{ "cells": [ { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "
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\n", "\n", "# Project 2: Holiday weather - Chester, UK\n", "\n", "#### produced by [Jez Phipps](https://www.futurelearn.com/profiles/3841612) on 17th October 2016.\n", "\n", "This is the project notebook for Week 2 of The Open University's [_Learn to code for Data Analysis_](http://futurelearn.com/courses/learn-to-code) course.\n", "\n", "In this project I am going to use the historic weather data from the Weather Underground website for the historic city of [_Chester_](http://www.visitchester.com/perfect-chester). In a rather rare burst of optimism, I decided to attempt to predict the best two good weeks to take off next summer. Of course the weather next year may be very different to 2015 but it should give me some indication of when would be a good time to take a summer break.\n", "\n", "## Getting the data\n", "\n", "The 'Chester_2015.csv' source data can be obtained as follows. Right-click on the following URL and choose 'Open Link in New Window' (or similar, depending on your browser):\n", "\n", "http://www.wunderground.com/history\n", "\n", "When the new page opens, start typing 'Chester' in the 'Location' input box and when the pop up menu comes up with the option 'Chester, United Kingdom' select it and then click on 'Submit'. \n", "\n", "When the next page opens click on the 'Custom' tab and selet the time period From: 1 January 2015 to: 31 December 2015 and then click on 'Get History'. The data for that year should then be displayed. Scroll to the end of the data and then right click on the blue link labelled 'Comma Delimited File':\n", "\n", "- if you are using the Safari Browser choose Download Linked File As ... \n", "- if you are using the Chrome Browser choose Save Link As ... \n", "\n", "then, in the File dialogue that appears save the file with its default name of 'CustomHistory' to the folder you created for this course and where this notebook is located. Once the file has been downloaded rename it *from* 'CustomHistory.html' *to* 'Chester_2015.csv'." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "Note:

Option to toggle code visibility on/off is at bottom of page.

" ] }, "execution_count": 1, "metadata": { }, "output_type": "execute_result" } ], "source": [ "from IPython.display import display, HTML\n", "HTML('''Note:

Option to toggle code visibility on/off is at bottom of page.

''')" ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "Next, we must load the CSV file into a dataframe, making sure that any extra spaces are skipped." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [ ], "source": [ "import warnings\n", "warnings.simplefilter('ignore', FutureWarning)\n", "\n", "from pandas import *\n", "chester = read_csv('Chester_2015.csv', skipinitialspace=True)" ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "## Cleaning the data\n", "First we need to clean up the data. \n", "\n", "This involves: \n", "- renaming `'WindDirDegrees< br />'` to `'WindDirDegrees'`, if required; \n", "- removing the `< br />` html line breaks from the values in the `'WindDirDegrees'` column;\n", "- and changing the values in the `'WindDirDegrees'` column to `float64`." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ ], "source": [ "chester = chester.rename(columns={'WindDirDegrees
' : 'WindDirDegrees'})" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ ], "source": [ "chester['WindDirDegrees'] = chester['WindDirDegrees'].str.rstrip('
')" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "dtype('float64')" ] }, "execution_count": 5, "metadata": { }, "output_type": "execute_result" } ], "source": [ "chester['WindDirDegrees'] = chester['WindDirDegrees'].astype('float64')\n", "chester['WindDirDegrees'].dtypes" ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "We definitely need to change the values in the `'GMT'` column into values of the `datetime64` date type." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ ], "source": [ "chester['GMT'] = to_datetime(chester['GMT'])" ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "We also need to change the index from the default to the `datetime64` values in the `'GMT'` column so that it is easier to pull out rows between particular dates and display more meaningful graphs: " ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ ], "source": [ "chester.index = chester['GMT']" ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "## Finding a summer break\n", "\n", "According to meteorologists, summer extends for the whole months of June, July, and August in the northern hemisphere and the whole months of