45     "collapsed": false
     46    },
     47    "outputs": [
     48     {
     49      "data": {
     50       "text/html": [
     51        "<table border=\"1\" class=\"dataframe\">\n",
     52        "  <thead>\n",
     53        "    <tr style=\"text-align: right;\">\n",
     54        "      <th></th>\n",
     55        "      <th>asof_date</th>\n",
     56        "      <th>value</th>\n",
     57        "      <th>timestamp</th>\n",
     58        "    </tr>\n",
     59        "  </thead>\n",
     60        "  <tbody>\n",
     61        "    <tr>\n",
     62        "      <th>0</th>\n",
     63        "      <td>1948-01-01</td>\n",
     64        "      <td>3.4</td>\n",
     65        "      <td>1948-01-01</td>\n",
     66        "    </tr>\n",
     67        "    <tr>\n",
     68        "      <th>1</th>\n",
     69        "      <td>1948-02-01</td>\n",
     70        "      <td>3.8</td>\n",
     71        "      <td>1948-02-01</td>\n",
     72        "    </tr>\n",
     73        "    <tr>\n",
     74        "      <th>2</th>\n",
     75        "      <td>1948-03-01</td>\n",
     76        "      <td>4.0</td>\n",
     77        "      <td>1948-03-01</td>\n",
     78        "    </tr>\n",
     79        "    <tr>\n",
     80        "      <th>3</th>\n",
     81        "      <td>1948-04-01</td>\n",
     82        "      <td>3.9</td>\n",
     83        "      <td>1948-04-01</td>\n",
     84        "    </tr>\n",
     85        "    <tr>\n",
     86        "      <th>4</th>\n",
     87        "      <td>1948-05-01</td>\n",
     88        "      <td>3.5</td>\n",
     89        "      <td>1948-05-01</td>\n",
     90        "    </tr>\n",
     91        "    <tr>\n",
     92        "      <th>5</th>\n",
     93        "      <td>1948-06-01</td>\n",
     94        "      <td>3.6</td>\n",
     95        "      <td>1948-06-01</td>\n",
     96        "    </tr>\n",
     97        "    <tr>\n",
     98        "      <th>6</th>\n",
     99        "      <td>1948-07-01</td>\n",
    100        "      <td>3.6</td>\n",
    101        "      <td>1948-07-01</td>\n",
    102        "    </tr>\n",
    103        "    <tr>\n",
    104        "      <th>7</th>\n",
    105        "      <td>1948-08-01</td>\n",
    106        "      <td>3.9</td>\n",
    107        "      <td>1948-08-01</td>\n",
    108        "    </tr>\n",
    109        "    <tr>\n",
    110        "      <th>8</th>\n",
    111        "      <td>1948-09-01</td>\n",
    112        "      <td>3.8</td>\n",
    113        "      <td>1948-09-01</td>\n",
    114        "    </tr>\n",
    115        "    <tr>\n",
    116        "      <th>9</th>\n",
    117        "      <td>1948-10-01</td>\n",
    118        "      <td>3.7</td>\n",
    119        "      <td>1948-10-01</td>\n",
    120        "    </tr>\n",
    121        "    <tr>\n",
    122        "      <th>10</th>\n",
    123        "      <td>1948-11-01</td>\n",
    124        "      <td>3.8</td>\n",
    125        "      <td>1948-11-01</td>\n",
    126        "    </tr>\n",
    127        "  </tbody>\n",
    128        "</table>"
    129       ],
    130       "text/plain": [
    131        "    asof_date  value  timestamp\n",
    132        "0  1948-01-01    3.4 1948-01-01\n",
    133        "1  1948-02-01    3.8 1948-02-01\n",
    134        "2  1948-03-01    4.0 1948-03-01\n",
    135        "3  1948-04-01    3.9 1948-04-01\n",
    136        "4  1948-05-01    3.5 1948-05-01\n",
    137        "5  1948-06-01    3.6 1948-06-01\n",
    138        "6  1948-07-01    3.6 1948-07-01\n",
    139        "7  1948-08-01    3.9 1948-08-01\n",
    140        "8  1948-09-01    3.8 1948-09-01\n",
    141        "9  1948-10-01    3.7 1948-10-01\n",
    142        "..."
