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{ | |
"metadata": { | |
"name": "grouby_plotting" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"%pylab inline\n", | |
"\n", | |
"import pandas as pd\n", | |
"import cStringIO\n", | |
"import urllib2\n", | |
"\n", | |
"pd.__version__" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].\n", | |
"For more information, type 'help(pylab)'.\n" | |
] | |
}, | |
{ | |
"output_type": "pyout", | |
"prompt_number": 1, | |
"text": [ | |
"'0.10.1'" | |
] | |
} | |
], | |
"prompt_number": 1 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"content = cStringIO.StringIO(urllib2.urlopen('https://raw.github.com/geomando/code_share/master/OutageData_MasterList.csv').read())\n", | |
"outage_data = pd.read_csv(content)\n", | |
"outage_data_parish = outage_data.groupby('Parish')\n", | |
"\n", | |
"df = pd.DataFrame({ name: group['Outage Percent'] for name, group in outage_data_parish })\n", | |
"df.plot(legend=False)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "pyout", | |
"prompt_number": 2, | |
"text": [ | |
"<matplotlib.axes.AxesSubplot at 0xaf6ee4c>" | |
] | |
}, | |
{ | |
"output_type": "display_data", | |
"png": 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utcfUzgmgCl6SJMc/zZ8iq8sUTQExyVgzBxVDw9aiSadlgmcK3hHv/8P76Hmn\nx/LncS2yRtkPPhCLpsgcfGhEn5cQ1etd1wreBw+eKnhHi8bFkn06go95szGqSjg++CRNPAmeWTSu\ncOgnhwAAiSrrMFRozcZcWDTGFI0v3SQ9pGgC70UT9xw8Pa6kVfB6i8aqyBqkB+9o0Xj14BHvIqs6\nVg6BL9sXP4InRJ7Jmkoxi8YBH/7ThwDs1V+oE52itmjg5MHT+EIMJjopOXhK7NEpeE73FKEtsgY9\n0UkeSC5FY9kueIh58MO7yJrNynOjBYEpeLdwMbkocIuGRGfReM3Bx6EXjbYfvF+TvtzAqOCNRVYz\nBW+Vgy9+wQ99ioaOwQjPHnzMm43RwQ5Pi0aSZHL3Gjsbhhi7dCwA+8e8ULtJulDwgSy6rfyfd/hg\n524w0U900ubgBcF+lqavMCh47ZwAu5ikWZHVnxy8uxRNgk+oYzTDoMrBaxT88LNoRFG+orz21x6G\nIBnl/LhQ8KF48Po5K3kIfNFteIlJRq/gIcrnJFoFn6ND7dOEUwLUnyKruxSNRCTwnDwYOxUflAfv\nN7QePFPwDJag8Ug3Db5CWZN1kFg0celFQxV84PURLUwUfMEWTdFFVm+9aOyOqYt+It4EzywapuBd\ngaTdK/hQcvAOF2wgzcY0Fk2kvWg8ChJtiiZqD97Kogm+yOoyRSOJEDjB9pi6Iusgmsk6/CwaSvBM\nwTtCVfBx8OBdWDSBNBtDYe2CA1HwXkhFycFTiybKFI3WovEUkyy6yKrvReNKwVsc0+jBx5o5fNYZ\ndogfwTMP3jVImjgm/kLvRROyRaNbkxXu2wVH7cHHRcG7KbIGN9EpvxeNGVQFb3PMIIusfkP7mRye\nCp558K4gpSUIZYJrBR90LxqvFk1UM1l97UVTZA4+ag/e+ILZTFbLVgVFj1lv0QDWMUk3HjxrNpaP\neBI8U/CuIA1I4Ev5WHjwRCKuLJpAF90OuxfNEMjBy6SYn6Jxsmj8bTbmYNF49ODjruCHt0XDPHjX\nIGkCvoyPjQfvZNEEsui29qkgynbBRXSTjNaDdy6yhjXRyS8PPije9O0toimaYWnRUA+e45iCd4CU\ndq/gA8/BR9SqoNAcfNS9aLT94KP24KNd8MNDisatB+/zTFa6K792yXLwzKJxBTKgKPg45OAJiabZ\nGAqxaOKj4KOeyWrXiyacZmMeUzRuPHj4y5v0b/ftHjzsLRpWZHUFKS0NKovGSPCEFN8P3YtFo1fw\n8UjRRD/FZfRQAAAgAElEQVST1VzBu7Fo/FLwThYNnckalQfvt4KnqiQWFk1jYyNmzJiBadOmYfXq\n1Zbb/f3vf0cikcBzzz1X3IgGkYJ/q6sLl+3YEdnxSZqAL4lHkdWrRUPHVKxNU0gOPg4TnbT94KOe\nyar14Kl15mjR+FJk1adoBgbOwb33Ts7bjlo0rj14jou1gieSch1GreBFUcTKlSvR2NiIvXv3Yt26\nddi3b5/pdvfeey+uuuqq4i/UQVRkffHkSbx+6lRkxyciAZ+Kh4Kn3STdEjzgjw8vwbsHH5hF4+Ha\nj0sO3myikyRJmDsX+O1v5S2CneiUS9EQUopDh0rytqMWjZccfBAevO8WTQgzsmwJfuvWrairq8Pk\nyZORTCaxbNkyrF+/Pm+7n//85/jCF76A8ePHFz8iNtHJFdQbqek6m/rtwiqyQoBriwbwh+B1hdvB\nZNFocvBRd5M0s2jKy4Fp0+g2wcQkaQ4+97cT04+8NiYZhQcfFMGHsfKULcG3traitrZW/b6mpgat\nra1526xfvx533XUXAOvZaK5h48ETQpBlpC9Dguzj5SkyPeI20Ynm4AGfCB6F5eB9oYArrgD+9Cf5\n/wXm4OPgwdPrQpIkJJPJvPckqDVZ8xfdNtd0hbQqCMKi8TsmGYZFY73WG9yR9Te/+U08+OCD6t3I\njkTuu+8+9f8LFy7EwoUL8zey8eAfOHQIPzh4EMTs94YZdD5eDDx42qrAbbtgwJ+GYzqLxlMvmuIj\nmurCNMCg7Sap9Qmogk+n0/qxBtqqQJuicVDwDsfUxiT9PJ9+K3hdTNJkn01NTWhqavLlWLYEX11d\njZaWFvX7lpYW1NTU6LbZtm0bli1bBgA4fvw4XnjhBSSTSSxdujRvf1qCt4SFB98jivhrR4fz7w8X\n0Eq8BwUfRrMxLxaNL0VWolmTFW5z8ElIUn9Rx83DIM7BU7uKKvi+vj79UANrVWBM0ZifQlcxSe3Y\nEIyCD8uiMYrfVatWFXwoW4JvaGjA/v370dzcjEmTJuHZZ5/FunXrdNt8+OGH6v+XL1+OJUuWmJK7\na1h48P9j505s6+oqfL8BwO8WFZ4gKZaIQhRWCHPBDy+9aIAAiqyuPfgkCMkUddw8FBKTjMlMVmOR\n1cyiCaZVgbFdsIVFU0CrAj+v9EBiknHIwScSCaxZswaLFi3CrFmzcOONN2LmzJlYu3Yt1q5dG8yI\nLBR83Mg9ahCJyAreZfY8rAU/3NhFFH558F4JnueTkCSfCZ7+XS7PMSfEI0Ujvx85BU9TNLrfCahV\nQW4mq7wfnrewaNx48IYIbmQWzZYtski13SFCS9HYKngAWLx4MRYvXqx7bcWKFabbPvHEE8WPSFtk\nZQVVaygKnuPdkWpoFo2rHLoMv1I0bld0yj3NBKDggZzUpb687baIRQ7eqheNbouAWhWY96LJfy6O\nul2wa4uGEODii4E33wQuucRmM+U65CNO0UQCbZHVBSH17OlB99vdIQwsXqAKHrw73zsORda45OAD\nI3gPczfio+BzPoFdisbvVgW539XeccwVvEQkVx580DNZHd+i5mb5a0WFww4RHwUfOrQWjYsL6Ngf\nj0FKSxhRPyKEwcUIHhV8KB68C4IPIiYZCw8e8DZ3Q+E16sFns1n/x2Nz3Bw4RwUfTKsCmqDJ3fDt\nYpJeWhX4PZPVtQe/bZv81YtFE6UHHwk8TnQiIgn8JMURRCJqoSYOHjzN5dNjmm5iiEn68VShtWh4\nxy6CAXrwgKdCq7HZWFx60bjNwRdbZJVvKrx6PcjXqX1M0rUHD39nsrq2aLZvl7863axpimbYWjSG\niU62vu4wJXhtTDIOHrybFqhRWzShefAuYGxVEO1M1tz8FbP3JIhWBbkMPEAvGqeYZFQevGuL5uhR\n+asDwTvl4P1EPAneoODTdhe/aK9ghyqIRNSYZBw8eFXB21y0QaVo3BZZQ7Fo3J5jzaLbgb83Gpj1\noiFEUt8bs6eJYCY6aR75lIvGKSYZlQfveiZrb6/81aVF4xQr9gPxJXjNVdVjc8KiVPBR5+DViU4u\n+sEH7sEDjv01AlHwhBQQk0xBktI22xWIAhQ8jSZG3YuG2mdmk8+CmOgkK3heGQOn1GdgnqKhCt6L\nBx9FTJISvEuLBlzw4jR+BG/iwffanFmSJYE/5sQRqoJ32WwsSA9eG3Ozm7wRlxx8HBQ8nTMgiiKS\nyWTkvWhoAdytRdM10IVf/P0Xro+bOZ7B7mt3a16RNBaNfNE4TnTiOPcevOuROcNvglc/u8OyyGqi\n4HsdFHxo6idO0Cr4qC0arREepUWDwePB02ZjoihGquDpG0YVvNl7YmbRbD+y3dNhB9oH0LWtS71W\n5V5AeovGKibptlVBLCyaigpm0diCFlk1Cr7PTsEP0yJrrJqNEeVihb1Fk0qlMHLkSPV7X5qNebJo\naHIjQIJ3ecOiKZqoFTztReOk4I2n9dLaSz0dV+wSkT6SxpsT3gQgp2iogqfXjF+tCpzTVN7gWsH3\n9AAjRzKLxhYmCl4kBCnN45cOIoalReO12ViQHrwa2QRsLZobbrgBjz76qPp92Cs6xSkmSXsIRa/g\n5TfMTsGb/VkrL1oJgXMxY1eB2CXvM3OcnnetgpfHYJWM9tou2EHzeIYni6ay0hPBD08Fb/DgJQAl\nygSZUQn93KzhbNGozcZioOAL6fTkW5E1Lq0KBGEQKnj5DbNT8H4s+EEJnkKr4PUpmvwiq0Qkd+2C\nNddBJDn43l5ZwTtcA9pWBcOP4GmRVXNVSYSgVCH4KiPBD+Mia1wW/FDbFMBboyffi6yIuFWBF4JX\nUjRxUPCE6FM0xpuNHwt+iN1Ggs9P0ZhZNIQQddFtWw9e8zrv+CTnDa5nsvb2AlVVzKKxhUmzMScF\nH1lMkstXG6FBq+BdtAsOVMHnP227QlQrOsWB4Gn6KXoFn5vo5EnBa2agukG2y0h6EuSTAORSNPlF\nVolI4CBbjG49eOcbvTe4VvADA0B5uXuCj3pFp0hgZtGQnFagRE9BRDJsJzp5UfAAAvXgqYKPs0Wj\n9+DjkYOPXsFzOgXvtsgq/6YcW+RczAjJt2hyCt7OoqH+O2D/1OAtLusNrj14SQJSKfcpGs7+s+sH\n4qngjRYNgLNKSvCd2tp8b03EsEzR0Gii2x7sQcck3aRojAg7B5/z4BPwZck+Izx68HFQ8FRGes3B\nA94ajhkJXpuDt7NoaIKGbhdlisZxl6IoE7yXVgXD1oM3KPgEx+GL48fnnQ+SHaYxSeK9VUFgHrxI\nCrZoim42Bo1FA3cevOPssEIhCOjJZHDne+85bxuTHDxdn9ZrDl5+3X2h1UzBGy8aU4I3KngXs6Qj\ns2iogo+RRRM/grdQ8DyN+hne4OFq0WgnOkWt4Au1aPyISRZi0WjXIfUVgoCMKOLZjz923JQv4SGl\nJctVlIKCVTdJbS8atxaNl3YFRg/ePEWT78HrFLxbD55ZNCriSfCGiU4SIWofqzwFP5wnOsWl2Zim\nb1QUFo3XIqtjZbpQCAJ4SXJ1OfKlPKQ+KQYKXgAhomrRWKVoTBW8h6ikMUWjrcznetHkr+ikVfC2\nrQqgJ/ggYpL2lxaR/yWTscrBx7fIaqLgzZ5omIJ3p+ADnegkEtWDDztFo+2S4N6DFwJT8LwounqA\n4Ut5SP0SRC7qFE2iYIvGS1TSPgdvY9FoFLzbVgV+374zSuDK9i0iRD5RiYR7D35YWzRmCt7szjxM\ni6w6Be+im2SgC35IiCxF4817zVk0QXnwvCS5Uo98mULwsVDwWc+tCuTfLc6DN0/RGH5Pq+DtLBpP\nVp03pJXAlS3BU95KJGJl0cRPwZtNdIKNgo9wolMs2gUnOJBMtBaNuj4swrdovn/22Z67ScqTewKw\naHgenBcF3ydBFKJW8PJt0WurAsCbB2+WoqE5+JxFY+/Be4lJ+mnRDAwoI3ZL8KzIaoOeHqC01NKD\nN57j4dqqgDYb45IxIPgiLJpix1QhCCgXZAJwX2QN1qJxcz1GquB1XKv34D2laDx48LTISp/09Aqe\nWjT5HjydxQrIBC9KmrGtXSsPDsFaNFTB275FVJgKgiuCV9sFB3xfjx/B79wJzJ1rruBN1OFwLbLS\n6iKf5OWnGKvNQvDgdZMSQ07RaOHWg/e/HRUdgEcPXimyhqrghXwF7+TB26Zo3Hrw3SJmPj0To64Y\npbySn6KBSbtg24lOO3eq/w0yReO3RUOb83l52i0U8SP4/fuBmTN1z4VOCn449qKhk4u4BAcpY30C\nQutFE9FEJ93+4N6DD2qiEy+K7jz4Ur2CD5Xgs0aC13vwblM0Xic6JaoS6mdVm4PXr+hk+D2DRaNT\n8BoYPXi/LRrHSco0/ccsGgdks3KWVDMrUKfgjduLGLYWDXjEwqKJsheNbn8eLBqjKvjggw/Q3d1d\n5AAEcJLkSm8IZQLEPlFV8GFdw1xCv8SjMUVj9lRV7EQnaUDehi/jNQt+WKVorGOSAi9A1N6YNecs\naIumtNTBoqEK3qVFo8Ykh51FQ++EWoLXKnijRTNMu0mqCj4GBB9lLxrd/jwVWfWDrKurw9e//vUi\nByATPOAsOuKk4AF7D77YIqvYJUKoFAzOWP6KTk4xSYETIpnoRAneN4uG2qb8cLRotMUKo4IHm+hE\noSr4BBcLDz4OFo2Ts547F+YWzalTp4ocgJyicTN/RVtkDVPB5/tYzh68VYsdt0XWbFcWwghBl+Cx\nWtHJmE0zevBWFo1uvAFYNJ4Inil4G4hinoIXbXLwwzVFozYb86Dg49iLJhoFb96Lpuj2z8o1y3Oc\n4+eWL+VRdUlV+Ao+z6LJpWi8ErzbIqvYLSJRmdDdgc1SNE4evMC7U/CDyqIZdh689kRpLRo7BT8M\nc/C02Rif5F0XWf0ikb92dKDx5MncMYqwaPwkNvcevHkvc98IHvlWohGcwKF+Y334HrxFkVWSJEuL\nxlLBu/TgqUWjz+DnR6/ctAsWLYrjQU50GhgAysoCmOhkmJOQTh/BoUMP+jJmCkeCb2xsxIwZMzBt\n2jSsXr067+e//e1vUV9fj/POOw+XXnopdu3aVdyITBQ8vRRMuWOYzmTVTXRyYdH4SfCLd+3CYu37\nXGAvmrBjksHqPKjXrJcn76gVPFXPWovGOBZbBe/ivSZpAr6Et1TwbtsFx9qDp9ZyEa0Kjh79HT78\n8Hu+jJnCdiarKIpYuXIlNm7ciOrqalx44YVYunQpZs6cqW5zzjnnYNOmTaiqqkJjYyPuvPNObN68\nufARWRVZFR85LwefHZ69aGg00a1FE2ovmqiKrLCnbK3Ko5OdtKLdT4vG7U2OdpOMTsFzqoqnzcb8\n9uDNF6cxS9EQZwWv9eA175fx1u3nel2eiqweLBq66Iv6MvF/