December, January, and February in the southern hemisphere. So as I'm in the northern hemisphere I'm going to create a dataframe that holds just those months using the `datetime` index, like this:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.5/dist-packages/ipykernel/__main__.py:1: DeprecationWarning: \n", ".ix is deprecated. Please use\n", ".loc for label based indexing or\n", ".iloc for positional indexing\n", "\n", "See the documentation here:\n", "http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\n", " if __name__ == '__main__':\n" ] } ], "source": [ "summer = chester.ix[datetime(2015,6,1) : datetime(2015,8,31)]" ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "I'll now look for the days with warm temperatures." ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/html": [ "
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GMTMax TemperatureCMean TemperatureCMin TemperatureCDew PointCMeanDew PointCMin DewpointCMax HumidityMean HumidityMin Humidity...Max VisibilityKmMean VisibilityKmMin VisibilitykMMax Wind SpeedKm/hMean Wind SpeedKm/hMax Gust SpeedKm/hPrecipitationmmCloudCoverEventsWindDirDegrees
GMT
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0 rows × 23 columns

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" ] }, "execution_count": 9, "metadata": { }, "output_type": "execute_result" } ], "source": [ "summer[summer['Mean TemperatureC'] >= 25]" ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "Summer 2015 was rather cool in Chester: there are no days with temperatures of 25 °C or higher. Best to see a graph of the temperature and look for the warmest period.\n", "\n", "So next we tell Jupyter to display any graph created inside this notebook:" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ ], "source": [ "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "Now let's plot the `'Mean TemperatureC'` for the summer:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false, "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "Text(0,0.5,'Mean Temperature ($^\\\\circ$C)')" ] }, "execution_count": 11, "metadata": { }, "output_type": "execute_result" }, { "data": { "image/png": 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" }, "execution_count": 11, "metadata": { }, "output_type": "execute_result" } ], "source": [ "ax=summer['Mean TemperatureC'].plot(grid=True, figsize=(10,6))\n", "ax.set_ylabel('Mean Temperature ($^\\circ$C)')" ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "Looking at the graph above, it is apparent that the two weeks at the end of June have mean temperatures over 20 °C.\n", "\n", "Let's also put precipitation on the graph:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 12, "metadata": { }, "output_type": "execute_result" }, { "data": { "image/png": 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" }, "execution_count": 12, "metadata": { }, "output_type": "execute_result" } ], "source": [ "ax=summer[['Mean TemperatureC', 'Precipitationmm']].plot(grid=True, figsize=(10,5))\n", "myLabels = ['Mean Temperature ($^\\circ$C)', 'Precipitation (mm)']\n", "ax.legend(labels=myLabels)" ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "The end of June / beginning of July still looks pretty good, with very little rain. Let's have a closer look by just plotting mean temperature and precipitation for the four weeks that span the end of June / beginning of July. " ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.5/dist-packages/ipykernel/__main__.py:1: DeprecationWarning: \n", ".ix is deprecated. Please use\n", ".loc for label based indexing or\n", ".iloc for positional indexing\n", "\n", "See the documentation here:\n", "http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\n", " if __name__ == '__main__':\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 13, "metadata": { }, "output_type": "execute_result" }, { "data": { "image/png": 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Y0K1bN8aPHw9ASEgIycnJddfddtttKIpCSEgIXl5ehISEoNFoCAoKuuY6T09P0tPTG/w4zF2DM1OqqmYAGbV/L1QUJRHoBEwHRtZethSIBv5kkCiFEK3Kmrg0SiurTbLw/HqTQ7x5ZWNii56dqqrW8o+fjnNPuC8hPk6mDke/GjmDpG9X1kxdz8HBoe7vqqoybty4G0pVR482biZNUZRb/vt6f/vb3xg1ahRr164lOTmZkSNHNuo+9bGxsan7u6qqNzxvZ2dHWVlZva/RaDR1/9ZoNFRVVd1w3dXX3Oy6srKym87atTQNJlNXUxTFH+gL7AO8ahMtgExqyoA3e81CYCGAl5cX0dHRzQxVCNEaaFWVz3aX0t1ZQ07SIaKTjHPfoqKiet9/ujtrWPV7EkFKmnGC0bO4rCqWHSrnXOoFHgqxafgFZs7JyYnCwkJTh3FDDEVFRWi12rrHg4OD2bNnD4cPH6Zbt24UFxeTnp6On58f6enpREdH079/fwoLC7Gzs6OkpISqqioKCwspLy9n48aNPP744xQXF7Njxw7++te/XnMPS0tL8vLy6u6Xm5uLq6srhYWFfPrpp6iqetPrysrKqKiooLCwkMjISL766itmzpzJihUrGDRoEIWFhVRWVlJaWnrNx3j9x2tpaUlVVRUXL17E1tb2mvgBqqurKS4uprCw8Jrnrh77+s/Z1c+pqkpGRgZubm4m/XpXV1dTWFhIWVlZs3OURidTiqK0A74HnlZVteDqDFpVVVVRlBvT2prnPgM+AwgPD1d1zaSFEC3brlMXySrZzwu39WFk305Gu290dHS9v8mfsTzHPzccxy84gi7uDje9xpx98cU+oJykQgtGjBjR4AyHuUtMTMTR0dHUYdwQQ7t27dBoNHWPOzo6snTpUhYsWEB5eTkAr7zyCv369eO7777jiSeeoLS0FDs7O7Zt24a9vT2WlpY4OjpiY2NDWFgY06ZNIycnhxdffJGAgACSk5Pr7jF58mTeffddhg0bxgsvvMCf//xn5s2bx5tvvsmUKVNQFOWm19na2mJtbY2joyMff/wxf/jDH/jggw/w8PDgq6++wtHRESsrK+zs7K75GG/2OZ8wYQJHjhxh7Nix18QPNe0jHBwccHR0vOa5q8e+/nN29XOxsbEMGjQIFxcXg3z9GquwsBBHR0dsbW3p27dvs8ZQbja1d8NFimIFbAB+VlX1rdrHTgIjVVXNUBTFG4hWVbXnrcYJDw9XY2NjmxWoEKJ1eGhpLIfOX+L3F0ZjY2mc42Pg1slURn4pg/79K89P6NniSn1nLhYx5s2d9PBsR1J2EVueHkavDu1NHZZOEhMTCQwMNHUYBvXSSy/Rrl07Fi1aZOpQbungwYO8/fbbLFu2TO9jP/XUU0ybNo0xY8bofeymuJJM3ez7TlGUOFVVwxsao8EF6ErNrzhfAolXEqla64F5tX+fB/zY6MiFEG1S2qUSfj2RxX2RvkZNpBri7WRHfz8XNsS3vBYJy2JSsLJQePveMAB2nrxo4ohEa9KvXz9GjRplkKadwcHBJk+k9KUxu/mGAHOA0YqiHK79Mxl4DRinKEoSMLb230IIUa8V+2p63Nxv5HP4GmNKiDeJGQWcvVhk6lAarbi8iu/j0pgU7E1wJyd6ejmyK0mSqZbgpZdeMvtZqSvmz59vkKadCxYs0PuYptJgMqWq6h5VVRVVVUNVVQ2r/bNJVdVcVVXHqKraQ1XVsaqq5hkjYCFEy1RWWc2qA6mMDfSik7P57d6ZXNvAsyUdL7Pu8AUKy6uYN7gmOR3R04MD5y5RUlHVwCvNX2OWoAihL7p+v0kHdCGEUWw6mkFecQVzB/mbOpSb6uBkS3gLKvWpqsqymBR6e7enX+eaBbzDe3hQUa1l79lcE0enG1tbW3JzcyWhEkahqiq5ubnY2to2e4wmtUYQQojmWhqTQlcPB4Z0N99Ox1NCvfnHT8c5c7GIbh7tTB3OLR1IvsSJzEJeuzOkbvdeuL8LtlYadp3KYXSvm3araRF8fHxIS0vj4kUpWQrDKysrw9nZGR8fn2aPIcmUEMLg4tMucyT1Mn+/rbdZb9ufFOzNyxuOsyk+gyfG9DB1OLcUFZNMe1tLpof9r72ErZUFg7q6sfNUy05CrKys6NKli6nDEG1EdHR0s1siXCFlPiGEwUXFpGBvbcFd/Zv/m58xXCn1mfvBx9kFZWxJyGRGuC921tcuDB4e4MG5nGJS80pMFJ0QbY8kU0IIg7pUXMFPR9K5o28n2tua9hy+xpgS4s2JzEJOZ5vvrr6V+1Op0qrMHnjjrsjhAR4ALX52SoiWRJIpIYRBfRebSnmV1mwXnl9vUog3imK+u/oqq7V8sz+F4QEeN+3W3tXdAR8XO0mmhDAiSaaEEAZTrVVZvi+FyC6u9Oxg+uNBGsOrvS0Rfq5sNNNdfVuPZ5FVUM7cm8xKQc1hucMDPIg5k0tltdbI0QnRNkkyJYQwmJ2nsknNK2XuIPNr0nkrU0K9OZlVyOls0x+2e72omGQ6OdsxqpdnvdeMCPCgqLyKgymXjBeYEG2YJFNCCIOJiknB09GGCUEdTB1Kk0wK7oCiwMb4TFOHco1TWYXsPZvH7IF+WGjq3xU5uJsblhpFSn1CGIkkU0IIg0jJLWbnqYvMjOyMlUXLeqvxbG9LhL8rG4+mmzqUa0TFJGNtqeHeCN9bXudoa0W/zi5ytIwQRtKy3uGEEC3G8r0pWCgK9w/obOpQmmVqqDensopIyjKPUl9hWSVrD15gaqg3rg7WDV4/oqcHCRcKuFhYboTohGjbJJkSQuhdaUU138WmMSGoA17tm39EgylNvFLqM5NdfT8cvEBxRXWjd0UO71HTImHPaZmdEsLQJJkSQujdT0fSyS+tZE4LW3h+NU9HWyL9zWNXn6qqLNubQqiPE2G+zo16TVDH9rg5WLPrVI6BoxNCSDIlhNArVVWJ2ptMgFc7BnRxNXU4Opka6k1SdhGnTFzqizmTy+nsIubU0w7hZjQahWE93Nl16iJarRwYLIQhSTIlhNCrQ6mXSbhQwJxB/mZ9Dl9jTKjb1Wfa2amomBSc7a24rU/HJr1ueIAHucUVHM8oMFBkQghoZclUfkklW49nmToMIepVrVVJzChAVVvvTMGymBTa2VhyR99ODV9s5jwdbRnQxdWk66Yy8kvZmpjFveG+2FpZNPyCqwzrIUfLtBSqqnIys7BVvzecvVhESUWVqcMwiFaVTC3fl8KCqFjSL5eaOhQhbqCqKn/7MYFJ7+5m1hf7zGaXmL5kF5Tx9LeHWHvoAjPCfWhnY2nqkPRiSmhHTpuw1PfNvvNo1Zufw9cQD0cbgjq2l2SqBVh/JJ0J7+zi3k/3ktjKZhJzispZtPoIo9/cyZwv91NeVW3qkPSuVSVTk0O8AfM9U0u0bV//nsw3+84zNtCTY+kFTHp3N//aeJyi8pb9m1pltZYvdp9l9Js72XQ0k8dHdedPE3uZOiy9mRjUAY0CG0xQ6quo0rJyfyqje3ri62rfrDGGB3hwMOUShWWVeo5O6NP6w+m42FuRlF3I1Pf38I+fjlHQwr9mVdVavv7tHKPeiObHwxe4rU9H4lIu8cIPR1vdDFyrSqa6uDsQ1LG92WxlFuKK6JPZ/HPDccb39uKzOeH8+twI7u7vw+e7zzG69o2mJb65xJzJZcp7u3llYyLh/i78/MxwFk3o2eRylDnzcLRhQBc3NsanG/1rtDkhg5yicp12RY4I8KBKq/L7mVw9Rib0Kb+0kl1JF7mrnw87Fo3kvghfvv49mdFv7OT7uLQW+d5wIDmPqe/v4aWfjhPm68yWp4fz/sy+PDM2gB8OXuCTnWdNHaJetapkCmpmpw6dv8wFKfUJM5GUVcgT3xyiZ4f2vH1vGBqNgls7G167K5S1jw3Gq70tT317mPs+28vJzJZR+svML+OJlYeY+fleSiqq+XxuOF89EEEXdwdTh2YQU0K9OXOxmFNZRUa977KYFPzd7Ot6RjVHv84uOFhbsEtKfWZr6/EsKqtVpoR642xvzb/uCGH9H4fi42LHc6uPMOOTGI6l55s6zEbJLizj2VWHmfFJDAWllXw8qx9R8yPp5tEOgCfHdOe2Ph15/ecT/HzMvI5r0kWrS6am1Jb6NsvslDADecUVPLg0FhsrC76YF47DdeuI+nZ2Yd0fh/CvO4I5mVXI5Pd28/JPx812er+yWstnu84w5s1ofj6WyZNjerDt2RGM6+3V4nfu3crE4JpS38Z44x0vczy9gNiUS8we6IfmFufwNcTaUsOgbu7sPHWxRc5wtAWbjmbQydnumh5iIT5O/PDoYF6/O5SzOcXc9v4e/v5jAvml5vneUFWt5cs95xjzxk42xGfwx1Hd2PbcCCaFeF/z3qAoCv+9O5TQTk48s+pwi0kSG9Lqkil/dweCO7U3yfoGIa5WUaXlkeVxZBaU8dnc/nRytrvpdRYahVkD/Njx3EjuCfflq9/PMfqNnaw9ZF7T+7+dzmHSu7t5ddMJBnZ1Y+szw3l2XECrKunVx72dDQO7urHhaIbRvibL9iZja6VhRv9bn8PXGCN6epB2qZRzOcV6iEzoU35JJbuTLjI5pMMNv5BoNAr3hPuy47mRzB7ox7K9KYx+I5rvYlPNqnfYvrO5THlvD//ccJx+fi5seXoYz0/ohb31zTeh2FpZ8PnccNrbWrFgaSzZhWVGjlj/Wl0yBTWlvsOpl0m7VGLqUEQbpaoqf113lP3n8vjv3aH06+zS4GtcHKz5950h/PjHIXRyseOZVUfMYmdPRn4pf1xxkFlf7KOiSsuX88L58oEI/NxaZ0mvPlNCvTl7sZiTRtjVl19aybpD6Uzv0wkneyudxxtRWyaUUp/5+eV4Zm2Jr/4eYk72Vrw8PZifnhiKv7sD/7cmnrs++Z2EC6ad1ckqKOOpbw9x72d7KSqv4tM5/fn6DxF0rS3p3Ypne1u+mBfOpZJKFkbFUVbZsnf4tcpk6n+lvtZTjxUty5d7zvFdbBpPjO7O9LCm9VsK9XFm7aODee3OkLqdPS+tP2b06f2KKi0fR59hzJs72ZaYxTNjA/jlmeGMCfQyahzmYkLQlVKf4We918SlUVpZrbfjeDq72ePvZs+uJDlaxtxcKfH18XFq8Nqgjk6sfngQb8zoQ2peCbd9sIe/rjvK5ZIKI0T6P5XVWj7fdZbRb0SzOSGTJ0d3Z9uzI5gQdOPs2q0Ed3Li7Xv7cDj1Mv+3Jt6sZuKbqlUmU35uDoR0cmKDrJsSJrA9MYt/bUpkckgHnhkb0KwxNBqF+yI7s2PRSGZG+rI0Jpkxb0azJi7NKNP7u05dZOI7u/jPlhMM6e7OtmdH8NTYHm2ipFcf93Y2DOrmxsZ4w5b6tFqV5XtT6NfZmeBODf+AbawRAR7EnMltlT1+WqqaEl8OU0K9G52EaDQKd/f