Created
February 16, 2015 09:04
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North Polar Stereographic Extents
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{ | |
"metadata": { | |
"name": "", | |
"signature": "sha256:b8d35a728b2d627ded83ac06d2d7cdca4b5b73c1cc4f2cd2d7295c358fa0a809" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"%matplotlib inline" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 1 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import cartopy.crs as ccrs\n", | |
"import matplotlib.pyplot as plt" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 2 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"You can set the limits of a projection using the ``set_extent()`` method:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"ax = plt.axes(projection=ccrs.NorthPolarStereo())\n", | |
"ax.coastlines()\n", | |
"ax.set_extent([-180, 180, 0, 90], crs=ccrs.PlateCarree())" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": 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SbGaOjx8/Ql1dHefOnStTTmpqKkaPHg0lJSVs3bq10hext2/fol+/fli6dCkY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\nGlXn/+slrn1sulA4AAAAAElFTkSuQmCC\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x7f85b5ab5250>" | |
] | |
} | |
], | |
"prompt_number": 3 | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"Your example used a \"global\" extent because your cube has global extent, this can be forced with ``set_global()``:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"ax = plt.axes(projection=ccrs.NorthPolarStereo())\n", | |
"ax.coastlines()\n", | |
"ax.set_global()" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": 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SokULlrR2xHEc1a9fn2bPnk0KhYIOHTpERPnLc/j5+b10O71eT6GhoVS7dm0K\nDw8vlLSurq6FJkT7448/Cp6z9vD1rbfeIgC0f/9+0unYGZO9xcXFkUKhSH1ZYhbVjdHZyanIvhdM\nKZ04cQI3b97EZ599Bq1Wi27dugHI7/MbHx//0u3Wr1+PJ0+eoHr16s/18zWZTPDx8Sn43dvbGwMH\nDgQANG3a1Ko4Hz58iCZNmqBbt26QyWRWlcEUn7OzM4jopclXVNLqdDqdHUJiAODUqVNo27YtnvU4\na9myJUJDQ3Hv3j3UqVMHwPPrwwLAjh078O6770IkEuHGjRsvLNtgMMDf3x+PHz9GcHAwkpKSAPy1\n6vuLyi3K6tWrERsbi5gYq66NMCWk0+kgEokML3u+qKTV6nQ6NsLHDvLy8tCyZUsA+Suw+/r64uTJ\nkzh37hzq1KmD119/HQDQr18/ZGRkFJrFsGrVqujRoweCgoKQnZ1d8HjDhg0BAOnp6QDy15KtUqUK\nJkyYUKjuZ68riaZNm2L9+vXo378/srKySrw9UzJPk9aqlbb9q1atyiYpt4OjR48SAHrnnXfo4MGD\ndOfOHcrOzi40V/DatWtp3Lhxhc5Xjx07Rm3btqXLly/To0ePCh5/dhtmzJgxFB0dXXBv1tXVldav\nX0/3798ngUBQ6ivIvXr1ovbt29OPP/5ICxcupKFDh7KBAXZw8OBB8vDwOGdN0lZVKpUGvt9AebZq\n1SoaPnw4denShQYOHEh79uwhIqIdO3Y8NwnaswSsX78+BQcH06NHj4jjODpy5Ah9+OGHz3VTXL16\nNdWuXZuSk5PJ2dmZPvjgA5oxY0bB80REeXl5BdOd4mmf49JISEigefPmka+vb0GZS5YsKVWZzPN+\n+eUX8vT0PPKyxCzy8DgnJ4ddibLSwYMHMWnSJKjVahw8eBAA0LNnT1StWhXfffcd6tevDyB/2lEA\nGDlyJABgypQpuHbtGnx8fCAQCNChQwcsXrwYubm5hcqfMGECBgwYALPZDLPZjOPHjyMxMREAsGHD\nBgDA8ePHcf/+fdSsWRMA8PXXX5f4feTk5GDx4sXYuXMnzp8/D3d3d/Ts2RNA/rnulClTSlwmUzSt\nVguO455Ys61AIBBwFouF7y+ecmft2rXk6elJhw8fLvR4RkYGLViwgObOnUs3btygAQMGkFQqpYyM\nDBo9ejQBoLlz5760XI7jCroPAijo9ZSQkEAcx9Hp06cJAHXp0oWIiN5+++2C144aNeq58n788Ucq\narz0yZMhjiYqAAAcqElEQVQnCwYMREREULdu3Wj06NG0aNEi2rdvX6l6cDEvt2rVKlIqlRusyngX\nF5ec7Gx2q7a48vLy6L333qN69eo919H/RebNm1fQbzc5OZkA0KRJk1653caNG+ny5csvfM5kMlF2\ndnah+7P42yHzM3q9vtBzBkPhM6EDBw6QXC6noUOHFpnYjO0tXLiQxGLxspflZZGHv87OzkadTueq\nUqmsSvrKJD09Hb1794ZIJEJMTAzUavUrt+nUqROA/MHrVatWRf/+/SEUvnryy2HDhr30OWdnZ/j4\n+BRcRX4mIiKi4Of//Oc/+OfSpaNHj8aWLVsA5N9qWrRoEZYuXYqxY8e+Mh7GtjQaDZlMppdepi8y\naUUikVGr1b669TFYvHgxXnvtNXz//fcQi4u3/vYbb7yBRYsW4dChQwCAdevWIS8vr1RxHD58+LmE\n7dOnD9avXw8AGD58ODZu3AgAGDNmDFq1aoXVq1dj9OjRAIDExET4+voCABo3blyqWBjrZGdnm4nI\nuk4Sbm5ucWfPnuX7aKFcCAgIoHPnzpV4u2vXrhV0EbSFR48eFQyXq1+/PnEcV6j7Iv52SLx8+fKC\nxy9dukQNGzYksVhcsCgWADp//rxN4mKKb+jQoXoALz3EKfJYTCgUPk5JSbEq4SuTzMxMJCcnIzQ0\ntMTbBgcHA8BznSCsJZfLC1ZqP3XqFJYvXw6hUIiIiAgcPXq04HULFy7EzZs3C35PS0vDlStXCmZR\njI6ORteuXbFr1y6bxMUUX2JiogXAY6s2lsvl3yxdupTvLx6Ht3z5curcubNV23IcRwDoxIkTNonl\nWed+FxeXgg4VRf37+4B7juMoNja2YGHn8PDwQntjpmz4+PhoAARZm/STRo8ezTpYvADHcRQfH08z\nZ84kDw8POnjwoFXl3Llzp9Dtm9ICQDt37qTmzZvTwIEDycvLi+Ry+XPJ+v777xMACgoKem5eqGeC\ng4NtdtjOFE9ubi45OTlZALham7RdmjdvXunv+WRmZpJGo6EjR47Q7NmzqXfv3lS1alWqWrUqTZo0\nqVQTmWVkZJBUKqUzZ87YJFaFQlEoOWvWrEkAaMiQIRQbG0s+Pj4E5C9P+Wx+JwAUHh5Op0+fJpPJ\nREREOp2OnJ2dqXv37vTLL7/YJDbm1WJjY0mhUKRZm7AAUMvd3b3CDqDU6XQvXSP19OnTNGHCBGrV\nqhXJZDJydXWl5s2b07Rp02j79u107949m02vsnjxYho5cmSpyzl16hS5ubnR8OHDadOmTWQ0GomI\n6M033yxI3ubNm1NqamrBNjt37iyU5J6enjRkyBD673//W/CYm5tboTG6jP3s2bPH6qlmnhE6OTnl\nVoSBzxaLhe7du0eHDx+mc+fO0YQJE0gkEhXsderVq0eNGjWi0NBQqlGjBtWoUYP+85//0K5du+w+\nM8O3335LvXr1KlUZ27dvp7p169Ls2bNf+DzHcZSSkvLC2Ss4jqNFixaRWq0mNze3Qkm8bds2Gjp0\nKOtjXEaWLl1q9fSpBdRq9QNHH8mxf/9++vTTT+n+/fv05MkTunz5Mh09epR++ukn6tixI3l4eJCr\nqyv5+PhQmzZtKDAwkKZMmUIpKSn04MEDunnzJl2/fp0uXLhAZ8+epXv37pXZFCo3b94kLy8v+uGH\nH6wuY8mSJVStWjXatm0blabbaW5uLu3du5d2795NAQEBNH36dOI4jvbu3UsdO3a0ulym+EaPHm0E\n8G6pktbDw+Pg9u3b+X4vRJS/R7h+/TrNnz+f+vbtSwMHDqRPPvmERo0aRQ0bNiQ3NzeSSqVUr149\nAlCo7+3u3bv5Dv+Fno3MeXYuWVKHDx8mqVRKt2/ftnFkf7l79y7VrFnTbuUzf2nevHk2gK5F5eQr\n+8zpdLpLt2/fLtlUBzZGRFi9ejUCAwPRrVs3JCUlYeDAgejTpw8yMzOxadMmjBgxAo8fP4ZOp8PJ\nkycBAJs3b4aPjw969OiBVq1a8fkWXupZXEVNL1OUxMREjBkzBgEBL10ZsdSys7PB1nQqG/Hx8U4A\nYktbzsgBAwbwclJ7/PhxGjp0KHXv3p0aNGhAZ86ceeHFn4cPH9I/BzZoNJpyMwrlk08+oXHjxpV4\nu8zMTAoKCqK1a9faIaq//PDDDzRw4EC71sHkD+JwcnIyAxAVlZCv7p0OxF6/ft1S2swvqb1792L4\n8OFo0aIFhgwZghMnThSsQv5Pvr6++OegBoVCUazO947A19cXa9aswZMnJRtCefnyZdy4cQMjRoyw\nT2BP5ebmvnDlPMa24uLiIJfLkwEU2QG9OIPcr8bFxUlzcnKK3RG+NHQ6HRQKRUHn+44dO9q9Tr6N\nHz8eFy9exODBg/HLL7/A1bV499W9vb2hVCpx//59+Pn52S2+J0+ewGJ58fe2yWTCtm3bEBoaipCQ\nELvFUBmcOXMGAM6/6nXF2RVpZDLZ3acF2hURYdy4cQAAs9mMDh062L1OR/HVV19Bq9Xil19+KfY2\n9evXx4QJE7Bw4UI7RgZUr14djx+/uCtsdnY2hg8fjoYNGyI4OBhms9musVRk+/fv12dnZ++xSWES\niWTZF198YfcTxJUrVxasCLdmzRp