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| { | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { | |
| "metadata": {}, | |
| "cell_type": "markdown", | |
| "source": "# Representative monthly means\n\n## Given\n1. A folder with 1020 TMY3 weather files, each containing a one year worth of represenative climate for regions all over the USA. \n `csv_files = glob.glob('*.csv')` \n Source: http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/tmy3/\n2. A single weather file for a location outside the US. \n `my_location_file = 'TRY2035_13_Jahr_00006K2_00409m.dat'` \n Source: [http://www.bbsr-energieeinsparung.de/](http://www.bbsr-energieeinsparung.de/EnEVPortal/DE/Regelungen/Testreferenzjahre/Testreferenzjahre/01_start.html?nn=739044¬First=true&docId=743442)\n\n## Needed\n\n*Which location in the USA is the closest proxy for the given (2.) weather file?*\n\n## Method\n\nSelect the location with the most similar climate diagram. Most similar here means a least squares fit for the monthly mean temperature and monthly mean solar global horizontal irradiation (GHI)." | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "import datetime\nimport glob\nimport matplotlib.pyplot as plt\nimport os\nimport pandas as pd\n%matplotlib inline", | |
| "prompt_number": 3, | |
| "outputs": [], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "csv_files = glob.glob('*.csv')\nmy_location_file = 'TRY2035_13_Jahr_00006K2_00409m.dat'", | |
| "prompt_number": 4, | |
| "outputs": [], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "# color helper functions\ndef to_rgb(r, g, b):\n \"\"\" convert RGB (0-255) to rgb (0-1) color \"\"\"\n return tuple(x/255.0 for x in (r,g,b))\n\ndef blend(color1, color2, fraction = .5): \n \"\"\" blend between two colors \"\"\"\n return tuple((1-fraction) * a + fraction * b \n for a,b in zip(color1, color2))", | |
| "prompt_number": 5, | |
| "outputs": [], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "# TUM main colors\ntumblue = to_rgb(0, 101, 189)\ntumblack = to_rgb(0, 0, 0)\ntumwhite = to_rgb(255, 255, 255)\n\n# TUM blue tones\ntumdarkerblue = to_rgb(0, 51, 89)\ntumdarkblue = to_rgb(0, 82, 147)\ntummidblue = to_rgb(0, 115, 207)\ntumlightblue = to_rgb(0, 160, 200)\ntumlighterblue = to_rgb(0, 198, 234)\n\n# TUM grey tones\ntumdarkergrey = to_rgb(44, 44, 45)\ntumdarkgrey = to_rgb(88, 88, 90)\ntumgrey = to_rgb(156, 157, 159)\ntumlightgrey = to_rgb(217, 218, 219)\ntumlightergrey = to_rgb(235, 236, 237)\n\n# TUM accent colors\ntumorange = to_rgb(227,114,34)\ntumgreen = to_rgb(162,173,0)\ntumivory = to_rgb(218,215,203)", | |
| "prompt_number": 6, | |
| "outputs": [], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "heading", | |
| "source": "My location", | |
| "level": 1 | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "def get_tmy2_stats(filename):\n \"\"\" Calculate monthly stats for tmy2 dat file.\n \n Given a \n \"\"\"\n dat = pd.read_table(my_location_file, \n sep='\\s+', \n skiprows=(range(38) + [39]))\n dat.index = pd.date_range('2000-01-01', periods=8760, freq='H')\n\n temps = dat['t'].resample('M', how='mean')\n rad = (dat['B'] + dat['D']).resample('M', how='mean')\n \n monthly = pd.concat([temps, rad], axis=1)\n monthly.columns = (['temp', 'rad'])\n monthly.index = [datetime.datetime(2000,i,1).strftime(\"%b\") for i in range(1, 13)]\n return monthly", | |
| "prompt_number": 7, | |
| "outputs": [], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "# plot monthly weather data for my loaction\nmy_weather = get_tmy2_stats(my_location_file)\nmy_weather.plot(kind='bar', subplots=True, layout=(1,2), figsize=(10,3), legend=False)", | |
| "prompt_number": 8, | |
| "outputs": [ | |
| { | |
| "text": "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000000000B94BCC0>,\n <matplotlib.axes._subplots.AxesSubplot object at 0x000000000BAE96D8>]], dtype=object)", | |
| "output_type": "pyout", | |
| "metadata": {}, | |
| "prompt_number": 8 | |
| }, | |
| { | |
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sR0sXzmLujJFSc4c5s93cYdDoTt/dZmb7AVcCF7r7cjP7rbvvl//sRLIrTN8Djnf3Rfnz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\nqBwW4QAAAABJRU5ErkJggg==\n", | |
| "text": "<matplotlib.figure.Figure at 0xb94bda0>", | |
| "output_type": "display_data", | |
| "metadata": {} | |
| } | |
| ], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "heading", | |
| "source": "USA locations", | |
| "level": 1 | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "def get_tmy3_stats(filename):\n \"\"\"Extract monthly weather statistics from TMY3 csv file\n \n Reads monthly and returns\n - temp: dry-bulb temperature (°C), mean\n - rad: global horizontal irradiation [GHI] (W/m^2), mean\n - prec: precipitation depth (mm), sum\n\n Args:\n filename: TMY3 csv filename, as available here\n http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/tmy3/\n \n Returns:\n DataFrame with monthly weather stats\n \n \"\"\"\n csv = pd.read_csv(filename, parse_dates=True, engine='c', skiprows=1)\n csv = csv.reindex_axis(['GHI (W/m^2)', 'Lprecip depth (mm)', 'Dry-bulb (C)'], axis=1)\n csv.columns = ['rad', 'prec', 'temp']\n csv.index = pd.date_range('2000-01-01', periods=8760, freq='H')\n \n temps = csv['temp'].resample('M', how='mean')\n rad = csv['rad'].resample('M', how='mean')\n prec = csv['prec'].resample('M', how='sum')\n \n monthly = pd.concat([temps, rad, prec], axis=1)\n monthly.index = [datetime.datetime(2000,i,1).strftime(\"%b\") for i in range(1, 13)]\n \n return monthly", | |
| "prompt_number": 9, | |
| "outputs": [], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "# extract monthly stats for all locations\nweather_stats_filename = 'weather_stats.pickle'\nif not os.path.exists(weather_stats_filename):\n # poor man's cache: only calculate monthly stats if not calculated already\n monthlies = {os.path.splitext(fn)[0]: get_tmy3_stats(fn) for fn in csv_files}\n \n # concatenate all stations\n # remove 'TYA' from USAF station number\n # and name the index appropriately\n # finally save to pickle file\n weather_stats = pd.concat(monthlies).unstack()\n weather_stats.index = weather_stats.reset_index()['index'].str[:-3]\n weather_stats.index.name = 'USAF'\n weather_stats.to_pickle(weather_stats_filename)\nelse:\n # if monthly stats are already present, just load them\n weather_stats = pd.read_pickle(weather_stats_filename)", | |
| "prompt_number": 10, | |
| "outputs": [], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "# plot two random locations for reference\nfor name, monthly in weather_stats.ix[600:602, ['temp', 'rad']].iterrows():\n monthly.unstack().T.plot(kind='bar', title=name, subplots=True, layout=(1,2), figsize=(10,3), legend=False)", | |
| "prompt_number": 11, | |
| "outputs": [ | |
| { | |
| "png": 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IcJa7H2lm+wPfAe7LHj7f3T13S0REWmRm2wIXA3sAs4EzgXuAS4AtwN3AEndPzOx44ATg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\n/iMr7nkAYOtFsGa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| |
| "text": "<matplotlib.figure.Figure at 0xb9128d0>", | |
| "output_type": "display_data", | |
| "metadata": {} | |
| }, | |
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| |
| "text": "<matplotlib.figure.Figure at 0xb94b630>", | |
| "output_type": "display_data", | |
| "metadata": {} | |
| } | |
| ], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "heading", | |
| "source": "Minimize squared difference", | |
| "level": 1 | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "def least_squares_fit(temperature_weight = 500):\n minimal_name = None\n minimal_monthly = None\n minimal_value = float('inf')\n\n for name, monthly in weather_stats.iterrows():\n dif = my_weather - monthly.unstack().T\n dif = dif.drop('prec', axis=1) # remove NaN's for precipitation\n dif = (dif**2).sum()\n dif = dif.rad + dif.temp * temperature_weight # arbitrary scaling for \"equal\" weights\n\n if dif < minimal_value:\n minimal_value = dif\n minimal_name = name\n minimal_monthly = monthly.unstack().T\n\n return minimal_name, minimal_monthly, minimal_value", | |
| "prompt_number": 12, | |
| "outputs": [], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "val_over_weight = []\nfor weight in [1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000, 5000, 10000]:\n name, monthly, val = least_squares_fit(weight)\n val_over_weight.append((weight, val, name))\n if weight in [1, 1000, 10000]:\n dif = (my_weather - monthly).drop('prec', axis=1)\n dif.plot(kind='bar', title='Weight %s, best station: %s'%(weight, name), \n subplots=True, layout=(1,2), figsize=(10,3), legend=False)", | |
| "prompt_number": 13, | |
| "outputs": [ | |
| { | |
| "png": 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Vp9TS7e9hxSx/zDIrfUdKREREpKxK35HS/G2xUqrPlMqaAtWn1NLt72HFLH/M\nMit9R0pERESkrErfkdL8bbFSqs+UypoC1afU0u3vYcUsf8wy0zpSItL1zKwX+AHZPUMnAB9x95s7\nWyoRSUHpR6Q0f1uslOozpbKmQPU5oiOBq919DjAP+FZHSzPGuv09rJjlj1lmGpESEYGvA0/nPz8f\neLKDZRGRhJR+RErzt8VKqT5TKmsKVJ8ZMzvIzPqrH8Am7v6UmU0Dvg8c0+Fijqlufw8rZvljlplG\npESkq7j7QmDh0P1mtiVwHvBRd79xtDjVN2bt6+ujd93pdZdh4D+a6ucPtz1j+uZ1x6xUKsCUhuIP\nbPf39zd0fL3bjZ5vp7bbcf79/f2qzyafn13L9asnfiPvz0qlQl/fnYOeP3HixJrHhxhjQwUuwqJF\ni+KsWbPG/O8WZcn9y/j4z+4a9bgTd9+EmdN7OhZTiqfXvnmLFy9m7ty5odPlGI6ZbQH8GHi7u/eP\ndvxwbdjSux/Cz7x19L81fxtmbDylrnLVG7PRuCJl1o7rvtWYI7VfGpESEYHjyb6t9w0zA3jE3ffp\nbJGgd/I62Pxt6j5WRMaecqS6TEr1mVJZU6D6rM3d93b3jd195/zR8U4