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@ajdawson
Last active December 19, 2015 07:09
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IPython notebook demonstrating proposed 1D plotting features for iris.
{
"metadata": {
"name": "1D Plotting Example"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Examples of 1D plotting\n",
"\n",
"This notebook demonstrates the proposed enhancehents to 1D plotting in [#593](https://github.com/SciTools/iris/pull/593).\n",
"The data set used is the NAMEIII trajectory data from the test data repository."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import iris\n",
"import iris.plot as iplt\n",
"import iris.quickplot as qplt\n",
"import iris.tests\n",
"import matplotlib.pyplot as plt\n",
"import cartopy.crs as ccrs"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Loading the data set\n",
"\n",
"NAMEIII trajectory data is loaded from the test data repository:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"cubes = iris.load(iris.tests.get_data_path(['NAME', 'NAMEIII_trajectory.txt']))\n",
"print cubes"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"0: U Turb / (unknown) (time: 836)\n",
"1: V Turb / (unknown) (time: 836)\n",
"2: W Turb / (unknown) (time: 836)\n",
"3: U Ambient / (unknown) (time: 836)\n",
"4: V Ambient / (unknown) (time: 836)\n",
"5: W Ambient / (unknown) (time: 836)\n",
"6: Sigma UU / (unknown) (time: 836)\n",
"7: Sigma VV / (unknown) (time: 836)\n",
"8: Sigma WW / (unknown) (time: 836)\n",
"9: Temperature / (unknown) (time: 836)\n",
"10: Pressure / (unknown) (time: 836)\n",
"11: Potential Temp / (unknown) (time: 836)\n",
"12: BL Depth / (unknown) (time: 836)\n",
"13: Cloud (oktas) / (unknown) (time: 836)\n",
"14: Rel Humidity / (unknown) (time: 836)\n",
"15: Wind Speed / (unknown) (time: 836)\n",
"16: Wind Direction / (unknown) (time: 836)\n"
]
}
],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"and the cube describing temperature is chosen to be plotted:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"cube_t = cubes[9]\n",
"print cube_t"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Temperature / (unknown) (time: 836)\n",
" Dimension coordinates:\n",
" time x\n",
" Auxiliary coordinates:\n",
" Travel Time x\n",
" height x\n",
" latitude x\n",
" longitude x\n",
" Scalar coordinates:\n",
" PP Index: 1.0\n",
" Puff?: N\n",
" Release Time: 2011-10-31 06:00:00\n",
" Source: Trajectory1\n"
]
}
],
"prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plotting the data\n",
"\n",
"A variety of 1D line plots can be made from this data set.\n",
"\n",
"### Regular line plot\n",
"\n",
"This plot is the same as the previous behaviour of the plot function, it plots the cube phenomenon against its dimension coordinate:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.figure(figsize=(12, 4))\n",
"qplt.plot(cube_t)\n",
"plt.gcf().autofmt_xdate()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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+zS9dkraP0FCZ3zxqlEz3yEt6uizKf+cdWYBuye+IrYoUce3dP+lRmiXQiqIg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\nbdqQnZ1Neno6mzdvJiMjg44dO9K3b1/Gjh2L2Wzmyy+/5LHHHnP0cOs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}
],
"prompt_number": 6
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plot a cube against a specific coordinate\n",
"\n",
"If a plot of the phenomenon against a different coordinate is required, then it is necessary to specify this coordinate as an argument, rather than using the keyword argument `coords` as was previously the case. The following plot of temperature against travel time demonstrates this:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.figure(figsize=(12, 4))\n",
"qplt.plot(cube_t.coord('Travel Time'), cube_t)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 7,
"text": [
"[<matplotlib.lines.Line2D at 0x3b2ecd0>]"
]
},
{
"output_type": "display_data",
"png": 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y+7b151+7VlEqVFCUFSvsi88Wr72mKB9/rP11yPPokCYriqIomo42TE9PR79+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\nExERERG5yX8AQqAB32/orqMAAAAASUVORK5CYII=\n"
}
],
"prompt_number": 7
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plotting the coordinate on the y-axis\n",
"\n",