7V+dwVqxY8dwKAa9y8eJF8vb2tuvykvfu3SOJREIvu4sAgN59\n910CQFu3brVbHLZkq26jtsJxHLm5uekB2OyQKbx58+Z2XdcnOzub3N3dKTQ0lLy8vOx+nzQlJcWu\n5Vvj8ePH5O7uTjExMSXa7uuvv6batWvTTz/9RF9++SX99NNPtGzZMmrRogVVr16dli5dShs2bHhp\nH+Pi2LBhAykUCpozZw4lJSUVem7gwIEUFRVFv/76K/n6+j53UdDRfPHFFzYdDmkLsbGxJJPJMgDY\nbNpipYuLS+6zbnH2sHDhQoqMjCS1Wk3vvvtuqcrau3cvTZ06lf773/8+1/3uyZMnBSNh7H3VtaRO\nnz5NSqXSquRas2YNdezYkSZOnEhhYWE0ePBgOnToEB0/fpwCAgIIyF8YujQuXrxIAwYMoKCgoIIv\nPY1GQ56engVT0owaNYqmTp1aqnrsacmSJSSVSmnKlCkUGRnJdzgF1qxZQ2q1+mdbJSwAwM3N7dbR\no0ftEjDHcVS3bl2KiYkhoVBI/fv3pxkzZtD48eMpPT290Gv1en2R68mkpKQUrJA+cOBAatasGZ0+\nfZqmT59OY8eOpffff5/q1KlDH3zwAX3wwQdkNpvp999/Jz8/vxcmS3Z2Nq1atcouyzjqdDpas2YN\nRUZGkpeXF3l5edHPP/9s83qI8gfbV69evdTlcBxHM2fOpJCQEEpLSytYOS8jI4OI8hfH9vT0pGvX\nrpW6LnuYOHEiCYVCCgkJoaioKL7DKfDWW29pAYy2adLa87z23Llz5OfnRzk5OeTm5kZisZi8vb3J\n3d2d3N3daffu3cRxHG3cuJG8vb1JLBZTjx496PLly3TlyhU6ffo05eTkr3+9cOFCGjNmDBHlT7TW\nqVMnatCgAX300Ue0ZMmSglEwv/76K1WpUoUCAgKoUaNGJBaLX9hv99mKc8/KtxWO46h3797UsmVL\n+vLLL+nhw4d2Xd/1xIkTVKtWLZvUwXEc9e/fv6A/8scff0xVq1alP/74g4iIvvrqK2rTpo3D3if/\n888/afLkyQ4zCOJv57N1bJq0sON57bJly2j8+PFElJ9o165do/Pnz9ORI0eoRo0aJJFIqE+fPhQa\nGkpnz56l3NxcmjVrFtWpU4eCg4MpODiYAgICaN26dRQREVHk4Vl6enrB2NeHDx/Szz//TBzH0f37\n96lKlSp07NixgtempqZSs2bNCmb3L46rV6/S6tWrKSoqiu7fv//C1zx58oQiIyOpTZs2VndfLCm9\nXk8tW7akt956yyaNdfLkyfTFF18U/P7s8Jwof3BGq1atHO70w1HZ43z2Gbud127atOmlV01Hjx5N\nKpXqhdN8/t3u3bupT58+NGXKFLJ2XqvffvuNPDw8aPHixbR3714aOXIk9ezZk8aOHVvk0DmO4ygv\nL49++ukn8vDwoLFjx9KgQYPIw8OD3nzzTTp58iQR5Z///fzzz1S7dm2KjIws1Xqx1jAajTR+/Hhq\n3rx5qfaCzy6Y/f1L6f79++Tk5EQXLlwgovy5n8PDw0sdc2Xw7bffklqt/snWCQsg/7z2zz//tHnQ\nS5cupbFjxz73+KJFi8jf358OHz5M169ft3m9L3Lr1i3q168fde/enSIjI+nOnTuUmppKVatWpQ4d\nOlB4eDh17tyZ/P39C352c3MjkUhEgYGBhaaNSUtLozVr1lD16tUpNDSUatasSWFhYbzeFsnLy6M3\n3niD5s+fb3UZu3fvLpgQ/e82bdpE3t7eNGHCBAoICGB72mLq27evDsAouyStRCJZOn36dJsvORAZ\nGUnff/99occWLVpEgYGB9PDhQ1tXZxWDwUA7d+6knTt30q5du+jq1au0a9cu2rdvHyUnJ5PRaHzp\n+eKjR49oy5YtxT7Etre9e/eSv7+/1Xvbjz/+mGbOnPnC5xITE+n//u//aP369WyF+GKwWCykUqkM\nsMP57DOvV6tWTWfrCybTp0+nGTNmFPyel5dHVapUsWuHgcrMbDZTq1ataNWqVVZtP2bMGOrRowcl\nJyfbOLLK59ChQ6RWq0s0qqekC2yd1+l0T06fPi174403Srjpyw0ZMgRdunSBTqdD06ZNUb9+fahU\nKtStW9dmdTB/cXJygr+/P/R6q5ZAxaJFizBlyhRUq1YNGo2GDdsrhXXr1hm1Wm3pZqp4FVdX1y/G\njx9v2/sflH9/9e233yaxWExffvklDRo0yNZVMH+jUqlK3SssPDzcoTtSODqDwUASiSQHQPWS5GCJ\nx66ZTKZNmzdvJlt3DPf29saoUaPg6+uLgIAApKam2rR85i+5ubkwGAzw9PS0ugwiAsdxqF27tu0C\nq2R2794NsVh8EUBSSbazZsBpvEgkin+25qottWvXDnXq1MG//vWvl44qYUpPIBDAycnJ6sNjADhy\n5AguXbqE8ePH2zCyyuW7777TZWdnf1PS7awaJa7RaL75/vvvDdZsWxSBQIB9+/YhISEBJ06csHXx\nzFPOzs7o2bMnxo8fD47jrCrDyckJKSkpSEoq0U6CeSo9PR3R0dHORFT8sZhPWZW0HMdt27dvn0ir\n1VqzeZFEIhHc3d2hVCqLfN2xY8fg6emJTz75BA8fPrR5HBVdVFQU4uPjrVodHsg/Kho9ejS2bt1q\n48gqhx9//BESieQAAE2ZVerm5nZk48aNvJ3E9+zZk7y9vemNN96gli1b8hZHeRYbG0ve3t60ZcsW\nq7b/5ZdfKCwszMZRVQ6NGjXSAOhpTe5ZPYlSVlbWt999953td7XF9PXXXyM0NBReXl64evUqxowZ\ng9zcXL7CKZfq1q2LvXv3YsqUKVYdJl+4cAHNmjWzQ2QV2927d3H79m0BgN+t2b40M5/tOnPmjFNy\ncnIpirBejRo10LdvX1y7dg3Lly9HVFQUiHid6bVcatq0KapUqVKwsHVJaDSaUl2Brqw2bdqU5+zs\nvA1A2c/NI5fL106bNo3XeTu2bNlCVapUoR49evAZRrn2ww8/ULNmzUrcrXHUqFH0zTff2Cmqislo\nNJJarTYAaFjmCftUbalUanT06UWYouXl5dHrr79e4kHhQUFBbKX4Evr66685tVr9J18JCwBQKpU/\nzZ071+aDCJiydeHCBfLy8qKFCxcW6/X3798nDw+PUq0dVNmYzWaqWrWqHkBrXpMWQLBKpTKU9dhQ\nxvYePXpEgYGBr1whj+M4ioyMpA8//LCMIqsYNm/eTCqV6kJpE67I5QeK6bFYLO6oVqtfa9Gihc1H\n3jNlR6lUonfv3pg4cSKMRiNat2793IoORqMR//rXv3D9+nVs3rwZLi4uPEVbvhAR3nrrLV1ycvIE\nAHf4jgcA3qhSpYre0eaSZazz6NEj8vHxoePHjxc8lpGRQVOmTCEPDw/q1KkTGzZZQrt37yalUhkH\nG0wpY6vFbk6ZTKYbrHdMxeDj44MmTZpg8+bNAICEhASEhYUhNTUVZ8+exaFDh9iwyRIgInz66ac6\nrVY7E/lLrzqMrrVq1dI56gx8TMncunWLANDYsWPJ19eX5s+fb9fZIiuyo0ePklwuT4JtTkdtU8hT\nd4no7aCgIM969erZsFiGD56enmjYsCGysrLQq1cvTJky5YUrFjKvNnz4cN3du3dnENE5W5Rn07+C\nUCjsV69evQ1Xr16Vl5dlJhnGns6dO4f27dtnGQyGagBMtijTlntaENFtk8kUWb16da/GjRvbsmiG\nKXc4jkPPnj31ycnJ0ziOs9myk7beHXIajWb4Bx98YMzKyrJx0QxTvkRFReHu3bv3LRbLWluWa9M9\n7VNJLi4udR8/fly/Z8+eJZ04jmEqhKysLPTo0cOo0Wj6AEi0Zdl2OfHUarUfbty4MffSpUv2KJ5h\nHN706dNNHMdtA2CTi09/Z7fLgU5OTuNCQkKWnjt3TsYuSjGVycWLF9G6dWut0WisDSDT1uXb4/AY\nAMBx3EWDwcAuSjGVCsdxiIiI0KekpEzlOM4uE53ZcxdYcFEqOzvbjtUwjOPYuHEj7t69+8BisXxv\nrzrstqd9KsnFxSUgLS2tHrsoxVR09rz49Hd2P9nUarVTo6KizOyiFFPRzZgxw8Rx3HbY4eLT35VJ\nvzQnJ6fRtWvXXnHlyhWpRCIpiyoZpkwdOnQIffr0yTYYDP4AMuxZl70PjwEAHMddMpvNzR88eFCr\nT58+7DCZqVBSUlLQvn17o1ar7Qvgur3rK5OkBYDc3Nx9sbGxY/z8/BQNGjQoq2oZxq7y8vIQHh5u\nSEpKWmE2m78rizrL8gaqRq/X9xo9erQxPj6+DKtlGPuZP3++5erVqzf1ev2nZVVnmY+1cnV1neLn\n5zf3woULUldX17KunmFsJjo6Gt27d9cYDIYg2PFq8T+V2eHxM3l5eadNJlP71NRU3/DwcHZ+y5RL\n6enpaNu2rVGn0w0kolJP1lYSfPQvJI1GM2j9+vXaXbt28VA9w5QOx3EYPHiwIScn5zuO4/aVdf18\ndQrO1Ov1fYYOHWpMSEjgKQSGsc6SJUvyTp8+fVev10/jo35e5w8Ri8Wf1K9ff3pMTIyMnd8y5UFM\nTAzCwsJ0BoMhBMB9PmLgdfhNTk7Of+7cuRM9ePBgo7WLGzNMWbl9+zZ69OhhzMnJGQyeEhbg4ULU\nP1Bubu5PiYmJvR49euQZHh4uYpOHMY4oKSkJLVu2NGi12skWi+V/fMbCd9ICgCU3N3f7rVu3BhGR\nsl27dmzwLeNQsrOz0apVK0NGRsbCnJycZXzH4whJCwA5ubm5O06fPj28SpUq0iZNmrDdLeMQjEYj\nOnfubHjw4MEmvV7/Ed/xADxfiHqBAKlUembr1q2q3r178x0LU8nl5eWhV69exuPHjx982q/YIS68\nONqhaKzBYOg6ePBgw4kTdhn0zzDFQkQYO3as6cSJE5e0Wu0AOEjCAo6XtABwJicn560ePXoYr127\nxncsTCX16aefWnbs2HFPo9F0g40mGbcVR0xacBz3e05OzrgOHToY79+/z3c4TCWzcuVKbvny5Wla\nrbY9AC3f8ZQrEolksoeHh+Hq1at8rp/EVBIcx9G8efPMMpksDUAdvtt/ueXs7DxUoVAYoqOj+f6b\nMhVYXl4eTZo0ySSXy+8C8OG73Zd7QqGwm1Qq1e/cuZPvvy1TAZlMJurXr59RoVCcB+DGd3t/FUe5\nT1skIoo3m82Hdu7cOdDb29uF3cdlbEWr1aJ79+6GkydPHtdqtV1RDs5hy0XSPpVosVh+/uOPPwZy\nHOfatm1bIevyyJRGWloa2rVrZ7h169bPT2/r5PIdU3GUp6QFgAyz2bzl7Nmz/R49eiTr0aMH66vM\nWOXevXto2bKlITk5+Su9Xv8uHOg+bEWlVigU5/r27WvMycnh+5SIKWcuXbpE7u7uBldX18l8N+TK\nRqJUKveHhobqHzx4wHc7YMqJrVu3kkwmM4hEooF8N+DKSigWi2coFArDr7/+ynd7YByYXq+nESNG\nGGUyWSKAUL4bLgO0kslkjydNmmRih8vMP12/fp38/Px0CoXiFwAKvhsr8xd3pVJ5ICgoSHfnzh2+\n2wnjADiOo++//56TSqV6FxeXsXC8UW0MAIGrq+sHMpnM8L///Y/vNsPwSKPR0IABAwxyufw+gGC+\nGybzak1lMlnSyJEjcwwGA9/thyljFy9epBo1augVCsUPAKR8N0am+JQKhWKnv7+/7uLFi3y3I6YM\nWCwWWr58eZ5UKtWJRKKhfDdAxjoCJyenUVKpVDN+/PicrKwsvtsVYycnT56kwMBAnVKpPAcggO+G\nx5Seh0KhiFKpVIZ169ZRXl4e322MsZHU1FQaOnSoUSqVZgoEgiFgF5sqnGZKpfJ648aNdRcuXOC7\nvTGlYLFY6KuvvuLkcrlBLpevBKDku3Ex9iN0cnIaK5FINO+8805OZmYm3+2PKaETJ05QQECATqlU\nngXAFjuuRDwUCsV6dshcfqSmptKQIUMM7FCYeV2pVF6rX7++9ueff2bJ64AeP35Mn3zyiVkulxtk\nMtkKsENhBvkT3L2lVCpv1qpVS7dhwwbKzc3lu61Weg8fPqR3333XJJFIjAqFYhOAunw3FMbxCAB0\nUalUZ7y8vPQrVqzg9Ho932230rl9+zYNHTrUKBaLDTKZ7CuwOZuYYmqhUqkOqlQqw5w5cyzsHq/9\nnT9/nnr16qWXSCRasVg8B4AH342AKZ+ClUrlj1Kp1Ph///d/uYmJiXy37QqF4zg6cuQItWvXTiuV\nSjNdXFw+BCDn+4/OVAy1FQrFWldXV0ObNm00UVFRpNFo+G7z5dbNmzdpxowZlqpVq+oUCkWCSCQa\nC4CtLM7YhRTAQDc3tyNisTinb9+++j179rALV8WQnJxMS5cu5erXr6+RSqVZMplsJYAmYLdumDLk\nKRQKJ7m5uV1VKBTGd955JycmJoY4juM7PxyGVquljRs3Ups2bTSurq4GlUq1HUAXlL9JBZkKyM/V\n1fULpVL5qFq1arrp06dbjhw5Qkajke+8KXOJiYm0ZcsWeuutt/RisTjHzc3tTwADwYbJ2QQ7LLE9\nAYCmEolksFgsDtfr9X4NGzY0RkREyDt27Chs0aIFxGIx3zHaVFJSEo4ePYqDBw/mHDhwwJKRkSGQ\nSqWnsrKyfiKiHwGk8x1jRcKS1v6UAFpLJJIuYrG4h16v92vUqJExPDy83CZxcnIy/vzzz4IkTU9P\nF8pkspjs7Ow9HMcdAXAVbB5hu2FJW/b+nsTher2+jr+/vyE4OFgUEhIiCwwMFAQEBKBu3bqQyWS8\nBUlESElJQWxsLGJjY3Hz5k3L5cuXDTdv3hRmZmYKZTLZqadJ+gdYkpYplrT8UyJ/pEqAq6trfblc\nHpqXlxeg0+mqKxQKs7+/v7lBgwYuDRo0kAQEBMDb2xtyuRwKhQJyuRxyuRxOTk7FroyIYDKZoNVq\nodPpoNVqodFo8ODBA9y+fZuuXLmiu3HjBpeQkCAVCoU5Uqn0fl5e3nWNRnOZ47jbAGIB3AKQZ5+P\ng3kVlrSOSwigBvJnYQiQyWQNxGJxIyLyzMvLk1ksFonZbJaYzWZXJyenPLFYbJZKpXkymYyTy+Wk\nUChgNpufJafQYDAIDQaDk8lkchYIBOTs7Jzj7OxsFIlEBqFQqANwT6PRXLRYLLeQn5hxALJ5fP/M\nS7CkLf8EACTIn89X/vT/Zz+bAeiQvxKc9unPOpSThaYYhmEYhmEYhmEYhmEYhmEYhimu/wdnpUzJ\nO3IDlgAAAABJRU5ErkJggg==\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x7f85b0398810>" | |
] | |
} | |
], | |
"prompt_number": 4 | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
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