UQO/kiczYeMqgx9L771xt\n34yNp9A7ufbUw2i6/T2smOWPWWYNj0jVWm/FzLYHTgaeBX7u7p8rtKQi49TUngmcuPsmg/ZVKhV6\ne3tXO05ERMqlmRGpWuutnAa8y91nA9uZ2dZFFFBrXBQrpfpMqaytmNazFjOn9wx67Lj5Bqvtm9az\nVkt/p1vqc7xL6XVMpayKWf6YZdZMjtRq662YWQ8wwd3vyfdfBewK3N56EUVERETKacQRqQbWW+kF\nHq166rJ8X8s0f1uslOozpbIWLZVzT6U+x5OUXsdUyqqY5Y9ZZiOOSNW73oqZTSLLmRowCXhkpNhD\n12CBdNa4CE88widf/6KVOSyVSoXHH3+c6dOnr9yGVTkt9cRfMWWjkaprkE6vEdLta9DUo1KpQL5U\ngdagybZHWodFRCRVDa8jVWu9FTO7DXgbcA9wGXCcuw+7aEPq60i1Q7esJZQ6vU7NK/M6Uo0aq3Wk\nRLpRN6wjVWu9lUOAc4E1gatqdaJEREREaklt/bSGv7VXa70Vd7/F3V/n7tu6+6eKKmAq87epzAmn\ndO4plbVoqZx7KvU5nqT0OqZSVsUsV8yxWj+tKFrZXKQBWvNJRCQ9tUa5hmu/Gx3l0r32SkK5NzLe\nKUcqoxyRiiZAAAAQcElEQVQpkfToXnsiIiMws3WBHwIvBJYDB7j7/Z0tlYikQPfaK3HMdkjp3FMp\nq2KOC/OBW919J7JbYC3ocHlqSul1TKWsitmdMYuKW/qOlIhIu7n7KWTfSAbYEHi4g8URkYQoR6ok\nlCMl411ZcqTM7CDgiCG757n7b81sEfAqYDd3X1IrhnKkRLqLcqRERHK17tiQ/26umW0GXA5sMtwx\nA4benaF33el1l6HTq/NrW9vabmx7pDszlH5EqrqxKkoZY47ViFQZz30s4ypm52KWZURqOGZ2DHCf\nu3/fzDYArnH3V9Y6vpMjUp1+HTsdVzEVsxNxNSIlIjKyhcA5ZvZ+srszHNjh8ohIIko/ItUtlCMl\n412ZR6QapRwpke4yUvulb+2JiIiINKn0HalU1qNIZT2dlM49lbIqpoyllF7HVMqqmN0Zs6i4pe9I\niYiIiJSVcqRKQjlSMt4pRyqjHCmR9ChHSkRERKQNGu5Imdm6ZnaJmV1vZleb2fR8//ZmdrOZ9ZnZ\np4sqYCpzrankiqR07qmUVTFlLKX0OqZSVsXszphFxW1mRKrWzT1PA97l7rOB7cxs65ZLJyIiIlJi\nTeVImdka7r4iH3kKwNeAW9x9i/z3HwYmuPtXh3u+cqRWpxwpGe+UI5VRjpRIeppe2bzem3sCvcCj\nVccsAzZuvsgiIiIi5Tfi1J67L3T3LYc8fpv/bi6wI/AjoAJUD5NMAh4pooCpzLWmkiuS0rmnUlbF\nlLGU0uuYSlkVsztjFhW3mWTzY8zsvfnm48Cz7r4MWG5mG5tZIBulumGkONWF7+vrG9Pt/v7+wuP3\n9/e39PxKpUK9xrq+OlGfKW2X8Xoq87aIyHjScI6Umb0YOAdYm+zmnke5+6/MbDvg5HzfVe7+qVox\nlCO1OuVIyXiXQo6Umb0SuBl4sbsvr3WccqREukvTOVLDcfd/AG8eZv8twOsaL56ISOeZ2STgJOCp\nTpdFRNJR+gU5U5lrTWXqIqVzT6Wsipm+PCXhdOAY4MkOF2dEKb2OqZRVMbszZlFxGx6REhFJWY1v\nI/8NON/d7zAzyJZ1EREZle61VxLKkZLxrsw5Umb2Z+C+fHN7snXx5tQ6ftGiRfGJJ55g9uzZQPap\n9sXrb8DaE7L35sCXR3p7e1fb7p28Dv3/txhg0PO1rW1tl3d74sSJNdsvdaRKQh0pGe/K3JGqZmb3\nAJs1mmwuIuNX0jctTmWuNZVckZTOPZWyKua4U9iny1TqXO9hxezGmEXFVY6UiEgVd9ddGUSkbpra\nKwlN7cl4l8rUXj3Uhol0l6Sn9kRERETKqvQdqVTmWlPJFUnp3FMpq2JKLanUud7DitmNMYuKW/qO\nlIiIiEhZKUeqJJQjJeOdcqREJFXKkRIRERFpg9J3pFKZa00lVySlc0+lrIoptaRS53oPK2Y3xiwq\nbuk7UiIiIiJlpRypklCOlIx3ypESkVQpR0pERESkDZruSJnZK83sETObkG9vb2Y3m1mfmX26qAKm\nMteaSq5ISueeSlkVM31mFszs72Z2bf44voi4qdS53sOK2Y0xi4rb1L32zGwScBLwVNXuU4F93f0e\nM7vczLZ299tbLqGISPv9B/Bbd9+z0wURkbQ0nCNlZgH4IfAl4BJgM2Bt4GZ33yI/5sPABHf/6nAx\nlF+wugeWPc2Dy5aPetzUnglM61lrDEokUqwy50iZ2TuABUAFeBI40t3/VOt4tWEi3WWk9mvEESkz\nOwg4YsjuvwHnu/sdZgYQgEnAo1XHLAN0B/UGTOtZSx0kkTFQo137EHC8u//IzF4P/ADYdswLJyLJ\nGTFHyt0XuvuW1Q+yEaiDzOxaYBpwFdmnuOqvkk0CHimigKnMtSpm8VIpq2KmpUa79hvgp/nvbwKm\nF/G3UqlzvYcVsxtjFhW3peUPzOweYDN3X25mtwFvA+4BLgOOc/dbh3veokWLxn7NBRHpuBJP7X0J\n+Le7n2hmM4FT3X2HWserDRPpPk1N7dWhujE5BDgXWBO4qlYnaqTCiIh0yAnAD8xsd+BZYN5IB6sN\nE5EBHVmQU0RERGQ80IKcIiIiIk1SR0pERESkSepIiYiIiDSp1WRzKZiZ7e/uP+h0OcYLM9uJ7EsR\nIf/3GeBed7+vowUTGYfUfhVPbVj5la4jld9+5s1kq6UDRHf/Xosx1weOIVsDawlwgrsva6mgWdxd\n3P0XrcYZ4oNkiwEWxswuA84ELnX35wqKWdjrNHC/xuG4++jLvY/s88BLyNYJejVZI7S2mZ3h7l9p\nNqiZvQh4OfBnd3+4xTJiZm9198uqts3dvYC4JwPfcffftxqrKubawObufpuZ7Q1c7u7PFBU/dam0\nYWq/kmi/oIvbsFTar9J1pMhuO/N34N4CY54NXE72Bt8ROAfYt4C4nwWKbojWMrPbgT8CK8je4O9u\nMebHgfcDx5nZVcDCkW5/UaciX6c/MXgpjWovbzH2E8CW7v6Uma0F/Jjstb8BaKoRMrNDgI8BvwM2\nN7PPuvsPm4z1VuD1wLvNbAeyT51rAHsBLXekgD7gK/l/HGcBF7j7ky3GPJfs/XQb8Aqy91Or1+h4\nkkobpvar/O0XdHcblkT7VcaOVHD3/QuOOdHdT81/HuiFFiGa2cUMbjSObTHmUdR+UzbF3e8EPp5/\nqv0m0G9mNwCfdvdfNRm2sNfJ3TcqIk4NLwKezn9eDqzv7k/n94xs1qHAVu7+hJlNJGvQmmqEyEYX\n1ie7v9sf830rgPNaKN9K7n4RcJGZvQQ4OX+8sMWwL3X3s/L4J5rZdS3GG29SacPUfhVTvo2KiDOC\nrm3DUmm/ytiRusPMtifrLUZofnjUzNYj6x3/3czeAFwHvI7sE0QRzqLgRgP4PfAJYFOgH/hiqwHz\nRQYPALYAvg8cTr5wKrBVk2ELe52qynntkF3R3XdpJSZwMdBnZr8GtgEuMbNDyT6JNetB8oYtb4ia\nHhZ393uBs83sZ8BMd7/azA4D/tpC+VYysw2B9wH7Ab8lm85o1Qoz28zd/2hmm6AvrQyVShum9qv8\n7Rd0cRuWSvtVxo7UHGCPIfuaHR79UdXPx+aPIp1LdmE/n6yxK+L+XOeTDd2eDexA1nDs2WLM95Dd\n8uK66p1mdlwLMedQ3Os04ND83wDMIssHaIm7f97Mfgq8kmxK4Hd5bsBpLYR9CrjRzK4HXgtMMrNv\nkjWcH24y5g+BU/Kf/002hfPWFso44CJgIfBf7v7oaAfX6UjgAjObCtwPHFxQ3PFiDmm0YWq/Bitd\n+wVd34Yl0X51zcrmZtYLbAT8xd0fKyjmZWSd0Q3IerWLWx0uNrPr3H1Ore0mYz6frMF8HnmD6e6F\nTB21k5ld6+47txjjM0N2RXf/XIsx57D6J/mQx76+yZi/rL63WxHnXhXrLcB/An9090sKiln4+0lG\nVnSdq/1qr6Lew93ehqXQfpVuRMrM9gIOIyvbGsB67t7s8O1AzP3IhpufB1xoZivc/QstFzabq97e\nzM4EPkwx31a5Lb9wrga2Ax7Ih/dx9383GfMnDGkwaXH+uh3D2GZW/cngJcC6rcTLPciqrw6/hmKm\noRYDC8g+wV8K9Lv7XS3GfMb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| |
| "text": "<matplotlib.figure.Figure at 0x39c2fd0>", | |
| "output_type": "display_data", | |
| "metadata": {} | |
| }, | |
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LXXtm9iFgC3c/xcymA7cB9wAnu/t1ZnYWsNjdL6n3+vF07fX19TFv3rxxl1GZ6WQuWznI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\ne2Z2EHDkiMUHuPs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| |
| "text": "<matplotlib.figure.Figure at 0xd58a390>", | |
| "output_type": "display_data", | |
| "metadata": {} | |
| }, | |
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| |
| "text": "<matplotlib.figure.Figure at 0xb95d2b0>", | |
| "output_type": "display_data", | |
| "metadata": {} | |
| } | |
| ], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "def get_station_meta(number):\n first_row = pd.read_csv(number+'TYA.CSV', nrows=1, \n names=['USAF', 'Location', 'State', 'TZ', 'Lat', 'Lon', 'Elev'])\n first_row = first_row.set_index('USAF')\n return first_row\n\nbest_usafs = set(usaf for _,_,usaf in val_over_weight)\nbest_stations = pd.concat(get_station_meta(best_usaf) for best_usaf in best_usafs)\nbest_stations", | |
| "prompt_number": 68, | |
| "outputs": [ | |
| { | |
| "text": " Location State TZ Lat Lon Elev\nUSAF \n727920 OLYMPIA AIRPORT WA -8 46.967 -122.90 63\n725046 GROTON NEW LONDON AP CT -5 41.333 -72.05 3\n726884 LA GRANDE MUNI AP OR -8 45.283 -118.00 827", | |
| "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Location</th>\n <th>State</th>\n <th>TZ</th>\n <th>Lat</th>\n <th>Lon</th>\n <th>Elev</th>\n </tr>\n <tr>\n <th>USAF</th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n <th></th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>727920</th>\n <td> OLYMPIA AIRPORT</td>\n <td> WA</td>\n <td>-8</td>\n <td> 46.967</td>\n <td>-122.90</td>\n <td> 63</td>\n </tr>\n <tr>\n <th>725046</th>\n <td> GROTON NEW LONDON AP</td>\n <td> CT</td>\n <td>-5</td>\n <td> 41.333</td>\n <td> -72.05</td>\n <td> 3</td>\n </tr>\n <tr>\n <th>726884</th>\n <td> LA GRANDE MUNI AP</td>\n <td> OR</td>\n <td>-8</td>\n <td> 45.283</td>\n <td>-118.00</td>\n <td> 827</td>\n </tr>\n </tbody>\n</table>\n</div>", | |
