{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Quandl: US vs. EUR Exchange Rate\n", "\n", "In this notebook, we'll take a look at data set , available on [Quantopian](https://www.quantopian.com/data). This dataset spans from 1999 through the current day. It contains the daily exchange rates for the US Dollar (USD) vs. the European EURO (EUR) We access this data via the API provided by [Quandl](https://www.quandl.com). [More details](https://www.quandl.com/data/CURRFX/USDEUR-Currency-Exchange-Rates-USD-vs-EUR) on this dataset can be found on Quandl's website.\n", "\n", "### Blaze\n", "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", "\n", "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", "\n", "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", "\n", "With preamble in place, let's get started:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# import the dataset\n", "from quantopian.interactive.data.quandl import currfx_usdeur\n", "# Since this data is public domain and provided by Quandl for free, there is no _free version of this\n", "# data set, as found in the premium sets. This import gets you the entirety of this data set.\n", "\n", "# import data operations\n", "from odo import odo\n", "# import other libraries we will use\n", "import pandas as pd\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
asof_dateratehigh__est_low__est_timestamp
01999-09-060.9410190.952690.929491999-09-06
11999-09-070.9455000.956360.934761999-09-07
21999-09-080.9443760.955880.933011999-09-08
31999-09-090.9436970.954120.933391999-09-09
41999-09-100.9480080.000000.000001999-09-10
51999-09-130.9598380.971430.948381999-09-13
61999-09-140.9648730.976230.953651999-09-14
71999-09-150.9653780.977080.953821999-09-15
81999-09-160.9631420.973930.952481999-09-16
91999-09-170.9619710.000000.000001999-09-17
101999-09-200.9609170.000000.000001999-09-20
" ], "text/plain": [ " asof_date rate high__est_ low__est_ timestamp\n", "0 1999-09-06 0.941019 0.95269 0.92949 1999-09-06\n", "1 1999-09-07 0.945500 0.95636 0.93476 1999-09-07\n", "2 1999-09-08 0.944376 0.95588 0.93301 1999-09-08\n", "3 1999-09-09 0.943697 0.95412 0.93339 1999-09-09\n", "4 1999-09-10 0.948008 0.00000 0.00000 1999-09-10\n", "5 1999-09-13 0.959838 0.97143 0.94838 1999-09-13\n", "6 1999-09-14 0.964873 0.97623 0.95365 1999-09-14\n", "7 1999-09-15 0.965378 0.97708 0.95382 1999-09-15\n", "8 1999-09-16 0.963142 0.97393 0.95248 1999-09-16\n", "9 1999-09-17 0.961971 0.00000 0.00000 1999-09-17\n", "..." ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "currfx_usdeur.sort('asof_date')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The data goes all the way back to 1999 and is updated daily.\n", "\n", "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:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "4240" ], "text/plain": [ "4240" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "currfx_usdeur.count()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's go plot it for fun. This data set is definitely small enough to just put right into a Pandas DataFrame" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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EEY/Bh4iIiIiIIh6DDxERERERRTwGHyIiIiIiingMPkREREREFPEYfIiIiIiIKOIx+BAR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Zt6dMzu8NpHBwEAyTpVJ1tGBq3HEe2V/x7AodONcLncaO+wh9wDR6mQIclzLZN1SmjVchwra8Yd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\nEREREYf3/wFuezA6SG2FIAAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "usdeur_df = odo(currfx_usdeur, pd.DataFrame)\n", "\n", "usdeur_df.plot(x='asof_date', y='rate')\n", "plt.xlabel(\"As Of Date (asof_date)\")\n", "plt.ylabel(\"Exchange Rate\")\n", "plt.title(\"USD vs. EUR Exchange Rate\")\n", "plt.legend().set_visible(False)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }