diff --git a/_solved/case-air_quality-part1.ipynb b/_solved/case-air_quality-part1.ipynb new file mode 100644 index 0000000..e610170 --- /dev/null +++ b/_solved/case-air_quality-part1.ipynb @@ -0,0 +1,1880 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

Case study: air quality data of European monitoring stations (AirBase)


\n", + "**AirBase (The European Air quality dataBase): hourly measurements of all air quality monitoring stations from Europe. **\n", + "\n", + "> *DS Data manipulation, analysis and visualisation in Python* \n", + "> *December, 2016*\n", + "\n", + "> *© 2016, Joris Van den Bossche and Stijn Van Hoey (, ). Licensed under [CC BY 4.0 Creative Commons](http://creativecommons.org/licenses/by/4.0/)*\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from IPython.display import HTML\n", + "HTML('')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Some of the data files that are available from AirBase were included in the data folder: the hourly concentrations of nitrogen dioxide (NO2) for 4 different measurement stations:\n", + "\n", + "- FR04037 (PARIS 13eme): urban background site at Square de Choisy\n", + "- FR04012 (Paris, Place Victor Basch): urban traffic site at Rue d'Alesia\n", + "- BETR802: urban traffic site in Antwerp, Belgium\n", + "- BETN029: rural background site in Houtem, Belgium\n", + "\n", + "See http://www.eea.europa.eu/themes/air/interactive/no2" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + }, + "slideshow": { + "slide_type": "-" + } + }, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "pd.options.display.max_rows = 8\n", + "plt.style.use(\"seaborn-whitegrid\")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Processing a single file\n", + "\n", + "We will start with processing one of the downloaded files (`BETR8010000800100hour.1-1-1990.31-12-2012`). Looking at the data, you will see it does not look like a nice csv file:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1990-01-01\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\t-999.000\t0\n", + "\n" + ] + } + ], + "source": [ + "with open(\"../data/BETR8010000800100hour.1-1-1990.31-12-2012\") as f:\n", + " print(f.readline())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So we will need to do some manual processing." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Just reading the tab-delimited data:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [], + "source": [ + "data = pd.read_csv(\"../data/BETR8010000800100hour.1-1-1990.31-12-2012\", sep='\\t')#, header=None)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " 1990-01-01 -999.000 0 -999.000.1 0.1 -999.000.2 0.2 -999.000.3 0.3 \\\n", + "0 1990-01-02 -999.0 0 -999.0 0 -999.0 0 -999.0 0 \n", + "1 1990-01-03 51.0 1 50.0 1 47.0 1 48.0 1 \n", + "2 1990-01-04 -999.0 0 -999.0 0 -999.0 0 -999.0 0 \n", + "3 1990-01-05 51.0 1 51.0 1 48.0 1 50.0 1 \n", + "4 1990-01-06 -999.0 0 -999.0 0 -999.0 0 -999.0 0 \n", + "\n", + " -999.000.4 ... -999.000.19 0.19 -999.000.20 0.20 -999.000.21 0.21 \\\n", + "0 -999.0 ... 57.0 1 58.0 1 54.0 1 \n", + "1 51.0 ... 84.0 1 75.0 1 -999.0 0 \n", + "2 -999.0 ... 69.0 1 65.0 1 64.0 1 \n", + "3 51.0 ... -999.0 0 -999.0 0 -999.0 0 \n", + "4 -999.0 ... -999.0 0 -999.0 0 -999.0 0 \n", + "\n", + " -999.000.22 0.22 -999.000.23 0.23 \n", + "0 49.0 1 48.0 1 \n", + "1 -999.0 0 -999.0 0 \n", + "2 60.0 1 59.0 1 \n", + "3 -999.0 0 -999.0 0 \n", + "4 -999.0 0 -999.0 0 \n", + "\n", + "[5 rows x 49 columns]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The above data is clearly not ready to be used! Each row contains the 24 measurements for each hour of the day, and also contains a flag (0/1) indicating the quality of the data." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "
\n", + "\n", + "EXERCISE:

Clean up this dataframe using more options of `read_csv`\n", + "\n", + "
    \n", + "
  • specify that the values of -999 and -9999 should be regarded as NaN
    • \n", + "
  • specify are own column names (http://stackoverflow.com/questions/6356041/python-intertwining-two-lists)\n", + "
\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": true, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [], + "source": [ + "hours = [\"{:02d}\".format(i) for i in range(24)]" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "clear_cell": true, + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [], + "source": [ + "colnames = ['date'] + [item for pair in zip(hours, ['flag']*24) for item in pair]\n", + "\n", + "data = pd.read_csv(\"../data/BETR8010000800100hour.1-1-1990.31-12-2012\",\n", + " sep='\\t', header=None, na_values=[-999, -9999], names=colnames)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "clear_cell": true, + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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..................................................................
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\n", + "\n", + "REMEMBER: \n", + "\n", + "
    \n", + "
  • Recap: reshaping your data with [`stack` and `unstack`](./pandas_07_reshaping_data.ipynb)
    • \n", + "
\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "fragment" + } + }, + "source": [ + "The docs say:\n", + "\n", + "> Pivot a level of the (possibly hierarchical) column labels, returning a\n", + "DataFrame (or Series in the case of an object with a single level of\n", + "column labels) having a hierarchical index with a new inner-most level\n", + "of row labels.\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can use `stack` and some other functions to create a time series from the original DataFrame:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + "\n", + "EXERCISE:\n", + "\n", + "
    \n", + "
  • Reshape the dataframe to a timeseries
    • \n", + "
\n", + "\n", + "


\n", + "\n", + "The end result should look like:

\n", + "\n", + "\n", + "
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BETR801
1990-01-02 09:00:0048.0
1990-01-02 12:00:0048.0
1990-01-02 13:00:0050.0
1990-01-02 14:00:0055.0
......
2012-12-31 20:00:0016.5
2012-12-31 21:00:0014.5
2012-12-31 22:00:0016.5
2012-12-31 23:00:0015.0
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170794 rows × 1 columns

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" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, reshape the dataframe so that each row consists of one observation for one date + hour combination:" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "clear_cell": true, + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [], + "source": [ + "data = data.set_index('date')" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "clear_cell": true, + "collapsed": true, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [], + "source": [ + "data_stacked = data.stack()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "clear_cell": true, + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "date \n", + "1990-01-02 09 48.0\n", + " 12 48.0\n", + " 13 50.0\n", + " 14 55.0\n", + " ... \n", + "2012-12-31 20 16.5\n", + " 21 14.5\n", + " 22 16.5\n", + " 23 15.0\n", + "dtype: float64" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_stacked" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Now, combine the date and hour colums into a datetime (tip: string columns can be summed to concatenate the strings):" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "clear_cell": true, + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [], + "source": [ + "data_stacked = data_stacked.reset_index(name='BETR801')" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "clear_cell": true, + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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datelevel_1BETR801
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11990-01-021248.0
21990-01-021350.0
31990-01-021455.0
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" + ], + "text/plain": [ + " date level_1 BETR801\n", + "0 1990-01-02 09 48.0\n", + "1 1990-01-02 12 48.0\n", + "2 1990-01-02 13 50.0\n", + "3 1990-01-02 14 55.0\n", + "4 1990-01-02 15 59.0" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_stacked.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "clear_cell": true, + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [], + "source": [ + "data_stacked.index = pd.to_datetime(data_stacked['date'] + data_stacked['level_1'], format=\"%Y-%m-%d%H\")" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "clear_cell": true, + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [], + "source": [ + "data_stacked = data_stacked.drop(['date', 'level_1'], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "clear_cell": true, + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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BETR801
1990-01-02 09:00:0048.0
1990-01-02 12:00:0048.0
1990-01-02 13:00:0050.0
1990-01-02 14:00:0055.0
......
2012-12-31 20:00:0016.5
2012-12-31 21:00:0014.5
2012-12-31 22:00:0016.5
2012-12-31 23:00:0015.0
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170794 rows × 1 columns

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" + ], + "text/plain": [ + " BETR801\n", + "1990-01-02 09:00:00 48.0\n", + "1990-01-02 12:00:00 48.0\n", + "1990-01-02 13:00:00 50.0\n", + "1990-01-02 14:00:00 55.0\n", + "... ...\n", + "2012-12-31 20:00:00 16.5\n", + "2012-12-31 21:00:00 14.5\n", + "2012-12-31 22:00:00 16.5\n", + "2012-12-31 23:00:00 15.0\n", + "\n", + "[170794 rows x 1 columns]" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_stacked" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Our final data is now a time series. In pandas, this means that the index is a `DatetimeIndex`:" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "DatetimeIndex(['1990-01-02 09:00:00', '1990-01-02 12:00:00',\n", + " '1990-01-02 13:00:00', '1990-01-02 14:00:00',\n", + " '1990-01-02 15:00:00', '1990-01-02 16:00:00',\n", + " '1990-01-02 17:00:00', '1990-01-02 18:00:00',\n", + " '1990-01-02 19:00:00', '1990-01-02 20:00:00',\n", + " ...\n", + " '2012-12-31 12:00:00', '2012-12-31 13:00:00',\n", + " '2012-12-31 16:00:00', '2012-12-31 17:00:00',\n", + " '2012-12-31 18:00:00', '2012-12-31 19:00:00',\n", + " '2012-12-31 20:00:00', '2012-12-31 21:00:00',\n", + " '2012-12-31 22:00:00', '2012-12-31 23:00:00'],\n", + " dtype='datetime64[ns]', length=170794, freq=None)" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_stacked.index" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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YriL+ukjxZWXN2jG6jBih/f+tt4THv3kz8O67pq8bK8cNG4CPP254/vPPtX4e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\nyAy22TE8JtwTEnSCkB6baug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We have however multiple files for the different stations with the same structure. Therefore, to not have to repeat the actual code, let's make a function from the steps we have seen above." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + "\n", + "EXERCISE:\n", + "\n", + "
    \n", + "
  • Write a function `read_airbase_file(filename, station)` that returns a processed timeseries.
    • \n", + "
\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": true, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [], + "source": [ + "def read_airbase_file(filename, station):\n", + " \n", + " # construct the column names \n", + " hours = [\"{:02d}\".format(i) for i in range(24)]\n", + " colnames = ['date'] + [item for pair in zip(hours, ['flag']*24) for item in pair]\n", + " \n", + " # read the actual data\n", + " data = pd.read_csv(filename, sep='\\t', header=None, na_values=[-999, -9999], names=colnames)\n", + " \n", + " # drop the 'flag' columns\n", + " data = data.drop([col for col in data.columns if 'flag' in col], axis=1)\n", + "\n", + " # reshape\n", + " data = data.set_index('date')\n", + " data_stacked = data.stack()\n", + " data_stacked = data_stacked.reset_index(name=station)\n", + " data_stacked.index = pd.to_datetime(data_stacked['date'] + data_stacked['level_1'], format=\"%Y-%m-%d%H\")\n", + " data_stacked = data_stacked.drop(['date', 'level_1'], axis=1)\n", + " \n", + " return data_stacked" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "collapsed": true, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [], + "source": [ + "filename = \"../data/BETR8010000800100hour.1-1-1990.31-12-2012\"" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "collapsed": true, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [], + "source": [ + "station = filename.split(\"/\")[-1][:7]" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'BETR801'" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "station" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "clear_cell": true, + "collapsed": false, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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Therefore, let's save the processed data to a csv file." + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "collapsed": true, + "run_control": { + "frozen": false, + "read_only": false + } + }, + "outputs": [], + "source": [ + "combined_df.to_csv(\"airbase_data.csv\")" + ] + } + ], + "metadata": { + "celltoolbar": "Nbtutor - export exercises", + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.2" + }, + "nav_menu": {}, + "toc": { + "navigate_menu": true, + "number_sections": true, + "sideBar": true, + "threshold": 6, + "toc_cell": false, + "toc_section_display": "block", + "toc_window_display": true + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/_solved/case-air_quality-part2.ipynb b/_solved/case-air_quality-part2.ipynb new file mode 100644 index 0000000..0dbb9ed --- /dev/null +++ b/_solved/case-air_quality-part2.ipynb @@ -0,0 +1,3567 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "# Case study: air quality data of European monitoring stations (AirBase)\n", + "\n", + "AirBase (The European Air quality dataBase): hourly measurements of all air quality monitoring stations from Europe. " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "Some imports:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false, + "slideshow": { + "slide_type": "-" + } + }, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "try:\n", + " import seaborn\n", + "except:\n", + " pass\n", + "\n", + "pd.options.display.max_rows = 8" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from IPython.display import HTML\n", + "HTML('')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "I downloaded and preprocessed some of the data ([python-airbase](https://github.com/jorisvandenbossche/python-airbase)): `data/airbase_data.csv`. This file includes the hourly concentrations of NO2 for 4 different measurement stations:\n", + "\n", + "- FR04037 (PARIS 13eme): urban background site at Square de Choisy\n", + "- FR04012 (Paris, Place Victor Basch): urban traffic site at Rue d'Alesia\n", + "- BETR802: urban traffic site in Antwerp, Belgium\n", + "- BETN029: rural background site in Houtem, Belgium\n", + "\n", + "See http://www.eea.europa.eu/themes/air/interactive/no2" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Importing the data" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "We processed the individual data files in the previous notebook, and saved it to a csv file `airbase_data.csv`. Let's import the file here (if you didn't finish the previous notebook, a version of the dataset is also available in `../data/airbase_data.csv`):" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + ",FR04037,BETR801,FR04012,BETN029\r\n", + "1990-01-01 00:00:00,,,,16.0\r\n", + "1990-01-01 01:00:00,,,,18.0\r\n", + "1990-01-01 02:00:00,,,,21.0\r\n", + "1990-01-01 03:00:00,,,,26.0\r\n" + ] + } + ], + "source": [ + "!head -5 airbase_data.csv" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As you can see, the missing values are indicated by `-9999`. This can be recognized by `read_csv` by passing the `na_values` keyword:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "data = pd.read_csv('airbase_data.csv', index_col=0, parse_dates=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## Exploring the data - recap of some useful methods" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Some useful methods:\n", + "\n", + "`head` and `tail`" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false, + "slideshow": { + "slide_type": "-" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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\n", + " EXERCISE: select all data starting from 1999\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data = data['1999':]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + " EXERCISE: select all data in January for all different years\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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1999-01-01 02:00:0024.016.072.0114.0
1999-01-01 03:00:0026.018.072.091.0
...............
2012-01-31 20:00:0053.541.061.079.0
2012-01-31 21:00:0050.036.060.079.0
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\n", + " EXERCISE: select all data in January, February and March for all different years\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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1999-01-01 03:00:0026.018.072.091.01
..................
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2012-03-31 21:00:0036.08.017.056.03
2012-03-31 22:00:0034.08.018.059.03
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" + ], + "text/plain": [ + " BETR801 BETN029 FR04037 FR04012 months\n", + "1999-01-01 00:00:00 27.0 13.0 68.0 105.0 1\n", + "1999-01-01 01:00:00 33.0 15.0 70.0 116.0 1\n", + "1999-01-01 02:00:00 24.0 16.0 72.0 114.0 1\n", + "1999-01-01 03:00:00 26.0 18.0 72.0 91.0 1\n", + "... ... ... ... ... ...\n", + "2012-03-31 20:00:00 38.0 6.0 19.0 46.0 3\n", + "2012-03-31 21:00:00 36.0 8.0 17.0 56.0 3\n", + "2012-03-31 22:00:00 34.0 8.0 18.0 59.0 3\n", + "2012-03-31 23:00:00 38.0 8.0 24.0 54.0 3\n", + "\n", + "[30336 rows x 5 columns]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data['months'] = data.index.month\n", + "data[data['months'].isin([1, 2, 3])]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + " EXERCISE: select all 'daytime' data (between 8h and 20h) for all days\n", + "
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..................
