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@lbourbon
Created May 5, 2017 00:07
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Importando as bibliotecas\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# para visualização direta no jupyter notebook (não é necessário em outros IDE´s)\n",
"%matplotlib inline\n",
"\n",
"# caso você esteja usando outra IDE, é fundamental que sua última linha de código\n",
"# seja-> plt.show() Caso contrário, as imagens não serão apresentadas! "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Aqui produzimos alguns dados para posterior plotagem:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"reta = np.arange(1,21)\n",
"aleat = np.random.randint(1,20,20)\n",
"curva = [(i/4)**2 for i in reta]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A forma mais simples de plotar dados é usando o plot() e passando os dados desejados como argumento"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x1f61ab2ad68>]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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34SoOFRRx67kDmXJqHzVVE5Fqp+APwPavc5k+P4Wl63aR0KstMyeNoF+nFkGX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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1f618d2df28>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(reta)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<b>Aqui já começamos a personalizar nosso gráfico, nesse exemplo podemos usar dois argumentos:<br>\n",
"* color = 'red' ou color = 'r' => cor da linha, no caso escolhemos vermelho <br>\n",
"* linestyle= '--' ou ls = '--' => estilo da linha -- significa tracejado <br>\n",
"\n",
"Ou resumir tudo isso, usando apenas 'r--'"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x1f61adfe2b0>"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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YZJo2FY8hY/wDB2J/g46V0aOdKSRSu7akJp46Nfq6AocOiaJyImFasvPNN5Il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\nUUWgKIqS4qgiUBRFSXH+P920N0DJn5ZvAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1f61ab34dd8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# plt.plot(aleat, color = 'red', ls = '--') essa linha e a de baixo produziriam o mesmo resultado\n",