3YftzI5k3yJ9v9p1n1BvRfLv/vFHeG34/k8Pkd3fzr02JRHZx5Zenh/Ps+J7YWTfvvWFisDfPT+jJ+iPpfPDraT1HazytMpmCmlLfkdTLpOZJqU8Yz4nMAp5ceYjgjk68OSNMp4XDAM721rxyewg/PT4UX1d7Fq0+woxPDbez58LlUh5ZFsfcJfvRqipf/SGCz+eGN7vHUWszJaQjZ3OKOWHAXZd7TudwLqeYuYP89Tru8AAPSiuriU2+pNdxRfP9fDyTKq1aV01pCic7K16aFsTGJ4fR3bMdi384yh0f/0582mUDRFqzg/fxbw5y/+f7KKuq5ou54Sx5IAJ/PezgfWxkN+7o24k3t55qsX0iW0eL4puYEuLNf7acYHNCBguHdzN1OKINyCkq58GvY3GwseTzueHN/k3tZoI7OfH9I4NZczCN/2w+wW3v72H2QD+eGN1DL53Gq7RaomJSeP/XJAAWjQ9gwfCu2Fi23Zmom5kQ5MXffkxgY3wGgd7tDXKPqJgU3BysmRTSQa/jDuzqhrWFhp2nLjKku7texxbNs+loBj4udoQ2osRXn0Dv9nz38CDWHb7Aq5tOMP3D37gvojPPjO2Bo63u6+2qVZUVe1N4d3sS1VqVp8f24JER3fQ6S60oCv++M4SU3GKe/e4wvi72hOjwOTGFVptMdXazJ9TYQCwmAAAgAElEQVTHiY3xkkwJwyuvqubhZXHkFJWz+pFBdHCy1fs9ruzsmdC7A29tPcmyvSlExaTo9R4Tgzrw16mB+LjITNTNuLWzYVBXN5bvSyGggyO3NaE80xhpl0r49UQWj47spvdE1sHGknB/F3adusifJwfqdWxjeOGHeJKyivju4UE6z/iag8slFexJyuHBoV10/h5SFIU7+vowNtCLd7Yl8fXvyazcf15PkdYYG+jJi1OD6OxmmPcGWysLPp0Tzu0f/sZDUQdY//hQvNrr/33UUFptMgU1pb7XNp8gNa9EyhTCYFRV5YUfjhKXcokP7u9LqI9zwy/SgZO9Ff+YHsx9kZ3Zdeoi+lolEerjxOBuMmPRkJem9eaZVUd4cuUhVu47zz+mBxHg5aiXsVfsq/kBeP8A/Sw8v97wAA9e23yCrIKyFvWDKrugjNWxaVRpVdYeusBd/X1MHZLOfjmWVVPiC216ia8+jrZW/G1qb+6N8GXHiWy9vTcEdWxfd2i2IXk42vDFvHDu+vh3FkTFsmrhIL3O8BtSq06mptQmU5uOZvDwCJmdEobxyc6z/HDwAs+MDWDqLbY361ugd3uDlZpE/bp7OrLuj0P49sB5Xt9ykknv7uYPg/15SseySlllNd/uP8/YQK96e5LpakRtMrXz1EXuCde9f5WxrNyfSpVWpau7A//9+SSTQ7xbzA/Z+mysLfGF6HGTwRUBXo56S/CNLdC7Pe/e15eFy2JZtPoI78/s2yJmIlvtAnQAX1d7+vg4yVl9wmB+PpbJ6z+f4LY+HXlyTHdThyOMpK7R6qKR3BPuw5e/nWP0mztZd6j5ZyxujM/gUkml3heeX61XB0c8HW1aVL+pymot3+xPqZlVuyuUzIIyvtjdss91u1xSwW+nm7aLry0Z19uLxRN7sfFoBu9sTzJ1OI3SqpMpqCn1xafly64+oXfH0vN5ZtVhQn2c+e/dofKm2Aa5Oljz7ztDWffYEDo62fL0qsPc+9leTmQ2vdFq1N4Uuno4MKS7mwEiraEoCsN6eLDndA7VZtRB+1Z+OZZFVkE5cwf6EdnFlQlBXny880yL7pp9pcQ3NcR4M9ktzcLhXbm7vw/vbU/ix8MXTB1Og9pEMgXI7JTQq+zCMhYsjcXJzorP5/Rv0/2XBPTxdWbtY0P4950hJGUVMuW9Pfzjp2ONPmMxPu0yR1IvM2egn8GT8hE9PbhcUmmwLfT6FhWTTCdnO0b18gRg8aRAKqq0vL21ZcxY3MyGoxn4utoR3EnK9PVRFIV/3RFMpL8rz6+J59B5827p0eqTKV9Xe/r4Ohula7FoG8oqq1kYFcelkko+nxuOZwtayCsMR6NRmFnbaPW+CF++/j2Z0W/s5Pu4hs9YjIpJwd7awigLq4d1d0dRYNcp8++GfjKzkH3n8pg90A+L2nUzXdwdmDPIj1UHznPSgP2+DOVScW2JL6SjzGY3wMbSgo9n98OrvQ0Ll8WRfrnU1CHVq9UnUwBTQjpw9EI+53Ol1Cd0o6oq/7cmnsOpl3n73jC9dqgWrYOzvTX/uiOE9X8cio+LHc+tPsKMT+pvtHqpuIKfjqRzR99OtNdDX6CGuDhYE+rjzM5T2Qa/l66W7U3G2lLDvRHXLpZ/sra/2qubEk0UWfP9cjyTaq3KVD3u4mvN3NrZ8OW8CEorqnloaSwlFVWmDumm2kQyJaU+oS8f/Hqa9UfSeX5CTyYG67epomhdQnyc+OHRwbx+Vyhnc4q57f09/P3HhBvOWPwuNpXyKq1BF55fb0QPdw6nXia/xLjnPTZFYVklaw9eYGqoN64O1tc85+JgzROje7Dz1MUWtZgeYEN8Bp1d7QnqKCW+xgrwcuT9+/tyIrOAp789bJRjc5qqTSRTPi72hPk6s/FouqlDES3YpqMZvLn1FHf27cRjI6XVhmiYRqNwT4QvO54byeyBfizbm8LoN6L5LjYVrValWquyfF8KkV1c6dnBeFvZhwd4oFXhtzPmW+r74eAFiiuq600y5w72o7OrPa9uSmwxi+nziiv4/Uyu7OJrhlE9PfnLlN78cjyLN345aepwbtAmkimo6TmVcKGAlNxiU4ciWqCjafk8+91h+vu58O+7QuSNUDSJk70VL08P5qcnhuLv7sD/rYnnrk9+57NdZ0nNK2XuIMM06axPmK8zjraW7DxpnrM6qqqybG8KoT5OhPnevAmujaUFf5rYixOZhayJSzVyhM3zy7GaEl9zzuITMH+IPzMjffko+gw/HEwzdTjXaDPJ1JVzrlpyqa+kooonVh5qcdPaTREVk8x/tpxodq8eQ8gqKOOhqAO4Odjw6Zz+cl6daLagjk6sfngQb8zoQ2peCf/ZcgJPRxsmBBm3ZGxpoWFod3d2JV00q//Xrog5k8vp7CLmDLx1kjk5pAP9Ojvzxi+nKC43z7U0V9t4NAM/NynxNZeiKPxjWjADu7qy+PujxKXkmTqkOm0mmfJxsadv55a9q+/zXef46Ug6jy6Pa1YfG3NXUFbJa5tP8HH0GT749bSpwwGgtKKaBVGxFJVV8cW8cNzb2Zg6JNHCaTQKd/f3YftzI3l8VHdenh6MlYXx34qHB3iQkV/G6ewio9+7IVExKbjYW3Fbn1v3YVIUhb9M6c3FwnI+3WXejTzrSnwhUuLThbWlho9n9advZ2esLcznF9s2k0xBTanvWHoByTktr9SXXVDGp7vOMKyHOw42ljz4dSw5ReWmDkuvvo9Lo6Simsgurry59RSbTDyLqNWqLFp9hKMX8nn3vr5ydIvQKyc7KxaZcCPD8ICas9Z2mtlMd0Z+KVsTs7gnwrdR/dv6+7kwJdSbz3adITPffBt5/nylxCe7+HTm4mDNqocHEeJjPrup21QyNakF7+p785dTVFZreeX2YL6YF05OUTkPL4ujvKra1KHpxZU1En18nYmaH0m/zs48+91hjqbdfDu5MbyzPYmNRzN4YVIvxvb2MlkcQhhCJ2c7unu2M7tk6pt959GqKrObcNjz4om90GrhTTNcmHzFxvgM/N3s6S2/lLVKbSqZ6uRsR78WWOpLzCjgu7hU5g3yx8/NgVAfZ968pw9xKZd44YejZrnmoal+O53L2YvFzB3oh62VBZ/OCcfNwYaHog6QVWD83zZ/PHyB97YnMaO/DwuGdTX6/YUwhhEBHuw7l0dphXn8UlZRpWXl/lRG9/TE19W+0a/zdbVn3mA/1hxMq7eflynlFpXz+xk5i681a1PJFNT0nDqeUcC5FlLqU1WVVzcl0t7WisdH/+8g3amhHXlmbAA/HLzAxzvPmDBC/YiKScbVwbpuCtzD0YYv5oVTVFbFgqhYo77ZHzp/iefXxBPp78q/7pCde6L1Gh7gQUWVln3nck0dCgCbEzLIKSpnTjN2Nz4+qgdOdla8uinR7H7B/PlYFlr1fz0PRevTJpMpwOTrcRpr56mL7E7K4ckxPXC2v7Zx3ZNjunNbn468vuUkWxIyTRSh7i5cLmVbYhb3hF+7RiLQuz3v3teXoxfyWbT6iFEataVfLmXhsji82tvwyZz+WFu2uf9FRBsyoIsrNpYaszlaZllMCv5u9gzv4dHk1zrZW/HUmB78djqXHSfNq7v7xqPpdHF3kBJfK9bmflJ0dLajv58LG1pAqa+qWsurmxLxd7O/6RZhRVH4792h9PFx4plVh0m4YH7T243xzb4UVGDWgM43PDe2txcvTOrFxqMZvLvdsAebllRU8dDSWMoqqlkyL+KGrstCtDa2VhYM6OpmFkfLHE8vIDblErMH+qHRNG82eNYAP7q4O/DqphNUVWv1HGHz5BSVEyO7+Fq9NpdMQc3sVGJGAWcvmt+W4Kt9F5vGqawiFk/qVe8Mia2VBZ/PDcfZ3ooFUbFkF5rvbpabKa+q5tv9qYzpVf8aiQXDujKjvw/vbk9i/RHDdLHXalWeWXWYE5kFvHd/X3p4Ga8btRCmNLyHO2cuFnPBxIfILtubjK2Vhhn9fRu+uB7Wlhr+NLEXp7OL+