"The benefit of the new calling syntax is that one can easily choose to plot the coordinate on the y-axis and the cube phenomenon on the x-axis. Below is a plot of the vertical profile of temperature for a particularly steep ascent of the trajectory:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.figure(figsize=(5, 8))\n",
"ascent = cube_t[670:700]\n",
"qplt.plot(ascent, ascent.coord('height'))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 8,
"text": [
"[<matplotlib.lines.Line2D at 0x37e6850>]"
]
},
{
"output_type": "display_data",
"png": 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8ROxw3jXYnj17AnDkyBHWrVtHfHx8gTO5Fi9eXOxBr7zySl577TUiIyNJTk7m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\nvHmkpaWxdOlSRo8eTX5+vrt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IoG3btlx99dXs3r0bgISEBO6++27atWtHs2bNWLNmDddf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\nSUVORK5CYII=\n"
}
],
"prompt_number": 8
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plotting coordinates\n",
"\n",
"It is also possible to plot two coordinates against one another. The following is a plot of the height auxilliary coordinate against the time dimension coordinate, with the ascending part of the trajectory from the previous example indicated:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.figure(figsize=(12, 4))\n",
"iplt.plot(ascent.coord('time'), ascent.coord('height'), 'k', linewidth=3, alpha=.7)\n",
"qplt.plot(cube_t.coord('time'), cube_t.coord('height'))\n",
"plt.gcf().autofmt_xdate()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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370WMH/8W3nnnnSq97uuvgaVLgYQECw+QqqyymJN5LCIbl5EBLF4MHD5s/mv/7/+AZ54B\nRo6seqabiIjUJRlrt2plrP/804IDI9WxgQuRjZs/X7p7VGfN7oABQP36kvUgIiJtlK2xdnd3r/Lr\n2rUDLlyQFqpkHxhYE9mw3FxgyRJg8uTqvV6nk1rr118HWC1FRKSN6tZYOzkBw4cD15edkR2otBTk\n4sWLWLZsGU6cOAG9Xg9A6ksWLFhg8cER1XUffggMGQK0aFH9YwwZIsH1998D99+v3tiIiKhqZLfp\nenByKjArYw0AI0ZIcmXaNAsNjlRVaWA9ePBg9OrVCx07doSDgwMURWFXDiIrKCwEFiwANmyo2XGM\nWev//leCbP73JSKyrqtXr8JgcDO7FAQAevcGsrOl1rpNGwsNkFRTaWBdWFiI+fPnW2MsRFTG558D\nHTsCnTrV/FjDhgGvvAJs2QLcc0/Nj0dERFVXmrE2rxQEkIXn//gHEBcH/O9/FhogqabSGuuRI0fi\n448/RlZWFi5cuGC6EZHllJQA8+YBL7ygzvEcHIDp0yVrTURE1lW2xtrcjDUATJkigfXJkxYYHKmq\n0sDazc0NL7zwAnr27Ilu3bqhW7duuP32260xNqI6a/16oF49oH9/9Y45YoT8UD5wQL1jEhFR5YwZ\na0fHArMz1gAQECC77k6fboHBkaoqLQV56623cOzYMTRu3Nga4yEiyFbkTz2lbj20k5PUWG/ZIlug\nExGRdRhrrKubsQbkCmZYmGwW88ADKg+QVFNpxjokJAT16tWzxliICMC1a8DGjVIXrba+fYHt29U/\nLhERVaygoKBGpSAA4OkJrFkDjB8vvyfINlWasXZ3d0fnzp3Rr18/uLq6AmC7PSJL+u47oHt3wBIX\nie6+G3jiCcBg4E6MRETWkp+fbwqs3dzcqn2cO+6Q3w9r1gCjRqk4QFJNpYF1dHQ0oqOjTS322G6P\nyLJWrgRiYy1zbF9fuR0+zHIQIiJryc/Ph8EggXVNqwDGj5c9DhhY26ZKA+uxY8daYRhEBMhOi1u3\nAp99Zrlz9O0L/PgjA2siImsxloI4OhbUOLAeOBAYOxa4ckXKQ8i2cEtzIhvyzTfSCaRBA8udg3XW\nRETWJYG1W41LQQDAy0vKQbZuVWlwpCoG1kQ2xJJlIEYRERJYGwyWPQ8REQF6vR7FxcXQ6+vBxaUI\nzs7ONT5mZCQDa1tVYWD9xhtv4AAb3hJZTXY2sGcPcP/9lj1P8+aAvz+wd69lz0NERFJfDQAGQz14\neqqzTq1nT/l9QbanwsA6KCgI7777Ljp37owxY8YgPj4eFy9etObYiOqUL7+UoLqanZjMMmgQkJho\n+fMQEdV1BQUFUBRAr3dFNfaGualu3YBDh4DiYnWOR+qpMLAeMWIElixZggMHDmDSpEk4duwYhg0b\nhj59+mDWrFnYw49KRKpavhwYOdI65xo0SHplExGRZUlHEFc4OhbDw6Nm9dVGXl5Aq1bS4YlsS6U1\n1jqdDl27dsX06dOxbds2fPfddwgLC8PixYutMT6iOuHwYeD0aQl4raF3b+DIEYAXoYiILKu0I0jN\nW+2V1bkz8Ntvqh2OVGL24sX69evjoYceYmBNpKK4OODRR623aYubmwTXmzdb53xERHVVQUGBqYd1\nTTuClNWmDfDnn6odjlTCriBEGisoAD7/HBg3zrrnjYoC1q617jmJiOqa0l0Xa97DuiwG1raJgTWR\nxr74Arj9diAw0LrnjY4Gvv9eAnsiIrIMtbYz/zsG1rap0sB6wIABVbqPyBZdvAi89x7wz39K/XJU\nFDBzprQpUhT1z6coQHo6kJYGlJRU/nyDAZg9G5g2Tf2xVMbPD+jUCfjhB+ufm4iorpBSEDc4Oqob\nWIeEAMePc08CW1NhYJ2fn4/z58/j3LlzuHDhgul24sQJZGZmWnOMRGa7dg2YMwcIDQV27wYGDAD+\n/W/ZBvbaNdmEpUcP9WqMCwqABQuAjh2lDdLddwMtWgD/+9+t2yGtXg34+spuiFp46CFgzRptzk1E\nVBeUzVirWQri7g40bQqcPKnaIUkFFQbWH330EW6//Xb8+eef6Natm+kWFRWFiRMn1uikubm5eOih\nh9CuXTuEhYVh9+7duHDhAiIjIxEaGoqBAwciNzfX9PzZs2cjJCQEbdu2xaZNm2p0bqrdiouBjz6S\nT/L79wM//QSsWCELAwcNAoYNA+bOBVJSJEv8+OPS4u78+eqf85tv5HxbtwLvvw+cOSNZ640b5b5+\n/YCbfRYtLgZeew34v/8DVNgvoFqGDQPWrQMKC7U5PxFRbWfsCqJ2YA1I8ojlILalwsB68uTJSEtL\nw7x585CWlma6HT58uMaB9aRJkzB48GAcPXoUhw8fRtu2bTFnzhxERkYiJSUFAwYMwJw5cwAAycnJ\niI+PR3JyMhITEzFhwgSUVOUaO9UpJSWS/W3fXjZaWbtWvm7T5ubPd3SUoPLIkdKSCHM/s12+LAH7\nf/4jW5GvXSuZZ4fr/6vCw4H164F77wV69QKOHSv/+gULgIAAeVwr/v5Aly7y4YCIiNRX2m6vQNVS\nEIB11rbIqbInPPvss9i5cydOnDgBvV5vun/06NHVOuGlS5ewY8cOLF26VAbg5IT69etj3bp12L59\nOwBgzJgxiIiIwJw5c5CQkIDY2Fg4OzsjMDAQwcHB2LNnD3r27Fmt81PtoihSI/zii5L1XbQIuOee\nqr/e3R2YPx8YMkSC5H79gDfekIDzVnbsAEaPBgYOBA4cADw9b/48BwfgpZeAJk2A/v2B7dtlkeL+\n/VKq8ssv2mWrjZ54Avj4Y2DECG3HQURUG8kGMV7XFy9W8Muimtq0AZKTVT0k1VClixf/+c9/4vnn\nn8dPP/2EvXv3mm7VlZaWhiZNmuDRRx9F165d8fjjj+Pq1avIzs6Gr68vAMDX1xfZ2dkAgNOnTyMg\nIMD0+oCAANZ4E0pKpIThzjuBZ56Rso69e80LqssaMECy1wEBUic9fTqQkXHj8woL5Vz/+Icsivzo\no4qD6rKefBKYMkWy03FxwH33yWuDg6s3XjVFR8smA3/PqBMRUc0VFhZapCsIwIy1Lao0Y71v3z4k\nJydDp1JaTa/XY//+/Xj//fdxxx13YPLkyaayDyOdTnfL893ssRkzZpj+HhERgYiICFXGS9pTFODs\nWQn8/vpLMsRr1wI+PpKpfvBBdTZW8fICXn9d6q7feksC7H79ZIHfPfdI3fS4cZJxPnRIstDmePZZ\nwNkZWLoU+OoroE+fmo9ZDa6uwKhRwOLFkkUnIiL1GEtB6tU7B1dXV1WPzcDa8pKSkpCUlFTl51ca\nWIeHhyMrKwvNmzevybhMAgICEBAQgDvuuAMA8NBDD2H27Nnw8/PDmTNn4Ofnh6ysLDRt2hQA4O/v\nj/T0dNPrMzIy4H+T6/RlA2uybSUlwJUrcsvLk9uVK8ClS0BurrTIy8oqDaSPHQNcXIDWrSXDGxYm\n2erwcMuUUQQGSjb6jTeAVavk9tRTEnjPnCnBdXXP+/TTcrM1Tz8tdeCvvCLlMUREpA5jVxBL1Fi3\naCG/M/Py5HcUqe/vydqZM2fe8vkVBtZDhw4FAFy5cgVhYWHo3r276ZOWTqfDunXrqjVAPz8/tGjR\nAikpKQgNDcXmzZvRvn17tG/fHkuXLsXUqVOxdOlSREdHAwCioqIwcuRI/Pvf/0ZmZiZSU1PRvXv3\nap27NigpAb79VjKeO3dKNwsHB6BVK+Cuu+SyfkRE6QI6LRQXl/ZyPnGi/J9paUB2tgRvnp7yg8D4\nZ/36QIMGQMOG0kLo4YclmG7dWu6zNi8vyV4//rjMu06nfT20pQQHy/tn2TL5EEFEROooLCyEweBm\nkVIQBwf5+Z2aCnTtquqhqZoqDKynTJlisZO+9957eOSRR1BUVITWrVvjs88+g8FgQExMDOLi4hAY\nGIjVq1cDAMLCwhATE4OwsDA4OTlh0aJFqpWl3Mzp05IN3bFDLq9kZUmg6OUFNG8u2dLwcKBDB/mz\ncWOLDeUGe/cC48dLOcETT0gdsJ+fNIf/6y9p7fb88xJsDxsmvZR79ZI+yX+fsoICCXDPnCn989w5\noMz6VDg7A25uQL168mfZv5eUyCfk3Fzg1Cnpo3nihPx59qyMq1UruQUGyiI/49+bN1endMOatPyg\nYi3//rd8iHjiibrx/RIRWUPZdntqB9ZAaTkIA2vboFMUS+w/Z106nQ41/TbS0qRt2pYtwP33S21t\nWJgEgS4uEkRmZMgCt99/l8Vev/8ugWbZQLtbN6nNVTP2NxhKSxMWLJCFc7c6/sGDwIYN8uFgzx4Z\nu5+fBLNFRfJ1QYEE3L6+8pivr2SJnZ3lGIoiQXZ+vjz373/qdKVZ5pYtgdtuk6D5ttuko4bxOGQ/\nFEW2Vp85U/4PEBFRzT355JNYvfo5tG//CVatmlyuIYMaXnoJcHICWBFrHZXFnJXWWHvdpGinfv36\nuOOOO/DWW28hKCioZiO0AUuWSKZ3yhTg009vXqfk6yuXW8quiVQUCbaNQfa2bbI9dX6+bKH9zDOV\nt22rzN69sujNyUlKP6rSRaJzZ7m9+KJ8XVAgmXeDQRaqeXpKyUVtLWug6tHpJGs9fz4DayIitUgp\niGVqrAHJWK9fr/phqZoqDawnTZqEFi1aIDY2FgCwatUqHDt2DF26dMG4cePMWilpaxQF+O9/JbD+\n8UfJUJtDp5OFAy1aAIMHl95/9Cjw4YeSxX70Ufk0aW6N8MGDspBs/375FDpuXPUvz7u5SRkGUWUe\nfhiYOlXef507az0aIiL7V7YURO2uIIAE1m+/rfphqZoqDdXWrVuHJ598Et7e3vD29sYTTzyBjRs3\nYsSIEbh48aI1xmgxr70miwB//tn8oPpW2rUD3n1XmrZfvSpv+nfekTKMW1EUKd+IjpY+xwMGSO30\nY4+x5pWsw8UFmDhRstZERFRzElhbZvEiINuap6RIDEHaqzRcc3d3R3x8PEpKSlBSUoLVq1eb3hiW\nXERoaZ99JpnqjRulxtgS/Pwkc71tm+wOaAy4//55RK8H4uOBHj0kMz1woLSYmzRJss1E1vTEE9J5\n5swZrUdCRGTf9Ho9DAYD9Pp6cHEpgpNTpYUCZmvQAPDwkOYLpL1KA+vPP/8cy5cvR9OmTdG0aVMs\nW7YMK1asQH5+Pt5//31rjFF1e/bI5e4NGywXVJfVvj3w/feyMcgvv8hiv169gDFjJIhp3RpYuBD4\nv/8D/vgDmDCBvYRJOz4+UhLy8cdaj4SIyL7l5+ejpMQJgA7u7k4WS0hyoxjbUelHp9atW+O77767\n6WO9e/dWfUCWdvGidNX46CN5I1pT795yKyiQAPvkSVno+NRTbJNDtuWZZ4BBg2T7dhcXrUdDRGSf\nym5nXq+e5S5BGwPr/v0tdgqqogoD67lz52Lq1Kl45plnbnhMp9NhwYIFFh2YpTz3nHQ8ePBB7cbg\n5ibt/IhsVYcO8oN6zRrg+rplIiIyU9n6akssXDRixtp2VBhYh11fzdetWzfTfcbeffZaW/3zz8Dm\nzdK1g4hu7ZlngDffZGBNRFRdxo4gjo6WWbho1KaN7MNB2qt0S/OxY8cCAK5evQoPDw+rDMoSDAbp\ndjBv3s37VBNReVFRcoXn119l4xgiIjJPQUEBDAbL7bpoFBrKjLWtqHTx4s6dOxEWFoa2bdsCAA4e\nPIgJEyZYfGBq+/BD2SVwxAitR0JkH5ycZCHte+9pPRIiIvtUWmNtmc1hjIKCpCtIYaHFTkFVVGlg\nPXnyZCQmJqJx48YAgM6dO2P79u0WH5iaMjJkm+b33+dug0TmeOwxYN064OxZrUdCRGR/LN3D2sjZ\nGbjtNtn7grRVpW1HWrZsWe5rS/RhtJTiYmDUKKkXDQ/XejRE9qVRI1noGxen9UiIiOyPsRTE0jXW\nABcw2opKA+uWLVvi559/BgAUFRXhzTffRLt27Sw+MHPl5Nx4n14PjB0rjdOnT7f6kIhqhYkTpZTK\nYNB6JERE9iU/P79Mu716Fj0XA2vbUGlg/cEHH2DhwoXIzMyEv78/Dhw4gIULF1pjbGbp3Fl2U8zL\nkwDgxx+BPn2Ay5eBL78EHB21HiGRferaFWjeHKignT0REVWgNLC2bI01wMDaVlRa09GkSRN88cUX\n1hhLjawm3qD9AAAgAElEQVRaBbz+uiy20uuBtm2BZ58Fxo8HHKpU8EJEFZkyBXj+eaBbNyAgQOvR\nEBHZh7Lt9iydsQ4NZdmeLagwsC67MYyxf3XZr21tg5jevWWLcoMBKCmRQn4iUsdDDwEnTgAREcDW\nrcDfll0QEdFN5Ofnw2DwhotLHtzcLNvrt00bICXFoqegKqgwsO7WrZspoH711Vcxa9YsU3BtyxvE\nODqy7IPIEp5/XlrwGYPrwECtR0REZNtKS0Guwd3d3aLnatpUkovnzgFNmlj0VHQLFQbWxo1hAODd\nd9/FmDFjrDEeIrJhkydLcN2vnwTXrVppPSIi23DpkuxUOnMmyw+pVGkpiOVrrHU66X72++/yM1pt\nBoNcvdy1C3j8ceDll1kdcDP8709EZpk4EfjPfyRzffy41qMhsg2vvAL897/A+vVaj4RsiTW7ggBA\nx47A4cOWOXZcnHRgS0oCDh2SjmuNGwM9ekgHthkzgAMHLHNue8LAmojM9vTTUhoSHQ1cu6b1aIi0\ndegQsHIlsGiRZKxLSrQeEdkKqbF2s0pXEMBygbWiyBWZuXOlljshQbquJScD8+dLF7bCQuC++4B3\n3lH//PakwsDa09MTXl5e8PLywm+//Wb6u5eXF7y9va05RiKyQRMnAh06yOZLRHWVogD/+hfw2mvA\nk0/KGp8VK7QeFdkKYymIk9M1q2SsO3WyTGD9009S9tGrV+l9bm5S133XXdKBbfZsYM8e+YA5d676\nY7AXFQbWV65cQV5eHvLy8qDX601/z8vLw+XLl605RiKyQTod8NFHwI4dkr0gqovi4yVT99hjUlv9\n+uvA//4nATeRsRTE0bHAKoF1eLhkkdXe0OuLL4DRo+Xn/q20bCmlIvPm1d3t1VkKQkTV5ukJLF4s\n2etLl7QeDZH1ffONvP+N3aj695c/d+zQbkxkO4xbmjs5WX5LcwDw8gL8/IDUVPWOaTDI+3z48Ko9\nv3lzYNIkqbmuipISCcYPHqzuCG0LA2siqpG+fYHBg4Fp07QeCZF1KQqwfbv8HzDS6YAhQ2T3X6Jr\n165ZdfEioH6d9S+/SMlHcHDVXzNpErBxY+UBflKSLH6cOBEYOBDYu7dGQ7UJDKyJqMbmzgW+/Rb4\n9FNeAqe6IyUFcHW9sad7167Avn2aDIlsSElJCQoKimEwuMDRsRCurq5WOa/agXVionxYNIe3twTL\nb7xR/v7CQgmmlyyRhY7jxgH//reM9803paWrvf8O0SSwNhgM6NKlC4YOHQoAuHDhAiIjIxEaGoqB\nAwciNzfX9NzZs2cjJCQEbdu2xaZNm7QYLhFVokEDYPVq4NVX5YcmUV2wfTtw99033t+tGwNrAgoL\nC6HXu16vr3aFg5UanKu9gHHjRmDQIPNf9+yzwLp1sqARkKs4rVvL1c2tW4GoKOCPP4DYWFmf8Mgj\nQG4usHmzemPXgiaB9bvvvouwsDDTDo5z5sxBZGQkUlJSMGDAAMyZMwcAkJycjPj4eCQnJyMxMRET\nJkxACfsYEdmkO+8Ebr8duHhR65EQWcffy0CMWreWVmTnzll/TGQ7pNVePTg5WWfhopGaGeucHLky\nc+ed5r+2YUPJTA8ZAkydKjXacXGywcyyZdK21cWl9PmOjsBzzwHvvqvO2LVi9cA6IyMD69evx2OP\nPWbaIn3dunWmnR3HjBmDtWvXAgASEhIQGxsLZ2dnBAYGIjg4GHuMH32IyOZ4egJXrmg9CiLLu1l9\ntZFOx3IQMnYEcbPKrotlBQVJQKzGgvIffpD3eNkA2BxDhwKbNgHFxcB331We+X7kEeDnn4GsrOqd\nr6oU5eadU9LTJbD/9dfqH7vCLc0t5bnnnsO8efPKtezLzs6Gr68vAMDX1xfZ2dkAgNOnT6Nnz56m\n5wUEBCAzM/Omx51RZvlpREQEIiIi1B88Ed0SA2uqK9LSpJtBRQu6jOUg995r3XGR7SguLkZJiXXr\nqwEpqwgPB377Dejdu2bHqm4ZSFldusitKurVAyIjgQ0bpP7aEqZMkUy6g4NsZvPII3L/kSPAgAHy\n/f7vf1Lv/cILQFJSEpLMqHG0amD93XffoWnTpujSpUuFg9TpdKYSkYoev5kZVe3rQkQW4+kJXL2q\n9SiILM+Yra7o11W3brLugOquoqKi6wsXi+FS3ZRvNXXsKDuC1iSwVhTJNr/0knrjqoohQ6Q22xKB\n9V9/SU/uQ4eA8+elo9X580BRkQTZb70lgfbp00D37lKvPnBg+WTtzJkzb3kOq5aC7Ny5E+vWrUOr\nVq0QGxuLrVu3YtSoUfD19cWZM2cAAFlZWWjatCkAwN/fH+np6abXZ2RkwN/f35pDJiIzMGNNdUVF\nCxeNWApCRUVFKClxhoNDEZycrFsgoEad9ZEjkkE2p82eGu67D9iyBcjPV//Y33wDPPAAEBAgQfPm\nzdLNKiUF+PDD0ux18+alezQUFZl3DqsG1m+88QbS09ORlpaGVatWoX///li+fDmioqKwdOlSAMDS\npUsRHR0NAIiKisKqVatQVFSEtLQ0pKamonv37tYcMhGZwcODgTXVDTt23DqwDg6WDgc5OdYbE9kW\nvV5/PbC2fsZajc4gmzZJb2lra9pUrvhs2KD+sb/5BnjwwdKv27WTjWk+/hi4//7yz73vPvl//Oab\n5p3D6jXWZRnLOqZNm4aYmBjExcUhMDAQq69fPwsLC0NMTAzCwsLg5OSERYsW3bJMhIi0xYw11QUX\nLwJnz8ov5Yo4OEhd6f792gQnpD1jKYgWgXWHDsDvv8s6gOp2+du0CXjySXXHVVUPPwx8+SUwbJh6\nxzx9Wtr79etX9dd8+KF0uzpxAmjWDFizpvLXaLZBTN++fbFu3ToAgI+PDzZv3oyUlBRs2rQJDRo0\nMD1v+vTp+Ouvv/DHH39gUE0r6InIolhjTXXBwYNyqb2ygIX9rOu20lKQYjg7O1v13A0aAD4+ssi2\nOgoKgJ07zQtC1TRsmGSs1SwHSUiQmmpzPuO0bAkcOAC0aSNdRN57r/LXaJqxJqLahRlrqgsOHqxa\nl4Nu3YCvv7b8eMg2lXYFKbJ6YA2U1lm3bm3+a3/+WTqLlMlzWpWxHCQxsXzpRk1s2ACMHGn+6/z9\npZNIVXFLcyJSDWusqS44cKBqgXV4OJCcbPnxkG2SwNpJk4w1ULMFjElJ0npOSzExQHy8OscqLpYF\nx/fco87xboWBNRGphhlrqgv27ZOuH5UJCQGOHwf0esuPiWyPljXWgCxgPHSoeq/dtQsos42IJoYP\nl4y1GuWFu3bJ/8fGjWt+rMowsCYi1ahVY60o0v5oxQrZ4nbYMMmejBsH7N5d8+MTVdfVq1K32r59\n5c+tVw/w85OFT1T32EopiLlKSoC9e6WPs5YaNwZ69AC+/77mx7JmhxMG1kSkGjUy1ufOyQKT/v1l\nk4BmzaQubto0+UURHQ188IE64yUy18GDElRXNQHZpg3w55+WHRPZJgmspY+1FoF1cLB0wsjLM+91\nf/4JNGoENGlimXGZY8QIdcpBNm2SHR2tgYsXiUg1NQ2sU1IkqH7oIQmq//67KDISiIqSoBsAnn66\n+uciqo59+2RRVVWFhkqgMmSI5cZEtqm0K4hek1IQJycpWdqzx7x66d9/lzISWxAdLVuLX74MeHtX\n7xjnzwNHjwJ33qnu2CrCjDURqaYmixd/+kk23Jg2DZgz58ag2igoCNi2DZg1C/jhh+qPlag69u2T\nvrZV1aaNfGCkuqe4uPh6jbU2GWsAiIiQn5fmSE2VemRb0LChJFJq0l1n1Sr5YOvqqt64boWBNRGp\npl492f7VYDDvdStXSh310qXAY49V/vxWreTy4D//Wf0+rUTVYW7GmqUgdZexFMTRUZuuIIAE1klJ\n5r3GlgJrQLYZX7Gieq8tKQHi4oCxY1Ud0i0xsCYi1eh0QP36wEsvAVu2VN7cv6QEeOUVYPp0eb45\ne0DdfTcwdSowerT5gTxRdZizcNGIgXXdVXaDGC1KQQApfzh40LxF5SkpthVY33+/7GB6+rT5r33j\nDcDd3Tpt9owYWBORqhITJcB++WVp8h8ZCcybJz8Yy7Ydu3ZNFqZs3iydPjp0MP9ckycDjo7A/Pnq\njZ+oIgcPAmFh5u3cFhAAXLokNaJUt2i9eBGQoLJLF9lFsapsLWPt5iZXNFeurNrzi4uB5cslYbNo\nEbB6tfyesBYG1kSkqu7dJUuwcyeQkQFMnAicPAmMGiX1cn37yqLDjh2ldGTrVgnAq8PBAfjsM+B/\n/5MFN0SWZG4ZCCDv0ZAQ1lnXRaU11tqVggDm1VlfuiRJj2bNLDoks1W1HERRgAkTgIUL5YrounVA\n8+aWH19Z7ApCRBZTvz7wwANyA+SH9p49cmk8NlbKOWqqVStZ7Pjgg0BCgmQUiSxh3z6gd2/zX2dc\nwGjOokeyf8ZSEEfHIs1KQQDpCDJliiQ8KpOaKm36dDrLj8scffsCOTmSQAkPr/h5X3whSZ3du6VL\nlRaYsSYiq6lfX0pDJk5UJ6g2Gj9eLvv17Qt89ZV6xyUqy9yOIEbGlntUt5SWgmibse7dGzh1qmob\nFdlaGYiRg4PsZ/D55xU/R6+XdTeffaZdUA0wsCaiWuLRR4GNG4H//EdWgJ8/r/WIqDapzsJFIy5g\nrJuMOy9qHVg7OUk/6Kq0rEtNlQ+Ctuif/5SMdEnJzR9PSJArmFrvGMnAmohqja5dZQvfBg3kcuGK\nFVJzR1RThw6Zv3DRiIF13SQ11tqXggDA8OFVu5pnqxlrQBa4N2wIrF9/88c//RR44gnrjulmGFgT\