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..................
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\n", + " NOTE: with older versions of pandas, data.resample('D').mean() was expressed as data.resample('D', how='mean').\n", + "
" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Similar to `groupby`, other methods can also be specified:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " BETR801 BETN029 FR04037 FR04012\n", + "1999-01-01 48.0 21.0 85.0 116.0\n", + "1999-01-02 43.0 19.0 65.0 112.0\n", + "1999-01-03 31.0 24.0 67.0 128.0\n", + "1999-01-04 56.0 8.0 65.0 112.0\n", + "1999-01-05 70.0 34.0 75.0 198.0" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.resample('D').max().head()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "skip" + } + }, + "source": [ + "The string to specify the new time frequency: http://pandas.pydata.org/pandas-docs/dev/timeseries.html#offset-aliases \n", + "These strings can also be combined with numbers, eg `'10D'`." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "Further exploring the data:" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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0d81mSmhurSMgo/F5d7IwA8ZCLjqXSM4hkXvbOqNITuRtax90ydq6lkAUJC3P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\nvUG9wU47EXKiPwjRzePQ3cM9O4d40klZ33Swa8gLIuR6A4V2+jU5jm1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KVpFR5jw4vDMO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\n/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Gdq86Jrwq7u+sB1w8C3jl7Dk89dxekraZTlRkKWLp6HaRgwTRPSG2+AsbQfue9+x34P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\nDg4ODo4UuKB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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data.resample('M').mean().plot() # 'A'" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# data['2012'].resample('D').mean().plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + " QUESTION: plot the monthly mean and median concentration of the 'FR04037' station for the years 2009-2012\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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hZGX3Gi+8uYDsDqFIClNFXe5GKOV945vzvtmcSrDO6ELB3hJOZMCUqzsMBcBv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\nu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dbSm+QBzJEsOIBVsFbdiV0JWu9IpngBt3ebGYFA6/MUNe6MfWnItzPiQJnAb3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\nNZdUrjxOE5J0deZ8TxZCzlC6X62EbpwvBse4+yb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b7QFmrYkkahlsFBYqWLs4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\n1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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data.loc['2009':, 'FR04037'].resample('M').agg(['mean', 'median']).plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + " QUESTION: plot the monthly mininum and maximum daily concentration of the 'BETR801' station\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "clear_cell": true, + "collapsed": true + }, + "outputs": [], + "source": [ + "daily = data['FR04037'].resample('D').mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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9tnPnTuzcubM9I2sSzdBgmIZlIduC7LZ23F28FJZl7eplnbAn4dWSVOAWnqy6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\nFsXFxd64TK/BcRwCAgIAANnZ2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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "daily.resample('M').agg(['min', 'max']).plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + " QUESTION: make a bar plot of the mean of the stations in year of 2012\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data['2012'].mean().plot(kind='bar')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "
\n", + " QUESTION: The evolution of the yearly averages with, and the overall mean of all stations (indicate the overall mean with a thicker black line)?\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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IkoaFdDnbqLtkeVQbOtM/l6IofP9FKvlZVUyeGU/i4LMfgGavzvUF19FhYN92\n08AQo1EhKt6fSy6P7bNXs6emoFVQkFuF0WB6WZimoJkSeWiYD+VldVYS7C+T8K+UtxtobzOVG43d\ne+mpNSoiY/2JTwoiLMrH5m8uZ8te3pTPJ4mJJXuKyalewmzaWjvwD3Rn4vQ4AkNst1y2JG8bOpt/\nroa6Fj573zRtbf6to3Dvo0nIVs7lBVeUV82mNenUVjfj5uHEhGmxRMb627iGPefUFLQK8rIqzXtU\nnwutgxoHBw0Ojhq0DprTvv7t5W7uTn1ijqo9vSmfLxITS/YYk6bGNnb+nEXa4TIABgwJZszkKJsM\ncpXkbUNn+8919EAxm9akExHjx8w5SX2i67endOcF19Lczo4NWeb9dgeN6MeoCZF9ItF0l6HDSGFe\nNXlZlThoNHQYjDg4anBwUJuS6lkkXa2D+oL8X7HHN+WeJjGxZM8xKc6vYfO6dKormnB2dWDclGji\nkrpeh+JsyPKovSBxcDAZR8vJy6wk81g5sQMCe7tKfYKiKGQcLWfb+kxamtrxC3Bj8sz4C2JnNo1W\nTUS0HxHRfnb9JiSE+O1Cwr2Z+4cRHNpdyJ5tuWxYfZxjh0qYOC0OX51br9ZN5pD8BiqViskz49E6\nqNn6YybNTW29XaVeV1fTzOqVh1j/3TE62gyMnRLFdTcPvyAStxBCaDRqho4J5/pbR9E/1o+Sglo+\n/2APOzdm2eSWWndJ8v6NvHxcGDUxkpbmdrb+mNHb1ek1BoOR/Tvz+ey93RTkVBMW5cv8W0cyZHR4\nrw2gEkKInuLh5czMOYOYOScJN3dH9u8s4NP3Usz7iJ9v0m1uRWlpCYsWXU9CQmKXW4KWl9SyZa8b\noVFLSBwUapMtQevr6/n73/+Gq6srTz31HGDakOS5556iqKgQo9HI3Xffz6BBg3srNACUFdex6Yc0\nKvWNuLg6MPmKeGISAy7I+7pCCHG6/rH+9IvwYe/2PA6mFLDmy8NExPhxyeUxeHqfv2VWJXl3ISIi\notP2n9B5S9Dqikb+9sgzvP3mu/zz5cfOeUvQa66ZwwsvPMvgwUPIyEg3H7t27fe4uLjw5pvvkZOT\nzbPPLuHddz/q+QBY0dbaQcrmHFL3mjZdSUgOYuyUaJxdLqxlRoUQ4tc4OGoYMzmKuKRAtqxNJy+z\nkqLcaoaPj2DwqLDzsqqh9G92k4+/G+MuGUVVdRmrV+0wbwmqUqnMW4ICXW4JOn78RMC0JejJYx99\n9HGLVvVNt7MCAAAgAElEQVT06Vdw771/BsDb24f6+rrz8etZyEnX8+l7KaTuLcLb14WrbxjClCsS\nJHELIS5avv5uzLphCJdemYDWUcOuTTl8vmwPRXnVPf7cfbrlvX1DFtnHy216zqgE09J3Z2J9Al3n\nLUELSlMJ6xfF4UPZODmcGnnY3S1BXVwsu1w0Gg0ajWnt75UrP2bq1BlnrLstNdS3svXHDNN64BoV\nI8ZHMGxshF0t4C+EED1FpVIRnxRE/xg/dm7K4ej+Yr795CBxA007JfbUDn59Onn3pvz8PPP2nyqV\nihEjRlndEvSWmxfzztKv0ZfV09bacWJOc/e3BO3KqlUrychI45//fPmcz3U2jEaFw3uL2Lkpm/Y2\nA8GhXkyaEYePf+9OjxBCiL7IydmBSdPjSBgUxOa16aQfKSM3s5IxkyNJHByCWm3bMUF9OnmPuzT6\nrFrJPcHaPW9rW4IGBHsxfGwCe458y65N2UyYFtetLUF/zf/+9zU7dmzluedeMrfCe1KlvoFvPz5A\nUX4Njk5aJs2MIzE5WAakCSHEGQSGeDLnpuEc2VdEypYcNq/N4PihUiZOj0MXZJsFWqCPJ+/edKZu\n89O3BJ32u5H8+912dm07Qv84v25tCXrqeRVOX/SuqKiQb775ktdff9fc1d5TFEXhyP5itq/PxGBQ\niEkMYPxl0bja6XaZQgjRG9RqFYNGhBKVoGP7hiwyj5az6qO9JA3rx7U3DLPJc0jy7oL1Ruapwl9u\nCfqnPz3Eq0tfYeehT5gzd9Zv3hLUaDRy//130tjYgF6v57777uDmm29l9+5d1NXV8dBD95u78F96\n6XWbJ/LWlnY2/pBGdloFzi5arrt+KL6B0kUuhBDd5ebuxNRZA0hMDmLzugxS9xbZLHnL2ubYbu3d\nbeszObS7kCGjwxg7pXe6+7ujrLiOH785Sn1tC8FhXlx+VSKR0bo+8/fpK2R51M4kHpYkJpYkJiaG\nDiP7d+Uz85pBNjlft5pvTU1NPPLII9TW1tLe3s7dd99NTEwMDz30EIqioNPpeP7553FwuLimEY2a\nGEluRgUHUwqITtD1+SVCFUXhQEoBKZtyMBoVho+PYMT4CFkhTQghbEyjVTNifH+bna9b79JfffUV\nUVFRLF++nKVLl/LMM8+wdOlSFixYwIoVKwgPD2fVqlU2q6S9cHDQMHlmPIoCP3+fhsFg7O0qdamp\nsY3Vn6ey8+dsnF0dmPX7wYyaECmJWwgh7EC33ql9fHyorjZNQq+trcXX15fdu3dz6aWXAjBlyhS2\nb99uu1rakX4RPgwYEkyVvpF92/N6uzpWFeZW8/kHeyjIriIsype5fxhBvwif3q6WEEKIs9St5H3F\nFVdQXFzMtGnTWLhwIQ8//DDNzc3mbnI/Pz/0er1NK2pPxk6Jxs3DiX078qksb+jt6pgZjUZSNufw\n3acHaWlqZ+yUKH43d1CPLSIghBCiZ3QreX/77beEhISwbt06PvroI5YsWdLp5704Bq5PcHTSMmlG\nHEajws/fp2E09n73eUNdC99+fJC92/Pw8HLmmgVDGTI6XOZuCyGEHerWgLV9+/YxYcIEAOLj49Hr\n9bi4uJgXHikrKyMgIOCM5/HxcUWr7flFR86GTme7yfMnz1eYXc2hvYVkHtEz/tIYm57/t0g/WsY3\nn+ynuamdxORgrpo3+KzWJLd1TC4EEpPOJB6WJCaWJCa2163kHRERwYEDB5g6dSpFRUW4ubkxatQo\n1qxZw6xZs1i7dq05uf+a6uqm7jy9zfXUVIbhl0SQcayMjWuOowvxwMfP1ebP8WsMHUZ2bszm0J5C\nNBoVE6fHMmBICPUNLdQ3tPzqY2V6hyWJSWcSD0sSE0sSk85sdSHTrW7z+fPnU1RUxMKFC3nooYd4\n8sknuffee/n6669ZsGABdXV1XHvttTapoD1zdnFgwrQ4DAaFjT+kndfbCbXVTXy1Yh+H9hTi7efK\nnJuGM3BoP+kmF0KIC0C3Wt6urq688sorFuXLli075wpdaKITdETF+5OdVsHhfUUMGh7a48+ZcbSM\nTWvSaW8zED8oiAlTY3Fw7Bu3J4QQQpw7WR71PJgwNZaivBp2bswmItoPT2/LrT9tob3dwNYfTYvg\nOzhquOzKBOKSgnrkuYQQQvQeWZHjPHB1d2L85TF0tBvZtCa9R7rPK/UNrPpoL8cPleIf6M51Nw+X\nxC2EEBcoaXmfJ3EDA8k8Wk5+dhXHD5WSOPjc9/gG07S8YwdL2PpTJoYOI4OG92PslGg0WrkuE0KI\nC5W8w58nKpWKSTPicHDUsH1DJo31red8ztaWDn769iib1qSj1aqZMXsgl0yNlcQthBAXOHmXP4/c\nPZ0ZOyWatlYDm9eeW/d5eUkdX3y4h8xjeoL6eTL3DyOIjNPZsLZCCCH6Kuk2P88GDAkm81g5uZmV\nZB4rJ3ZA4G96vKIoHNpdyM6N2RiNCsPGhjPikv5oNHIdJoQQFwt5xz/PVCoVk2fGo9Wq2fpjJs1N\nbWf92OamNn74IpXtG7JwctFy5fxkRk+KksQthBAXGXnX7wVePi6MmhhJS3M7W3/MPKvHFOfX8PkH\ne8jLqiK0vw/z/jCCsEjfHq6pEEKIvki6zXvJoBGhZB3Xk3msnJgBAUTG+ls9zmhU2Lc9jz3bcgEY\nPSmSoWNkQxEhhLiYScu7l6jVKiZfEY9ao2Lz2nRaW9otjmmsb+W7Tw+ye2subh5OXH3jUIaNjZDE\nLYQQFzlJ3r3I19+NEeP709TQxvYNWZ1+lpdVycpleyjOryEy1p+5fxhBcKhXL9VUCCFEXyLd5r1s\nyOgwso/rOX6olJjEAELCvdm