    143       ]
    144      },
    145      "execution_count": 8,
    146      "metadata": {},
    147      "output_type": "execute_result"
    148     }
    149    ],
    150    "source": [
    151     "fred_unrate.sort('asof_date')"
    152    ]
    153   },
    154   {
    155    "cell_type": "markdown",
    156    "metadata": {},
    157    "source": [
    158     "The data goes all the way back to 1947 and is updated monthly.\n",
    159     "\n",
    160     "Blaze provides us with the first 10 rows of the data for display. Just to confirm, let's just count the number of rows in the Blaze expression:"
    161    ]
    162   },
    163   {
    164    "cell_type": "code",
    165    "execution_count": 9,
    166    "metadata": {
    167     "collapsed": false
    168    },
    169    "outputs": [
    170     {
    171      "data": {
    172       "text/html": [
    173        "814"
    174       ],
    175       "text/plain": [
    176        "814"
    177       ]
    178      },
    179      "execution_count": 9,
    180      "metadata": {},
    181      "output_type": "execute_result"
    182     }
    183    ],
    184    "source": [
    185     "fred_unrate.count()"
    186    ]
    187   },
    188   {
    189    "cell_type": "markdown",
    190    "metadata": {},
    191    "source": [
    192     "Let's go plot it for fun. This data set is definitely small enough to just put right into a Pandas DataFrame"
    193    ]
    194   },
    195   {
    196    "cell_type": "code",
    197    "execution_count": 11,
    198    "metadata": {
    199     "collapsed": false
    200    },
    201    "outputs": [
    202     {
    203      "data": {
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LdiZNmoRPPvkkUZsnIiIiIiLqFBsUEBERERFRSmKwQ0REREREKYnBDhERERERpSQGO0RE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JZfjPN7uthdke0ElVGk0JTMk/XKTklJCX71q19l5LHTtUAkbg4eb0CSThmkByfaRmwhxMFMCsFO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\nh4iIiIiIghKTHSIiIiIiCkr/H9HzIzt62aIgAAAAAElFTkSuQmCC\n",
    205       "text/plain": [
    206        "<matplotlib.figure.Figure at 0x7fe92d917f10>"
    207       ]
    208      },
    209      "metadata": {},
    210      "output_type": "display_data"
    211     }
    212    ],
    213    "source": [
    214     "unrate_df = odo(fred_unrate, pd.DataFrame)\n",
    215     "\n",
    216     "unrate_df.plot(x='asof_date', y='value')\n",
    217     "plt.xlabel(\"As Of Date (asof_date)\")\n",
    218     "plt.ylabel(\"Unemployment Rate\")\n",
    219     "plt.title(\"United States Unemployment Rate\")\n",
    220     "plt.legend().set_visible(False)"
    221    ]
    222   },
    223   {
    224    "cell_type": "code",
    225    "execution_count": null,
    226    "metadata": {
    227     "collapsed": true
    228    },
    229    "outputs": [],
    230    "source": []
    231   }
    232  ],
    233  "metadata": {
    234   "kernelspec": {
    235    "display_name": "Python 2",
    236    "language": "python",
    237    "name": "python2"
    238   },
    239   "language_info": {
    240    "codemirror_mode": {
    241     "name": "ipython",
    242     "version": 2
    243    },
    244    "file_extension": ".py",
    245    "mimetype": "text/x-python",
    246    "name": "python",
    247    "nbconvert_exporter": "python",
    248    "pygments_lexer": "ipython2",
    249    "version": "2.7.10"
    250   }
    251  },
    252  "nbformat": 4,
    253  "nbformat_minor": 0
    254 }