ERpbBb9161bU1dVh8uTJSCaTWLZs\nGdavX6/b5pJLLkFVVRUAYMGCBTh8+HBxI7IqssLc3h2uRVZVwUeQosk7mrEXTew9eATTj0YQAEny\nNI0qkhRNXu8iAaKYDcyDVwWAQcEbUzQ8T62z3O9qZ7K69eCDsGhcefA0B+/WojEs1kOIw42hANgS\nfGtrK2pra9Xva2pq0Nraarn9448/jquvvrq4EdkpeFi0KhjOCt6DRRPkRCfVovEQ/fI9RaMoOmv/\nW6/zjEmaohU8z+eKrG57tESQgzc+5nCcAEnKWk50siN4VxOdFI/VOUWTT/B5E51C9uBFURbkJSXB\n9KLR3mwlyf91gm0tGi8X/CuvvIJf/epXeOONNyy3ue+++9T/L1y4EAsXLszfyE7Bx6xVQeTNxjym\naEKxaCLMwQO5Dzdveu1qFXwA/WgK9ODDbFUAAXmCgOMEiGLGcqJTsUVWbedT8xx8rheN0abRTXTi\nBOuZrDA0G3MclTscOwaMHas+nFnDg0Wj2qaGthHUomlqakJTU5MPo3cg+OrqarS0tKjft7S0oKam\nJm+7Xbt24Y477kBjYyNGjx5tuT8twVvCrMhqo+CHa5GVfmjcpmiMHvz//b/AK68Ajzzi/dgjBAGd\n2Sy2nj6Ni0aOzA9ERGTRADkfPmnyM63KMysW+OrBu/yVsJuN5RdZc7NZC1HwrsatcLmVgs+laEwI\nvtCYpE/ns70dmDTJuh+PigJSNMY6P7VojOJ31apVBY7ewaJpaGjA/v370dzcjHQ6jWeffRZLly7V\nbXPo0CFcf/31ePrpp1FXV1fwQFSYWTTQKHjD5sO1yEqbjRWaojl6FDh+vLBDVyUSmFpWhlOKUtH1\nojFYNIRkkc2eNt1PEE8V9o/neg/ed4vGQ0ySIpJmYyYKXpIKUPAeiqyckO/B56douLy2CK5jkgjG\ng29ryxG83xZNvoL336KxJfhEIoE1a9Zg0aJFmDVrFm688UbMnDkTa9euxdq1awEAP/zhD9HR0YG7\n7roL8+fPx0UXXVTciMwsGq2Cj5FFQw8byUSrAloVaMfZ3+9wwdpAJAQpjsuJj/x6mYrm5vvw+utV\npvsJ0qIxh96iCaTI6nKiE0UkBG9SZJUk0XMO3nU3SXqt2ubg1U+TpQdvG5M0NhtzHpUrHDsGjBtn\n3Y9HRYEpGu1AJcn/FI3jgh+LFy/G4sWLda+tWLFC/f9jjz2Gxx57zL8R2Sl4xGuiE9F8DduPL7bZ\nWH+/85OkFURCkOJ5lUjzJjpphtPX96HlfqIkeLN+NL4oeEkyFSJWEEURpaWlyGT8V29mMHviM3rw\nbi0a1x48nensMJNVPr6hyOqyVUFQFg1N0PT1ecjBu2gXbLYaW+gpmkhgp+Bj1qqAGL6GCqqKCrRo\niiX4pPa90PaiiTBFA9hn4fU5+ABaBtMUDdxfE5Tgs9lsKCreTMHLFo2o5uAJ0X+mip7opAgAqxy8\nbNFIyntD9BZNAR68nxZNOi03t3XlwXtsFxy5RRMJvCr4bIQWjfKO+9nYyPWxPSp4Y5G1KIsG0Fk0\nul40MUnRmEMz5dakH42vvWg8KHhBEJBMJnUqvr8fePnl4oZjBvOYZAKSlFWvE6MYcPTgCQE2bND9\nrE8U8XJHh/yN9gNsmYPPefC2Ct6lB+/XrVJL8H5bNPlF1uFA8E4efN72Zi+GA3rYqBQ8OHjqRWP0\n4H21aHhzi8YO0XrwAVk0tMjq8lcowadSKaTTOQ92+3bgO98pbjjmYzSPSRKSVf9+Y6HV0YP/6CPg\nmmt0P/vPtjZc8fbbAHIxWu0i0/ocvKBYNiYEX4AH76dFQwnetQfvpV2wQcEHkYOPJ8FbKHjTVgUx\nsGj8vL+89Rbw3HMujk28T3Ty1YPXEqmmXmZsoGQHv5uNAfYEnx+TDCZFY2YlWkFL8EYF7/O9D4Bd\nkVWe6ATkvy+OHjxdlVqDAd10VOSlaPSVedlYy8UkNb9qtyarcTx0b1FZNF5TNHmtCkKe6BQJbGay\nGpWRSiRRFVmpgvXxBnPbbcDu3Q4XE1B0q4KgFLxx+rVd+dnvZmOAkwefBcfJl3wgCl75cHv14M0U\nfF9fQARvWWQtUMETYkrwGc21pu1FQ0+M/r1IqAo+z4O3W9FJA+1f5LdFU1YWkEVjcAmDWEYyngre\nYiar8elfvftFHZP0c58ud0Yk5THPQPCSlMb27Rdr9mfuwTumArT4xCd0H2KjB68VY05PFFqEbdEQ\nMgCOKwEQUEwymQQyGU8xSUmSVA9eS/BhKnhtkRVwr+DVVgXp/HhfRjsXQtOLJmfRZMHzSfX41CIq\n2KJBMCmaICwaKwUfBJHFj+DtFLzBoqFEEtVEJ8nw1Q+4JvgMAZfKt2hEsQunT2/R7K9ID54Q4G9/\nAzTrlYqEIMnzqg2hjUnGmeAlaQA8X6J8F4CCpwQPbzFJnufzLJpAFbwpwXtX8GqRtb9ffkHDgBmD\nRUN70dAPizyxiip4QVWvRosmI2WQElLyuFzGJJMch2yMLRqtB68nj+FA8A4KXnc+1BhHqCNUEYRF\n43ZX0oAEPsWbWDS0YZN+RwVbNH19eS+ZefCqRWMgeDvSjJLgA4lJelTwhBBVwRstmkAVfJ5Fk3BU\n8JKUf