1KYeDKQWoNSoumRpD0jDZUEQIIcQpkrx7mUajZvIV8az6aC+bfkjD\nxc2R8pJ6vHxcmHr1AHRBsg+uEEKIziR59wG6IA+Gjgln34586utaiRsYyIRpsTg6yZ9HCCGEJckO\nfcTw8RG0txkICPYgdmCgdJMLIYTokiTvPkKr1XDJ1NjeroYQQgg7IKPNhRBCCDsjyVsIIYSwM5K8\nhRBCCDsjyVsIIYSwM5K8hRBCCDsjyVsIIYSwM5K8hRBCCDsjyVsIIYSwM5K8hRBCCDvTrRXWvvji\nC7755htUKhWKonDkyBG+//57HnroIRRFQafT8fzzz+Pg4GDr+gohhBAXPZWiKMq5nGD37t2sWbOG\npqYmpkyZwrRp03j55ZcJDg7m+uuv/9XH6vX15/LUNqPTefSZuvQVEhNLEpPOJB6WJCaWJCad6XS2\n2SnynLvN33jjDe666y5SUlKYMmUKAFOmTGH79u3nXDkhhBBCWDqn5J2amkpwcDB+fn40Nzebu8n9\n/PzQ6/U2qaAQQgghOjun5P35558ze/Zsi/Jz7IkXQgghxK84py1BU1JSePzxxwFwc3Ojra0NR0dH\nysrKCAgIOOPjfXxc0Wo151IFm7HVfYgLicTEksSkM4mHJYmJJYmJ7XU7eZeXl+Pm5oZWazrF2LFj\nWbt2LVdddRVr165lwoQJZzxHdXVTd5/epmRAhSWJiSWJSWcSD0sSE0sSk856fcCaXq/Hz8/P/P29\n997LV199xYIFC6irq+Paa6+1SQWFEEII0dk5TxU7F33lakyuDC1JTCxJTDqTeFiSmFiSmHTW6y1v\nIYQQQvQOSd5CCCGEnZHkLYQQQtgZSd5CCCGEnZHkLYQQQtgZSd5CCCGEnZHkLYQQQtgZSd5CCCGE\nnZHkLYQQQtgZSd5CCCGEnZHkLYQQQtgZSd5CCCGEnZHkLYQQQtgZSd5CCCGEnZHkLYQQQtgZSd5C\nCCGEnZHkLYQQQtgZSd5CCCGEnZHkLYQQQtgZSd5CCCGEnZHkLYQQQtgZSd5CCCGEnZHkLYQQQtgZ\nSd5CCCGEnZHkLYQQQtgZSd5CCCGEndF294Hffvst77//Plqtlvvuu4/4+HgeeughFEVBp9Px/PPP\n4+DgYMu6CiGEEIJutrxramp44403+PTTT3n77bdZv349S5cuZeHChaxYsYLw8HBWrVpl67oKIYQQ\ngm4m7+3btzN+/HhcXFzw9/fnySefJCUlhSlTpgAwZcoUtm/fbtOKCiGEEMKkW93mRUVFNDc3c+ed\nd1JfX8/dd99NS0uLuZvcz88PvV5v04oKIYQQwqRbyVtRFHPXeVFREYsWLUJRlE4/Pxs+Pq5otZru\nVMHmdDqP3q5CnyMxsSQx6UziYUliYkliYnvdSt7+/v4MHToUtVpNWFgYbm5uaLVa2tracHR0pKys\njICAgDOep7q6qTtPb3M6nQd6fX1vV6NPkZhYkph0JvGwJDGxJDHpzFYXMt265z1+/Hh27dqFoihU\nV1fT1NTE2LFjWbNmDQBr165lwoQJNqmgEEIIITrrVss7MDCQ6dOnM2/ePFQqFY8//jhJSUk8/PDD\nrFy5kpCQEK699lpb11UIIYQQgEo52xvUPaCvdKVIt44liYkliUlnEg9LEhNLEpPOerXbXAghhBC9\nR5K3EEIIYWckeQshhBB2RpK3EEIIYWckeQshhBB2RpK3EEIIYWckeQshhBB2RpK3EEIIYWd6NXn3\n4vowQgghhN3q1eS9evV3zJkzi40bN0giF0IIIc5SrybvN954hS1bNjJv3jVcfvlEvvrqCzo6Onqz\nSkIIIUSf16vJe+/ePeavU1MP8sc/LmbMmGFkZmb0Yq2EEEKIvq3PDVjr6GgnPDyit6shhBBC9Fm9\nmrx/+GE9v/vdLFQqlbnsjjvuxtHRsRdrJYQQQvRtvZq8hw8fyQcfrGDbtj0sXHgzAQGBLFhwk9Vj\n//OfD7nzzls5fDj1PNdSCCGE6Fv61H7eLS0tODs7WxzX0dHB2LHDyMvLBeDSSy/nnnv+xPjxEzq1\n2rtL9pu1JDGxJDHpTOJhSWJiSWLS2QW5n7e1xA2wevW35sQNsGHDT8yefSUzZkyhoqLiPNVOCCGE\n6Bv6VPLuyurV31otb2trx8/P7zzXRgghhOhddpG833prGcuXf8rIkaM7ld9zz/026TYXQggh7Ild\nJG+1Ws2MGVewevWPfPfdOmbMuILw8P5cffVsq8e/9torPP74XykqKjzPNRW2YDAY+O67b7j66plE\nR4eyYME8Nm36WVbhE0KIE/rUgLXfoqGhAXd3d4vyxsZGhg0bQHV1NVqtljlz5nH33feTkJDY5blk\nQIWl3opJSsou7r77tk5jHE569tnnufXWO857nU6S/5POJB6WJCaWJCadXZAD1n4La4kb4OOPl1Nd\nXQ2YRql/9tnHTJw4mgUL5tHa2no+qyi6ISwszGqPiZOTE1dfPacXaiSEEH2P3Sbvrnz55RdWy9va\n2nBycjrPtRG/VXBwCNdee51F+XXXzUen01mUK4pCRkb6+aiaEEL0GRdc8v7qq9W8+OKrREVFdyq/\n994HeqlG4nRGo5GfflrLnDlXsWPHNqvH3HnnvTg5OXHDDQv58MOPufLKq7n99rusHrtx4wbGjx/B\nvHnXsGHDj3JfXAhxUbDbe95nYjAY+OGH1bz++ssYDEbWrdtodWT6c889TWCgH3Pm3ICnp1eP1cfe\n2Po+VUtLC1988RlvvfU66elpAMyYcQXLl39q9fjq6ip8fHzPeN7rr5/Nhg0/mb+Pj0/g9tvv4rrr\n5uPi4mKbyp8g9+46k3hYkphYkph0Zqt73t1K3ikpKdx///3ExsaiKArx8fHceuutPPTQQyiKgk6n\n4/nnn8fBweFXz3M+/qCKolBTU201EZSVlTFiRBKtra24uroxd+71LF58G4mJA3q8Xn2dLV9we/fu\nZuHC66mo0HcqV6lUbN++h+jo2G6dNy3tOBMmjLL6sxdffJWFC2/u1nm7Im9CnUk8LElMLElMOuv1\nAWujRo1i+fLl/Oc//+Gxxx5j6dKlLFy4kBUrVhAeHs6qVatsUsFzpVKpumzBvf/+2+ZBbE1NjXz0\n0ftMmjSGG2+cK92vNhQfn0BbW5tFuaIorFnzQ5ePUxSFlrau93dvbm6ymPsP4OPjw5w587pXWSGE\nsAPdTt6/TG4pKSlMmTIFgClTprB9+/Zzq1kPMxgMrFz5idWfBQf3k8VfukFRFIxGo0W5u7tHp1aw\nRqNh9uzrWLduI3fffV+nYytrW9iWWsK73x3l/97czl0vbeaJZSl8tTmb3NK6Tv93Q4YMY/XqH/nh\nh/Vcc81sNBoNADfddAuurq4W9Whra2P9+nVW6yiEEPZE290HZmVlcdddd1FbW8vdd99NS0uLuZvc\nz88PvV5/hjP0Lo1Gw88/b+PDD9/no4/ep7i42PyzxYtvs/qY+vo63N09JLH/Qnt7O19/vYq33nqD\n++57wOriObfe+kc++eQ/zJ9/I7fddgehoWEA1DW2cTy/mmN5po/y6mbzY9xdHIgJ9SK3pI6C8ga+\n256Lj4cTg2P8GRLjT2KEDw5aNcOHj+Sddz6ksLCA9957u8u/39dfr+Kee/5ITEwst99+F/Pm/d5q\nkhfCnpSXl+Pv749abdkW+/TT//Lhh+8RF5dAXFwCCQmmz6GhYVaPF/ajW/e8y8rK2LdvHzNnzqSg\noIBFixbR1NTErl27AMjPz+eRRx7hk0+st2xPWvrpPsICPQgN9CAswIMAX1c06vOfGNvb2/nmm294\n7bXXUKlUbNy40epxl112GbW1tdxzzz3Mn2/7AVH2pqamhnfeeYdXX32VoqIiwHQ7ZefOnVYvcFpb\nW2k3qjmcVcGhzAoOZejJKz11L8zVWUtSlD/Jsf4kx/gTEeSJWq2iqaWd/el6Uo6UsvtoKfVN7QC4\nOGkYGh/A6IFBDE8IxMu966mAiqIwfPhw9u/fby7z9fXlj3/8I/feey/BwcG2CosQPaqsrIxNmzax\nceNGNm7cyLFjxzh48CDJyckWx95333289tprFuWPP/44S5YsOR/VFT3EJqPN586dy+HDhzl48CCO\njo7s3r2bFStWsHTp0l993FV//hpOe5PXatQE+boS7Gf6CPF3I9jPjSBfFxy0mnOtZpdOH1DR1NRk\ntTX2y8FRvr6+3HjjTdx002LCwyN6rG695UyDTA4dOsCsWTNpamq0+Nl3361j9OgxALS2GcgoqjG1\nrHOrySur5+R/nKNWTWyoFwkRPiRG+BIR5I7mDK0Bg9FIZmEtBzIr2J9RYW6pq1QQ28+LIbE6hsT6\nE+Tb+W+4bdsWrr32d1bP+cEH/+V3v7vqV58XZODNL0k8LPV0TO6++3Y+/9xyhsYzz/yT226706J8\nzpyr2LJlk0X5W2+9z+zZcy3Kn3rqCTZv3kh8fALx8YnEx8cTH59IWFh4t1vq8n/Sma0GrHWr2/y7\n775Dr9ezePFi9Ho9lZWVzJ49mzVr1jBr1izWrl3LhAkTznieRws+oz0ijsrAKHLc+pHbqKa0solC\nfUOn41Qq0Hm5mJK6v5spsfuZErurc7d7/q3qqht12bJ3On1fVVXFa6+9zMqVn3DgwDHz/daLRWLi\nQLy9vS2St0qlYvW6nylpC+B4XjVZxXUYjKZsrVGriO13Mln7EBXihYP2t70haNRq4sN9iA/3Yd6U\nGEqrmjiQYUrkGYW1pBfWsvLnTIL9XBkS48+QWH+iQ7zQ6QKYPXsu3377FR0dpwbBRUT0Z8aMK849\nIELYSHl5OQZDB8HBIRY/66qhsG3bVqvJ+/jxY1aPj4+3vlz0gQP7OHhwPwcP7u9U/vbby6wuniR6\nT7cy36WXXsqDDz7I+vXr6ejoYMmSJSQkJPDII4+wcuVKQkJCuPbaa894HgcfX8g4TFDGYYKAyf0j\ncR2UjDF6AHoXX4qrWiipbKSkopHiyiYOZlVyMKuy0zm83B1PJHJXgk/77O3uaNN707W1NahUKouB\nejfeuOiCTtwGgwGDwYCjo2OncgcHB2677U6WLHkMAEdHZwaOmoEuYQaFDkEUbstFpYKIQA8STyTr\n2FBvnBxtFyuVSnXib+7GzDER1DW2cTCrggMZFRzJreKHXfn8sCsfdxcHBsf4cdsDz/Hoo0+wYsUy\nli9fRk1NDbfffqfVv19tbQ1ffLGS+fNv6HIpXtE35Ofn0dDQQFBQED4+vnY3JqWsrIwdO7aybdtW\ntm/fQkZGOrfffidPP/1Pi2PHj5/Aiy92Ller1TQ3N1k9908/bSYt7Tjp6cdJSzN9ZGVlEB0dY/X4\ntLTjVsvj4hKslt9441xKS0uJj08gISGRuLgE4uMTCA+PuKDfF/uCXl+kpa2slMZDB2k8dJCm9DQw\nGADQeHnhNigZt+QhuA0YgNrZhfqmNkoqmyiubKSkosmU2CubqKxrsTi3i5P2VPf7iTf4YH9XdF4u\nqH9xX/1su3Vyc3P48MP3+fjj5dTU1KDRaNi374jVK+SdO7fj4+NLfLz1f/q+zsVFxauvvsnbb/+b\nO+64y7whiFFRKNY3ciyvmv3HC3jrmVvolziZiOTpOLp40k/nRmK4KVnHhXvj5vzrc/17Slu7wVTH\njAoOZlZQ22iaqqbVqBnQ34eEUFeyDq7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DS8Fx4EtKoHWVQ+typUJd6yoHX1ICToERj4FA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\nozPQhfc65NkBKwRXqpu91l4NJ+hwF0LIxEAD1pD/gAqJSalu8CZPK5q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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data.resample('A').mean().plot()\n", + "data.mean(axis=1).resample('A').mean().plot(color='k', linestyle='--', linewidth=4)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "## Combination with groupby" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "`resample` can actually be seen as a specific kind of `groupby`. E.g. taking annual means with `data.resample('A', 'mean')` is equivalent to `data.groupby(data.index.year).mean()` (only the result of `resample` still has a DatetimeIndex).\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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uIYQYo6TmPULyplmoONrAqcomjh+qY8qM1KBsV1EUjh08y/Z3K3C7PEyfM4FF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\nHsi5H6PHC4PNpv0/E5kMsvE4lFgU2VgM2VgMSiy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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data.groupby(data.index.year).mean().plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "But, `groupby` is more flexible and can also do resamples that do not result in a new continuous time series, e.g. by grouping by the hour of the day to get the diurnal cycle." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + " QUESTION: how does the *typical monthly profile* look like for the different stations?\n", + "
" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1\\. add a column to the dataframe that indicates the month (integer value of 1 to 12):" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [], + "source": [ + "data['month'] = data.index.month" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "2\\. Now, we can calculate the mean of each month over the different years:" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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12 rows × 4 columns

\n", + "