PaAeTTy/PlYppT42oAGkylFUZYoipKtKErCVY+9pCjKBUVRDtf+mWzYMPVrcm0DT3Mu9RWVV/HW1pNE+Ls02NDPs70tn88N53JJJQuj4iirNI/FpI2x+WgmucUVzLnFuWSKovDKHcFE+ruyaPURDp2/pPc43tx6kp+PZfHXKb0Z1dNT7+MLYa5G1LZIMGUz4PzSStYdSmd6n0442et22POEIC8i/V15e+spCstMf/bgxvgMuro7EOgtv6C1Zo2ZmfoamHiTx99WVTWs9s8m/YZlWN5O5l/q+3TnGXKKKvjLlN6NmhoO7uTE2/eGcTj1Mv+3Jt7sFmDWJyomGX83e4Z1d7/ldTaWFnw8ux9e7W1YuCyOdD3+Fr32UBof7jjDzMjO/GGIv97GFaIl6O7Zjo5OtiY9WmZNXBqlldXNWnh+PUVR+OvUQHKLK/g42rSbc3KKytl7Vs7iawsaTKZUVd0FmE/Pdj2ZEuLNicxCzphhqS8jv5TPd59lWp+O9Z5LdTMTgzvw/ISerD+SbjYdxG8l4UI+B89fbvQaCbd2Nnw5L4LSimoeWhpLSYXux0fEpVziT2uOMrCrKy9PD5I3PNHmKIrC8AAPfjudQ6UJ1hlptSrL96bQr7MzwZ3004Qx1MeZ28M68uWecyYtX25JkBJfW2Gpw2sfVxRlLhALPKeq6k1rL4qiLAQWAnh5eREdHa3DLfXHpazmTePD9b8zrZt5LTT+PL6cqmotw5wuNfnz1RuVQR0teHPrKcouphDRQZcvsWEtSSjH2gK8y1KIjj7f6NctDLbg7bgC5ny4jT+G2aBpZgKUU6rl5ZhSXGwUZvuX8dvuXc0aR7QMRUVFZvP+Y27cKqsoLK/iq/U7CHAx7hEdCTlVnMspZ1yojV6/PkOdtGzQalkUtZOHQ231Nm5TrNhfSgcHhcwTcWSdlF/UzJU+3hua+5P2Y+CfgFr73zeB+Te7UFXVz4DPAMLDw9WRI0c285b6t+Lc7xwvrOKtkcNNHUqdhAv5/LZlDw+P6MqMSYHNGmPQ0Gru/3wvXx4rYOLQCLNquX9Ffkkl+7dv467+vkwZF9qk144EHLzP8c8Nx4mr8Ob5Cb2afP+i8iru/vh3VI0lKx4ZQnfPdk0eQ7Qs0dHRmNP7jznpW1rJJ/FbKXTwYeTInka99/KlB3BzuMxz94zS+yHiZ5Sasz5fuDOMUJ/Gz/Lrw8XCck7+vI3HR3Vn1Cjjfk5F0+jjvaFZu/lUVc1SVbVaVVUt8DkQqVMUJjIltKbUZy4Hfaqqyisbj+PqYM0fR3Vv+AX1uL6DuDmeV7U6LpWySi1zBvo36/Xzh/gzM7IzH+44w9pDaU16bbVW5amVh0jKLuKjWf0kkRJtnpOdFWG+zkZfhJ6aV8L2E9ncF+mr90QK4LGR3XBzsOaVjcZv5Lnlyi4+OYuvTWhWMqUoytXfHXcACfVda84mBXujKOazq297YjZ7z+bx9NgetLfVbUeLKTuIN0SrrTmHL9zPhd4dm9fETlEUXp4exMCurvxpzVHiUhq/w+/1LSfYfiKbl27rzbBmNAcUojUaEeBB/IV88oorjHbPFfvOowD3N+EcvqZwtLXi6XEB7D+Xxy/Hswxyj/psjE+nm4cDPaXNSpvQmNYIK4EYoKeiKGmKojwIvK4oylFFUeKBUcAzBo7TIDo42RLu52IWyVRltZZXNyfS1cOBmZE3Nq9sjisdxBPS83lu9WGjdBBvjJ1JF0nJLdF5546VhYaPZ/Wno7MtDy+LJe1SSYOv+S42lU93nWXuIL9btmMQoq0ZHuCBqsLuJOPMTpVVVrPqwHnGBnrRydnOYPeZGeFLNw8HXtt8wmgL7LMLy9h/Lo8poR1lU0sb0ZjdfDNVVfVWVdVKVVUfVVW/VFV1jqqqIaqqhqqqOk1VVdNnI810ZVff6exCk8axcv95zl4s5oVJgVhZ6K+X6pUO4puOZvKOgTuIN9aymBTc29kwKVj36W8XB2u+mBdBeZWWh5bGUlRe/w6//efy+Mvaowzt7s6LU3vrfG8hWpOQTk4421sZ7WiZjfEZXCqpZK6Bf6mxtNDw58mBnMspZsXeFIPe64qfa3fxTZFdfG1Gm+yAfrVJITWlvo3xpjvbrqCskne2JTGwqytjA/XfMPJKB/H3tifx4+ELeh+/KVLzSthxMpuZkb56O/euu2c7PprVj6TsIp7+9jDVN5mBO59bwsPLYvF1tefD+/thqceEVYjWwEKjMKyHB7uSLhplfVHU3hS6ejgwpLubwe81upcng7u58e72JPJLDd/Ic0N8Bt092xHgJesx24o2/xPFq70tEX6uJi31fbTjDJdKKvhrIxt0NtXVHcSfXxNvkA7ijbV8bwoaReH+m5zDp4thPTz4+2292ZaYxes/n7jmucKySh5cegCtCl/Oi9C5w7IQrdXwHu5cLCwnMcOwM/XxaZc5knqZuQP9jFIGUxSFv0wJ5HJpJR/uMGwPvuzCMvYn58lZfG1Mm0+moGZX38msQpKyjF/qS80rYclv57ijbye9Nay7GUN2EG+ssspqVsWmMi7QC28n/a+RmDvInzkD/fh051lWx9acy1WtVXli5SHO5RTz8ex+dHF30Pt9hWgtrhwts9PAu/qiYlKwt7bgzv4+Br3P1YI6OnFnXx++/i2Z1LyG11c215aETFS15ueKaDskmQImBXeoKfWZYHbqvz+fRAEWjTd8HxJDdBBvip+OpHO5pJK5ejgyoj4v3tabod3d+fPaoxxIzuPVTYlEn7zIy9ODGdzt1kfWCNHWeba3pVcHR4O2SLhUXMFPR9K5o28nnXctN9XzE3qi0cB/tpxo+OJm2hCfQQ/PdgTILr42RZIpat5AIvyNX+o7nHqZ9UfSWTCsKx0NuJvlagFejrx/f19OZBbw9LfG3eG3bG8K3T3bMaib4dZIWFlo+PD+fvi62jNvyX6+3HOO+UO66L2sKERrNSLAg9iUPIMdEvxdbCrlVVqDLzy/mQ5Otiwc1pUN8RnEJuv/lLTsgjIOJOfJ8TFtkCRTtaaGenMqq4hTRir1qarKvzYex72dDY+M7GaUe14xqqcnf53Sm1+OZ/HGLyeNcs/DqZeJT8tnjhHWSDjZW/HlvAhsLDWM6unBnyc3vUO6EG3V+CAvKqtVpn/wm95nqKq1Ksv3pRDZxZWeHUwzc/PwiG54tbdh1hf7eHdbEmWV+uvBt1lKfG2WJFO1Jl4p9cUbZ3bq52OZHEi+xLPjAmhnY/zz8/5Q20H8o+gz/HCwaR3EmyMqJhkHawvu7NfJ4PcC6OLuwJ4/jebLeRGyc0+IJujv58pXf4hAq6rMXbKfR5bF6e2w4J2nsknNKzVoqb8hDjaWrH1sCGMDvXh72ynGv72L7Yn6aei5MT6DAC8p8bVF8lOmlqejLZFGKvVVVGl5bfMJeni2455w4y3AvNrVHcQXf3+UuBT9T3lfkVdcwYb4DO7o1wlHI66RcLCxRKOR3TRCNNWonp5seXo4i8YHEH0qmzFvRvPBr0mUV+k2ixMVk4Know0TgjroKdLm6ehsx4ez+rH8wQFYWig8uDSWB78+wPnc5i9Mzyoo40CKlPjaKkmmrjI11JukbMOX+pbvTSE5t4Q/Twk06azJ1R3EF0bFNaqDeHOsOpBKhYnWSAghmsfWyoLHR/dg27MjGBngyRu/nGLC27vYcTK7WeOl5Baz89RFZkZ21mtjYl0M7eHOlqeG88KkXsSczWXs2zt5e+upZpX+Nh/NqCnxSTLVJpnHd7SZmBDcAY1SsxvDUPJLKnnv1ySG9XBnZIDpz4W70kG8orrhDuLNUa1VWb43hYFdXWXqW4gWyMfFnk/m9CdqfiQaReEPXx1gQVRsk9sLLN+bgoUBeszpytpSw8MjuvHrcyOZENSBd7cnMe7tnWw9ntWk5qWbjmbS08uRHvI+1yZJMnUVT0dbIrvUlPoM1QH4/V9rOvD+eXKg2TR0u7qD+FMrD920g3hz7TiRzYXLpTIrJUQLNzzAg81PD+P/JvZkT1IOY9/ayXvbG7eAu7Simu9i05gQ1AGv9rZGiLbpOjjZ8v7MvnyzYAC2lhYsiIpl/tcHSM4pbvC1mflS4mvrJJm6zpTQjpzOLuJUVpHex07JLWZpTDIz+vsQ6N1e7+Pr4koH8e0nsnldjz1Yovam4NXehnG9vfQ2phDCNGwsLXhsZHe2PzeCsYFevLX1FBPe2cWvJ269gPunI+nkl1bqfLi5MQzu5s6mp4bx1ymBHEi+xPi3d/HmLycprag/adycUFviCzXtWjBhOpJMXWdiUE2pb2N8ut7Hfn3LSSw1Gp4zQoPO5qjrIL7rLN/VdhDXxbmcYnadusj9kX5ms0ZCCKG7axZwaxTmfx3LQ0tvvoBbVVWi9iYT4NWOAV1cTRBt01lZaHhoWFd+fW4Ek0M68P6vpxn71s7a7uY3ztxvOppBrw6OdPeUEl9bJT/hruPhaMOALm5s1HOpLy4lj41HM3h4RFezneaG/3UQ/8vao+w/p9sOv+V7U7DUKMyM9NVTdEIIczK0hzubaxdw/37m5gu4D6VeJuFCAXMG+ZvN0obG8mxvyzv39eXbhQNpZ2PJI8vjmPfVAc5e/F/lIjO/jAPJl6TE18ZJMnUTU0K9OXOxmJN62tWnqiqvbEzE09GGhcO76mVMQ6nrIO5iz8PLYpu9VbikoorvYlOZGNwBTzNOHoUQumloAfeymBTa2VhyR1/j9JgzhIFd3djw5FD+NrU3h1IuMfGd3by+5QQlFVV17XQkmWrbjN8tsgWYGNyBF39MYE1sGvOHdtF5vN1JFzl0/jKv3xWKvbX5f8qd7K348oEIbv/wNx5ceoAfHhvc5P5QPx5Op7CsShaeC9FGXFnAPTPSl7//eIwFUbGMCPAg5kwuMyN9TdKcWJ+sLDQ8OLQLt/Xx5rVNJ/go+gzrDl3A2lJTW+JrZ+oQhQm17O9uA3FvZ8Ogbm58seccX+w5p5cxe3Vw5C4jnpCuqy7uDnw8qx9zl+zniZWH+HJeBBaNbICpqipRMSn06uBIhL+LgSMVQpiTKwu4l/6ezDvbkqio1raIheeN5eloy1v3hjFzQGf+ti6BE5mFLBofYOqwhIlJMlWP1+4M5fczOXobb3Qvr0YnI+ZicHd3/jE9iL+sTeDVTYn8bWrvRr0uLuUSiRkF/OuO4Ba3RkIIobsrC7in9elISl5Jq1yYHeHvyoYnhrLndA4Duxru8HbRMkgyVQ9fV3vudTWv5nKmMGuAH6ezi/hyzzm6e7ZjZmTDn5OomBQcbSy5PazlrpEQQujOs71tq14zaWmhYWRPT1OHIcyALEAXDfrL5EBGBHjwt3UJDc7WXSwsZ3NCBnf198Ghha+REEIIIRpDkinRIEsLDe/f3xd/dwceXX6Qc7foCPzt/vNUVqutao2EEEIIcSuSTIlGaW9rxZfzwtEo8ODSA+SXVt5wTVW1lm/2n2dod3e6ecjOFiGEEG2DJFOi0fzcHPhkdn9S80p4/JuDVFVrr3l+W2IWGfllMislhBCiTZFkSjTJgK5uvHJ7MLuTcvjnhuPXPBcVk0JHJ1vG9JIFmUIIIdoOSaZEk90b0ZkFw7qwNCaFZTHJAJzOLuT3M7nMGuiHpZzDJ4QQog2R7VaiWRZPCuTMxWJe+uk4XdzbsfV4JtYWGu6LkHP4hBBCtC0yhSCaxUKj8O59YXT3aMdjK+L4/uAFpoR649bOxtShCSGEEEYlyZRoNkdbK76YF46VhYai8ipZeC6EEKJNkjKf0Imvqz1RD0Zy4FwefX2dTR2OEEIIYXSSTAmdBXV0Iqijk6nDEEIIIUxCynxCCCGEEDqQZEoIIYQQQgeSTAkhhBBC6ECSKSGEEEIIHUgyJYQQQgihA0mmhBBCCCF0IMmUEEIIIYQOJJkSQgghhNCBJFNCCCGEEDqQZEoIIYQQQgeSTAkhhBBC6ECSKSGEEEIIHUgyJYQQQgihA0mmhBBCCCF0IMmUEEIIIYQOJJkSQgghhNCBJFNCCCGEEDpoMJlSFGWJoijZiqIkXPWYq6IoWxVFSar9r4thwxRCCCGEME+NmZn6Gph43WOLge2qqvYAttf+WwghhBCizWkwmVJVdReQd93D04GltX9fCtyu57iEEEIIIVoEy2a+zktV1Yzav2cCXvVdqCjKQmAhgJeXF9HR0c28pRBCNF9RUZG8/wghbqCP94bmJlN1VFVVFUVRb/H8Z8BnAOHh4erIkSN1vaUQQjRZdHQ08v4jhLiePt4bmrubL0tRFG+A2v9m6xSFEEIIIUQL1dxkaj0wr/bv84Af9ROOEEIIIUTL0pjWCCuBGKCnoihpiqI8CLwGjFMUJQkYW/tvIYQQQog2p8E1U6qqzqznqTF6jkUIIYQQosWRDuhCCCGEEDqQZEoIIYQQQgeSTAkhhBBC6ECSKSGEEEIIHUgyJYQQQgihA0mmhBBCCCF0IMmUEEIIIYQOJJkSQgghhNCBJFNCCCGEEDqQZEoIIYQQQgeSTAkhhBBC6ECSKSGEEEIIHUgyJYQQQgihA0mmhBBCCCF0IMmUEEIIIYQOJJkSQgghhNCBJFNCCCGEEDqQZEoIIYQQQgeSTAkhhBBC6ECSKSGEEEIIHUgyJYQQQgihA0mmhBBCCCF0IMmUEEIIIYQOJJkSQgghhNCBJFNCCCGEEDqQZEoIIYQQQgeSTAkhhBBC6ECSKSGEEEIIHUgyJYQQQgihA0mmhBBCCCF0IMmUEEIIIYQOJJkSQgghhNCBJFNCCCGEEDqQZEoIIYQQQgeSTAkhhBBC6ECSKSGEEEIIHUgyJYQQQgihA0mmhBBCCCF0IMmUEEIIIYQOJJkSQgghhNCBJFNCCCGEEDqQZEoIIYQQQgeSTAkhhBBC6ECSKSGEEEIIHUgyJYQQQgihA0mmhBBCCCF0IMmUEEIIIYQOLHV5sR6Z5rkAABuQSURBVKIoyUAhUA1Uqaoaro+ghBBCCCFaCp2SqVqjVFXN0cM4QgghzEFFMVg7mDoKIVoMKfMJIYT4n5QYeM0P4r42dSRCtBi6zkypwC+KoqjAp6qqfnb9BYqiLAQWAnh5eREdHa3jLYUQoumKiork/acRAk5+REdtJdoNz3IktZh85yBThySEQenjvUFRVbX5L1aUTqqqXlAUxRPYCjyhququ+q4PDw9XY2Njm30/IYRorujoaEaOHGnqMMxbdRW82RM69YO8c1CaBwt2gIufqSMTwmBu9d6gKEpcY9aD61TmU1X1Qu1/s4G1QKQu4wkhhDChlN+gJAf6zoaZ34K2Cr69H8qLTB2ZEGat2cmUoigOiqI4Xvk7MB5I0FdgQgghjOz4j2BlD93HgXt3uPsryD4Oax8GrdbU0QlhtnSZmfIC9iiKcgTYD2xUVXWLfsISQghhVNpqSPwJeowDa/uax7qPgQmvwokNEP2qaeMTwow1ewG6qqpngT56jEUIIYSpnI+B4mzoffu1jw94BLKOwa7/gmcgBN9lmviEMGPSGkEIIURNic/SFnqMv/ZxRYEpb0HnQbDuMUg/ZJr4hDBjkkwJIURbp9XC8fXQfSzYtLvxeUtruGcZOHjAyvuhMNP4MQphxiSZEkKIti5tPxRlQtAd9V/TzgNmroSyfPh2FlSWGS8+IcycJFNCCNHWHVsHFjY3lviu1yEE7vwULsTCT0+BDn0KhWhNJJkSQoi2TKuFxPU1O/ds2zd8feBtMOovEP8t/P6e4eMTogWQZEoIIdqyC3FQcAF6T2/8a4Y/X7Prb+vf4dTPhotNiBZCkikhhGjLjq8DjRX0nNT41ygK3P5xTdlvzYOQfcJw8QnRAkgyJYQQbZWq1rRE6DYabJ2a9lpr+5oF6VZ2sPI+KMkzTIxCtACSTAkhRFuVfhDyU5tW4ruakw/ct6KmTLh6HlRX6jc+IVoISaaEEKKtOrYONJbQa3Lzx/CNhNvehXO7YMsL+otNiBak2cfJCCGEaMGulPi6jgQ7F93GCru/5siZmA/AqzeEz9dHhEK0GDIzJYQQbVHGEbic0vwS3/XGvQzdx8Gm5+Hcbv2MKUQLIcmUEEK0Rcd/BMUCek3Vz3gaC7j7S3DtCt/Nhbxz+hlXiBZAkikhhGhrVLWmJUKX4WDvqr9xbZ1g5regauHb+6G8UH9jC2HGJJkSQoi2JisB8s7qr8R3NbduMONruHgSflhY02FdiFZOkikhhGhrjv8IikZ/Jb7rdRsFE/8NJzfBr/80zD2EMCOSTAkhRFuiqjUtEfyHQjsPw90nciH0mwd73oKzOw13HyHMgCRTQgjRlmQn/n97dx4vZVn3cfzzYxGQfRcBEdkMLRdwX3FBQEUqNBHKBXNJM59XPllZ1qvyebLM0rRME0VDrRAEVBI31CfAWCSVww4iIIvsHFnO9nv+uOZ05iDbOffM3LN836/Xec2Ze+5zzW94Dfd857qu+7ph4+L0DPElM4OB90KrbjDxVthdnN7nE4mRwpSISCEpmgAYHH1p+p+rfiO47GHYshJe/1n6n08kJgpTIiKFpOgF6HIGNG2fmefrcloY8vvXn2DFtMw8p0iGKUyJiBSK9Qvg0wXpH+Lb0wU/gRZdYMItULIjs88tkgEKUyIihWL+xHD7hQwM8SU7pDEM/n1YjuHNezL73CIZoDAlIlIoiiZA51OhWYfMP/dR50Cfa2HGH2DlzMw/v0gaKUyJiBSCDUvCYp3HDImvhgt/Bk0PD8N9pbviq0MkxRSmREQKQdEL4TbTQ3zJGjaDwQ/AhoXw1r3x1SGSYgpTIiKFoGgCdDoJmneKt47uF8DxI+CfD8An78Vbi0iKKEyJiOS7Tctg7fvQO8YhvmQX3QON28ILt0BZSdzViESmMCUiku+KJoTb3oPjraNSoxZw6e9g/Tx45zdxV5Nf3GHqvfDkJbBzc9zVVNm1FUYPhjd+EWrMMwpTIiL5rmgCHH4itDgi7kqq9BoIX7wC3rkP1n4YdzX5obwMJt0GU/8HPnoHxl4XtsWtohzGjoTlb8Hbvw4nIGRDXSmkMCUiks82rwhzkzK9UOfBGHgvNGoJE74F5aVxV5PbSnfC36+GOU/B2f8Nlz4IS9+AV38cd2Xw2k9gyatw8f1wzvdh7hj46/C8WsC1XtwFiIhIGv1niC8Lw9ShreDi38DfvgHTHoSzvht3Rblp5xZ4dhh8PB0G/gpOuTFsX18U1vVq1xtO/Ho8tc19Bqb9Hk66Hk4aGbY1aQsv3QFPD4Fhz4X3QY5Tz5SISD4rmgAdjoNWXeOuZO96XxYmxk/9ZbjcjdTMtjXwxCBYNROGPl4VpAD63wNH9YMX/wtWTM98bSv/BZO+A0eeBQN+WbX9pOvh8idDj+kTA2Hr6szXlmIKUyIi+WrLSlg9Kzt7pZINug8OaRLm0lSUx11N7tiwBB