22qRdaeHvkFDbHpFLxkpuAz4Diq4HMWjVEpD2QHVIK3jUlq6isJjtPfYIqA6xSNlrcKbDY2\nPAjeScFrNh3WFk2agCvJ70VDSYtOmrDz4F1ZNF1d8tdsbn8Eskoyi0lGruBh58GnwXEpzZY+K/hU\nCshkZCvRxRtJF9ngOC7Pounrc+aJgmBygni+FKLYb6ngOc7colCLrL298gua38nojHTkPHg1JpnV\nELw2xSMr+IwkgRCCtJhGSUK+KbuNSSZ5Xn98C7i5wafTcidJVxZNAe2C9Tn4oU7w9AxynLWCN3h7\nQHQWTRApGq8KnvJU7hxQgk8rX61z8K64lRK8sjG127VKWTeTNS+GF2cFH4AHn067jknSAiuAcC0a\nww2Y58shigM6Be+mXYFaZKUEr7kjZY0KXjBT8Lkiay5FI38GRr7+OvolCQOiRsG79ODdWDTZbCde\nfTWBkyf/Yrud5xy8x3bB+pvtECT40wOncXpAaUZFI5KA7kRZrckatYKXIrRoSFrx4Dm9D0+VO+1r\nUbQHb1DwIiEQOE5PpJr5Q14UfNjNxowevO8xSa1F4+KNNBJ8VEVWni+DKPblerm47CipevAmBH9c\n23pB04vGTMED2iKrrOATCkmnxbTeg3eh4M0smuxpPel2dW1XhnwSdvDswXtpF5wXKR6CBF/1YBWq\nHlSaUdHHHMAyB69T8BEXWSNV8GlJXucS+qhkzprJKF+LtGhocdWG4LX94M2KeFaIVsEH0A9eW2R1\nsbmW4M0smsAUvCFWKwhlEMV+VcG77SipevCnNQINQL8k4ffHjqnbaXvRaBW8PkUjqjcYSdITfIkg\nv2duJzolTQj+9arX0fNOj/p9b+9e5ffsybggBV/gik6DnuDfe89hA1qoAHRXlGih4CMvsgZweM8W\nDWBQ8OYWTcFFVqNFQwkeGv1LJ7LAm4IPguDNPtwU+phkAP3gFYJ3O9HJScEH4cHzpTyktP7vlhX8\ngHcFTz349nb5BWXAuzWJKwC6XjTmKRptkTWn4DOE6CwaLykas2sgczL3VJHJnFDHYYeCYpIFFlkH\nvQc/Y4aLxxw7BQ8LiyaqiU70a1QWTYlCqiYK3mjRFOzBGxISImTbX2tDkGx8iqx2BC8reFpkDaAf\nvEbBuzkDUXjwfAkPqd9I8OWFK3hC5KbpgHqNfEBjkxSaXjTaHLyxyCr/Xyb4pJmCt5nodGYqhYbK\nSgA59Z8HzZ+dzXao47BDQTFJp86gFkXWIIgsdIvmL4aaRpLXrL1joeAlRTXm1mzMWQPa78MGJbhI\ni6zQ96PRWjSEEGzZsqU4BU8nONlYNFJGYxflEXy4RVZ7gk+HY9G4jElG4cHzJTykAaM6L0M22+9Z\nwasTnaiCVzboE0V8cfx4lCufZbUXjc6Dt49JWnnwOotG8z5/oqoKPzj7bADWKRotT2QyHeD5Uv8t\nGuUasANtM2JVZPWTz0In+KuusvmhnYJXLj5tFj7qImvkMclUvi1CVakkpXHy5EkcOXIEDQ0NhS/4\nQdWYjUVD0gRc0sqiCZngbSJyWotG2xjFtw+Ux4lOkXjwJRzIQH6RVZJyFo1bBa8WWU8qhUpFBPRJ\nEkYIQk5Fa3rRmKdo8mOSlOB1OXibNVm1sLzJa17KZjuQTJ7h2P/FtUVDxakLglfXU86LSfrvOUde\nZNWtCGOj4ClN6NZ+yeYuIC2OH1+Po0d/F9SQVahF1igmOjkWWdNIp9OYMGECampqdAqetg/xS8GT\nDDGtBzghiGZjzhZN/kSn3Hkp8n2kHjzkS3JNaytO2/ixdhZNYAq+1Nyikc+N+UQn+TWbIisVAcrf\n2m8geF0vGosUjTEmST14bQ7ebqKTFpYWTR7Bj/PXohEEdwRPLZq8ZmP0BPv3mQid4M8/X/+9bjao\nNiapOVFZIi8wAUDfrkDU74Pi3Xdvw759/zOYP8Bs7L7u0912uiKrjuBpkTWDdDqNVEpWP1oPnnK2\nJ4LX5OAF6NMqUloyfZpwQhDNxtwTfEotRNMxFD0WjUVDCMHX9u/HhpPWMTw7iyaoiU5uLBrXCp4W\nWfv6gIqKnEWjELwE+TNi3otGm6JJ5MUkqQefV2R1MTnJeA2o/KDTkj1IJEZFZ9FwnGWzMT9nWIdO\n8BUVuf8TQiASETzHIytl9RZNaalKLgOShJSiLkwtmrwTH4D0MYE6Dh/3WVCR1SIHn8lkVILXKniT\n1iHWMKgzUwVva9FYw2jRfP7zuUi1Jd59F9AsGWlEiueRVv4wsUfErqt2qT+TbQjlcV8ogyTJfxsd\nQ9FPE6lU3kQnu6c72qYAyLdoqIXmd3nJjOBliyat8+A9FVn7+4ERI3QWTRnP5yxmTS+aXN0sC2Mv\nGm03STMP3i4mqUXeTZ4+NejUchqCUG5r0fzud8A773ggeDpBE7BXT5YKnj59D2IFr208l5EySPAJ\npIQUMlJGb9GUlKjkkiYEJVoFr/w+EYm8Qo3hQxBW0TVSi8ZSwestmmRSVklaD95gq9vDwqLRkVja\nPLLphJKSEgwo+z95Eli/Hvj4Y4df+sMfgEcftfyx9sPdf6gfJ1/MKWhCcgpenp4v99mhxFo0wZtM\ndLLrakgbjQHmKRp5TMUNyQgri6a/vxclJYoVYmLRlJTkdwVWPfi+PpngNTn4MkFQSVrtRSMAIPLn\nVo5JmhdZjROdaIrGqR88RZLn9TNpM7knTQpJSkMQKmwVfEuL/NWVBz8wIJ8kwFnFa1I05s21BinB\nV1QYCF7MIMknkeSTyIgZvYLXXFF5Cl4Tz+OSZmuAhkTwEVo02iKrvh8NVaN6i8ao4JXlQ51htGgs\nPHgri8YuelhWVoY+hcmUxX9gTNjlgX7KfvAD0x9rCd54bG2KRlat/cqfOKD8if5YNNqnTLsp804p\nGnmb4oZkBJeSxYC2uCcI8vtQVlYGwNyiKSvL7zun8+C1Cl4UUcrzSNBrhPai4Tj1CUKfosmPSao5\neGrv+WAAABgBSURBVE2RNcEn5Cd9ByQ4TldoVxNm6dzfLNt19gRfWip/deXB9/XJJwlwTfBWi24P\nWotmxAj9352RMkgKydwbZ1TwygcvTeTuhXTAeQo+74YXroKPguDFXhFCubLkmYlFQ4i1RUMt04Is\nGph78HzSu4IvLS1Fv7L/E/K8EzV2bwk66IceMv2xluCJRgjIv6pX8JLUp/yJ/crP/VPw9AzYfVSd\nPHh5m+KGZATHcTLJa8iO58vQ39+PUoXRzBR8aWn+zZfjOJBMRr5oS0t1RdYynoegVfDKRLgcwdtb\nNFSFP/n5J3HpWZcCACpLKnNtTWyQ58Fnc0JEfU21aKwJnvK1K4umv19P8CY98nPHNl+yb9AXWUeM\nsFDwQlK2aIwKPp0GJAlpSUIJrfBrKuRUweczbDgE70aleYVri6ZXAl+ukKrmA5vz4Ad0Fo22yNrf\nD5SXF5migSEmaVlkdafg6YRZRw+efsroh8kAbUySxgGpJaGNScoKvk/5E80VfHu7/GjuGhoPXnRp\n0Wg9eGOKBgin0CoT/EBBCp7r65fJXTNFv0+S9ApeyrWT5kt5kAFikoPPmlo01SOrUZ4sBwCMKRuD\njv6O3ADU4qn+HOcRvK1FY620tQrescVMX5/+F+wUvDpbEDoFMOg9+DyCVxR8kk/KCn7qVODAAfmH\nHKd+YLQWTYUgoIfaBd0iEiMTeb1oQvPgqdfro1FaiIIXRggQu/UVeEnqy7NotB68JvRgD5cWjerB\nm/Qbt4JWwbsmeDroVMr0x9oPNyV29atmJqus4PUWjVG10gmarjFiBNDdDZ7j1EKv3bXhm4Lv6fFU\njTX68IJQjv7+fpXgzRR8WVm+guc5HtzAgPxDzRT91oEBlCkEn1VSNOpM5xIOUr+kS9FoY5LGHLwW\no0tHo6NPQ/B0jIaxGn9XVfBprVp2tmi0Cr6iwuHp0qjgLQieEILs6SwSVYm8ZmODPkWTZ9EoCj7B\nJ2QPHtBLJsWm0RZZRwgCuinZdIkQRgqRKXh6lF4fn6MNbTwsIfVKECo0BN9FLw5FaYu9tika1wTv\nIkXjJiZpdtMtSMHTE2RBaDqCV1Sq2EdvegMGD95ewdM/3TV3VlYCXV3gIatYwP7asCL4dFo+D66f\nsj796VwRwwX4Mh5ib27HsoJPqxaNmYIvLc1X8By4nIJXJO7hgQFsOnUKU0pLbS2aVOpM8LwcqaNF\n1vPOOw+pVCLnwRuIe3TZaJzs08ROLQieRiyJRoAA0K2b4KbIqhXkyltrDa2CtyF4qUcCl+TkxXoM\nRdZBb9FUVlooeGrRGKEYf2mNgq8UBHQ5KHjfCV6SgB07AE2HPO1Renwi+L4+uTHf6NHO24q9omrR\nCJUCsl308Y5aND15KRojwbt68DBaNMg9XaoxUZuYZO6izT9HWgVPedvRg6edCy0+QGYEr1XwOYsm\np+CtPPhTp6D83GFMFAoLcNAQvEsFr41J7tkDnHOOB4Jvbs67Nu2QGJVAtjNHbDxfhr6+dGEKnq5K\nrVg0fz99GteMHYv5lZU6i4YyDV8qE/zs2X9EZeV8ALki6x133IHKykrZg7dS8P3OCp5TBEjWQPA5\nG5M+QZTZNhujD4mC4ILgXSr4zMkMkqOVJxfLIusgJfiKCv3fnRbTaorGtDquKPgBTZFVR/BdIhJV\nieAV/HPPyTO0pk7VvUzTPHYfYi/44ANgzBj5s+IEsSdn0SQqExoFTyft9FpOdPLkwXd1AaNG2Vo0\nUsY6Jmn32EkJnhDiXsFT1p0zx/THWg9eJfY+6sHnUjRyi1y9gu83MFiHwiWONx2KkhJAFMETohJ8\nlwcFTz34vXuBuXPddZ5FJiNnS23ZR4/k6CSyHbnPmyCUY2Ag413BcxxSx08CY8eqCl4CsGTsWADQ\nWTSqB2/S7Ey/JissLZqq0ipkpSw6+zvlFywIHgDKeR49tBaTzT1pAlD9f55P2Sp4Wg4EZPfBDwWf\n7cgiMVopLuc1GxvkCt6syJoSUnqLRgtq0WiKrJWJBLqomrSwaHz34DuVC8rwDhdr0bzzzjs4evSo\n+n1HBzBhgotuo1kiRxOViU5CpdaDpwo+36Jx8uCzUhavNr+qf7G9HaitdZ7opLVoxPyL1ozg6WLT\nAwMD6OoCqqryCf7vrX/Hqf5TuRdOnwa++135DmWCFMchbaLg5fVPjSmanAc/ZswYdNL3WQEleO2Y\nejO92Hx4s+mxwXFAZSV4UUSfcnI7bIptVhZNWxtQXe1ueU/Q68ettwcgMTqhI3jZosnoFLxZkdVM\nwY965wNZ/Cge/A3jx2PFpEnyfihJ0140MJ9oRYus9DiAOcHzHI/6CfXY0b5DfsGG4CemUmintRVD\nTJLGZbXHNQOvYcfKSodT7FLBawnerMiqvdn5AUeCb2xsxIwZMzBt2jSsXr3adJuvf/3rmDZtGurr\n67Fjxw7LfY0bV4BFo3jw1KLRevDZrqxFkdVdnrSpqcn25ypMFp4GNBZNgQp+7ty5uOWWW9TvOzqA\nRKLJ8UMt9snqXZ15qPPgqYL3btFs2L8BC59cqH+xrQ2orUXTnj0AZEU6QhAsY5LJ8UkMtOZmxNDH\nTVE0j7dRH/7kSdmWMM7s/85L38Hv9/w+98KpU/JdsK/P9P3TxSRpiqZPUq4JDhxHCXUiBgZalPPR\nj4kTJ6Kjo0O3L+p6aAn+51t+jksev8T0bwGApmRSJnjl5Ha47EWjtWja24GJE81nj+aBVoJt5KXx\nPBkJXhBGQBCm2sYkzVI0HDiMONgKzJwpq7fT+vf4jGQSbem02osGyKVotGPSktq2bcDs2dYLZ18w\n6QJsa98mf2ND8JNKStCmnE9q0WRPUV6QZzTLBK/nHe24tArelQfvIiaZPpZGcpySHjKJScozrUNS\n8KIoYuXKlWhsbMTevXuxbt067Nu3T7fNhg0bcODAAezfvx+PPvoo7rrrLsv9nXWWrEjo+6Ytsppa\nNKIIvPKKnKLRWDS/aGvDwTUtaHmoRVbwmvPR07MHgASeL1F7ogNANpvFL3/5S93urQi+vasd/7Xv\nvzQvtOdtQwjBSx0dSHCcKwXf3b0Lp069kfd6l+aq6egAslkLgn/7beAN+felXgl8Re6tEyoFdUky\nbZHVmKKhqsxKwQ9kFcVDPcD+flm2TJiApr3yCjhtAwOYlErpY5KaiU6VF1Sie1u3OpZjx/4g73sg\n/xwCQG9vLzZs2IC2NuCCC/JPdXt3e+4DDeQIvr/fnOB5Hi8ooXqtRaOdxQoAlZUXoKtrGwghGBgY\nwJlnnplH8HQsWoLvy8os91bbW6Z/TxMALpv1TPBai4YSvCuLpkCCz3TkiI3nS5BIzFYVvCiKePnl\nl3W/Y2bR8ByP0uMd8uPGpEl5b94FlZXY1tWlX/FLSdHoCd6gpP/zP5E8fdo0ftwwsSF37imxP/VU\n3s1lUiqFNkXBU4sm3U5nLJsr+I6ODnz/+9/Ha6+9BkDmaYrKSv0hREnEv7zyL2jubJZfsLFoPk6n\n8UdFLaTb0yiZpPRDMmlVwHHJ8Dz4rVu3oq6uDpMnT0YymcSyZcuwfv163TbPP/88br31VgDAggUL\n0NnZqbMdtKiu1v/tBzsPomZkTW4mqxFf+hLwwgs6i+bs0lK8ceoU3vuvIwCASXdOQuZERv0wHz36\nO4wdey04rgSE5JTkzp07ceedd+LUqVP5xzHgx6/9GNf//vrcC3v3Ap/8pCwxFbSm0/iovx9fHD/e\nlQe/a9dnsWPHJ2236eiQL6TSUpMp+1deKY8BAF/O45wf58ZSOqUUfQfkTx8hWQhCRZ5FM2bMGPT0\n9KC7u9uS4E/0ycR4vPe4/MK+fUBdnfymKX9jezqNSSUlqCkpQbPyzF59dzXK6mRyKKsrQ6Yjg8yJ\nDLq7d6r7TqfNCf6ZZ55BXV0d2tvNCb6tq01P8KdPqwreDNeNG4e9vb04mcmoVkDfh33Qr8cKpFLV\nyrhaMTAwgAkTJuDUqVM65WpG8LTZ1YW/vND0+BgzBnx3N/b39eHs0lJPBE8V/N69wPTpLhU8HaQH\nD3789eMx6lOjdK/dcsstOF/pBHjddddh48aNup+fdZZcI9Li1vpbMaZjQCZ3C4J/q6tL7UUD5Iqs\nWqRS1ejvb8698NZbSLS3mxL85VMux8YPN+ZmvgPA3XcDzzyj225aeTn2KW8cVfADbQrhkzR4PqWQ\nae792bhxI7Zs2YI1a9YAAC6+GHjppdzf39KS4659x/fhR5t+hP+z9//IL3zwgbwRkEfwPzt8GF9U\nnoDTbWmkJsmfyVR1Cv3NOd+LEFGpC/hn0diW81pbW1FbW6t+X1NTgy1btjhuc/jwYUyYMCFvf5Mm\nybb65z4HnBq1CXvmrsT3PvVPeOnDl/BPG/8J48rH4eY5N+OmuTfJv/CVrwA//SnS3d2qgj9b6ffw\n98p+XAaZUMrPLceuq3ch2/ACeq5+CLPnPIfTp7diz54vYc+eXjz1FMGxY/Kbu3TpUowcORI33HBD\n3viWr1+O473Hseuo3KBqyboluPn5Zty0/h1ZPV9xBbBkCf44bRp+9qUv4aoxY3BueTkea2/Hq52d\n+FZNDT6ticCIYi/27r0RAJBOyze93buX4IEHDqGrS74Y3n77bSxZsgQHD34e2eztmDhRJrrrrwfO\nrOzBkwPL5AZt1C9YsgSJr34VE7+yWD1O5QWV6Dz0d2x/5bsQR7QhkRiNzs5X0Ny8Gxwnf2iTySTm\nzJmD+fMfgyB8A9dfL08qWbIEODbyLyj9Hz/HkfR+AMCNf7wRUzt5/OSXH2F0w6XyBbt1K7BkCR78\n5jfx4+nTcX5lJbaePo0lu3fjzHkp/HLSGQBkVVJ5fiW2/+hHEG7+szrGgwd/gLa2/x+TJ69CZWWu\npejFF1+PFSuA48dlK/d735PH1NywDGdN60JWyuKdj9/BknVLcPtzH+HzH38sy9vmZmDdOvmZ/okn\nZP8PsgC4+aMK7HxwN0a0ZCFUCGj5aQuOb+oFuSMnyTiOQ2Xl+fjSlz6J5uYqXHzxxaisrMQ111yD\nw4dvxeTJy/DGG3L98J57gMy5v8eYy5/CB6f3qPtYsm4J/vHif8TlUy7PXURnnYXEyZN4vqICXxw/\nHr85ehRLdu/GjPJy/MRYpNc0GyspKcHrr7+OCy/8N+za9b8wd6582u+8U77p3323YS2FTEa+SPbv\nlyvz69YBu3YBU6YA//7vede2FlWXVuW9tmTJEvX/t956K+6++278+c9/xjXXXANAviYfeUT/O9ec\nngDs2C1/sKurgZ/9TJ7H8u//DkyZgobKSnzrwAFcckLA9Zy82pJQJuCjH3+EE/wJ4D55P5WVDXjv\nvdvw0Uf/hrPP/l/ABRcgceyYqUVzVtVZeLzjUyBLrgV25BrJ4eGHgfPOk1kZQENlJf5xy7u47B9O\nYkI3j+T4JLre6sLuJbvRs/wfIJ0pz4k4deoN7N69BI8+2oyNG7OYNWsWXnzxRfV8rF27FsAkjBgB\nnH02cOkXtiNx5b8iUyILzJ9v/TnefP+vePbA+0jQwn9JCfC97+GOr34VR+bPx16lSn/t7t24el83\nrvv8ZADAiLkj0Le/D9u++QiEm16EJPUikRiN99+/E4IwAtXVX8OYMZ+1fS8dQWzwxz/+kXzlK19R\nv3/qqafIypUrddtce+215PXXX1e/v+KKK8i2bdvy9gXZsmb/2D/2j/1j/zz+KxS2Cr66uhottKUa\ngJaWFtTU1Nhuc/jwYVRXV+fty/dkCwMDAwODLWw9+IaGBuzfvx/Nzc1Ip9N49tlnsXTpUt02S5cu\nxW9+8xsAwObNmzFq1ChTe4aBgYGBIVzYKvhEIoE1a9Zg0aJFEEURt99+O2bOnKn4UsCKFStw9dVX\nY8OGDairq0NFRQWeeOKJUAbOwMDAwOCAgs0dl3jhhRfI9OnTSV1dHXnwwQeDPpyK5cuXkzPOOIPM\nmTNHfe3EiRPkM5/5DJk2bRq58sorSUdHh/qz+++/n9TV1ZHp06eTF198MZAxHTp0iCxcuJDMmjWL\nzJ49mzzyyCORj6uvr49cdNFFpL6+nsycOZN897vfjXxMFNlslsybN49ce+21sRnT2WefTebOnUvm\nzZtHLrzwwliMq6Ojg9xwww1kxowZZObMmWTz5s2Rjundd98l8+bNU/+NHDmSPPLII5Gfp/vvv5/M\nmjWLzJkzh9x0002kv78/8jE9/PDDZM6cOWT27Nnk4YcfJoT4ez0FSvDZbJZMnTqVHDx4kKTTaVJf\nX0/27t0b5CFVbNq0iWzfvl1H8N/5znfI6tWrCSGEPPjgg+Tee+8lhBCyZ88eUl9fT9LpNDl48CCZ\nOnUqEUXR9zG1t7eTHTt2EEII6erqIueeey7Zu3dv5OPq6ekhhBCSyWTIggULyGuvvRb5mAgh5Kc/\n/Sm5+eabyZIlSwgh0b9/hBAyefJkcuLECd1rUY/rlltuIY8//jghRH4POzs7Ix8ThSiK5MwzzySH\nDh2KdEwHDx4kU6ZMIf39/YQQQr70pS+RX//615GOaffu3WTOnDmkr6+PZLNZ8pnPfIYcOHDA1zEF\nSvBvvvkmWbRokfr9Aw88QB544IEgD6nDwYMHdQQ/ffp0cuTIEUKITLbTp08nhMh3Re3TxaJFi8jf\n/va3wMf3uc99jrz00kuxGVdPTw9paGgg77zzTuRjamlpIVdccQV5+eWXVQUf9ZgIkQn++PHjutei\nHFdnZyeZMmVK3utxOFeEEPLiiy+ST37yk5GP6cSJE+Tcc88lJ0+eJJlMhlx77bXkL3/5S6Rj+sMf\n/kBuv/129fsf/ehHZPXq1b6OKdBeNGYZ+dbW1iAPaYujR4+qBeAJEyaoE7La2tp06aAwxtnc3Iwd\nO3ZgwYIFkY9LkiTMmzcPEyZMwOWXX47Zs2dHPqZvfetb+MlPfqKuWQrE4/3jOA6f+cxn0NDQoM6M\njnJcBw8exPjx47F8+XKcf/75uOOOO9DT0xOLcwXIE9luukme1xLlmMaMGYNvf/vbOOusszBp0iSM\nGjUKV155ZaRjmjNnDl577TWcPHlSndF9+PBhX8cUKMHbrccZNeTVY6zHF+TYu7u7ccMNN+CRRx5B\nZWVl5OPieR47d+7E4cOHsWnTJrzyyiuRjum///u/ccYZZ2D+/PmW8dqo3r833ngDO3bswAsvvIBf\n/OIX6rT2qMaVzWaxfft2fPWrX8X27dtRUVGBBx98MNIxUaTTafzpT3/CF7/4RdNjhjmmDz74AA8/\n/DCam5vR1taG7u5uPP3005GOacaMGbj33nvx2c9+FosXL8a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| |
} | |
], | |
"prompt_number": 2 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 2 | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
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