" + ], + "text/plain": [ + " BETR801 BETN029 FR04037 FR04012\n", + "month \n", + "1 51.955189 19.832429 47.634409 82.472813\n", + "2 53.721187 20.238004 50.564499 83.973207\n", + "3 53.737157 19.741470 47.862715 96.272138\n", + "4 49.445248 17.865095 40.943117 95.962862\n", + "... ... ... ... ...\n", + "9 47.193898 14.292315 39.706019 93.000316\n", + "10 48.649218 17.007418 44.010934 86.297836\n", + "11 50.186465 17.900151 45.564683 87.173878\n", + "12 50.194588 20.200031 45.262243 81.817977\n", + "\n", + "[12 rows x 4 columns]" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.groupby('month').mean()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "3\\. plot the typical monthly profile of the different stations:" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "clear_cell": true, + "collapsed": false, + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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wIIsWLaKqqoqQkBBmzJjBli1bWLZsGVu3bu1O5BfT1NTZl5cfUHLdoPckht6T\nGPbN7IXpxCaEsmNrEU6Hi+tXjicoWCux7COph94bsLm+Ozs7+fnPf05DQwMul4sf//jHpKWl8cgj\nj2C320lKSuKJJ55Ao7n42XIgvOFSMb0nMfSexNA77a1WDEF6tEEycMwbUg+9F3CLcgTCGy4V03sS\nQ+9JDL0nMfSexNB7fUnUcngphBBC+DFJ1EIIIYQfk0QthBBC+DFJ1EIIIYQfk0QthBBC+DFJ1EII\nIYQfk0QthBBC+DFJ1EIIIYQfk0QthBBC+DFJ1EIIIYQfk0QthBBC+DFJ1EIIIYQfk0QthBBC+DFJ\n1EIIIYQfk0QthBBC+DFJ1EIIIYQfk0QthBBC+DFJ1EIIIYQfk0QthBBC+DFJ1EIIIYQfk0QthBBC\n+DFJ1EIIIYQfk0QthBBC+DFJ1EIIIYQfk0QthBBC+DFtXzZ688032bRpEyqVCkVRyM/P54MPPuCh\nhx5CURRMJhNPPfUUOp2uv8srhBBCDCsqRVEUb3aQl5fHli1b6OzsZP78+SxevJh169aRmJjI6tWr\nL7qt2dzmzUsPCJMpLCDK6c8kht6TGHpPYug9iaH3TKawK97G66bv5557jvvuu4+9e/cyf/58AObP\nn8/OnTu93bUQQggx7HmVqI8cOUJiYiIxMTFYLJbupu6YmBjMZnO/FFAIIYQYzrxK1G+88QYrV648\n734vW9OFEEII0aVPg8nO2Lt3L48++igAISEh2O129Ho9tbW1xMXFXXL7qKhgtFqNN0UYEH3pUxA9\nSQy9JzH0nsTQexLDgdfnRF1XV0dISAharWcXubm5bN26laVLl7J161bmzJlzyX00NXX29eUHjAye\n8J7E0HsSQ+9JDL0nMfTegA4mM5vNxMTEdP/9wx/+kLfffpu7776b1tZWVqxY0dddCyGEEKKL15dn\neSMQjszkCNJ7EkPvSQy9JzH0nsTQe4NyeZYQQgghfEcStRBCCOHHJFELIYQQfkwStRBCCOHHJFEL\nIYQQfkwStRBCCOHHJFELIYQQfkwStRBCCOHHJFELIYQQfkwStRBCCOHHJFELIYQQfkwStRBCCOHH\nJFELIYQQfkwStRBCCOHHJFELIYQQfkwStRBCCOHHJFELIYQQfkwStRBCCOHHJFELIYQQfkwStRBC\nCOHHtINdACGEb9TUnGbt2tXk5IwBwOGw84Mf/Iiqqkr++tf/Jjl5ZPdz4+MTuOOOu1m37j8ByM8/\nytix41CpzRi2AAAgAElEQVSr1dx++10UFh7no4+2EBcXh9vtxm63c/fd93DttfOor6/niSd+hcNh\nx+1286Mf/StZWTmUlBTz9NNPoFKpSU/P5MEHHwGgtraGX/ziYaZOvYr77ntg4AMjRICRRC3EEJaS\nksKzz/4ZgEOHDvC3v/0vixZdz3XXLe41Sf7Xf/0FgFtvXc7TTz9LUJABgMLC49x22x2sXHkrAK2t\nrfzTP93JrFmzef31V5g7dz7Llq3g6NHD/OUvz/P008/y7LNP8+MfP0x2dg6PP/5v7Nmzi5kzc3ny\nyV8zbdoM3G7XAEVBiMAmTd9CDGGKcvZ2Q0MDcXFxl7tlj22/KTw8nJiYWBoa6omMjKSlpQXwJPDI\nyEicTienT1eTnZ0DwNVXz2Hfvr0A/O53vyclJbUP/40Qw5OcUQvhYxu2lZBXUOfVPjQaFS7X2cw5\nPSeO2xZkXHK7kycr+NGPvo/NZqO+3swf/vAnjh07etEkfDlOniynqakJkymO2267k3/+52+zZct7\ndHZ28vzzL9Dc3ExYWHj386OiomloqAfAaDR69+JCDDOSqIUYws5t+j55spx///efcuutd/Dppx9R\nWHgcRVFQqVQsWLCIm29eddF9bdjwGp9//int7e04HHYee+y3aLVaXnzxf1m4cBFr1vwTu3Z9yZ/+\ntI6f/OQR4OzRgOLtkYEQw5gkaiF87LYFGZd19nsxJlMYZnObV/sYNSoVvT4IjUZzwT7qs1Tn3XOm\nj7qhoZ4HHriP9HTP/3TkyCG+9737AJg2bSZPP/0fPZrDAczmOmJjY70qvxDDVZ/7qDdv3szy5ctZ\ntWoV27dvp6amhjVr1nD33Xfzk5/8BIfD0Z/lFEL0wbknsq2tLTQ2NuB0Oi+j6fvCT4iJiWXJkhtZ\nv94z8Cw5eRT5+UcBOHYsn+TkkWi1WlJS0jhy5BAAO3Z8xsyZsy9YNiHEhfXpjLq5uZnnnnuOd955\nh46ODp599lm2bNnCmjVrWLx4MevWrWPjxo2sXr26v8srhLgCp055+qgVRcHhcPCTnzxMW1sr27Z9\nTGHhcYDu5u8//OFPaLVnvhLOP6M+1+2338U999zBjTcuY82ae3jyyV+zbdvHqFQqfvzj/w+AH/3o\nX/nP//wdiqIwdux4rrpqOvX1Zh5//N9oamrEYrFQWHicBx/8qQwuE+IiVEofOo8++OAD9u3bx6OP\nPtp938KFC9myZQs6nY6DBw+yfv16nn322Yvux9umvIHQH02Ow53E0HsSQ+9JDL0nMfSeyRR2xdv0\n6Yy6qqoKi8XCD37wA9ra2rj//vuxWq3odDoAYmJiMJvNfdm1EEIIIc7Rp0StKEp383dVVRVr167t\nMarzck/So6KC0Wo1fSnCgOrLEZDoSWLoPYmh9ySG3pMYDrw+JerY2FimTJmCWq1m5MiRhISEoNVq\nsdvt6PV6amtrL2tihaamzr68/ICSph7vSQy9JzH0nsTQexJD7/XlQKdPo76vvvpq9uzZg6IoNDU1\n0dnZSW5uLlu2bAFg69atzJkzpy+7FkIIIcQ5+nRGHR8fz/XXX89tt92GSqXi0UcfZfz48Tz88MNs\n2LCBpKQkVqxY0d9lFUIIIYadPo367i+B0IQiTT3ekxh6T2LoPYmh9ySG3huwUd9CCP/X38tc7tr1\nJX/960vd2/zwh/+P//qvv+B0Ovnd7x6npuY0Go2Gn//8lyQmJlFSUsy6dU+hVqsJCwvnl7/8DUFB\nQfzv//6FPXt2odVq+f73/4WJEycPbGCECDCSqIUYwvpzmUuHw8mnn37MwoWLAFCpPJOifPzxFsLC\nwnj00V+Tl7ebP//5v3j88Sf44x//kx/+8F/JyRnD888/w4cfvsu4cRPYt28v//M/f6OtrY2HH/4x\n//3f/zsQoRAiYMkyl0IMYf25zOXatffyyit/w+XquY7011/nce218wHPXN9HjhwG4Kmn/th9Nh8Z\nGUVLSwunTp0iO9tzX1hYGKGhodTU1FzpvyXEsCJn1EL42Fsl73Gg7ohX+9CoVbjcZzPnlLgJrMy4\n6ZLb9ecyl9HR0cyZM4933nmTVatu776/sbGByMgowHOWrVKpcDqdBAcHA2CxWNiy5X1+85v/wO1W\neOml9dhsNjo62ikuLqKpqYGEhIQrL5AQw4QkaiGGsP5c5hJg9eq7+f737+WGG5Ze8Dnnjk+1WCz8\n9KcPcuedaxk1KhWAZctW8OMf/4CkpGQyM7NkCUwhLkEStRA+tjLjpss6+70Yf1jmEsBoNHLzzat4\n7bW/d98XG2uisbGe9PQMnE4nAFqtFpfLxc9+9iDXX38DS5Z8q/v5K1feysqVtwLw/e/fS2Jiklf/\nlxBDnfRRCzGE+WKZy6VLb+bLL7fT2NgIwPTpM9m27VMAvvpqB1OmXAXAyy//jalTp3HjjWfPvpub\nm3noIc8BQllZKYqiEBUVfeX/mBDDiJxRCzGE9dcyl2dGeIPnbHnt2nv55S9/DsDChYvJy9vDffd9\nF71ezy9+8RgAb7/9JomJSeTl7UGlUjF16jTuuee7ZGRk8Z3vrEGj0fDII//m8xgIEehkwpNLkAv8\nvScx9J7E0HsSQ+9JDL03YHN9CyGEEGJgSKIWQggh/JgkaiGEEMKPSaIWQggh/JgkaiGEEMKPSaIW\nQggh/JhcR30BTpebhlYrnS6FpsaOntM/KL3evOBUiL3drZyz5YUukFN6vE7vLxps0JIYE9L7DsSw\ndu4yl2eulc7IyOStt95g4sTJKIqCy+UiNtbEz372KEajkby8PfzP/zyPVqth5szZ3HPPd7v3Z7PZ\nWLv2du6557vccMNN1NXV8utfP4qiKMTExPDv//5rtFot//d/f2XPnl0AzJ59DWvX3stLL63vvp7a\n7XbT2NjAq69uHKzQCBFQhnWidisKTa02apo6qW3spKaxk9pGC7WNndS3WHEHyBzEyaYQcsclMHNs\nPNHhhsEujvAj5871fcZHH23pcd/69f/Dhg2v8u1vf4dnnnmaP/7xOWJiYvmXf/ke8+dfR0pKKgB/\n+9sLhIdHdG/3wgt/5pZbbmfu3AX85S/P8d57m5g1azYnTpTx5z+vx+12c+edt/Ctby1j7dp7Wbv2\nXgA+/PA9mpubff/PCzFEDItE3dZpp7bR4knETWcScie1TRYcTvd5zw8L1jF6RDjxkUYiwg1YrA6g\n51xNqnP/6v3mN+73/KHqfQrlHvdfyb5rGjo5XNrAG5+X8ubnpWSPiiR3fALTsuMwBg2Lt1d4aezY\n8Xz66UdUV1cRERFBbKwJgFmzrmbfvr2kpKRSUVHOyZPlzJ59Tfd2Bw7s5+GHfwHA1Vdfyz/+8TI3\n37yKX/3qCQBaW1vRaNSEhIR2b+NyuXjnnY3d614LIS5tyHyT2+yuHkm4ptFCbdeZcofVed7zg3Qa\nEmOCSYgOJj6q63d0MPHRRkIMuu7nBcJMPO0WB/sK6tiVX0PByWYKTjbz8kdFTMmMZda4BManRaPV\nyHCEwWJ+4x+07cvzah8VGjUu19mDyrBp0zHduvqS2/XeKHRut4vC9u3byMrK6VquMrL7saioKKqr\nqwB47rk/8q//+ggffPBu9+NWq6V7ytGoqCgaGuq7H3vmmafZtu0j7r//JxgMZ1t5tm//jJkzc9Hr\n9ZcsuxDCI6AStdPlpr7FevaM+ExzdZOFpjbbec/XqFWYIo1kJkcSH20kPjqYhChPQo4M1feYvziQ\nhRp1zJsygnlTRmButrA7v4ad+bXsPV7H3uN1hBp1zBwTz6zx8YxODB8y/7e4tDPrUZ/po542bQbt\n7e3d95WXn2Dx4htYteo2jh07+o2tPQl9y5b3GT9+IgkJiZf9ug888CDf+c7/41/+5XtMnDipe9v3\n3tvUfRYuhLg8fpeoFUWhqc3mScJNlnP6jjsxN/febxwdHsSYlKjus+KErqQcG2FAox5eZ5KmSCNL\nr07jptmplNe0setoDXuO1/Lp/ko+3V9JfJSR3HEJzBoXT1xU8GAXd1gw3br6ss5+L7qPPrbs9NZH\nvWHDa933Pf/8M8TGxqFWq4mNNdHQ0ND9PLPZTGysiV27vqK6uoqvvvoCs7kOvV6PyRRHcHAwdrsd\nvV6P2VxHbKwJs7mOhoYGcnLGEBoayoQJkzh+PJ+EhESsViv19XUkJCR4FQshhptBTdSlVS3n9Btb\nuvqNO7E7zu83DjXqGJ0UTny0sUdztSnKSJBOMwil928qlYq0xHDSEsO5bUEGx8qb2JVfw4EiM+98\neYJ3vjxB+ohwZo9LYPqYeEKNukvvVAScSzV9f/vb3+E731nDddctJiEhkc7ODmpqaoiNjWXnzi/4\n5S9/2712NHgGniUmJjFt2gymTZvB559vY/HiJXz++TZmzsylqamRp59+gr/85W8oikJh4XGWL18J\nQElJEaNGpfr2HxZiCBrURP3bv3/d42+9Tt3dNH3umXF8VLAkEi9oNWompscwMT0Gi83J/iIzu/Nr\nOFbRRGlVK69+UsyE0THMHp/ApIwYdFo58Bkqeu/lOHtnSEgod931bf70pz/y6KO/5sEHf8pjj/0c\nlQquu+56kpNHXnDf9977PX7zm1+yefNbxMcncMMNN6HRaJg7dwHf/75nhPfs2deQkZEJQENDvaw9\nLUQfDOoyl396fT/xUWeSsn/2GwfCYLK+amqzsedYLbvzazhZ1w6AMUjLtGwTs8cnkDkyEnU/vB9D\nOYYDRWLoPYmh9ySG3uvLMpeyHvUlDJeKWWluZ1d+Dbvza7sH5kWHBzFrbAK54xMYEdv3SVWGSwx9\nSWLoPYmh9ySG3huwRL13714eeOABMjMzURSF7Oxsvvvd7/LQQw+hKAomk4mnnnoKne7izdWB8IYP\nt4rpVhQKTzazK7+GrwvrsNhcAIyKD+2eVCUyNOiK9jncYugLEkPvSQy9JzH03oAm6ldeeYVnnnmm\n+76f/exnzJ8/n8WLF7Nu3ToSExNZvfriI1399Q1XFAVHXS3W8hOYRo/EEhGHehhe92l3uDhU2sCu\nozUcKWvA5VZQqWBsajS54+KZmmXCoL/0MAf5cHtPYug9iaH3JIbe60ui7vNgsm/m97179/KrX/0K\ngPnz57N+/fpLJmp/oSgK9tOnsRQVYCkqpLOwEFeLZ4rDGgCNBkNKCsb0TAwZGRjTM9GeMzHEUKXX\naZieE8f0nDjaOu3kFdSx62gN+ScayT/RiF5XyNQsE7njEhibGjXsLoUTQvgPRVHosDqxO1y9PHaB\nbbjgA5dz10Xvv9CLDmiiLi0t5b777qOlpYX7778fq9Xa3dQdExOD2Wzu6659TnG7sVdX0VlUiKWw\nAEtREa621u7HNeHhhE6bgXF0OlpLK41HjmGtqMBaVgYfbwVAGxuLMT0DY3oGhoxMgkYko9IM3dHS\nYcF6FkxNZsHUZGqbOtmdX8uuo54+7d35tYSH6Jk5Jp7c8fGkxIf53aBAIUTgs9ld1LdYMLdYqW+2\nUN9ixdxswdxspb7FgtV+fpL2N+8+vfyKt+lT03dtbS379+/nhhtu4NSpU6xdu5bOzk727NkDwMmT\nJ3nkkUd47bXXLrofp9OFdgAuBVJcLjoqKmg9eoyWo/m0HjuOs+1s840+JprwceOIGD+W8HHjMI5I\nOi/RuGw22otLaCsopLWggLaCQpxt7d2Pqw0GwrIyCcvJJnxMDmFZWWhDh/aqVoqiUHiyic+/rmTH\ngSraOu0AjIwPZd7Ukcydmkx8tEyqIoS4PE6XG3OThdrGju7ZJ2sbzs5E2dx+/gyUAEF6TfdlvSEX\nuJT3QqcOV3JSccG1Gi6w996e/6Pbp1z263Xvpz9Gfd96660cPXqUQ4cOodfrycvL4+WXX+7Rh90b\nX/V1KC4XtpMVZ8+YS4pxd3Z2P66NiSE4KwdjdjbGrBx0JtMF36wL9ckoioKjtgZLSQmW0mKspSXY\nq6vPPkGlQp+YhDEjA0N6BsaMTHRx8UP2TNPpcnO0rNEzqUpxPc6ueamzkiNYuTCLzITQIfu/D4S+\n9A0O1jKXbW1tPPbYLwgODubXv34S8CzG8eSTv6aqqhK328399z/AhAmT+jVGlyL9q97zNoZuRaGl\n3U59i4X6Zivmrt/1LRbMzRYa22y9thhr1Cpiwg3ERhqIjTBi6vodG2nAFGEkLFgXMN8vA9b0/e67\n72I2m7n33nsxm800NDSwcuVKtmzZwrJly9i6dStz5szpy677RHE6sVaUd/UvF2AtKcZttXY/rjOZ\nCJ1yFcasbIKzs9F1rQ7kDZVKhT4hEX1CIhHXeP5XV3s7lrJSrKUlWEpLsJaVYq+uomXHdgA0oWFd\nfdye5G1ITRsyg9S0GjWTM2OZnBlLp9XJ14WeRUIKTzbz5It55IyK5M7rskiOC730zkS/GehlLm++\neRW///3vmDRpMsXFRd3P3br1A4xGI88//wInTpTxu989zl//+qJv/3kxKDqsDszNPRPx2YRs7T6I\n/6bIUD3pIyIwRfRMwqZII1FhQajVgZGIfaFPiXrBggU8+OCDfPrppzidTh5//HFycnJ45JFH2LBh\nA0lJSaxYsaK/y9rN7XBgKz9BZ6Fn8JeltATFdrZJRBefQNiMbIxZXWfM0QMzG5ImNJTQiZMIneg5\nU1BcLmyVpzxJu+vMu+PgAToOHujaQINhVEr3GbcxIwNtZNSAlNWXgg1a5kxKYs6kJGoaO3n7yxPk\nHavlsf/LY/6UESyfkyYzzfmR/l7m8qc/fZSCgmM9EvX119/IokVLAIiMjKLtnDEhIrDYHC7qv9FH\nfOZvc4sVi+381QoBQgxaRphCPIk40tj9OzbCQGyEQWZEvIg+JeqQkBD+/Oc/n3f/+vXrvS5Qb9wO\nO9bSUs8Zc1Eh1tISFIej+3F9UhLGrByCszzJ2V9GZKs0GgwpqRhSUmHBdQA4GhuxlpVgKSnBWlqC\n9WQF1hNlNH/yEeBplj87ujyDoOSRAT1ILSE6mEe/M4tPd5fz2qfFfLq/kj3Ha1lx7WjmTkoaFkfJ\nO7eVUlZQ59U+1Bo17nPOREbnxDF7QfoltxuMZS6NRuN5r6jRaNB01eMNG17tTtrC/1jtThpaPGe/\nDa3WHrcb22w097JSIYBeqyY20khmcgSmrjPic5upgw1+twZUwPDLyLltNiylJZ7LpQoLsZ4oQ3Ge\nPUrTJ4/0JOXsrsQcFj6Ipb0yuuhodNEzCJs2AwC33Y61/MTZ5vKSEtr27qZt724AVEFBGNJGY+y6\nLMwwOh1NSOANUpuYHsPY1Cg+2VfJ5q9O8PethWw/UMWdi7LIGukfB1ZD0WAtc3khGzduoLi4kP/4\nj3Ve70tcOUVR6LQ5qW8+Pwl7blvosPZ+RqxRqzBFGRmTEnVeH3FspJHwAOonDjR+kajdVguWkmI6\nCwuxFBViLT8Brq5h9ioVQSNHYczuOmPOzEITOnT6OdV6PcFZ2QRnZQNnJ1uxlHgGqFlKSrAUHMdS\ncLx7G31Skqe5PD2T4GzPYLhAoNWoWTJzFLnj4nlzeylfHanhyVf2M2NMHLfNzyA63DDYRfSJ2QvS\nL+vs92ICZZnLi3nvvXfYtetLnnzyD91n16J/KYpCa6eDhq7kW99i8dxusVLflYwvdAmTTqsmJtxA\nWmI4MREGYsINxHQ1S8eEG4gMDSI+PlwG5A2CQU3U5jdep7OwANvJCnB3Neup1RhSUj39y9nZGDOy\n0AQPn0t8VCoV+vgE9PEJRFzdNUitowPridLu5nJLWSn26mpav9gBKhUR184l9uZVaMKufDThYIgI\nDeI73xrLvCkjePXjIvYer+NgST3fyk1lyYyR0lfVjwZ6mcuzr6v0mBSpqqqSTZve4k9/+mt3c7m4\ncm63QnO7rcdZsCche243tlqxO3sfrGXQa7qTbmyE0ZOMu/82BNTI6eFmUD8xTVs/9AyoShtNcHaO\nJzlnZKA2nN/HNZxpQkIIGT+RkPETga5BalWVWEuKaf5sGy3bP6ctby8xy1YQOW8+qgD5IkxPiuAX\na6fx1ZHTbPy8lLd3lPHFoWpWL8xkSmasfGn0g4Fe5tLtdvPAAz+go6Mds9nMj370fe6557vk5e2h\ntbWVhx56oLsZ/g9/+JMk7W9wutw0ttnOngW3WHo0UTe12XC5e7+iNtSoIzE2hNiuM+GYCEOP28FB\nWvlMBahBXT2r4ss8zyVKQVe2yMNA8vdrLxWnk+bPt9Gw6W3cFgv6pCRMq+8iZOy4wS5at8uJYafV\nybs7T/DJvkpcboVxqVHccV0WSV6s2jWU+Hs9DAT+HMODJfW8+Xkppxs6LjjdZUSo/gJJ2EhMeNBl\nzbvvLX+OYaCQZS59IFAqprOtlYa336Lli+2gKIRMnoLp9jvQm+IGu2hXFMPTDR289kkxR080olGr\nWDA1meXXpBJsGN6XcwVKPfRn/hjDpjYbr31SxL5CMxq1ivQREd1N0ecm5OjwIL/oEvLHGAYaSdQ+\nEGgV03qyAvNrr2ApLkKl1RK1eAnRN96E2jB4A7WuNIaKonCopIF/fFpMXbOFsGAdq+amc83ERNTD\ntOku0OqhP/KnGLrdCp8frGLj9lIsNhcZyRF8+/psRpj8e6CsP8UwUEmi9oFArJiKotCetxfzm6/j\nbGxEExmJadVthM3KHZQ+qr7G0OF081HeSd7bWYHN4SIlIYy7rssiIzni0hsPMYFYD/2Nv8TwVF07\nL24poKy6leAgLbfOT2fOpKSAOAj1lxgGMknUPhDIFdNts9G45QOatnyA4nBgSM8g7o67MKSmDWg5\nvI1hU5uNNz8vYVd+LQC54+K5ZV4GUWH+O7ahvwVyPfQXgx1Dm8PF5i9PsHXvKdyKwsyx8axekEFE\naODU48GO4VAgidoHhkLFdNSbMb/xOu1f7wOVivCrryF2xS1oIwbmzLS/Ylhc2cyrHxdTUdtGkE7D\n0qtTWTRtJDrt0F8HeyjUw8E2mDE8UtbA37cWUt9iJTbCwJrrs5kwOmZQyuINf62HbqsFh7keR70Z\nxeFApdOCRotapwONBpVWh0p75re29x/1wHyPSKL2AX+tmH3RWXCcutdewV5VidpgIHrpcqIWLvL5\n5Vz9GUO3W+HLI6d58/NS2i0O4qKMrF6YyaT0mCF96clQqoeDZTBi2NJu47VPi9l7vA61SsX1M0ey\n7Oo0gnSDPzCsLwarHipOJ46mRhxmM456Mw6zGWe9GbvZjLO+Hld7P5RJre4lgZ+b4Lt+a7SodNrz\nfqPRotZqodcDgbPbp9+06IqLJon6EobaF6TictGyYzv172zE3dGBLj4B0+13dC8k4gu+iGGn1cE7\nX55g29dVuBWFCaNjWL0wg8SYoXk511Crh4NhIGPoVhR2HKrmzc9K6bQ5GZ0UzreX5DAywFeP81UM\nFUXB1drqScJdidhzux6HuQ5nY2Ovs/eotFq0MTHoYk3dP2pDEIrDieJyojjP/DhQnK5v/HZe/Mfl\nPLsfhxO69uetqzdtvOJtJFFfwlD9gnS1t9Ow+W2aP/8M3G5CJkzEdPud6BMS+v21fBnDKnM7r35S\nzPGKJjRqFYumjWTp1akYg4bWRBpDtR4OpIGKYZW5nRe3FlJS2YIxSMMtc9OZO3nEkFiAxpsYuq3W\nHsm3x+96M4rd3ut2mshITxI2nU3GntuxaCOjBqzJGjwHFLiuMOF/40Ah89blV/y6kqgvYah/Qdqq\nKql77RXPXOIaDVELFxF907J+nbbV1zFUFIX9RfW8vq2Y+hYr4SF6bp2XTu74hIAYSXs5hno9HAi+\njqHd4eLdneVs2XMSl1thWk4cdyzMHFKDHi8WQ8XlwtnY+I0z4rO3XW29b6c2Gs9LwDpTnCcRx8Si\n1ut9+S8NOOmj9oHh8AWpKArtB/Zj3vAazvp6NGHhxK66hfDZ1/TL0epAxdDucLF170ne31WB3ekm\nLTGcuxZlMTopcFZXu5DhUA99zZcxzC9v5O9bCqlrthATHsRdi7OZnBHrk9caTJF6N6cLTvToKz6T\nkJ2NjWfXbDiXRuNJvrFdSTg2Dp2p63dsLOqQkCE9vuSbJFH7wHD6gnQ77DRt3ULjB++h2O0EpaYR\nd8ddGNMzvNrvQMewsdXKhs9K2Hvcswb0NRMSWTV3dEBdBvNNw6ke+oovYtjaYef1bcXsyq9FpYLF\n00ey/Jq0AZnOc6A4mppo27ub1l07sVee6vU5mojIs2fD5zZTm0wD3jzt7yRR+8Bw/IJ0NDZSv3ED\nbXs8a2KHzcoldtVt6KKi+rS/wYph4ckmXv2kmFN17Rj0GpZdncZ105LRagLvS2M41sP+1p8xVBSF\nLw+fZsNnJXRYnaQmhPHtJTmkJATGCnaX4rZaaPv6a9p276Kz4JhnIJdGQ+Skiahi4tCe218cO/Sa\np31JErUPDOcvSEtxMXWvvYztZAWqoCCib7yJqMXXo9Zd2YdyMGPoditsP1TNW9tL6bA6SYgO5o7r\nMgPuGtbhXA/7S3/F8HRDBy9uKaToVDNBeg0rrx3NwqnJAT9YTHG56DyWT+uunbQf3N89uMuQnkH4\nrNmETZ9BQlqi1EMvSaL2geH+Bam43bR+9QX1b72Jq60NncmE6bbVhEyeetn9Sv4Qw3aLg3e+KOOz\nA1UoCkzOiOX2hRnERwXGWuf+EMNA520MHU4X7++q4IPdFThdClMyY7lrURbR4YM3j763FEXBVlFB\n6+6vaNuzB1dbKwC6uHjCc2cTNjMXfdzZhX2kHnpPErUPSMX0cHV20vjuJpq2fQIuF8FjxmFafSdB\nI0Zcclt/iuGpunZe+6SIgpPNaDUqFk8fxU2zU/y+T9GfYhiovInh8YomXtpaSG1jJ1FhQdy1KIup\nWaZ+LuHAcTTU07p7F227d2E/XQ2AOjSUsOkzCc+djSFtdK8H4lIPvSeJ2gekYvZkP11N3euv0Xn0\nCKjVRM5bQMzyFWhCLjzRiL/FUFEUvi408/q2YhpabYSH6JmRE8fkzFiyRkb6ZR+2v8UwEPUlhu0W\nB7F6dC0AACAASURBVK9vK+arIzWogIVXJbPi2tEBeZ2+q7OD9n37aN29E0tRIeCZMCRk8hTCZ80m\nZPyES85SKPXQe5KofUAq5vkURaHj8CHMr7+Go64WdWgosTevJOLaeb2O7vTXGNocLj7cXcHH+yqx\n2DwzDhmDNEwYHcPkjFgmpMcQ4ifrYPtrDAPJlcRQURR2Hq3h9W0ltFscjIoP5dtLckhLDKxL/RSn\nk46jR2jd9RUdhw52z6xlzMomPHc2oVdNQxN8+bP5ST30niRqH5CKeWFuh4PmTz6m4b3NKDYrQSNH\nYrrjboKzsns8z99j6HS5KTrVzMHieg6W1FPfYgVArVKRNTKCyZkmJmfGEhdpHLQy+nsMA8HlxrC2\nsZOXthZyvKIJvU7NijmjuW5aMpoAucRIURSsZaW07t5JW95e3O3tAOgTk7r7nXUxfRtMKfXQe5Ko\nfUAq5qU5W5qp3/gmrTu/BCB02gxMt96GLsYz4UMgxVBRFKrMHRwoqedQST1l1a3dj42IDWFyZiyT\nMmIZnRQ+oLOeBVIM/dWlYuh0uflwdwXv7qzA6XIzMT2GuxdnERsxeAdoV8JeW0vbnl207t6Fo86z\nJKwmPJywGbMIz51N0KgUrycWkXroPUnUPiAV8/JZysow/+NlrGVlqHQ6opbcSPSSG4lPjg3YGDa3\n2zhc2sDB4nryyxtxOD0zL4UH65iYEcuUjFjGpkYTpPftakhSD713sRgWnWrmxS0FnG7oJCJUz13X\nZXFVtsnvZ8xytbfTlreH1t27sJaWAKDS6wmdchXhubkEjxmHStN/dVPqofcGPFHbbDZuuukm7r//\nfmbNmsVDDz2EoiiYTCaeeuopdLqL9+8FwhsuFfPKKG43bbt3Yd64AVdLC9roGDK+9x3cGWMHu2he\nszlcHCtv5GCx52y7tdMBgE6rZmxKVPfZdqQPZkCTeui93mLYYXXwxmcl7Dh0GhUwb+oIVl2bTrDB\nfweLuR12Og4donX3TjqOHAaXC1QqgseMJXzWbEKnTkVt8E0rgNRD7w14ol63bh07d+7krrvuYs+e\nPcyfP5/Fixezbt06EhMTWb169UW3D4Q3XCpm37itFhree5fmTz5CcToJvWoacXeuQRsRMdhF6xdu\nReFEdSsHSzz92lXmju7H0hLDmZwRw+RME8mm/pnHWOqh986NoaIo7Dleyz8+Kaa100GyKYRvL8kh\nfYR/1k/F7cZSUkzbmX5niwWAoJEjCZs1m/CZs9BG9m3mwCsh9dB7A5qoy8rKWLduHdnZ2YwYMYLn\nnnuODz/8EJ1Ox8GDB1m/fj3PPvvsRfcRCG+4VEzv2GtO0/DKi7QdL0AdEkLc6rsIm5Xr902KV6qu\n2cKhrsFohSebcXd9rGLCDUzOjGVyZiz/f3t3Ht5Wded//K3VWm3JtixbtmMnXkNCSUoICZAmgRI6\nTEthKNN0CinLM+2E5Sl0Sktpn05LWyhpp2mmFCgQKEtbttD86JRpCpSmpAGSAKEhkNixE8dLvMWS\nbcmytd3fH1dRopDVsi3J/r6ex48t6er6+PhKH51zzz2nLoVLv+Q4TN2hOuz2DvHknxvYubcPo17L\nZy+YzsXnlGfkZXmhAx0MvLGZgbfeIHLwIAB6pxP7uQvJXbCQnLLyCS2PHIepG01Qj7p/59577+W7\n3/0uv//97wEIBoOJru6CggJ6enpGu2sxiRiLSzjz7h/Q+Ox6el94ns61DzG45U2KrvkShvzsmsbz\nRIocZi4+p5yLzyknMBxmR7N6XntHcx+vvt3Gq2+3ZeylX1NFJBrjj2/s48W/7yMciTF7ej5XX1KX\n1tH8xxIZGEgsgjHSsg8ATY6J3PMuIHfheZjr6mWRiylmVEG9fv165s6dS+lxZqU61Ua602lBrx/f\nQThjYTSfgESy2uX/wrSlF7Dnlw/Q/94/2P9f36Hy2hW4l31y0r3puIDK8nw+s7iGSDTGzuaDbNnZ\nyZs7O9nyYTdbPuxGq9Uwe0YB55xRzLmziikpPPm1rHIcjk4sprC9oYfv/3orLZ2DOGw5/Pvls1k0\npzRjenYURaHvzbfoevkVvO++py4XqdXiPPvjuJYsJv/cc9DlZMbqb3IcTrxRdX3fdttttLW1odVq\n6erqSrSk//jHP2I0Gtm6dStPPfUUa9asOeF+sqELRbp6Unf0ucGBTX+j59mniQWDmOvqcX/p+qT5\nhCcrRVFo7w0krtc+8tIvT6GVOdVqF/mMktyPLPAgx+Hp6w+E2PSPDv72Xgc9PvXa+MVzPHxuSVVG\n9WYosRg9z/4O3ysvA5BTOV1dBGP+uehzM2uCFTkOU5eWy7Puu+8+ysrKeOedd5g3bx6XXXYZP/zh\nD6mvr+dzn/vcCZ+bDf9wOTBTd6w6jPi8dD31BIHt76IxGim8/Eocn7x40rWuT6TfP8J7p3jplxyH\npyamKHzY4mXju+2829hLNKZg1GuZP9PNlRfVkmfKrB48JRKh87FHGHzrTYyeUkq+cuMpzZ+fLnIc\npi6tQX3BBRfwjW98g1AohMfj4Z577kF3kuv3suEfLgdm6o5Xh4qiMLj1LXp++xui/kFMM6pwX3s9\nOZ7MfaMaLyPhKB/u87J9Tw/b9xxkIKAuMWjQa5lZ4eQTHy+npsSG3SLr/h7LQCDEph0H+Nv2Drp9\n6ojoMpeVxXNKWTirGItJn3Gv5djICB0P3MfQ+zswVVVTesut6Gy2dBfrhDKtDrORTHgyDuTATN1J\nZ4QaHKDnd79lcMubaPR68j99GfmfuvSkCwRMVjFFYe+BgUQX+aFLv7QaDXXTHMyrL+LjtS7yrFM7\ntGOKwq4WLxu3d/BOQ0+i9XzOzCKWzCllhic36Rx0Jr2Wo34/7f/zM4abm7Ge+TFK/uMmtBlyDvpE\nMqkOs5UE9TiQAzN1p1qH/u3v0vXk40T7feSUl+O+9gZMFZXjX8AM1+0L0tA+wMa3W2mKn9fWALXl\nh0Pbac/8N/mxMhAI8fcdB9j4XgfdXrX1XOqysmROKQtnubEc5/xzpryWw30HaV/934QOdGBfsJDi\na2/Img+lmVKH2UyCehzIgZm606nD6FCAnmefYWDT39RRr5f8EwWXfRatYWq3Hg/VYd/AMNt297Bt\ndzd72voBNbSry/KYV1fE2XUu8nNN6S3sOFAOtZ7f6+Dt3Wrr2aDXMr++iMVzSqkqzT3pCO5MeC2H\nDnTQtvqnRPr6cFx8Ca6rPp9V4zIyoQ6znQT1OJADM3WjqcPABzvpeuIxIr29GIqLKf7SDZhrasap\nhJnvWHXoHRzhnYYetu3qpqHVx6EXcpUnl7PriphX56Iww64RPl0DQyE27+hk4/Z2uuKtZ0+hlcVz\nPJw3u/i0Rm+n