nUa3i6Qm88w6wdq382aePdCQhqonqLFw0MtZYV5Rpo9qpbLs9LTPWgGyy8scfQGbmrZ9ny4E1AMyd\nK6WEW7aUv//cOeDnn2WtjdYYWBNRrdSjhyxgGTsWuO8+4K23mL2m6vv11+oH1t7ecqssqKHaRQJr\n7UtBALnScv/9knC4FVsPrAcNAl5/Xeqtd+0qvX/JEmDoUG1rq40YWBNRreXoKDs57tkj29o+/DCQ\nl6f1qMge1SRjDUiw8tdf6o2HbJ9er9e8j3VZDzwgdcgVOX9eFgA2aWK9MVXHI48AixcDUVFSFnLl\nCvD228ALL2g9MsHAmohqvdtuA3bskI0GRo9m5prMc/UqcPz4rdt8VYaBdd1TVFQEg0HbnRfLGjRI\nsry5uTd/3JittrVWezcTFSUfEh59FOjUSRZnduyo9agEA2siqhPc3IC4OCA9XdoxEVXVoUPSDaQm\nsVFwsAQuVHcYS0EcHW0jsPb0lOC6oh0Mbb0M5O969QJ++02y1++/r/VoSjGwJqI6w9VVfgi/+KIs\ndiGqipqWgQASWDNjXbeU7WPt5GQb+/E9/jjw8cc3v2pnb4E1ILv29u8vfa5thQ0NhYjI8rp0kRq9\n55/XeiRkL9QIrENCmLGuS0pKSlBQUAiDwQWOjoVwdXXVekgAgHvukTrq77+/8bGUFPsLrG0RA2si\nqnNmzQK2bQO2btV6JGQPDh0COneu2TFatwaOHWPLvbqi7OYwrq7OcLCRlKqDg3TVeOEFID+//GNH\njtRsHQEJ2/iXJiKyIk9PYOFC2Uzg6lWtR0O2TK+XzV2qs+NiWV5eQP36QFaWOuMi21ZYWAiDwdWm\nstVGQ4fKQr/p00vvKyqSUqW2bbUbV23BwJqI6qShQ4GePcv/ctFKfj6wZo10niDbkpoK+PsD7u41\nPxYXMNYdthxY63TABx8AX34JbNgg96WkSPekevW0HVttYPXAOj09Hf369UP79u0RHh6OBQsWAAAu\nXLiAyMhIhIaGYuDAgcgt0w9m9uzZCAkJQdu2bbFp0yZrD5mIaqkFC+SXy48/ajeGP/6QAP/NN4EB\nA4DCQu3GQjf67Tf1Lo9zAWPdUVBQYAqs3dzctB7ODXx8gPh4YMwY2bHw8GGWgajF6oG1s7Mz3n77\nbRw5cgS7du3CwoULcfToUcyZMweRkZFISUnBgAEDMGfOHABAcnIy4uPjkZycjMTEREyYMAElLFIj\nIhX4+EjmZtw44No1659/507g7ruBCRPk7+HhwKJF1h8HVez334EOHdQ5Fhcw1h2FhYXQ691sMmNt\ndNddwPLl0hN64kTgH//QekS1g9UDaz8/P3S+vgrE09MT7dq1Q2ZmJtatW4cxY8YAAMaMGYO11/fd\nTEhIQGxsLJydnREYGIjg4GDs2bPH2sMmolrqgQckYzxtmnXP+8MPcu5ly4Ann5TLs3PmALNnAxcv\nWncsVLHfflMvsGYpSN1hy6UgZQ0aBJw6JRnrhx/WejS1g6aNFU+cOIEDBw6gR48eyM7Ohq+vLwDA\n19cX2dnZAIDTp0+jZ8+eptcEBAQgMzPzhmPNmDHD9PeIiAhERERYdOxEVHssWAB07w507QqMHWv5\n861ZAzz9NPD110CfPqX3t28P3Huv9JmdOtXy46DKqRlYt2kjCyGp9jOWgjg5Fdh0YA0AHh5yo5tL\nSkpCUlJSlZ+vWWB95coVDB8+HO+++y68vLzKPabT6aC7xZ6aN3usbGBNRGQOHx/g22+Bvn2B5s2B\ngQMtd664OODll4GNG6Wn9t9NmgQMGwZMmQLYyJ4SddbVq8Dp05JpVkObNtJyr6ioZrs4ku2zl4w1\nVe7vydqZM2fe8vmadAUpLi7G8OHDMWrUKERHRwOQLPWZM2cAAFlZWWjatCkAwN/fH+np6abXZmRk\nwN/f3/qDJqJarV07ySCPGiXlGDk56h1bUWSTkQkTgNdeA5KSbh5UA7IRib+/BPqkrSNHJBhW6wOO\nm5t0XkhJUed4ZLsksLbtGmuyDKsH1oqiYPz48QgLC8PkyZNN90dFRWHp0qUAgKVLl5oC7qioKKxa\ntQpFRUVIS0tDamoqunfvbu1hE1Ed0Ls3sGuX1Bu2bg3ceSfwzDOSZd6yRS7j32qRY14ecPasbJee\nkiKr7WfNkqA9JgZo1Aj45RcgNPTW43jmGeD999X93sh8apaBGIWHS8BOtZsxY+3gwMC6rrH6hcaf\nf/4ZK1asQMeOHdHlespm9uzZmDZtGmJiYhAXF4fAwECsXr0aABAWFoaYmBiEhYXByckJixYtumWZ\nCBFRTbRqBaxcKQH03r3A/v3Sjm/FCiA9HcjIkHrEJk1k85CiIrlduSKZaXd3+bNhQwmk77gDWLIE\n6NFDFihWxbBhwFNPAefPyzFIG2p2BDFq356BdV1gDKydnApsst0eWY7VA+vevXtX2C5v8+bNN71/\n+vTpmG4LuzgQUZ3h7i411337lr9fUaRMJCcHcHaWWlkXF9lYwdu76sHzrbi6Av36SR32yJE1P565\nrlyRm8Eg39PflsHUGb/9Jl0T1BQaCqxfr+4xyfawxrru4s6LRERm0OkkW92unSxqa9kS8POT7arV\nvJg2eDDw/ffqHa+qFi8GAgKATp0k2+7rC8yda/1x2AJLlIIEBckCRqrdGFjXXQysiYhs0ODBkrE2\nGKx3zsxM6ee9Zw+QnS0dMVJTgXffBbZvt944bMHZs0BxsXSJUVNQELeurwtsfedFshw2cyIiskEB\nAXLbtUt2SLOGmTOBxx4rv7jS3x/48ENg/HhZ1Onubp2xaM24lbnaS3p8faV+//JlKbOpTY4cARIS\ngBMngMJCWez755/yAcXTUz6kGG+urjIHly/Lot/8fJmXa9ek3KppU6BZMyAsTDro3HWXXCmyF8xY\n110MrImIbNSQIVIOYo3A+uhR4Jtvbt4KLipKFnS+8grw5puWH4stsEQZCCCBujFrfX0TYru3Y4dc\n6Th5Unbv69ZN1h2MGyeLNV1dpWY/M1OugmRmSrBdv77U73t6yoJgd3dZq6AocsXg9GlZQPrxx7Jx\nU/fusrFSVBTg6Kj1d31rDKzrLgbWREQ2asgQ6X39xhuWPY+iAJMnA9OnSzeTm1mwQALNhx+WDie1\n3W+/SY25JbRuLXXW9h5Y//mnBNT79wOvvw7ExlYc8Hp5SQa6qtq1K//1tWuSDZ87V66srF0LBAZW\ne+gWxz7WdRcDayIiG9Wjh7T3y8iQshBL+fZbaSU4cWLFz2nSBFi4EPjHP6QNoT1dlq+O33+XjKsl\nBAZKdtdenTsnwW18PPDCC3I1w9JlxO7uEriPGAG89x7Qqxfw0UfA0KHly3X0euDgQWDnTsl4FxVJ\nRrxFC6B/f/lQYw2lNda2v6U5qYuLF4mIbJSjo7R7s2R7NkUB/vMf4O23pX3grQwfLrfnnrPceGxB\ncbHUC1uiFASQ3RftMbC+dk2unrRrJ+/No0flvWPNtXk6HfDss8AXX8gVlnbtZF3AuHHSGrNhQykb\nOXJESk2aN5ex/vSTBOPjx0uwbWk5OTkoKqoPZ+erqFevnuVPSDaDGWsiIhs2ZIhkBp94wjLHP3xY\nFpoNHFi158+aBbRtK5f/u3a1zJi0dvCg1EFbanHhbbfZX5eVlSuBqVPlKsquXdJqUkv9+km5zt69\nwIEDEnCPHCnvSR+fm78mLw945BFg9Gjg888tV6edlZWF1NQruHbNF02apCMoKMgyJyKbxMCaiMiG\n3XuvLNgqKLBMZvCbb4AHH6x69wsPD6n7/uAD6XldG/3yi2xnbyn2lLHOywP+9S/g11+BVassOy/m\n0ulkQWP37lV7vpcXsHq1tLJ84QVg/nzLjGvnzp3Izu6Bpk33oVu3Dmy3V8ewFISIyIb5+EhJwo8/\nWub4xsDaHOPGAV99BVy6ZJkxaW3rVikbsBRbDqzPngUSE2Wx6rPPSgbYxUUCa1sKqqvLzQ1Ys0be\nvz/8oP7xFUXBpk2bkJ4+AM2a7UAvS76RyCYxsCYisnGW2oXx+HHgzBnzAyZfXykdWbFC/TFpbc8e\nuZn7YcMcjRpJ+U1enuXOYY4zZ6TbRocO0sP8zTeBP/4AWrWSVneffFK7+pc3bChXXP71L/l3UNOh\nQ4fwxx8uKChohMDAZNxlrSb0ZDNYCkJEZOPuv1969779NuCgYjrkm2+q3xN44kSpaR0yRLpcHD8O\nbNok3RcCA2WceXkSxISEqDdmS5s/XxbFWXLzFp2uNGsdHm6589xKdrZkpr/+Wq6GDB8uGwH17Gn7\nPaLVMGSIdBWZPx948UX1jrt69WocO/YgbrstEffcE8EykDqIgTURkY3r0EHa223YIAGBWlavBl57\nrXqv7dNHApKuXUs3PLn/fiklMJY5eHjIZiBhYZIhLLujoy26elXm+L33LH8uawfWej2we7d8fxs2\nyL/XgAGSmV+xQuqP65p33pH67KFD1fl32LZtG37++RLOnr0dnTp9gujot2t+ULI7DKyJiGycscXY\nggXqBdZpaXLr37/6x5gwQTaMSU0FOnWSQPrvioslqO7dG/juuxsXmun1Eny3aKFuNr46vv9eul5Y\no0e3NeqsT54EtmwBNm6UeuKWLYH77pMrH716Vd5esbYLCpK5GDJEWlq2b1+94+Tk5GDt2rVYs2Y7\nDhyYhXbtlmDIkN7w9fVVd8BkFxhYExHZgZgY6WRw9OiNu9JVx+rVwLBhgFMNfws0aXLrQNTZWT4U\nBAVJZnDjxtIdB8+elaAmLU02wJkzR7qgaCU+XjbAsQa1A+urV4HkZOnfvHs3sHmzLC4dMEB6ob/9\ntvR0pvJGjZIPrv36yRzFxlbtA15JSQkOHTqELVu2YNu2/Th+PBJpae8iIGALevQ4gkcffcfygyeb\npFMURdF6EDWl0+lQC74NIqJbmjlTgrFPP635sbp2Bd56SwIKa1mzRmqzp08H/vpLNvn417+AV1+V\n7aqfe07KSebNs+6mI4DUgwcESJBfUR9kNX3xBbBunbSwq0xJCXDhgnwQyc4uvZ0+LR+0fv9dFiCG\nhkrWtVs34J57pLxB66sA9mLXLmDyZGlr+cYbktn/ewtKvV6P1NRU7Nq1Cz/+uAOpqT44dWogzpy5\nE02a7ENw8Ffo0aMepk6dikaNGmnzjZDFVRZzMrAmIrITubmyEDApqfqXrQHJbN5zj2xjbu2FauvX\nS0AZECCLH8vunZGbK7vopaVJO7RWreT+9HSpC1YU4IEHAD8/9cf1xReyaYgluq/czM8/A08+KSUZ\nP/wgpTJvvgmcPy9Z/S1bgFOnZPvw8+dlMWWTJtKRxXhr1kw26wkPl3ms6dWHuk5R5APe//2ffLh6\n/nnA3X0HNm/+DhcuXMDZs5dx4UJzZGXdidOn+8DBQY8WLTajRYst6NrVH8OHD8ftt98OXVWbwpNd\nYmBNRFSLfPyx1Cz/+GP1F5w98wzQoEH1Fy5akqJILfmMGbLosVEjYOdOaTmoKBJgv/22XMJXS3Gx\nBOwjRsiufNaQkSF15aNGSSC3ZIlcQfD3l9KNyEj5ENWkCdC4MeuhrclgkA9an34K/PKLHg4OOVAU\nRxQV1Ye7+xn4+u5B8+Y/IiDgPPr374f+/ftzd8U6hIE1EVEtoiiyaPCnn6RdWEU9qBVFsp3HjknZ\nxbFjctu9W+pxd+2SwM5W5eRIicP588Bdd5VmqY8ckbrsV16RjWoqem1ODnDligTNLi6lN1dXyewe\nPy5bl//0k2SM27WT9nOWbLNXlqIAa9dKQG8s18jNBerXr/oumGR5mzfvwhtvfAKdDnBzOwdf30bo\n2rUrevTogS5dusCJlwnqHAbWRES1jKJIi7RXXpHsWliYZDVdXSWYPHlSNvhwdASCg4HWreXPoCBZ\nONixo33X3v75J9C3r3zACAyUIDo1FUhJkWC8qEhKJTw9JYguLpb7iopkQ5CiIlk82KWLdCm5917L\nlJeQ/bt06RJOnToFHx8f+Pj4oF69eloPiTTGwJqIqJYqKZF65KNHgYsXJWj08JC2am3aSLBdW6Wm\nym6BBQVSDxsSIov3wsOl+wWzvkRkCQysiYiIiIhUUFnMaccXA4mIiIiIbAcDazuRlJSk9RDsDufM\nfJwz83HOzMc5Mx/nzHycM/NxzmrOLgLrxMREtG3bFiEhIZg7d67Ww9EE3+zm45yZj3NmPs6Z+Thn\n5pqhAN4AABwLSURBVOOcmY9zZj7OWc3ZfGBtMBgwceJEJCYmIjk5GStXrsTRo0e1HhYRERERUTk2\nH1jv2bMHwcHBCAwMhLOzM0aMGIGEhASth0VEREREVI7NdwX56quvsHHjRixevBgAsGLFCuzevRvv\nvfee6TncPpSIiIiIrOFWobPNbxlUlaDZxj8bEBEREVEdYPOlIP7+/khPTzd9nZ6ejoCAAA1HRERE\nRER0I5sPrG+//XakpqbixIkTKCoqQnx8PKKiorQeFhERERFROTZfCuLk5IT3338fgwYNgsFgwPjx\n49GuXTuth0VEREREVI7NL14kIiIiIrIHNl8KUtfs27cPeXl5Wg/DrnDOzMc5Mx/nzHycM/NxzszH\nOTMf58xyGFjbiJSUFLRr1w7R0dHYuXOn1sOxC5wz83HOzMc5Mx/nzHycM/NxzszHObM8xxkzZszQ\nehB1laIo0Ol0UBQFhw8fRlBQEEJDQ5GZmYlWrVqhQYMGWg/R5nDOzMc5Mx/nzHycM/NxzszHOTMf\n58y6GFhrSK/Xw9HRETqdDg0aNMDdd98Nf39/fP311/Dy8kJoaCgcHR21HqZN4ZyZj3NmPs6Z+Thn\n5uOcmY9zZj7OmXWxFEQDq1evhpubG8aMGQMAKCkpQcOGDQEAoaGh6NWrF3bs2IHk5GQth2lTOGfm\n45yZj3NmPs6Z+Thn5uOcmY9zpg0G1laWmZmJpKQkLF68GD/88AP27dsHBwcH6PV6lJSUAABGjhyJ\ny5cv4/DhwwCA3NxcLYesOc6Z+Thn5uOcmY9zZj7Omfk4Z+bjnGlIIYu7cOGCkpOTY/r6999/VxRF\nUf773/8q3bp1K/dcg8GgKIqi/PTTT0pMTIzSq1cv5e6771ZKSkqsN2AbwDkzH+fMfJwz83HOzMc5\nMx/nzHycM9vAwNrC3nrrLaVJkybKww8/rDz//PM3PN6qVStl2bJliqIoSnFxsenNPnPmTMXFxUWZ\nOnWqUlxcbNUxa41zZj7Omfk4Z+bjnJmPc2Y+zpn5OGe2g4G1BaWmpioDBw5Uzp8/r5w9e1a5++67\nlSVLlii5ubmm53zzzTdKs2bNTF/n5+crBQUFyptvvqmkpKRoMWxNcc7MxzkzH+fMfJwz83HOzMc5\nMx/nzLawK4jKcnNz4ebmBkBW4n766ad48MEH0axZMzRs2BBbtmxBkyZNEBgYCIPBgLCwMGzduhXf\nffcd1q9fD0dHR4SHh+POO+9Eo0aNNP5urINzZj7Omfk4Z+bjnJmPc2Y+zpn5OGe2i4sXVXLlyhU8\n99xzGD58ON555x0cPnwYbm5u6Nmzp2nFbXR0NLy9vfHrr7+iqKjI1N7G0dER69evR/v27REdHa3l\nt2FVnDPzcc7MxzkzH+fMfJwz83HOzMc5s30MrFVw4MABDBw4EC4uLpgxYwbOnj2LDz74AN7e3qhf\nvz7279+PU6dOAQCGDh2KlStXwsXFBQCwaNEiBAcHIysrC1OmTNHy27Aqzpn5OGfm45yZj3NmPs6Z\n+Thn5uOc2QeWgqggPz8fvr6+mDJlCm677Tbo9Xr8/vvviIqKgoeHB7Zv347CwkJ06dIFgYGBWLNm\nDXr16gUfHx907twZgwcPhrOzs9bfhlVxzszHOTMf58x8nDPzcc7MxzkzH+fMPjhpPYDaICgoCE2b\nNjVtG+ru7o5jx44BAHr06IGzZ89i2bJl2Lt3L06dOgUPDw8EBAQAQJ19k3POzMc5qxrj/ACcs6ri\nnNUM56xyRUVFpuwpwDmrKv7ftD/MWJvB2FRdp9OVe7MDgIuLi+nrbdu2Qa/XY/DgwQCANm3aoHfv\n3sjOzkZwcDDefvttODnVjc80er0eJ0+ehLu7O5ycnMrNG+fs5vR6PQ4ePAhvb+9yv4gAzllF9Ho9\n1q5dC39/f7i5uaGkpITvs0ro9XrMnz8fISEh8PDwKPcY5+zmiouLMX36dHh5eZkCFiPO2c3p9Xq8\n9NJLSElJQffu3fl/swr0ej02bNiAxo0bw93dHUBpgM05s32c8SpatGgRPvroIzz99NN46qmnbgis\nAQm8HRwckJaWhm7dugEA1q5di44dOyIoKAiTJ0/WYuiaiYuLw7x58xAWFgaDwYC1a9dyzioRFxeH\n+fPno3Xr1igpKcG6devg4FB+KQTn7EZTp07F559/jtdffx3jx4/nnFXi448/xrJly9C2bVt4eHiY\n5qcszll5O3fuxMSJExESEgJ/f38UFxffkAXknJX3ySefYNmyZUhLS0OLFi0wceJEvs8q8fnnn2Pm\nzJlo3bo1Fi9ejHnz5iEkJKTc707OmW3j4sUq2L9/Pz777DM88MADSExMRFZWFhwcHEwZbCPjD4zD\nhw/j1KlTiIqKwooVK27IOtZ2JSUlWLlyJZYvX474+Hh8/fXXOHv2LJYvXw4AMBgMpudyzkp9+eWX\nWL58OZYvX45169bhjz/+wI4dOwBItsKIc1bK+F7y9vbGqFGjcODAARw5cqTcYwDnrKwNGzbgqaee\nwieffIJPPvkE7u7upvnh++xGxp/zycnJmDBhAuLj49GiRYtymUDjvHHORFFREd577z188cUXWLhw\nIY4fPw5vb29T2UJZnLNS6enp+Oyzz7BmzRps2LABFy9eRGpqKgD+37QrVu6bbTcuXrxY7uvk5GTl\n3LlzynPPPae8+OKLFb4uOztbady4sdKzZ09l5cqVlh6mTSk7ZykpKcrJkydNXy9ZskSJjo6+6es4\nZyI/P9/09zNnziiDBg1Svvrqq3L3G3HOynv55ZeV1157TXnttdeU119/vdxjxi16OWelwsPDlYSE\nBMVgMCizZ89Wvv32W77P/ubvczZs2DBlxYoVil6vVyZMmKDMmjVL+fXXXxW9Xq8oCt9nilJ+zi5c\nuGD6+/79+5WYmJgKNyLhnInMzEzlzjvvVDZt2qQUFRUpAwcOVBYuXKicPXvW9By+z2wfa6xv4tVX\nX8Wzzz6LrKwsnDt3Dh06dEDjxo3h4eEBT09PrFmzxnQ50GAwlLu05eHhgUaNGmHhwoUIDw/X8Luw\nLuOcnT59Grm5uejTpw88PT1Nc/P111+jTZs26NWr1w1lNHV9zrKyspCTk4POnTtDr9cjMzMTQ4cO\nRUhICLZu3YpDhw4hODi4XBN/zpnMWXh4OAoLC5GYmIgnn3wSfn5+2Lx5M5KSkuDs7IxWrVqZ3muc\nsyxkZWWhU6dOaNu2LQYPHoyEhAS0atUKX3zxBY4cOYLg4GD4+PiYXss5y8KZM2fQsWNH6PV6fPXV\nV/jqq6/QoUMH5OXlYdu2bSgsLDTNjU6nq/Nzdvr0aeTk5OCOO+6AXq+Hg4MDmjVrhlmzZqFTp05o\n06ZNuTprgO8z4+/NHj16wMXFBV999RWeeuopDBgwAH/++Sd27twJLy8vBAYGAvj/9u40qKnr/QP4\nNwYUFRHaCqOBglQExRhAFOoMEVSWAFI3FKcdpGhFp25tERzr3nE6akVfuBTH1q3UqliXqohWQWUs\nuIAwKiIdQRaXIiXCoIWYPL8XlPsXA8j9Fw2Y5/OK3Jxz78k3J+Tk5ORe4+5nnYKhR/YdzW+//UZ+\nfn5UWlpKJ0+eJBsbG/rzzz+F+9VqNX377bcUFRUlbNNqtUREwsyFsWkus8LCQiIiqqurIyKimJgY\nOnz4sF5dzkw/M51OJ1yKtqysjEJCQigjI0Oo29jfjE1zmTXOgH3xxReUm5tL27dvp3fffZdcXV3p\nwYMHRNSQF2fWkJm1tTXdvn2biIgSEhIoLy+PiIhKSkooODiYLly4INTlzP6vn929e5cKCgpo0qRJ\nNHnyZCIiqqmpoY0bN9Lq1aupvr6eiDiz5t43NRoNERGtWbOGFi5cqFeXM9N/D/jhhx8oNjaWiIgq\nKipo/vz5tHPnTiJqeH8w1sw6C15j/S/6d/2SRqPBsGHDYGtrC5VKhejoaMTHxwvlevXqhYiICAAN\nnzbj4+NRWloKAMLVjYxFa5ktXrwYAIQ1X4WFhRg5ciSuX7+Ob775Bk+ePAHAmTWXmUQiQe/evQEA\nMpkMFhYWqKqqEvbx8o9/3navyqy+vh4ajQbh4eHYuXMnVqxYgdGjRyM9PR1AQ16cWUNmM2bMEPrZ\nwoULIZfLAQB2dnYwNzfnfgb9zKKiorBkyRI4OjoiICAARUVFePjwIczNzVFZWYnu3bsLP2LkzPTf\nNxvXonfv3h0WFhYAmv/9g7FoLbO4uDihnE6nw9OnT/Hee++hrq4OdXV1ABreH4wts86Gn51/NX4t\nVVtbi8rKStTX1wMAvvnmG+Tn5yMlJQVAwz8BExMTXL9+Hd9//z3s7Oxgb29vsHYbUlszu3HjBtRq\nNb766itER0ejX79+wsDR2LQ1M51Oh4cPH2Lu3Lm4d+8eFAqFwdpsaK1lduvWLVy7dg0TJkzA8uXL\ncenSJcybNw/u7u6ws7MzZLMNqrXM7ty5g5SUFKHMi/3Mzc3NYG02tJYyW7NmDXJzc5GWloZZs2Zh\nzJgxmDNnDmbMmIGUlBR4enoastkG1db/ZwDg5OSEHTt2ADC+CZUXtZbZ7du3kZ6ejmHDhqGiogJf\nfvkl5s2bhytXrsDDw8OQzWZiGG6yvGNpXJJQV1dHHh4edPLkSeG+bdu20ejRo4Xb06ZNo7lz5wpf\ncRmrV2Xm6+tLRA0/XLGwsKBly5ZxZm3sZ5cvXyalUklxcXHC18zGqrXMNm/eTAEBAYZqWofV1n6W\nn59PSqWSFi1axP2slcy2bt1Kfn5+wu2srCxKTEzkzES8bz59+pQ2bdpEOp1O+AGeMWotsy1btlBg\nYCAREd29e5dWr15Na9asMfp+1tkY/Y8XU1NTYWNjAzMzM+HKUCYmJtixYwdGjRqF3r17o2fPnigt\nLYVSqYSpqSmCg4MRFhZmtF/HiMksKCgIEokECxYsQGhoKGf2isxKSkoQGBgICwsLTJkyBWFhYUY7\nu9OWzHr16oV79+7Bz89P6FsvnyvdmIjpZwEBATA3N0d4eDj3s1dkZm5ujrKyMvj6+kIqlcLW1hbD\nhg3jzNrwHuDn5wepVApTU1N4e3tDIpEY5Wu0rf2suLgYfn5+6NOnD5RKJZRKpdH2s87KqAbW1MxF\nXWJjY1FSUoJRo0YJL3gPDw9kZWUhLS0N5eXlWLduHWQyGUJDQwEY16VB/0tm/fr1Q1BQEMzNzfWu\n7PY2a4/MunXrhu7duxvoEbx5//W1GRwcbHRv2P+1n6lUKpiamnI/E9HPQkJCjKqPAe332jQm7dHP\nAOOeJOjMjGJg/eIp8err63Hy5Ek4OzsDAGpqatC1a1dh9qGxrLe3N6ytrXH06FGMHj0ay5cvN+RD\neOPaI7MVK1YY8iG8cZyZePzaFI/7mXjcz8TjzMTjzBiAt3uNtVar1VvLVVBQQNbW1nTgwAF69uwZ\n7dq1iyIjI4mo6anfGusZ21owzkw8zkw8zkw8zkw8zkw8zkw8zoy96K1c8FpTUwOg4QweEokEZ8+e\nxaRJk5CYmAgzMzOkpKTg0qVLiI+Px9SpU5GdnY379+83WcfU+BWMsXwVw5mJx5mJx5mJx5mJx5mJ\nx5mJx5mx5rxVA2utVouff/4Z69atE05hs2fPHixatAghISGoqKiASqWCm5sbvvvuO+Tk5CAuLg4O\nDg5Nzt9qTDgz8Tgz8Tgz8Tgz8Tgz8Tgz8Tgz1pq3ZmBNRJBKpZBIJHjy5Al+//13AEBJSQni4uIQ\nHR2NpUuXwtnZGfPnz4dUKsWePXvQtWtXpKamGrj1hsGZiceZiceZiceZiceZiceZiceZsVfp9APr\n48ePw9vbGz/99BMAIDQ0FH379sXFixdRX1+P+/fvIysrSygfHx+PgoIC1NTUwMHBAatXr0ZlZSVc\nXV0N9RDeOM5MPM5MPM5MPM5MPM5MPM5MPM6MtVWnPyuIWq3GqlWrcPPmTWi1WlhbW2Pw4MHIyMiA\nTqfDtGnTMGvWLISEhMDGxgZnzpyBmZkZgoODATScOq9bt24GfhRvFmcmHmcmHmcmHmcmHmcmHmcm\nHmfG2qrTD6xlMhkePXqE6upqqFQqzJs3D8OHD4dGo0FhYSHGjh0Lc3NzJCUlYdeuXTh//jyioqLg\n5ORk6KYbDGcmHmcmHmcmHmcmHmcmHmcmHmfG2kpCRGToRvxXVVVVsLe3x507d5CdnY2jR48iJycH\ngwYNwqhRoxAdHQ21Wo3z58/jo48+MnRzOwTOTDzOTDzOTDzOTDzOTDzOTDzOjLWJoc7z196WLFlC\nSqWSiIhqa2tp/vz51KtXL1IoFFRcXGzg1nVMnJl4nJl4nJl4nJl4nJl4nJl4nBl7lbdixrqRvb09\n1q9fjylTpkCn0yEjIwMSiQQ+Pj6GblqHxZmJx5mJx5mJx5mJx5mJx5mJx5mx1rxVA+tffvkFkZGR\nwnkl2atxZuJxZuJxZuJxZuJxZuJxZuJxZqw1JoZuQHuKiIjAX3/9BZ1OB4lEwlcyagPOTDzOTDzO\nTDzOTDzOTDzOTDzOjLXmrZqxZowxxhhjzFA6/QViGGOMMcYY6wh4YM0YY4wxxlg74IE1Y4wxxhhj\n7YAH1owxxhhjjLUDHlgzxt6YyspKuLu7w93dHX379oWtrS3c3d3Rq1cvzJ0797Uc88GDBwgMDGyy\nrbi4GHK5/LUc7/8rMTERe/fufW37v3DhAjw8PGBqaopDhw41uS8+Ph5yuRxyuRwHDhwQtiuVSuH5\nkslkmDBhAgCAiDB//nw4OTlBoVAgJyenxeO2VC46Oho2NjavfB5OnToFFxcXODk5Ye3atcL2gwcP\nwtXVFVKpFNnZ2S3W3717NwYOHIiBAwdiz549wvaioiJ4eXnByckJERER0Gg0HbI+Y6yTMeDFaRhj\nRmzlypW0YcOG136cH3/8kRISEppsKyoqoiFDhrT7sTQaTbvvs70UFxdTXl4eRUZGUnJysrD9+PHj\n5O/vT1qtlmpra2n48OFUXV2tV3/SpEm0d+9eIiI6ceIEqVQqIiLKzMwkLy+vZo/ZWrkLFy5QdnZ2\nq8/D8+fP6YMPPqCioiKqr68nhUJBt27dIiKi/Px8KigoIF9fX7p27Vqz9SsrK8nR0ZGqqqqoqqqK\nHB0dSa1WExFReHg47d+/n4iIZs+eTdu2betw9RljnQ/PWDPGDIb+Pdtneno6xo0bBwBYuXIlpk+f\nDqVSCQcHB/z666+IjY3F0KFDoVKp8Pz5cwDAtWvX4OvrC09PTwQFBeHhw4fNHiM1NRUqlUpvu1ar\nxaxZszBkyBAEBgbin3/+AQBcv34d3t7eUCgUmDhxItRqNQDA19cX165dAwA8fvwY/fv3BwDs2rUL\nYWFhGDNmDPz9/fHw4UNhplculyMjI0Pv2IsXL4arqysUCgXi4uKEx71hwwbhWIsXL4aXlxecnZ2F\nfWi1WsTGxkIul0OhUGDz5s1tzsLe3h5yuRxdujT9t5+fnw+lUokuXbqgR48eGDp0KE6dOtWkTHV1\nNc6dO4fx48cDAI4dO4bp06cDALy8vKBWq/Ho0SO9YzZXrrFtPj4+sLKy0qvzosuXL2PAgAFwcHCA\nqakpIiIicPToUQCAi4sLBg4c2Gr91NRUBAQEwNLSEpaWlvD390dKSgqICGlpaZg8eTIAYPr06Thy\n5EiHq88Y63x4YM0Y63CKioqQlpaGY8eO4ZNPPoG/vz/y8vLQvXt3nDhxAhqNBvPmzcOhQ4dw9epV\nfPrpp/j666/19qPValFQUAAXFxe9+woLCzF37lzcuHEDlpaWwvKIyMhIrF+/Hrm5uZDL5Vi1ahUA\ntHohiJycHBw6dAhpaWlISkpCUFAQcnJykJeXBzc3tyZlKysrceTIEdy8eRO5ublYunSp3v4lEgm0\nWi2ysrKwadMmoQ3bt29HSUkJcnNzkZubi48//rjNWbREoVDg1KlTePbsGR4/foy0tDSUlZU1KXPk\nyBGMHTsW5ubmAIDy8nLY2dkJ99va2urVaalceXl5m9v2X+vfv38ftra2evX//vtvWFpaCh8yZDKZ\nsN+rV6/is88+M1h9xljn9lZdeZEx1vlJJBKoVCpIpVIMGTIEOp1OWCMtl8tRXFyMO3fu4ObNmxg7\ndiyAhgF0v3799PaVlZUFLy+vZo/Tv39/DB06FAAwbNgwFBcXo7q6Gk+ePIGPjw+AhpnE8PDwV7a5\ncVYSAEaMGIHo6GhoNBqMHz8eCoWiSVlLS0uYmZlhxowZCA0NRWhoaLP7nDhxIgDAw8MDxcXFAICz\nZ89izpw5woDMysoKN27caFMWLfH398eVK1cwcuRI9OnTBx9++KHerPa+ffswa9asJtvopWuLtfSh\no63lmvM6rmj3qn16enrC09PTYPUZY50bz1gzxjqcrl27AgC6dOkCU1NTYXuXLl3w/PlzEBFcXV2R\nk5MjzAy/vHwBAFJSUppdBgIA3bp1E/6WSqXQarV6ZV4cFJqYmECn0wGAsGykUY8ePYS/fXx8cPHi\nRchkMkRFRen9IFEqleLy5cuYPHkyjh8/jqCgoFbbJ5VKheUvL7ep8XZbsnjRy4O7JUuWICcnB6dP\nnwYRwdnZWbjv8ePHuHLlCkJCQoRtMpkMpaWlwu2ysjLIZDJs2bIF7u7u8PDwwIMHD1os15LS0lLh\nx5KJiYl69UtLS5vMAL9Kc/VlMhneeecdqNVq4flsqV2Grs8Y63x4YM0Y61BeHjg2x9nZGRUVFcjM\nzAQAaDQa3Lp1S6/cuXPnhJncthzXwsICVlZWwprmvXv3wtfXFwDg4OCAq1evAgCSk5Nb3E9JSQn6\n9OmDmTNnYubMmXpnzKitrYVarYZKpUJCQgJyc3OF47/qsfv7+yMxMVH4EFBVVQUXF5c2ZfHi43zx\nODqdDpWVlQCAvLw85OXlISAgQLg/OTkZ48aNEz7sAEBYWJhwhovMzExYWlrCxsYGn3/+OXJycpCd\nnY2+ffu2WK4ldnZ2wgeEmJgYeHp6orCwEMXFxaivr8f+/fsRFhbW7GNqTmBgIE6fPg21Wo2qqiqc\nOXMGgYGBkEgk8PPzw8GDBwE0nLmjcf14R6rPGOt8eGDNGDOYF9cUN/f3i2VevG1qaork5GTEx8fD\nzc0N7u7u+OOPP5qUq6iogJmZGXr27NnqsV++vXv3bixatAgKhQJ5eXlYvnw5ACA2Nhbbtm2Dh4cH\nKisrW2xveno63Nzc4OHhgQMHDmDBggVNjlNTU4Nx48ZBoVDAx8cHGzdubHY/zbVt5syZeP/99zF0\n6FC4ublh3759bcoCAK5cuQI7OzskJycjJiZGOM1dfX09lEolXF1dMXv2bCQlJTVZCrJ//35Mmzat\nyb6Cg4Ph6OiIAQMGICYmBlu3bm223a2VmzZtGkaOHIk7d+7Azs4OO3fu1KtvYmKCzZs3IzAwEIMH\nD8bUqVMxaNAgAMDhw4dhZ2eHzMxMhISENPvNhJWVFZYtW4bhw4djxIgRWLFihbBkZ+3atUhISICT\nkxOqqqowY8YMAA0/BG1cI22I+oyxzk1CbZkeYoyxTiYpKQnl5eXCWTcYY4yx140H1owxxhhjjLUD\nXgrCGGOMMcZYO+CBNWOMMcYYY+2AB9aMMcYYY4y1Ax5YM8YYY4wx1g54YM0YY4wxxlg74IE1Y4wx\nxhhj7eB/tRspCBDKQRUAAAAASUVORK5CYII=\n"
}
],
"prompt_number": 9
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Map coordinates\n",
"\n",
"If two coordinates are plotted against that are mappable (longitude vs. latitude) then they will be plotted as a map. The following is a map of the path of the trajectory:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plt.figure(figsize=(5, 5))\n",
"qplt.plot(cube_t.coord('longitude'), cube_t.coord('latitude'), 'r-', linewidth=2.5)\n",
"ax = plt.gca()\n",
"ax.coastlines()\n",
"ax.set_extent([-15, 50, 30, 80], crs=ccrs.PlateCarree())"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "display_data",
"png": 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2Ghp4lJUl0CUmLBYLEhISIl9DVlBQAAcHByxduhQ//fRTi8vLysoCm82Grq5u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\nqcAsKxoY3F8AAAAASUVORK5CYII=\n"
}
],
"prompt_number": 10
}
],
"metadata": {}
}
]
}
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