| "output_type": "pyout", | |
| "metadata": {}, | |
| "prompt_number": 68 | |
| } | |
| ], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "# weights_per_station\n# unused for now, but could become a bar chart with value ranges weight and station labels inside like:\n# +-----------+------------------------+-----------+\n# | Station A | Station B | Station C |\n# +-----------+------------------------+-----------+\n# 1 200 500 1000 2000 10000\n\nweights_per_station = {}\nfor weight, _, station in val_over_weight:\n weights_per_station.setdefault(station, []).append(weight)\nweights_per_station", | |
| "prompt_number": 15, | |
| "outputs": [ | |
| { | |
| "text": "{'725046': [500, 1000],\n '726884': [2000, 5000, 10000],\n '727920': [1, 2, 5, 10, 20, 50, 100, 200]}", | |
| "output_type": "pyout", | |
| "metadata": {}, | |
| "prompt_number": 15 | |
| } | |
| ], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "for _, station in best_stations.iterrows():\n print(station.Lat, station.Lon)", | |
| "prompt_number": 16, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": "(46.967, -122.9)\n(41.333, -72.05)\n(45.283, -118.0)\n", | |
| "stream": "stdout" | |
| } | |
| ], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "heading", | |
| "source": "Mapping", | |
| "level": 1 | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "from mpl_toolkits.basemap import Basemap", | |
| "prompt_number": 17, | |
| "outputs": [], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "heading", | |
| "source": "Prepare data", | |
| "level": 2 | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "# the right stations\nmapped_stations = best_stations.reset_index()[['Lat', 'Lon', 'Location']]\nmapped_stations.Location = mapped_stations.Location.str.title().str.replace('Ap', 'AP')\n#mapped_stations = mapped_stations.append({'Lat': 48.166666666667, 'Lon': 12.183333333333, 'Location': 'Haag i OB'}, ignore_index=True)\nmapped_stations", | |
| "prompt_number": 30, | |
| "outputs": [ | |
| { | |
| "text": " Lat Lon Location\n0 46.967 -122.90 Olympia Airport\n1 41.333 -72.05 Groton New London AP\n2 45.283 -118.00 La Grande Muni AP", | |
| "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Lat</th>\n <th>Lon</th>\n <th>Location</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td> 46.967</td>\n <td>-122.90</td>\n <td> Olympia Airport</td>\n </tr>\n <tr>\n <th>1</th>\n <td> 41.333</td>\n <td> -72.05</td>\n <td> Groton New London AP</td>\n </tr>\n <tr>\n <th>2</th>\n <td> 45.283</td>\n <td>-118.00</td>\n <td> La Grande Muni AP</td>\n </tr>\n </tbody>\n</table>\n</div>", | |
| "output_type": "pyout", | |
| "metadata": {}, | |
| "prompt_number": 30 | |
| } | |
| ], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "# all other stations\nall_stations = pd.concat(get_station_meta(usaf) for usaf in weather_stats.index)", | |
| "prompt_number": 70, | |