+7UcbG6m/X9+Rszvp/DKq3B+6tKMuTzsVKW7DicDCepxIAdm6kZbh7HhYXpfeB7f\na68C4LjwkxRecSVa0+RrMZ7Myeqw3z/CO429bNvVza79Xg69qiuL7cyrV1vabqdlgkqbGkVR2L3f\nx1+3t/NOQw+RqIJep+Wc+iKWzPVQXZo3qoBL52s5sPN9Ou7/BUoohHvFteQtWpyWcqRK3g9TJ0E9\nDuTATF2qdRhsbKTz8bWEOzvRFxbiXnEd1jNmjWEJM9/p1OHAUIjt8dD+sMVLNKa+xKcV2Ti7Xm1p\nlxScfIKViTY4FOLvOzrZ+F4HXX1DAJQUWNRzz7OLsZlTu/Y5Xa/lgS1v0rn2YTQaDSVfWYlt7tkT\nXoaxIu+HqZOgHgdyYKZuLOowFg7R94cX6fvTSxCLkXvBJ3D96+fRWTIvcMbDaOvQHwyrob27m517\n+xKhXeqyMi/ePV7qSt8lQYqi0NDq46/bO3h7d/cRrWcXi+eUUlM2utbzsaTjtez9yyv0/O43aE0m\nPDd/FUtd/YT+/rEm74epk6AeB3Jgpm4s63C4ZR9dv17LSGsrOocD99VfwjZn7pjsO5ONRR0ODYfZ\nvqeXbbt6eH9vH5GoOsFKSYFFDe36ojFb7etk/MGwOnJ7ewedR7SeF5/l4bwzS1JuPR/LRL6WFUXh\n4Ivr6fvD/0OXm0vprf+JaVrFhPzu8STvh6mToB4HcmCmbqzrUIlE6PvTS/T974sokQj2+QtwfeHf\n0Nsza7rFsTTWdRgcifBeUy9v7+rhH80HE7OiuZ1m5tUXMa+uiGlu25iG9qHW88btHWw7ovU8r97F\n4rM81JY7xvVDwkS9lpVYjO7fPEn/xtcwuIoo/drXMbomxxS58n6YOgnqcSAHZurGqw5HOtrp+vVa\nhpub0dnsuP7ti9jPOTfrRtKeivE8DodDEXY097FtVzfvNfUSCquhXZhnSoT29BL7qOvVHwyzOX7d\n84GDauu5ON/C4jkezh+n1vOxTMRrORYO0/nIr/C/vY2c8mmU3vo19HmOcf2dE0neD1MnQT0O5MBM\n3XjWoRKL4Xvlz/SufwElFMI6Zy7uq1egdzjH5fely0QdhyPhKO839/H27m627+llOBQFoCA3J37J\nVxEzSnPRniS0FUWhsa2fjdvb2bqrh0g0hl6n4ey6IpbMGf/W87GMdx3GhoO03/c/BHd9iLm2Ds/N\nX0VnyY6R9qdK3g9TJ0E9DuTATN1E1GGoq4uuJx4juHsXWrMZ1+e/QO75iyZN6zodx2E4EmXnXi9b\nd6mhHRyJAOCwGRPXadeUOZJW+vIHw7zxvjpyu6NXnfrUna+eez7/zOK0zlU+nnUYGRigfc3PGGnZ\nh3Xuxyn58n9Mykl65P0wdRLU40AOzNRN5LnB/tc30vvcM8SGh7GcMQv3imsxFLrG/XePt3Qfh+FI\njA9b+ti2q4d3G3sIDKuhnWs1cnati7ppDt7bc5Btu7sJR2LotBrOrlNHbtdPm/jW87GMVx2Ge3po\n+/lPCXd1kbvoE7iv/hKakyxIlK3SfRxOBhLU40AOzNRNdB2G+w7S/eTjBHb8A01ODoX/8jkcSy/K\nqqkaj5ZJx2EkGmPXfi/bdvXwTkMP/mA48ViR05w495ybYSt9jUcdjrS10rb6v4n2+8i/9NMUXHFl\nRnwoGS+ZdBxmKwnqcSAHZurSUYeKojD45ma6n/4tsUAAc00t7i9dh7G4ZELLMVYy9TiMxmI07Pex\nu9VHXbmDugrnSc9fp8uYj5xvbKD9Fz8nNjSE6/NfwHnxJWO270yVqcdhNpGgHgdyYKYunXUY6e+n\n+7dP4n97Gxq9noLPXoFz2aeyrmtSjsPUjWUd+re/y4Ff3Y8Si1F83Q3kLjhvTPab6eQ4TN1ogjp7\n+wKFOAX6vDw8K2+mZOXNaC0Wetc9x/67f8BIa2u6iyayVP/fN9Fx/y9Ao6H05q9OmZAW6SNBLaYE\n+9nzqLzrbnIXns9Iyz5afvg9ete/QCwcPulzhTikb8P/0fXYI2hNZsr+8xtYz/xYuoskpgAJajFl\n6Gw2im/4d0q/+jX0eXn0/e+L7P/B9wg2N6W7aCLDKYpCz3PP0PvcM+idTsq/eSfmqup0F0tMEfp0\nF0CIiWY982NUfP9H9K57jv6//oXWu3+AweXCVF2DuboGc3UtxpKSrB4lLsaOEo3S9fhjDGzehKG4\nmLLbbsdQUJDuYokpRIJaTEk6sxn31SuwnzMf74b/I7hnD4NvbGbwjc0AaC0WzFXVanjX1GKqnI7W\nmFmXG4nxFwuFOPCr+wm8t52cyumUffVr6OynPxhIiFRIUIspzVJXj6WuHiUWI9R5gOCeRoYbGwnu\naSSw4x8EdvxD3VCnw1RRgbm6NtHy1udO3kVABESHAnT8Yg3BxgYsZ8zCc+MtaE2mdBdLTEES1EIA\nGq2WHE8pOZ5S+MQSACL9PoJ7Ggnu2cPwnkaGW1oYbm6GP/8JAEORO95VXoOpukbtLs/Qa4jF6Yn4\nfLSt/imh9jbs58zHff2/ozVMzOIhQhxNglqI49DnObCffQ72s88BIDYywvDe5sPh3dTIwOZNDGze\nBIDWZsNcVZ0I75zKykk53/NkF+rqpG31T4n09pK39CKKvvBFGa8g0kqCWohTpM3JwVI/E0v9TECd\nWzzU0a4Gd2MjwaZGAu9tJ/DedgA0ej05FZVqcNfUYq6qlvObGW64ZR/tP/8Z0cEBCj57Bfmfvkx6\nSUTaSVALMUoarZacsnJyyspxLLkQgIjPezi49zQyvLeZ4aY9eDf8HwCG4uLEyHJzdQ0Gt1uCIEMM\n7fqQjvvWEBsZoeiLK3AsvTDdRRICGGVQDw8Pc8cdd3Dw4EFCoRArV66kvr6e22+/HUVRcLlcrFq1\nCoOc0xFTjN7hxD5vPvZ58wGIDQ8f0V3eyHDTHgY2vc7AptcB0NntmKqq1RZ3dQ050yrkXGgaDL69\njc6HH0RRFEq+sjLx/xMiE4xqru+XXnqJAwcOcMMNN9DR0cF1113Hxz/+cZYsWcIll1zC6tWrKSkp\nYfny5SfcTzbMGStz26ZO6vAwJRZjpK2V4fh57uCeBiJ9fYnHNXo9pukzDl/TXVWNzmaTOhwDx6tD\n38a/0v3U42iMOXhuugXrGbPSULrsIMdh6kYz1/eoWtSXXnpp4ueOjg5KSkrYunUrd911FwBLly7l\n0UcfPWlQCzHVaLRaTNMqME2rwHHhJwF1Wc5D3eXD8ZZ3sLEBb/w5Ro+H/jNnoSmfjrmmTibbGCOK\notD3xz9wcP0L6Gx2Sm/9GqbK6ekulhAfkdI56uXLl9Pd3c0DDzzA9ddfn+jqLigooKenZ0wKKMRk\nZ8gvwDC/gNz5CwCIBoMMNzepXeV7Ggk2N9G14eXE9vqCArWrvLYOS20dBnexnOc+TUosRs8zv8P3\n6svoCwoou+12jMXF6S6WEMeUUlA//fTT7Nq1i69//esc2YOexpUzhch6OrMZ66zZWGfNBtQpLM2D\nvRzY8i5DjQ0EGxsYfPMNBt98Q93enou5tjYR3jll5XI50QkokQidjz7C4JY3MXpKKb3t6xicznQX\nS4jjGlVQ79y5k4KCAoqLi6mvrycWi2G1WgmFQhiNRrq6uigqKjrpfpxOC3p95q8LPJpzCiKZ1GGK\nih3Ya9RFIJRYjGBbG/07P2Tggw8Y2PkB/re34X97GwA6i4XcmXXknnEGubPOwFZdJQPU4vLtBnb9\n+OcMvrsde30dM7/zLQxyydxpkdfyxBtVUG/dupWOjg7uvPNOent7GRoaYtGiRfzpT3/isssuY8OG\nDSxatOik+/F6h0bz6yeUDJ5IndRh6j5Sh2Yn+nnnkT/vPJyKQqS3l6GG3QQbGwg27sb79rt4334X\nAI3BgGlGVaLFbZ5RNSWnwnTkwD/+6y6Gm5uxfuws3F+5Ed8wMCzH5qmS13LqRvNBZ1SjvkdGRrjz\nzjvp7OxkZGSEW265hVmzZvGNb3yDUCiEx+PhnnvuQac7cWs5G/7hcmCmTuowdadbh5F+nxra8fAe\naWuDQy91rRZTReXh4K6uQWezjVPJ00uJxYj09xPp7aH3N08QbGsjd+H5uL90HRq9TCNxuuS1nLoJ\nC+qxkg3/cDkwUyd1mLpU6zAaCBBsaiTYoIb3cMs+iEYTjxtLyxLnuS21degdmX/ONhYKEfF6iXj7\niPi88Z+9h3/2eYn4fIc/oADOZZ+i8HP/KufwR0ley6mbsMuzhBDZRWe1YvvYHGwfmwPE5y1vbiLY\n2MBQw26Gm5sItbfR/9pfADC4ig63uGtqMRQVTdjIckVRiAUCibANe/uSAzj+FRsKHH8nOh16pxNT\nVTV6hxOD00nR3DNRamdPyN8gxFiSoBZiCtLm5GCZeQaWmWdQgDoSerhln9riblS7y49ccESX58By\nxMhyo6d0VK1SJRpVu6J98Zaw13fEz4dbwko4fPyym83oHU70FZXonc7DXw4n+vx89A4nOpvtI+Ur\nlNagyFIS1EIINHq9uvJXVTX806XqgiPtberlYA27CTbsZnDrFga3bgFAa7FirqlJtLhN0yrUEP5I\nF7QaxuF493S0vz+pKzq5EBp0djvGEk8icBMB7FRbxXqnE63JPIE1I0T6SVALIT5Co9WSUz6NnPJp\nOC/8JIqiEO7uSgxOCzY0JK0Uhk6XdM77I/vT69E5HJira9A7HOidRwTxoa88hwzwEuIY5FUhhDgp\njUaD0V2M0V1M3qLFAIT7+hIjy0f2t6hd0s589E5HPITzEyGss9ll9jQhRkmCWggxKob8fAznLiD3\n3AXpLooQk5pcoyCEEEJkMAlqIYQQIoNJUAshhBAZTIJaCCGEyGAS1EIIIUQGk6AWQgghMpgEtRBC\nCJHBJKiFEEKIDCZBLYQQQmQwCWohhBAig0lQCyGEEBlMgloIIYTIYBLUQgghRAaToBZCCCEymAS1\nEEIIkcEkqIUQQogMJkEthBBCZDAJaiGEECKDSVALIYQQGUw/2ieuWrWKd955h2g0ype//GXOPPNM\nbr/9dhRFweVysWrVKgwGw1iWVQghhJhyRhXUb731Fk1NTTz99NP4fD6uuOIKFixYwNVXX80ll1zC\n6tWrWbduHcuXLx/r8gohhBBTyqi6vufPn8+aNWsAyM3NZWhoiK1bt3LhhRcCsHTpUjZv3jx2pRRC\nCCGmqFG1qDUaDSaTCYDnn3+eJUuWsGnTpkRXd0FBAT09PWNXSkBRFCKxCOFYhHAsTDgWJhQNE4lF\nCMVvh6PhpMePvB2KhQlHI0QO/RyLxB8/4jlHbR+JRTBo9Ri0BnJ0Rgw6IzlaI0adAaPOiPEYt43x\nbY9/2xi/bcCgNaDRaMa0noQQQmQGRVHwjfTT5u9g/2A7bYMdfOeim097P6M+Rw3wyiuvsG7dOtau\nXcuyZcuSCncqnvzg2aSgDMWDMxG+RwRpJBZB4dT2e7r0Gh16rQGDTo9Ra8BqsOLU6tFr9aBTGBoZ\nJhQNMzgySG8sRCQWGZPfq0GDQWdIDvN48Cd/MDj8YSDniG2MOiNWvQW31UWeMVdCXwgh0iSmxOgN\n9tE62E6bv4PWwXZaB9vxhwMp73vUQf3666/z0EMPsXbtWmw2G1arlVAohNFopKuri6KiopPu483O\nbR+573Dr1IDJmEOuzha/T/0y6IwYtfojwsughl38eQZd8mPG4zyWeI7WgFZ7emcAYrEYI9EQI5GR\n+PcQw5ERQtEQw5EQI9ERRiLhpMdHIiMMR0OEIiGGoyOMRELx7dWfR6IhBsN+RiIjhEfxQcCsN+HJ\ndVNqL8aT66YstwRPrptiqwu9LqXPY2PC5bKnuwhZT+owdVKHqZM6hGgsSvtAJ3u9rez17mevr419\n3laCkeGk7YqsBZzhrmGGcxqVjnKmO8tH9ftG9Q7u9/v5yU9+wq9//WvsdvWftnDhQjZs2MBnPvMZ\nNmzYwKJFi066n+8vvCPRtWzQGdBrdOPXKozFv8LqtxEURggBoRM+zeWy09MzeJxHtWgxYcaEWb0J\nxjEoqhIjFA0xEg0TjqkhHoqGCEXDhBK3w4Ti4d411ENXoJsWbxtNfS3JJdRocZkLcFuKcFtcFFuL\ncFuKKLa6MOvNqRf2FJy4DsWpkDpMndRh6qZiHYaiYToCB2gdVFvJbYMdtAcOJPWsatDgtriYXTCT\nMruHafZSymweLAZL0r4ifmAUb7ujCuqXXnoJn8/HrbfeiqIoaDQa7r33Xr797W/zzDPP4PF4uOKK\nK066n0Jz/mh+/aSn1Wgx6U2Y9KbTel5MiXEw6KVzqCsR3p1D3XQGuuka+uiYgTyjPR7aani7rS6K\nLUU4cvKkG10IMeUEI8O0DXbQ6lcDuXWwnc6hbmJKLLGNXqOjxFZMua2UcruHMnsppbYScnRj0Eo7\nDo1yqieUx0E2fDKbDJ8gFUXBHw7EA1sN765AD11D3Rwc9n5k+xydEbfFhduidp0fCnOXuUA9b3+a\nJkMdppvUYeqkDlM3mepwMORPtJD3+9tpG2ynJ3gwaRujzkiZzUO53UO5rZQyeykl1qJRvQ8eMppT\nB+k/eSnGnUajwW60YTfaqHHOSHosFA3RNdSrBvihIA900xHoYv9ge9K2Wo2WQlM+bmsRxUd1pVsM\nE9ONLoQQp0NRFLwjvsNd1/52Wgc78I30J21n1Vuoc1ZTbi+l3Oah3F6Ky1KIVpP+CTwlqKc4o86o\nflq0e5Lujykx+oa9dAYOt8DV793s6P2AHXyQtH2u0a62wuMhXhzvSnfmOCbyzxFCTGExJUbPUC+t\n/o5E13Wrv51AeChpuzxjLrMLZsbf+0ops5WSb3Jk7Ck/CWpxTFqNlkJzAYXmAmYzM+mxwZA/+Rx4\nPMj3+PbS6GtO2taoMzLDWU65pZwqRyUz8iqxHjXAQgghjhaNRQlEhgiEh/CHAvGfAwTC8fuO+Fn9\nCjAUCSadTwYoNBdQ66xOtJLL7aXYjbY0/VWjI0EtTtuhbvRqx/Sk+0PREN1J3eg9HAh0sftgM7t6\nm3h5v7pdsdVNVV6l+uWopMCUn7GfZIUQqVEUhVAsnBSygXAAf3joqPuSA3g4OnzynaOOuLYaLFgN\nFooshRSaCxLd12V2z4Rd3TKeJKjFmDHqjJTZ1RfHkWwOA1ubd9Ls20dT/z72DuynM9DF3zveAtRu\n86q8SmY41PAus3nQaXXp+BOEECcQU2IMhYfiIXtk0Krf/ZEhAqH4fZHD25zq3BB6rR6r3kKB2YlV\nb0kEsNVgxRb/fvg+CzaDFZPelBHnkceTBLUYd2aDiZn5tczMrwXikwX4D9DUrwZ3s28v7/bs4N2e\nHQAYtQYq8yoSre7KvGmYT/NSNSFEahRF4eCwl+b+feztb6Gpfx8HAl0f6Vo+HpPOhNVgocRanBSs\n1qMC98j7jDKt8jFJUIsJp9PqmJZbxrTcMpaWX5B4Q2jy7aU5Ht4N3j00ePcAatdWqa0kcY67Kq8S\np0kGqQkxliKxCK2DHezt30dTfwt7+/fRHzp8KZZBq2eGcxpmrTkRtDa9NanVe/i7OaVLmEQyqUmR\ndhqNhkJzPoXmfM4tORuAQHgo8Sm+ybePlsFW2vwdbGxTV2Vz5jioclRSlTedKkclJVb3pO/+A+AH\nggAADhhJREFUEmIs+UMB9g600OTbR3N/C/sHW5O6qHONdua4zqQqr4LpeZWU2z2UuJ2T5jrqbCJB\nLTKS1WBhduFMZheqI87DsQitg+3xVncLTf172da1nW1d2wF1rvPpuRWJVndlbjnGcZwpSIhsElNi\ndA/1qKea+lto7t9H91Bv4nENGjy2YqryKpmeV8GMvEoKTE7phs4QEtQiKxi0embkVTAjrwJQz58d\neuNRz3Pv44O+3XzQtxtQLy8rt5fGR5ZPpyqvMusuyRBitELREPsGWhOhvLe/haFIMPG4SZfDzPza\neChXUJkr40AymQS1yEoajQa3tQi3tYjzPPMBGAgNqq3teKt7/2AbLQOt/KX1dQCKzIXqOe54q9tt\ncUmLQUwK3mFfIpSb+1to83ckDfoqNOUzq2AmVQ61tSynirKLBLWYNNRzarOZ45oNqK2KloHWRKt7\nb38Lb3ZuSyyvajNYmR4fXV7rrKLcXipvXiLjRWNR2gMHaPYdDmbviC/xuE6jo8Jexoy8SmbkVTA9\nr4K8nNw0llikSoJaTFpGnZEaZxU1zipAPU93INAVHzyjhveO3g/Y0atOh2rWm6h2zKDWWUWds1pa\nHSIjDIWD7B1oibeYW9g3sJ9Q9PDyvDaDlY8VzkqEcoW9DIPOkMYSi7EmQS2mDK1GS6mthFJbCZ8o\nWwioXYZNvr00+JrY7W1KCm6bwUqNYwa1zmpqnVXSVS7GnaIo9AR7E6Hc3L+PzkA3CocXOSyxuuOh\nXElVXgUuc6Ecl5OcBLWY0pwmB/OK5zKveC4AfcNeGrxNNHib2O3dkzQRS57RTk28tV3rrJKpT0VK\nFEWhb9hL26EFJPwd7O1vwR8OJLYxag3UOGaoAykdlUzPnYZF5sqfciSohThCvsnJgpJ5LCiZF2/d\nHKQxHtoNvqakS8LyTU5qHVXUOtUvmYRFHE8kFqEz0J0I5Ta/+hWMJM9n7cxxcHbRWYnzy6W2EplO\nV0hQC3E8Go2GIkshRZZCzi89F0VR6BzqZrd3D43xVveRg9OKzIWJ0K51VsvlYFPUUDhIu7+DNv+B\nRCgfCHQRVaKJbTSox9YZ+XWU2TyU2j2U2Upk0Jc4JglqIU6RRqOhxOqmxOpmSdn5xJQY7f7O+HSn\nTezxNbOp4y02xRcbKbG6E+e3axwzZHnPSUZRFLwjvsMt5Pj3g8PepO0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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data.groupby('month').mean().plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + " QUESTION: plot the weekly 95% percentiles of the concentration in 'BETR801' and 'BETN029' for 2011\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "df2011 = data['2011'].dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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oiIIqDjKLWle2KIiCS/QiC+Yg/jKGSmTTpLdi0Ojxz4OQ9TN9zyIjc23Xawvu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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df2011 = data['2011'].dropna()\n", + "df2011.groupby(df2011.index.week)[['BETN029', 'BETR801']].quantile(0.95).plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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h3ny9e7XIejePWq5GNBmT9CKMIOqVXAtJsjEo030rUte9RzITKUP+Efzw0KNI\nVHm2WhgTM7TO+9k62xokRDhYLnUWhXh3GzsBAGNFRN+nM+LdZ+rBsqb0PHN2Dbwc4qkE3FFP3qib\nZ21W6jzFpnDIeQRNKlPetLVZY0aCTSCUFHexwl+UiIm8S4W/+udd0crhhOcktAqNUBIRi0ahBgcO\nCTZR9hkIot7hpzuseT7XfOQtdd17LJje5tVr7MYxzyB+MvAzpNiUpK+RD36bWLt+YfEGKHW+KMRb\nMGsRWfdmORZn/CNo0dpgVBkEMxKp6t6OCL+QxF7wvvyWsQHXMZz0DiGUDOPclvULzobzWIuse3ui\nuQ1apKJZIotUd9QDR8SFfvPyopfN8ONiEap7Ew1Arj3e2ehVlXFZGwtNQClT4N7Nf4GV5uXY7ziE\nnx3/VdWyXhOhKahkygV/9+VNvdAqNDicx8GyEVgc4p2JvMWK91TYgUgyiuVNfQCAHmMnZIwMZ3zS\niLeYejdPk9qIbmMnTnmHsGdyL4AZL/Nc8BG0WPH2xnwwqYwV3bxmlchl7USJ9W5gRrxjVPcmGoB8\n7mo8xgpYpKbYFCZCU2jXt0KjUOMvN96DHmMndk+8g6dP/q7igpliU5gKTaNNb18wyEmXI1fBHfVg\nMjy9wDM0BotCvFu0NqjkKtFp89O+MwAgpMtVchW6DO0YDYxJUrspNOM9l3W2NUhyKbw9+R70Ch1W\nmpfnvT/fcS5mQUnaoMW3oPexlBiUeqhkSrjLTJufKLHeDWTt9KZxMaIByOeuxlMJf/PpiBNJNomO\nTMZTq9Dgr879BFp1duwafRU7h1+S7LUWwhlxIcml0L7ANA4Ppc4XiXjLGBm6DO2YDE8jnipc7xzK\nRNjLTDPuXX2mXiS5lCRLTvgZ71zuanNZZ0unzjlw2NC8tmCEzKfN+S7yfAQTaYOWSu+4ZRgGVq21\nrMib4zgc95yEQalfsJZVCDW5rBENhDvqgUqmhH7OquRseN+GkITiPRacAIBZPSkGlR6f2fQJWDUW\n/Ob0Trx69k3JXm8uE3Oc1RZibeY79bDzaMXOUe8sCvEG0v+QWI4VGhnyMeQbhlquQodh5sqNj8Kl\nMGuZDjugYORCB3Yh+kw90CvSH8BN9txd5jwzFqmFhTLfNjGpsWksCCcjiCQjJT3eEXHBG/NhpWVF\n3pp/LsjfnGgk3FEPLBpL3s1/Br7mLWHDGi/enYbZka9FY8ZnNn0CRpUBT574Nd6Z3CfZa2YjRrxN\nKiN6jd0MieeVAAAgAElEQVQ45TtT8vfRYmfxiLfI9aDhRBiT4Wn0mXpmCQQfhZfbcc4vJGnWNYuu\nMcsYGS5sPw92bTNWW1YWvL9JZYSMkYlaTiLs8RYxJlYu/Ky3q0SnNd5pbnUJ9W6A/M2JxiGajCKc\njOQdEwMqkzYfz4h3h7593s/suhb833M/AY1CjUeP/hyHnEcke12e7G1i+VhnWw2WY3HUPSj5GRYD\ni0e8DeJsUvmO8mVzFl40a60wKPVld5z740FEU1HR9W6eW1d+CF+6+HNQyZUF7yuXydGkMolqWOMF\nviqRd5kLSk4U6Wc+F0G8qWGNWOKIqXcDgFKmgEaullS8x4KTaFKZhKh+Ll3GDnxq48chZ+T48eHH\nBLGVionQFNRyVcELl3XNjV33XjTi3aFvg4yRFew45yPrZXN2VTMMgz5TD9xRD3wxf8nnmM50NxYr\n3sVi0Zjhi/sLzlbydXFzBWe8eaxlGLXw9W6zugl2bXPhByyAWkGRN9EYiOk05zEo9ZKlzUOJMDwx\nLzoN86PubFaY+3DPuo8hwSbxk4GfSWbPmmJTmAo70KZvzVsuAIAeYxcMSj2OuI6D5VhJXn8xId5Y\nusYo5Uq06ewYC02A5dicNVOhWW2BVZPLmnpw2HUUZ/wjC270EsNkkZ3mpWJRN+E0x8IfD+TtJBcM\nWqqSNucj7+I7zidCUwgmQtjauqXghzIXGnm625xq3sRSZybyLnxRrlfpMRYYB8dxJX+2eMaFend+\n8QbSLpGXtG/FmxPv4HdDL+KmFdeX9dpA2kMjxaVENbTKGBnW2dZgz+RenA2Mo8fUteD9zvhH8NLI\na5iOOaBltDCqDJn/jDBl/mxSGWFSGWFWN5X9HlaLRSPeQDpdMx6ahCPsRKt+vkEKy7EY8g+jVWdf\nsENTMGvxlS7exY6JlQp/xe2JefOKtzeWNmhpUpkqeh4gy9+8hJr38TLr3cBMwxpF3sRSp9jIO8ml\nEEvFhHHKUuGd1cSIN5AuB57wnMKLwy9jnW0N+s3Lynr9uTu8C8GL94Dr2CzxZjkWBx0D2DX6mjA6\nrFGoC353fGDZ1bhh2dWlHb7KLCrx7jZ04G28h9Hg+ILiPRGaQiwVFzrL59Jn6gYDpqyO82IMWsqB\nb0BzR71Ynieo9kR9MKkMFTVo4eFXEzpLiLzLrXcDWaNiFHkTSxw+oyYm8jZkNa2VL97iI28g7b3w\np+s+hv/Y+308cuQJPHDBfdCWcQaxzWo851hXQsbIcNh1DNcvuwrRZAxvTbyLP46+JnxPrbOtwZXd\nl+PSVZswOe1FIB5M/5cIwh8PIhAPIBAP4o3xPXhrYi+u77tqUUTfi0q8szvOz2/dNO/np7OWkSyE\nRqFBu74Vw/5RpNhUSYI3FXbAoNRDl2f2UgqsIlzWWI6FL+ZDp7E4j/BSSe/1thZd82Y5FoPeU2jW\nWIWmt1LQkkkL0SC4ox7IGJmojFq2eDdnViCXylhoAnJGXlRwsrypF9f2XYHnz+zCL078GnevvaPk\n18+1TSwXOqUOy0y9OO07g6cGf4PdE+8ikoxAKVPg0o4LcUX3ZWjLPBfDMFDIFLBozAtmM/3xAN6d\n2o+zwQl0V+k7tRwWTcMaULjjfKZZbWHxBtJ17zibwLiIefG5JNgkXBG3KE/zchH2eudxWQslwkhy\nqap0mvNYNRZEklGEE+JnK88GxhFJRsuKuoFskxbx3ebOiAuff+3LeG/6YFmvTRDVxB31wqxuEhVg\nCOJdZtMay7EYD06iTW8vOrC5oe8q9Bi7sGdyb1mftYnQFDRyTVGmU+ub14ADh5dGX4OCkeMDy67G\nVy95AHeuuVUQbjHwpdQDjkNFn7sWLCrx1il1sGosGA2MLeivO+QbhlahQdsCKXWePmHeu/jUuSPM\nLySpbMocyLJIzRN5zxi0VL7TnKeUcTEp6t1AeixGxsiKalg77RtGMBHCs6eea8iOVGLxkWST8MX8\nolLmAKBXZTaLlTku5oi4kGATRW/7A9Ljrfes/SiUMiWeOPYrwX+iGJJsEtNhB9r19qLS1he3b8WF\nbefhT9Z8BF+95Iu4YdnVMKoMRb/+WutqKGQK7HccLvqxtWBRiTeQrnsHEyH44rPHvYLxEKYjznnm\nLHMpx2lNaFbTV1689QodlDIlvPnEu4oGLTwz42Li6958vXtlmZE3wzDQyAs3nWTDf4k4Iq5F86Ek\nGhtvzAcOHCxqcSUmqXZ68/XuDoO4evNcWvV23NL/AYSSYTx29BdFXyxPh51gObZo62SjyoC7196B\nSzougFKEj0YuNAo1zrGuwkRoSuhtqmcWnXh35nBaG/JnUuY56t08rboWaBUa4f7FUK1mNSDjJa4x\n511OIrirVTFt3sy7rImMvJNsEid9Q2jT2dGkLn9lqVquLiry9mbN9L84/MeGXiFILA74nhKbyMh7\nxt88XNbrFjMmlottnRdjrW01jrpP4NWzu4t6rLDDu8SLBynYJKTO6/9Cf9GJd3eOurfQrJan3g2k\nZwP7TD2YDjuLvlLlxVvsQpJysajNCCXCiKfiC/68FmlzK582F7ldbNh/FvFUvOx6N4+YcY9s+Auc\nfvMyjATGhBQ+QdQrYt3VeAyZ5tlya97FjoktBMMwuGvNbdArdXjm1O+Kcl8T42leaTY0r4WMkS2K\nLN2iE2++43yu09qQbxgMGPQ1dRd8Dn7eu9j93lNhB+SMXIg+K43QtJYjdV6LyNtWZORdrp/5XDRy\nTVHd5t6YDwpGjpv7PwAAeHH4ZUnOQRCVopgZbwAwqKRKm4/DqEwblpRDk9qEO9d8BAk2iUcGfoZk\nSpz7Wj2It16pwyrzCgz7R0XZU9eSksX72WefxU033YRbb70Vr7zyCiYnJ7Fjxw7cdddduO+++5BI\nFF7dWQoWtRl6hW5W5J1iUxj2j6Jd3wqtQlvwOUqpewsLSbS2qsxUA9kd5ws3f/AGLWZ15Q1aeHQK\nLTRytehxseOek2DAoN+Sf4e5WDQKNVJcSvRedm/Uhya1CX2mHqyy9OOYZxAj/rOSnIUgKgEfeecz\nZ8pGq9CAAVOWeEeSEbiinrKi7mw2tazHRe3nYzQ4jqeOPCfqMROhKWgV2qoYTuXj3JZ1AIADjoGa\nnqMQJYm31+vFf/7nf+KJJ57AD37wA+zatQsPPvggduzYgcceeww9PT146qmnpD4rgHRaptPYAWfE\nJayCGw9NIs4mcpqzzKXXlI7Oi+k498cCiCQjVal388ysBl34CtAT9VbNoIUnXYu3wBXxFKwfx1MJ\nDPmG0WVoF+py5VLMuFiKTcEfDwiZiWt63g8AeHHkZUnOQhCVYCbyFifeMkYGvVJX1k7v8WA66pVK\nvAHgtpU3wqxuwrPHXii4iTDBJuGIuNAuwtO80mzMiPf+Oh8ZK0m833zzTVx66aXQarVobm7GV77y\nFbz99tvYvn07AGD79u14883KLWvn6958jea0iPnubAxKPey6Zpzxj4ruiBzzp/9xV1O8rXlmvTmO\ngzfmq8pCkrnYtFZEU9GCDTJDvmEkuZRk9W5gZrOYmKY1fzwADpwg3musK9Ft6MC+6UOYDjslOxNB\nSIk76oFBqYdKrhL9GIPKUFb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FMyPejR155/c392XGxIotLfQYuxBMhISu/qXKvulD+Por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/v4kqw2zREIiSCfKgKBQMiSah1rk+rCB2eHYbK58ZF1tWiK6ckTCFxCgjeBQCBkCZt5v318AEPW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\nlWHyJiIiUhkmbyIiIpVh8iYiIlKZfwDM2tpgxHUNQAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df2011[['BETN029', 'BETR801']].resample('W').agg(lambda x: x.quantile(0.75)).plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "clear_cell": false, + "collapsed": true + }, + "outputs": [], + "source": [ + "data = data.drop('month', axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "
\n", + " QUESTION: The typical diurnal profile for the different stations?\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "clear_cell": true, + "collapsed": false, + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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ezF8az56PStn5QTGr7p4mH2avggTyRYz39ot2u51vfetr9PR0YzKZ+OY3v8rD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\nhY58ipwFFLkKKHYWUuwqSD0vpMhZgM1svEHHgwrIgUCAH/7wh/z617/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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data.groupby(data.index.hour).mean().plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + " QUESTION: What is the difference in the typical diurnal profile between week and weekend days? (and visualise it)\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "#data = pd.read_csv('data/airbase_data.csv', index_col=0, parse_dates=True, na_values=[-9999])[['BETR801']]\n", + "#data = data['1999':]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data.index.weekday?" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data['weekday'] = data.index.weekday" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Add a column indicating week/weekend" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data['weekend'] = data['weekday'].isin([5, 6])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " FR04037 BETR801 FR04012 BETN029 weekday\n", + "weekend \n", + "False 0 34.439398 40.008066 52.094663 17.487512 1.998157\n", + " 1 31.585121 38.281875 44.721629 17.162671 1.997315\n", + " 2 30.865143 38.601189 43.518539 16.800076 2.000000\n", + " 3 32.963500 42.633946 51.942135 16.591031 2.002360\n", + " 4 40.780162 49.853566 72.547472 16.791971 2.003883" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_weekend = data.groupby(['weekend', data.index.hour]).mean()\n", + "data_weekend.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + "weekend False True \n", + "0 40.008066 42.606821\n", + "1 38.281875 39.698565\n", + "2 38.601189 37.649595\n", + "3 42.633946 36.971797\n", + "4 49.853566 37.908454" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_weekend_BETR801 = data_weekend['BETR801'].unstack(level=0)\n", + "data_weekend_BETR801.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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I8cVXjtoO1qQvbdDWoef3b52gpb2bHy5KwN/DSdrNjMz1OlgxLZqXtqTzxrZ0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\nJqamBq3LEu0gq/Qw2wvSCfcO5ab46VqXIwQg4StEC1+dDw+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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data_weekend_BETR801.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "data_weekend_BETR801 = data_weekend_BETR801.rename(columns={True: 'weekend', False: 'weekday'})" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data_weekend_BETR801.columns.name = None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data_weekend_BETR801.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "data = data.drop(['weekday', 'weekend'], axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "clear_cell": false, + "slideshow": { + "slide_type": "subslide" + } + }, + "source": [ + "
\n", + " QUESTION: What are the number of exceedances of hourly values above the European limit 200 µg/m3 for each year/station?\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "clear_cell": true, + "collapsed": true + }, + "outputs": [], + "source": [ + "exceedances = data > 200" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [], + "source": [ + "# group by year and count exceedances (sum of boolean)\n", + "exceedances = exceedances.groupby(exceedances.index.year).sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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BETR801BETN029FR04037FR04012
19990.00.03.039.0
20000.00.00.017.0
20010.00.00.088.0
20020.00.00.012.0
...............
20090.00.00.058.0
20100.00.00.0104.0
20111.00.00.062.0
20126.00.00.013.0
\n", + "

14 rows × 4 columns

\n", + "
" + ], + "text/plain": [ + " BETR801 BETN029 FR04037 FR04012\n", + "1999 0.0 0.0 3.0 39.0\n", + "2000 0.0 0.0 0.0 17.0\n", + "2001 0.0 0.0 0.0 88.0\n", + "2002 0.0 0.0 0.0 12.0\n", + "... ... ... ... ...\n", + "2009 0.0 0.0 0.0 58.0\n", + "2010 0.0 0.0 0.0 104.0\n", + "2011 1.0 0.0 0.0 62.0\n", + "2012 6.0 0.0 0.0 13.0\n", + "\n", + "[14 rows x 4 columns]" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "exceedances" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = exceedances.loc[2005:].plot(kind='bar')\n", + "ax.axhline(18, color='k', linestyle='--')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + " QUESTION: And are there exceedances of the yearly limit value of 40 µg/m3 since 200 ?\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "clear_cell": true, + "collapsed": true + }, + "outputs": [], + "source": [ + "yearly = data['2000':].resample('A').mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "FR04037 5\n", + "BETR801 13\n", + "FR04012 13\n", + "BETN029 0\n", + "dtype: int64" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "(yearly > 40).sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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V/DU1rf6evuoqDv3j7xS9/Bf8TifWa66ly/0PSeIWQggREh0+eUNgfNnkaRfg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\n9DMMBklrtVe23kuBbzIZkKkI12xmTNCmKkK5opU8kz4xk2x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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "yearly.plot()\n", + "plt.axhline(40, linestyle='--', color='k')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + " QUESTION: The maximum daily 8 hour mean should be below 100 µg/m³. What are the number of exceedances of this limit for each year/station?\n", + "
\n", + "\n", + "Tip: have a look at the `rolling` method to perform moving window operations.\n", + "\n", + "Note: this is not an actual limit for NO2, but a nice exercise to introduce the `rolling` method. Other pollutans, such as 03 have actually such kind of limit values." + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + " QUESTION: Visualize the typical week profile for the different stations as boxplots (where the values in one boxplot are the daily means for the different weeks for a certain weekday).\n", + "
\n", + "\n", + "Tip: the boxplot method of a DataFrame expects the data for the different boxes in different columns). For this, you can either use `pivot_table` as a combination of `groupby` and `unstack`" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "clear_cell": true, + "collapsed": false, + "slideshow": { + "slide_type": "fragment" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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BETR801weekdayweek
1990-01-02 09:00:0048.011
1990-01-02 12:00:0048.011
1990-01-02 13:00:0050.011
1990-01-02 14:00:0055.011
1990-01-02 15:00:0059.011
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" + ], + "text/plain": [ + " BETR801 weekday week\n", + "1990-01-02 09:00:00 48.0 1 1\n", + "1990-01-02 12:00:00 48.0 1 1\n", + "1990-01-02 13:00:00 50.0 1 1\n", + "1990-01-02 14:00:00 55.0 1 1\n", + "1990-01-02 15:00:00 59.0 1 1" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# add a weekday and week column\n", + "data['weekday'] = data.index.weekday\n", + "data['week'] = data.index.week\n", + "data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "clear_cell": true, + "collapsed": false, + "slideshow": { + "slide_type": "subslide" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekday0123456
week
128.54545525.72727330.26087022.70454544.47368427.11363639.590909
255.22727360.11363650.25000042.55000058.70454568.18181868.568182
373.704545113.86363661.04545543.63636443.36363628.82608722.340909
446.94444471.65909157.56521759.83333365.81818250.18181829.500000
547.77500053.75000041.31818244.22727372.25000076.40909168.500000
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" + ], + "text/plain": [ + "weekday 0 1 2 3 4 5 \\\n", + "week \n", + "1 28.545455 25.727273 30.260870 22.704545 44.473684 27.113636 \n", + "2 55.227273 60.113636 50.250000 42.550000 58.704545 68.181818 \n", + "3 73.704545 113.863636 61.045455 43.636364 43.363636 28.826087 \n", + "4 46.944444 71.659091 57.565217 59.833333 65.818182 50.181818 \n", + "5 47.775000 53.750000 41.318182 44.227273 72.250000 76.409091 \n", + "\n", + "weekday 6 \n", + "week \n", + "1 39.590909 \n", + "2 68.568182 \n", + "3 22.340909 \n", + "4 29.500000 \n", + "5 68.500000 " + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# pivot table so that the weekdays are the different columns\n", + "data_pivoted = data['2012'].pivot_table(columns='weekday', index='week', values='BETR801')\n", + "data_pivoted.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "clear_cell": true, + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/joris/miniconda3/lib/python3.5/site-packages/ipykernel/__main__.py:1: FutureWarning: \n", + "The default value for 'return_type' will change to 'axes' in a future release.\n", + " To use the future behavior now, set return_type='axes'.\n", + " To keep the previous behavior and silence this warning, set return_type='dict'.\n", + " if __name__ == '__main__':\n" + ] + }, + { + "data": { + "image/png": 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