7vD1tWwPC/w7Ffrf543Xpw+RNhrtxfR8CWjzNX29ZV8NxwaNYRrngK6tav/vgxQ2DE8yFIPd4fPl2YudrSQGFKRCRfVV6LL1uWRNiXJm1h0K9D8Jvxh7iryQ2rZ8Oo/lC6A66eBN367X2/Ri3DUFp5KTx7FewuTn9tJTvguavCPK79DeN1PRuufQnKS2DURbBqVvprSxOFKRGRfFU0Adp/EVp3i7uSAzv2q9BrUDh1fsOSuKvJbkvfgCcvDReQHjkFOp64//3b9oSho8JSFC/cBBUV6avNPZxQsOb9MOzY7uj979/hOBj5CjRsDqMvhcWvpq+2NFKYEhHJR9s+gZXvZv8QXyUzuOS3UK8BTLw1vR/4ueyDsTDmijAHbuSrBx+Ue1wAF/4c5k+Ct3554P1r6+37YN54uOCn0POig/ubVkclXkt3ePZK+Pdf01dfmihMiYjko6LKIb4cCVMATQ8LE5U/ng4zH4u7muwz4xF4fiR0PhmufTn8e9XEabfA8cPDdRHnjU99ffMnwZu/gC9dCWd8p2Z/26QdXPMSHHEajL8Bpj2U+vrSSGFKRCQfFU0Ip8S37Rl3JTVz3DDofiG89lPYtDzuarKDO7z+M/jHnXD0JTBiXBgWq6nK3r/Op8D4m+GTuamrce2HMO5G6NgXLn0gPFdNNWwGw8eGLwBT7oIpP86Z1dIVpgqJezhzYumb8O6j4T/n4tegbHfclYlIKm1fG3p3cqlXqpJZuNSM1YWJ386ZD9O0KS8L/w7v/Ab6XBPOjKvfsPbt1WsAX/sLHNo6TBLfvi56jcWfhnWuGjaHK8dEq69+Qxj6BPQdGdYeeyE3FnTVop35qHQnbFwKGxbBxiXhdsOiMKmz9LOkHQ34TTglufv5YfJnj/55sYCaSEGbPwnw3AxTAM07wUW/CGsUzX4C+l4Xd0XxKN0ZLgmz8GU4+3vQ74e16/HZU5N2MOwZGDUgLJlwzYshZNVGWUlYdPWz9XDt5JoPPe5NnbphMdcm7cOlcXZsDOtSHXJo9LbTRGEqV7nDZ58mBaXFVbdbPgaSvs01PwLa9IATTw+3bXpAm57hW8Tyd8J/1IWTw7CA1Qlj1r0GhnCVC2cBiUh1RROgTS9o94W4K6m9E6+GD8fBlLvDsF+LznFXlFk7NydWNZ8R1uE6+Zupbb/DcTDkj+ESNJNuhyF/qHlQc4eXvwsfTwtnCx7orMKaMINz74TGbeCl78JTl8FVf83aL/sKU7lkzfswaxSs/SCEpt1bqx6r1wjadIdOfeH4q6oCU6tu+0/zPfuHn4vvhzVzQ6haOBmm/Cj8tOlZFaw6nRS+MYgUIndYNy/8/yjfHYZcmneKu6rPK14PK/4JZ90RdyXRmMHgB+EPp4ceqhHPp6ZXJhdsWwN/+Uo4zg8dBcd+JT3Pc8wQWP/9cHZf+95w+rdr9vfv/ilcC/CsOz6/YGiqnDQyBKrnrw+rpY8YB807pue5IlCYynbuYU2RaQ/CsqlQvzF06gNfHBqCTmVoatYR6kSYAlenTvhW0fFEOO+u0Lu18B+h12r6w/DPB8IYe88BIVwd1Q8aNEnZyxTJSmUlIZhUfsnYmlhB2urA//0WjvkKnH5r+JafLRa8CF6Ru0N8yVoeGU6xn/zf4eK4J4yIuaAM2LAYnv4K7NwEI8bCUeem9/nOuTNcw+/Vu6Ht0dDjwoP7u6VvwCs/gF4XQ7+70ltj78ugUaswx+vx/vD1cdC2V3qfs4bMMzi5r2/fvj5rVu6ucJpRZSXw4fPhApHr50GTw+DUm8K34UYtM1vLrq2w5PXwYbL4lXC/bgM46pwQrHoOhGYdMluTSA1NnTqVc88998A77twcTsxY+DIseQ12bws9v936hfd7j4tCz9SMR2DOaCgphq7nwBm3Qbfz4+89GT04XMrj27PjryUVKipg9CXhbLFb3s3vY83q2TDm8hDWh4+Fw4/PzPOWfBZWIN+8Aq5/7cBBZcMS+PN54Uv8yCnQoGlm6lzzPvzlq1BRClf9HTqflJJm93dsMLPZ7t73QG0oTGWbXVth9pPhQL39E2j7hdD1+sWhtZ8gmErlpeEsoYWTYcFL4ZpQAIefEIYCew2E9sfmx0Fc8sp+w9Sm5bAo0RO7YhpUlEHjtome2EGhd2Bvw+U7t4QJ0jMegeK10O6Y0FN17FCod0gaX80+fLYB7usJZ94O59+d+edPl41L4Y9nhCB1xGmhR7515VSGrp+/7lsuKdsNH70Tjqlznw1DWl8fn/n5qltWwmP9QjC6/vV9z03auQX+fEHoOfvmG6H3MJM2LYenvwzF68KZg93Oi9ykwlQ+2boKZvwRZo+Gku3hmkWn3wbdL8jeYOIOny4IH0ALXg7fqnBo3jkxz2ogdDkzng8VkT1UO2BWVMAnc6pOvlhfFLa3/ULVHMGOfQ5+6LysBD4cm+hJLoKmHeCUyp7kFul4OXs3ezRMug1ufDu7hh5ToWgi/OvRMAxWvLZqe5160LJrYtpD98RtYgpEpnvxD9aOTbB4SqL38/XQu1n/0DDENvBXqTkjrjY+ngFPXgJHngHDnw8XSk5WUQ7PXBGmnHxjAhx5ZixlUrwext8Y/q3a9IjcnMJUPljzfjgAzxsXwskxXw49UZnq3k2l7evCMODCyWEtq7Kd0KBZCIS9BoXLGWTrwU3y3tuvv8LZnSoSAeof4VRuqwtdTk/0qg4Il7WIwj18OE57EJa/BYc0hT5Xh2CVibPRnv4ybFoGt83N3i9hqbBraxhq2ri4+hnNG5eGIaBKjduGYNV6j5DV4ojMn0yzcWlVeP94epjX1uSwqvDe9exo6zOlynt/gQm3hPfswHurP/bKXTD9Ibjkd9D32njqS4NUhKlIE9DNbADwAFAX+LO7p/GCP3nEHZa+HkLUsqlhnaeTbwxzolocEXd1tde0PZz4jfBTsiN8mFR+cM0bl/oPLpG92b09rK+2cWnidglsWMwZ64qgoiS9Ad8stNnjgrC69PSHQo/zjD+Gs53SOVl9xyZY9lb4MpbPQQrCsi6d+oSfZOVlYepB5VIxGxeH3xe8GNYqqlS3QRhGa90tBK3W3cOwYevuYXgrFf9+FeWwamZVgNqwKGxvfyyc9d0QojqcEO3EoXQ4YQSsK4IZD4cV9PtcHba/Nya8n0++Ia+CVKrUumfKzOoCi4ALgVXATGCYuxft628Kvmdqn5PKr83sUECmpXpIRaSsJHxoJoJStfCUPASEhS8orbuzcndjOve7Drqckdmh5y0rQ5hKnqx++m1hodxUhp7KHoVvvpna9X7yxY5NSevxLaoK2puWV+/Natgi0ZPVo3rYOtAyMwC7i2HZm+E4t+gfIcDVqReGw3oNCnPwWnZJ7+tMhfKyMJy3/G24emL4Ijz6kjBfbcS4zw//5bhYh/nM7DTgp+5+UeL+DwDc/X/39TdpD1O7i8OZN9mmvDRcVPLdR2D7mpD2T/92fJNU45Y82fejf4KXV5/s2+G4/P9mLQenvBQ2f5QUlhLBafOK8L6pdGibqg+9Nt2rfm/Z9T9DJwd9Nl+67NwSTi7Z8zjQ9ZzUvN8n3BKGvm5/X/9/aqK8LCx5sWFJVcCq/Nm2uvq+zTpVBaw2iZ6sZofDyndDgFr2VjjTs2HzcDWJXgNDL2htrqMXt+SJ5lY3LIWzv4npOSzuYb6OwMqk+6uAUyK0F92cp8K6F9mq6zkw+KHUfyPNNa26wqk3h5/k09CLJsB7T8ddnWSreo3Ch9dhXwpDZv8ZnumWG3PxGrUIZ9md+q2qHuoXbk7tc5x2a2EfW2qjbr0w5aDVUUD/6o+VfBbmoG1cUj1sfTg2zNtK1qJLWGCy18DQg5PLZxhCeL8Oey4sgeCl4ZIzeRikUiVKz9RQYIC7X5+4/3XgFHe/dY/9bgBuAGjfvn2f5557LlrF+9G4+COabVuUtvaj2N60O8VNNUdof6yilBZb5tFw1/q4S5Es4WbsatiOnY0OZ3eD1mH9nVoqLi6mSZMsWmjWnRZb3qfRzhRcaBZwq8OGNqdSVj+LXmO+cqd+6TYa7fyEhrvWUdzkKHYc2jkvg2yjHaswd3Y0zt/L+ezv2NCvX7+090ytBpL/dTsltlXj7o8Cj0IY5ou1m11ywEGuvitSQ7EP8+1Vv7gLECl4qTg2RJnxOxPoYWZdzewQ4EpgYqRqRERERHJMrXum3L3MzG4FXiEsjTDK3eelrDIRERGRHBDp/EZ3fxl4OUW1iIiIiOQcLewjIiIiEoHClIiIiEgEClMiIiIiEShMiYiIiESgMCUiIiISgcKUiIiISAQKUyIiIiIR1PrafLV6MrNPgRX7eLg5sHUfj9VEqtophLaysaZCaCsbayqEto4APk5BO5Cdry+VbWVjTYXQVjbWVAht7e/Y0MXd2x6wBXfPih/g0WxqpxDaysaaCqGtbKypENoCPs22mrK1rWysqRDaysaaCqGtVBwbsmmYb1KWtVMIbWVjTYXQVjbWVAhtbUlRO5Cdry+VbWVjTYXQVjbWVAhtRT42ZHSYT0QkLmY2y937xl2HiGSXVBwbsqlnSkQknR6NuwARyUqRjw3qmRIRERGJQD1TUmNm1tnM3jSzIjObZ2bfSWz/tZktMLP3zWy8mbWIu1ZJr/28F44zs+lm9oGZTTKzZnHXKplhZgPMbKGZLTGz7ye2mZndY2aLzGy+md0Wd52SfmY2yszWm9mHSdt+nviMmGtmU8zs8DhrTBX1TEmNmVkHoIO7zzGzpsBsYAjQCXjD3cvM7F4Ad78zxlIlzfbzXhgN3OHub5nZdUBXd/9xnLVK+plZXWARcCGwCpgJDANOAfoB17h7hZm1c/f18VUqmWBmZwPFwFPufmxiWzN335b4/Tagt7vfFGOZKaGeKakxd1/j7nMSv28H5gMd3X2Ku5cldptBCFeSx/b1XgB6Am8ndnsV+Go8FUqGnQwscfdl7l4CPAdcBtwM/MzdKwAUpAqDu78NbNpj27aku42BvOjRUZiSSMzsSOAE4N09HroOmJzpeiQ+e7wX5hE+RAEuBzrHU5VkWEdgZdL9VYlt3YCvmdksM5tsZj1iqU6yQmLIdyUwHLg77npSQWFKas3MmgDPA7cnf9sws7uAMmBMXLVJZu3lvXAd8C0zmw00BUrirE9i1wDYlTj9/DFgVMz1SIzc/S5370z4jLg17npSQWFKasXM6hM+PMe4+7ik7dcAlwDDXRPyCsLe3gvuvsDd+7t7H+BZYGmcNUrGrKZ6L2SnxLZVQOVxYjzwpQzXJdlpDHkyBUBhSmrMzAx4HJjv7vcnbR8AfA8Y7O474qpPMmc/74V2ids6wI+AR+KpUDJsJtDDzLqa2SHAlcBE4AXCBHSAcwiT1KUA7THEexmwIK5aUkln80mNmdmZwDvAB0BFYvMPgQcJ3fkbE9tm5MNZGrJv+3kv9ABuSdwfB/xAPZWFwcwGAb8D6gKj3P2exDIpYwgXlC0GbnL3f8dYpmSAmT0LnAu0AdYBPwEGAb0Ix4sVhPfC6rhqTBWFKREREZEINMwnIiIiEoHClIiIiEgEClMiIiIiEShMiYiIiESgMCUiIiISgcKUiIiISAQKUyIiIiIRKEyJiIiIRKAwJSIiIhKBwpSIiIhIBApTIiIiIhEoTImIiIhEoDAlIiIiEoHClIiIiEgEClMiIiIiEShMiYiIiESgMCUiecnMig/w+FQz65upekQkfylMiYiIiESgMCUiecvMzjWzF5PuP2Rm18RYkojkIYUpERERkQgUpkREREQiUJgSkXxWRvXjXMO4ChGR/KUwJSL5bAXQ28wamFkL4Py4CxKR/FMv7gJERFLNzOoBu919pZn9DfgQWA68F29lIpKPzN3jrkFEJKXM7DjgMXc/Oe5aRCT/aZhPRPKKmd0EPAv8KO5aRKQwqGdKREREJAL1TIlITjKzzmb2ppkVmdk8M/tOYnsrM3vVzBYnblsmth9tZtPNbLeZ3bFHWx+Z2QdmNtfMZsXxekQkd6lnSkRykpl1ADq4+xwzawrMBoYA1wCb3P2XZvZ9oKW732lm7YAuiX02u/t9SW19BPR19w2Zfh0ikvvUMyUiOcnd17j7nMTv24H5QEfgMmB0YrfRhPCEu69395lAaQzlikgeU5gSkZxnZkcCJwDvAu3dfU3iobVA+4NowoEpZjbbzG5IS5Eikre0zpSI5DQzawI8D9zu7tvM7D+Pubub2cHMZTjT3VcnhgJfNbMF7v52mkoWkTyjnikRyVlmVp8QpMa4+7jE5nWJ+VSV86rWH6gdd1+duF0PjAe0PpWIHDSFKRHJSRa6oB4H5rv7/UkPTQSuTvx+NTDhAO00Tkxgx8waA/0JK6aLiBwUnc0nIjnJzM4E3gE+ACoSm39ImDf1N+AIwrX5rnD3TWZ2GDALaJbYvxjoDbQh9EZBmPrwjLvfk6nXISK5T2FKREREJAIN84mIiIhEoDAlIiIiEoHClIiIiEgEClMiIiIiEShMiYiIiESgMCUiWcvM2pvZM2a2LHGpl+lm9mUzO9fM3MyuT9r3+MS2O8zsYTOba2ZFZrYz8ftcMxsa5+sRkfyky8mISFZKLMr5AjDa3a9KbOsCDAY2ExbWvAL4c+JPhgH/BnD3WxL7Hwm86O7HZ7J2ESks6pkSkWx1HlDi7o9UbnD3Fe7++8TdFUDDRO+VAQOAyTHUKSIFTj1TIpKtjgHmHGCfscDlwHuJfXenuygRkT2pZ0pEckJiHtS/zWxm0ua/EcLUMODZeCoTkUKnMCUi2WoecGLlncQ8qPOBtknb1gKlwIXA65kuUEQEFKZEJHu9QZgTdXPStkP3st/dwJ3uXp6ZskREqtOcKRHJSu7uZjYE+K2ZfQ/4FPgMuHOP/abFUZ+ISCVz97hrEBEREclZGuYTERERiUBhSkRERCQChSkRERGRCBSmRERERCJQmBIRERGJQGFKREREJAKFKREREZEIFKZEREREIvh/b/MWhoYLAHEAAAAASUVORK5CYII=" }, "execution_count": 13, "metadata": { }, "output_type": "execute_result" } ], "source": [ "junejuly = summer.ix[datetime(2015,6,17) : datetime(2015,7,14)]\n", "ax=junejuly[['Mean TemperatureC', 'Precipitationmm']].plot(grid=True, figsize=(10,5))\n", "myLabels = ['Mean Temperature ($^\\circ$C)', 'Precipitation (mm)']\n", "ax.legend(labels=myLabels)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Average (mean) temperature over this period is about 16.3 ℃.\n" ] } ], "source": [ "print(\"Average (mean) temperature over this period is about {0:.1f}\" .format(junejuly['Mean TemperatureC'].mean()) + \" \" + u'\\u2103.')" ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "The two weeks at the end of June and beginning ofJuly look like the best bet overall, with very little rain (9 totally dry days and only 1 day with significant rainfall (~5 mm on 5th July). Temperatures are also the best of the summer, with an average (mean) temperature of about 16 °C (see calculation above) and five days where the temperatures are between 18 °C and 22 °C." ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "## Conclusions\n", "\n", "The graphs have shown the volatility of a British summer, but a couple of weeks were found when the weather wasn't too bad in Chester in 2015. Of course this is no guarantee that the weather pattern will repeat itself in future years. To make a sensible prediction we would need to analyse the summers for many more years." ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "Top of page" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Pandas version 0.22.0" ] }, { "data": { "text/html": [ "\n", "

Click here to toggle code visibility on/off

\n", "" ] }, "execution_count": 15, "metadata": { }, "output_type": "execute_result" } ], "source": [ "print(\"\\nPandas version\", pandas.__version__, end=\"\")\n", "from IPython.display import HTML\n", "HTML('''\n", "

Click here to toggle code visibility on/off

\n", "''')" ] }, { "cell_type": "markdown", "metadata": { "collapsed": false }, "source": [ "
© 2016 Phipps E&OE.
" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (Ubuntu Linux)", "language": "python", "metadata": { "cocalc": { "description": "Python 3 programming language", "priority": 100, "url": "https://www.python.org/" } }, "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": "3.6.8" } }, "nbformat": 4, "nbformat_minor": 0 }