| "outputs": [], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "# prepare map object\nfig = plt.figure()\nbbox = (-125, 25, -60, 50)\nbm = Basemap(projection='merc', lon_0=(bbox[2]+bbox[0])/2, resolution='l', \n llcrnrlon=bbox[0], llcrnrlat=bbox[1], \n urcrnrlon=bbox[2], urcrnrlat=bbox[3])\n\n# map decoration\nbm.drawmapboundary(fill_color=(1,1,1,0), linewidth=0)\nbm.drawcoastlines(color=tumgrey, linewidth=0.25)\nbm.drawcountries(color=tumlightgrey, linewidth=0.25)\nbm.drawstates(color=tumlightgrey, linewidth=0.125)\n\n# Haag along parallel\nbm.drawparallels([48.166], color=tumdarkgrey, linewidth=.25, dashes=(3, 1))\nplt.annotate('Haag i OB', xy=bm(-60, 48.166), color=tumdarkergrey, zorder=11, fontsize=7,\n va='bottom', xytext=(0, -8.5), textcoords='offset points', ha='right')\n\n# all stations\nfor _, station in all_stations.iterrows():\n bm.scatter(station.Lon, station.Lat, .5, latlon=True, marker='.', color=blend(tumblue, tumwhite), zorder=9)\n\n# best (3) stations\nfor _, station in mapped_stations.iterrows():\n bm.scatter(station.Lon, station.Lat, 8, latlon=True, marker='.', color=tumblue, zorder=10)\n x, y = bm(station.Lon, station.Lat)\n \n label_align = 'left'\n label_offset = (.5, -8)\n\n if 'New London' in station.Location:\n label_align = 'right'\n label_offset = (-.5, -8)\n plt.annotate(station.Location, xy=(x, y), \n color=tumdarkergrey, zorder=11, fontsize=7,\n va='bottom', xytext=label_offset, \n textcoords='offset points', ha=label_align)\n\nfor ext in ['pdf', 'png']:\n plt.savefig('usa.{}'.format(ext), bbox_inches='tight', dpi=150)", | |
| "prompt_number": 83, | |
| "outputs": [ | |
| { | |
| "png": 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CrVaXYTabBpegl6EDLVuUZO9HeUBubm5DS0vLz0+K0rsqlcqK4GQ7TYUL/gVf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\nrK80jMiNWXarxBWkOdIeWryluXVm9aVDjWX9bd9bu/aeN4GNpF7A9Hg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CLifzMQst4DI8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\nAAAASUVORK5CYII=\n", | |
| "text": "<matplotlib.figure.Figure at 0x11b6ab70>", | |
| "output_type": "display_data", | |
| "metadata": {} | |
| } | |
| ], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| }, | |
| { | |
| "metadata": {}, | |
| "cell_type": "code", | |
| "input": "from IPython.display import Image\nImage(filename='usa.png')", | |
| "prompt_number": 85, | |
| "outputs": [ | |
| { | |
| "png": 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OaQQELBYzhYUFm+bvcaMxampqli3BuCLnetbYZDLFxb4+djbtANIV71qtFp9v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| |
| "text": "<IPython.core.display.Image at 0xe24e0b8>", | |
| "output_type": "pyout", | |
| "metadata": {}, | |
| "prompt_number": 85 | |
| } | |
| ], | |
| "language": "python", | |
| "trusted": true, | |
| "collapsed": false | |
| } | |
| ], | |
| "metadata": {} | |
| } | |
| ], | |
| "metadata": { | |
| "name": "", | |
| "signature": "sha256:f18c89eb12731bfeb2b6dbb3b126d43773ac033748b5f3ee1be74d8b55a3262d", | |
| "gist_id": "829dc61bcf0b98bc886f" | |
| }, | |
| "nbformat": 3 | |
| } |
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