{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Getting Started\n", "\n", "This is a simple example of the basic capabilities of `aneris`.\n", "\n", "First, model and history data are read in. The model is then harmonized. Finally, output is analyzed." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import pandas as pd\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "import aneris\n", "from aneris.tutorial import load_data\n", "\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `driver` is used to execute the harmonization. It will handle the data formatting needed to execute the harmonizaiton operation and stores the harmonized results until they are needed.\n", "\n", "Some logging output is provided. It can be suppressed with \n", "\n", "```\n", "aneris.logger().setLevel('WARN')\n", "```" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:root:Downselecting prefix|suffix variables\n", "INFO:root:Translating to standard format\n", "INFO:root:Aggregating historical values to native regions\n", "INFO:root:Harmonizing (with example methods):\n", "INFO:root: method default \\\n", "region gas sector units \n", "regionc BC prefix|sector1|suffix kt reduce_ratio_2100 reduce_ratio_2080 \n", " prefix|sector2|suffix kt reduce_ratio_2100 reduce_ratio_2080 \n", "\n", " override \n", "region gas sector units \n", "regionc BC prefix|sector1|suffix kt reduce_ratio_2100 \n", " prefix|sector2|suffix kt reduce_ratio_2100 \n", "INFO:root:and override methods:\n", "INFO:root:region gas sector units\n", "regionc BC prefix|sector1|suffix kt reduce_ratio_2100\n", " prefix|sector2|suffix kt reduce_ratio_2100\n", "Name: method, dtype: object\n", "INFO:root:Harmonizing with reduce_ratio_2100\n", "INFO:root:Translating to IAMC template\n" ] } ], "source": [ "model, hist, driver = load_data()\n", "for scenario in driver.scenarios():\n", " driver.harmonize(scenario)\n", "harmonized, metadata = driver.harmonized_results()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "All data of interest is combined in order to easily view it. We will specifically investigate output for the `World` in this example. A few operations are performed in order to get the data into a plotting-friendly format." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [], "source": [ "data = pd.concat([hist, model, harmonized])\n", "df = data[data.Region.isin(['World'])]" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [], "source": [ "df = pd.melt(df, id_vars=aneris.iamc_idx, value_vars=aneris.numcols(df), \n", " var_name='Year', value_name='Emissions')\n", "df['Label'] = df['Model'] + ' ' + df['Variable']" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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ModelScenarioRegionVariableYearEmissionsLabel
0HistoryscenWorldprefix|Emissions|BC|sector1|suffix20004.0History prefix|Emissions|BC|sector1|suffix
1HistoryscenWorldprefix|Emissions|BC|sector2|suffix20006.0History prefix|Emissions|BC|sector2|suffix
2HistoryscenWorldprefix|Emissions|BC|suffix200010.0History prefix|Emissions|BC|suffix
3modelsspnWorldprefix|Emissions|BC|sector1|suffix2000NaNmodel prefix|Emissions|BC|sector1|suffix
4modelsspnWorldprefix|Emissions|BC|sector2|suffix2000NaNmodel prefix|Emissions|BC|sector2|suffix
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" ], "text/plain": [ " Model Scenario Region Variable Year \\\n", "0 History scen World prefix|Emissions|BC|sector1|suffix 2000 \n", "1 History scen World prefix|Emissions|BC|sector2|suffix 2000 \n", "2 History scen World prefix|Emissions|BC|suffix 2000 \n", "3 model sspn World prefix|Emissions|BC|sector1|suffix 2000 \n", "4 model sspn World prefix|Emissions|BC|sector2|suffix 2000 \n", "\n", " Emissions Label \n", "0 4.0 History prefix|Emissions|BC|sector1|suffix \n", "1 6.0 History prefix|Emissions|BC|sector2|suffix \n", "2 10.0 History prefix|Emissions|BC|suffix \n", "3 NaN model prefix|Emissions|BC|sector1|suffix \n", "4 NaN model prefix|Emissions|BC|sector2|suffix " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": 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1NLTZlPf73SKV9T2IypkRJyidqNx/fMgnLB+DbGreydJolGXRGBuamgBLK3VkURFVkTCV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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.tsplot(df, time='Year', condition='Label', value='Emissions', unit='Model')\n", "plt.legend(bbox_to_anchor=(1.05, 1))" ] } ], "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": "2.7.12" } }, "nbformat": 4, "nbformat_minor": 1 }