"plt.plot(aleat, 'r--')\n",
"\n",
"plt.xlabel('eixo X')\n",
"plt.ylabel('eixo Y')\n",
"plt.title('EXEMPLO')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<b>Outros estilos de linha (linestyle ou ls):\n",
"* 'o' => bolas\n",
"* '.' => pontos\n",
"* '--' => tracejado\n",
"* '-.' => traços e pontos\n",
"* '\\*' => estrelas"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x1f61ae9dfd0>"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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SR15Te0/vJbcolx7Nehh30Ure/+P75Q/uVuxbwcp9K8sD+op9K/g67etqz2/g\n34AXB7+IUopfJv7ikoeAvj6+dAvv5vKA/vux39l8fDPvj3jfrR6GlvH4gA7w7IBnDbmOn6+fxTsl\nH+XD12Or/wMQ3qEm9chtVbkGemVZWfPtrpZYMfDMGzPvsn3zxsy7Ypu113K22PBYFu1YhNbaZf2Y\nvXE2wX7BTOjunhUrPX4MvaLD52pWo6KguID4xHiLdyoVnc49TX5Rfo3aE57Dmjxye6RmpeLn42e2\n3n5WllRLrCg2PJYzeWdcNsHobN5Zvtz+Jbd3u91tM928JqC/vf5t2rzThqwLWTafu3jnYlIyU6jv\nX9+q49ceXkuTvzfhv4f+a3NbwrN8+60pfzw21vS5Yl65EVKzUukc2tnsOpTp6c9JtcQKygqXuWrY\n5fOtn5NblMvUXlNd0r41vCagX9fuOp7qV7NMAVvXAuwe3h2Fsqq4kBDVST2eWuVwS1VVEWtrtcTu\n4d0B12S6lD0MjW8eT6/mvZzevrUsBnSl1Byl1Aml1PYK20KUUj8qpfaWfm7s2G5a1jm0M68Oe9Xm\np+67Tu5i9cHVTOk5xeoHqg38G9A1rCtJGUk16apwMnfNIz916RRHc45WGdCrqoroimqJ7qCBfwPG\ndRnn8BRJc3Zk7yDtRJpb352DdXfonwKV5w0/A/yste4A/Fz6vcsVFheyct9Ksi9mW31OTdcC7BfZ\nj/UZ6ynRJbZ2UziZo/PIa8pSDfS2bWfg4xN02TZnVkt0RwtuWeCSdTu7hHVh/8P7ua2re9WTqcxi\nlovWeo1SKqrS5tHAoNKv5wKrgacN7FeN7D29l+Hzh/PP6/9p1WzOvKI85qbOrdFagAktE5idMpsd\n2TsMq2EtjFVdHvnqvRv4eNPHFq/xRL8niG4a7ZD+1atbj7ExY6u8Qy/LZpE1QS9XWFyIj/KpNr3Y\nEdo0buPU9mqipmmL4VrrsvXHjwNVRkOl1BRgCkCrVo59qxgTGkOX0C4sTFtoVUC3Zy3A8hWMjiRL\nQHdTlfPI8bvEtX+8yNwPQkk+c4zl+5ZbvMbdcXdzqfASD694mD+0/oOhtff7tOjDwrHVz+AMD59Q\n6wN4Rb8c+IXr51/PmklruKqlcyb2LN29lNkps5kzek55+V93ZXceutZaK6WqXDlZa50IJALEx8c7\nfIXl8V3GM331dI6eP2qxroQ9awG2D2lP06CmJGUkmS3kJVwvIgLq19eleeSKgoIg2kUE0awZjGk2\nhjGdx1j7N/DiAAAgAElEQVR1Ha01qVmpBPsFGxrQz+addchqW96sfUh7bom5hYA6AU5rM+N8BpuP\nb6ZxgMsfFVpU0yyXLKVUBEDp5xPGdck+Y7uMRaP5Zuc31R63M3unXWsBKqVIaJkgmS5ubsfBk/hd\nNYdPlqTVOI9cKcWaSWt45/p3DOtXYXEh4TPD+dt/3Wxg3821atiK+TfNN2ztVWvc3/t+Mh7LuKKc\ntjuqaUBfApQVMrkT+N6Y7tivU9NOdA/vbnElo05NO7H6ztVM6jGpxm0ltExg96ndhlV6FMbr+tB0\nfP74EKMHRtmVRx7oFwjAnlN7DClFm1uUy0N9HmJAK/daUs0TaK2d/jfnjtP8zbEmbfFLIBmIVkpl\nKKUmA68B1yil9gLDSr93G+NixrHuyDqOnDtS5TFKKQZGDaRJUJMat3NLzC18Pfbr8j924V6KSor4\nZuc3jOw40pCFhrdlbaPzrM58uuVTu6/VwL8BM6+dyeA2tg/31XZP/fgUbd5p45QMs3WH19H1/a4W\nC5i5C4sBXWt9m9Y6Qmvtp7VuqbX+RGt9Sms9VGvdQWs9TGt92hmdtdbYLmMB00NPc77a/hUPLX+I\n3EL7SuZ1aNKBW2JuIcgvyPLBosZqmke+5tAaTlw8wbgu4wzpR9ewrvRp0YcZv86wuuxDVtZ8kpOj\nWL3ah+TkqPJp+8dyjtn9+1dbdWjSgZyCHA6ePejwttYdWUdadhrN6zd3eFtG8JqZohV1bNKRHs16\nVFkDeu3htaw6uMqQByvbT2y3qQaMsF1N88gXpi0k2C+YER1GGNIPpRQvDnqRw+cOW7W4QXW1WO78\n7k4GfjrQkH7VNs6sjZ50JIkOIR1oGtTU4W0ZwSsDOpiyXc7mneViwcUr9r034j3W37PekHGx2Rtn\nc9f3d1FUUmT3tRxlQ8YGnvnpmfKVZjxFYCAoZcodLykxfVbKtN2SsuGWG6JvMPQd1DVtr6F/ZH9e\nWfuKxeXQqqrFsn//s6QeT6VbWDfD+lWbdA3rikI5vKaL1prkjGQSIhMc2o6RvDagP57wODse2HHF\n2GnZ29x6desZ0s60PtNYPWm1XXXYHel8/nkGfjrQpbNay4YnbG0/PR1uv91UhxxMnydMgAMHLJ+7\n+uBqTl46ybgYY4ZbypTdpWecz7A4MamqmiuZOYfJvpTt1EwNbxJcN5gOTTo4PKCnn0nnxMUT9GvZ\nz6HtGMk9o5AB/Hz9UEpdtlRcTn4OLd9qyQe/f2BYO9FNo4lvHu+2Af3xlY9TWFLIa8Nec/rMOoCj\n548SPjOc8JnhjF803qZz7alHvmD7AurVreeQ1e6HtBnCgFYDeHXtq9XepVdVc+VwgWlySlUzRIVl\nseGxDh9ySc4wpSTLHbqbWL53OWEzwzhwxnRL98W2Lzide5q4iDhD2/n3nn/z+dbPDb2mEVbsXcHH\nmz/myX5P0j6kPTPWzLCpzo0RzuWf46qWVzGw9UAW71zM0fNHbTq/JvXIC4sL+XbXt4yKHuWQDCSl\nFH8b/DeO5RwjMSWxyuOqqsVyys+U2VJWPVDYLjY8lgNnD3A+/7zD2kg6kkT9uvXpEtrFYW0YzasD\nekxoDL2b9+Z8/nm01nyY8qFD1gKcs2UO01dPN/Sa9jqTe4Z7lt5DTGgMLwx6gRMXT/D8querzPxx\nlJjQGFb+aSWvDXuNYl3MJ5s/sen8mtQjr+NTh58n/syzVxuzkpU5g6IGMShqEK+ufbXKbJXw8AlE\nRyfi798aUPj7tyY6OpH0iz60atiKxoHuP/PQXZUNVzkynTA5I5mrWl7lkne2NeXVAT2qURQ/3PED\nsc1i+f3Y72w5vqXGM0Ork9AygfQz6TVaXMNRHlv5GFkXsph741wC6gQQExrDxns31qhuTU3tOrmr\nfHWZto3bcm27a/lo00cOf4CslKJHsx50CXPsndXfBv2NGzreQG5R1emH4eETSEg4yKBBJSQkHCQ8\nfAKpWVXXQBfWcXSmS05+DluztnrU+Dl4eUAvk3Uhi9fWvuawtQDLC3VluEcZgCW7lzA3dS5/ufov\nxDePL9/eq3kvp854e+KHJ0j4JIGjx0oYOBDGt3qEjPMZrNi7wmFtFhQXcP+y+9lyfIvD2igzoPUA\nEm9IJCQwxOpz8ory2H1ytwR0O7Vs0JK/D/s7A1o7ZqZtblEu03pPc8gzGEfy+oB+4uIJWrzZgsW7\nFjtsLcCeET2p61vXLeq6nLp0iqnLptI9vDv/N/D/rtj/4uoXuXeJ44uJHTp7iOV7lzMpdhIzXvZh\n7Vr47YvriKgXwYcpHzqs3U2Zm0jclOjUdSfXZ6zn253W1RRIO5FGsS6WDBc7KaV4sv+TDnsOERYc\nxjvXv+NRD0TBgGqL7i4sOIzeLXqzPmO9w1YbCagTQM+Inm6xgtGO7B2U6BLm3jjX7DqVOQU5fJr6\nKS8NeYlm9Qxcvr6Sjzd9jH75Ii8X/e+h5OzZvsAxMuvkcmjEIVo3am14u31b9iXz8UynVjH866q/\nsuvkLkZHj7Y43tqqYSvmjJrD1a2udlLvvNfZvLP8fvR3hrQZYvg4977T+2jdsLVHFOSqyOvv0AGm\nD5zOk/2edOhagP1a9mPjsY2GFG6yx4DWAzj4yEF6NOthdv+UXlMoKimyaqZjTRUWF/LJ5k8Y+vaU\nK/LIbxx7AfVoOz7a9JHD2g8LDjP7n1lNVDV1v6L3RrxH8uRkq4JKaHAod8Xd5dD/TGuL73d9z7Wf\nX8u+0/sMvW6JLuGqj69i2nLLayq4m1oR0Ie3H87fr/m7Q9tIiEwgryjPKWO35mRfzOaD3z+gRJdU\nm6rXsUlHhrQZQmJKIsUlxQ7py9I9S8m8kMkjw8ZdkUce0bQef+zZi3lb5xk+0Wn53uUM+2yYzamR\nValu6n5FHZt0LK+9b+k1/c++/7Dn1B5D+lfbDWkzhHlj5hm+6ERhcSHPD3ie8V1tmzfhDmpFQHeG\niisYucLMpJk8uvJR9p/eb/HY+3rdx6Fzh/hh/w8O6cvslNm0bNCS6ztcbzaP/M1r3+S3e34zfDLW\nl9u/ZFPmJkKDQw25XlVT99PTn7vi2NzCXIbMHcLr616v8npaa2775jbeTH7TkP7VdpENI/lT9z8Z\nnv7pX8efxxIeY0ibIYZe1xm8fgzdWZrXb05UoygOnTvkkvZfGvISIzuOpEOTDhaPHd1pNGHBYXyY\n8iHXd7je0H7sP72fH/b/wIuDXqSOT53L8sZnzSr7ynIfbZVXlMf3u75nbMxYw4Zbqpq6b257oF8g\nQX5BzEyaybQ+08w+fNdoFo1d5DGFnjxB2ok0juYc5dp21xp2zZRjKUTUj/CYCosVyR26gXY+uJM3\nr3Pu3Vf2xWzO5p2lrm9dq1O46vrWZXLcZJbtWWZ4NshHmz7CV/kyOW5ytcdtP7GdwXMHs/fUXkPa\nXblvJTkFOYa+Ta5q6n5V218Y9AJn8s7w7oZ3ze73UT4MbTtUMlwM9Nq615i8pPrfNVtN/G4i9yy5\nx9BrOosEdAM5c51DML2Fv2fpPfT+qLfND2Pv7XkvWmuLBabAtnrkeUV53BJzi8X1XEMCQ9iWtY0d\n2Tus7XK1FqQtoElgkxqtD1uVqqbut207w+zx8c3juaHjDfwj+R+cyzt3xf61h9fy7z3/Nqx/wjTB\nKON8BqdzjVmS4WzeWXZk7ygfQvU0EtANdPzCca6ffz1Ldy91Snufb/2cJbuXcF+v+2weZmjTuA3X\ntb+Ojzd9bPFBni31yN8e/jZf3vylxeOa129O5uOZjO402touVym3MJclu5dwU+ebDE0zq2rqfnh4\n1ZPTXhz0ImfzzvL2+rev2PfOhnd45D+PGNY/YfyM0fUZ6wHT7G9PJGPoBmoS2ITtJ7aTeSHT4W0d\nPX+Uh1Y8RP/I/jza99EaXePVoa/iq3yrTLcLDDRlppT54APTR0AA5JqZ7Z5+Jp22jdtaPRvVz9cP\nrTWnc0/btRTgin0ruFh40bCViSoKD59QbQCvLC4ijhs73chb69/ikb6PXJYPn3o8VYZbDFb2eqZm\npRqynF/ykWR8lA99WvSx+1quIHfoBvLz9ePwo4eZ0muKQ9vRWnPv0nspKC7gX6P/VeNJFT2a9aBb\neNWLLNhSj3zXyV20e7edzettjvxyJDcvvNmmcypbmLaQ0KBQBkUNsus6Rnlh4Aucyz/HW8lvlW+7\nWHCRfaf3yZR/g4UFh9GsXjPDaqMnZSTRLawb9f3rG3I9Z5OAbjBn1EqZs3kOK/at4PVhr1uV1VKd\n9DPpTPh2gtn1GW2pR16vbj0e6/sY17e3LWvmD63+wH8P/ZddJ3fVqP8XCy6ydM9Sbu58M3V83OMN\nZ2yzWG7ufDNvrX+rfGx324ltaLQEdAcwqjZ6cUkxGzI2eOz4OUhAN1zq8VRiZsWw7vA6h1z/8LnD\nPLbyMQa2HsiDfR60+3p+Pn4s2rGIXw/9ana/tfXIWzZoyZvXvUl4vXCb2r8r7i78fPyYvXG2rV0H\nTP+Bvjv8XYe/K7LV9IHT8fP1Kw80ZZ9lyMV4seGxpGWnXbaYTU2kZaeRU5DjsePnIGPohouoH8HO\nkztJOpJE/1b9Db221prJSyZTokuYM3qOIRNzIhtGcvzx41VOzjCfR365NYfWUFBcwNA2Q21+hxIW\nHMZNnW9ibupcXhn6is0LUgT5BTG5Z9Vpa1lZ80lPf478/MP4+7eibdsZNo2J11S38G5kPJZR/vNs\nOb6Fhv4Nad3Q+Po1tV1ss1gKigvYdXJXtUOIlpRNCpQ7dFEuLDiMdo3bOaSU7trDa/kp/SdmXjuT\nto3bGnbdsmBetvanrZ79+Vke+PcDNW5/aq+pnMk7w9c7vrbpvAsFF5j12yxOXjppdr+1U/cdJdAv\nkBJdwvYT20nNSqV7eHenli+uLcozXewcR0/OSCY0KNTQvy1nk4DuAP0i+5F0JAmttaHXHdB6AL/d\n85vNVSOtySO/6/u7GPnlSJv7tP3EdtYdWWfXwiGDogbRsUlHZqfYNuyyfO9ypq2YVmUuuy1T9x3l\nmZ+e4aqPryI5I1nGzx0kumk0KVNSuCXmFruu8+Z1b7J8wnKP/k9XAroDJLRMIOtiltkHjTVRokvY\nlrUNgN4tetv8C2dNHnn7xu35Kf0nm2duzt44m7q+dbmzx502nVeRUoqpvaaSdCSp/Oe0xphOY/jx\njh/pH2l+aMuWqfuOcnfc3fyp258AGT93lDo+degZ0dPuiX0hgSGXLQjjiSSgO0DZGFzSEWPqo7//\n+/v0mN2Djcc22nReYCAoZcodLykxfVbKtL2yu+Pupo5PnWoXPa7sYsFF5m2dx9iYsXbXJ7kz9k78\nff1tukv38/VjWNthVaZt2jp13xE6Ne3EhyM/5NifjzE2ZqzT2q1tko4k8fwvz9f4/N+O/sYrv75i\ndoavJ5GA7gBdw7pSr249w8bRb+58M0/3f5peEbbVc7cljzyifgSjokfxry3/snosfUHaAs7lnzNk\n4ZAmQU0Y22Usqw+utqqs7rI9y3j6x6e5WHCxymNsnbrvKEopIupH0DCgoVPbrU1+P/o7M36dUeN1\nfZftWcb01dMNK+zmKhLQHcDXx5erWlxl9x36Nzu+oaikiIj6Ebwy9BWbh1psySMHU1ndU7mn+Gbn\nN1Zdf3bKbDo37WzY6jvvDH+HLfdtsSp75+NNHzN/2/xqs2JqMnVfeKaJsRPJfjLb5rTZMi8MeoHd\n03bbnGXlbiSgO0hCywS2Zm3lQsEFm8/VWvPC6he45etb7F5ZyNo8coChbYfStnFbq4Y9Nmdu5rej\nv3Ff/H2GPUQKCQyhjk8dikqKqj3uXN45VuxbwdiYsRaDf3j4BBISDjJoUAkJCQclmHupxoGN7Rr2\n81E+Hp3dUkYCuoOM6DCCh696mNxCM0VPqqG15q+r/sqL/32Ru3rcZbEMrSXffmvKH4+NNX3+tpq1\njH2UD1N7TWXNoTUWqyDOTplNQJ0A7uh+h139q2xDxgZavdWKlGMpVR6zZPcSCooLHFK7RXiu939/\nv8rSxdVJO5HGlKVTOHDGzFikh5GA7iAJkQm8ed2bNq2eo7XmuV+e4+VfX+aeuHv4eNTHhi9+a8mk\nHpPw8/Gz+HC0U9NOPNb3McNXi4luGk1Uo6jydzbm1vRcuGMhrRq2om/Lvoa2LTzbin0rbHqoX2bV\nwVWmOv5O/ltzBLsCulLqoFJqm1Jqi1LKthSMWqCguMDq9SO11vzl57/w6tpXmdJzCrNvmF0+nGBL\nPXJ7hQWHcXPMzXyz85tqy+o+2vdRXhn6iuHtNwpoRNLkJAZGDTQ7MWjj9ntZWTrc4sn5wsJ4seGx\n7Dq5i7yiPMsHV5B0JInm9ZsT2SDSQT1zHiPu0AdrrXtorT07gdMBpi2fRsInCRYnGGmteerHp3h9\n3evcH38/H4z84LKxYVvqkRvhjWveIO2BNLN3LFprlu1ZZvOCGrY6n3+en7Y+ecXEoF+zcyksKZbh\nFnGF2PBYinWxzYumJGck0y+yn1fcIMiQiwPd1vU2pg+cTmFJ1UWDtNY8/sPjzEyeyYO9H2TWiFnl\nwdyWPHIjtWzQkgb+Dcz+R/Tb0d+44csbmLtlrkP7MGL+CKanZlK5C6uzIdwfejfv7dD2hecpr41u\nQ+XFzJxMDp496NEFuSqyN6Br4CelVIpSymy5O6XUFKXURqXUxuzsbDub8yyD2wzm4aserja3Nacg\nhx/2/8DDfR7mn9f/87K7BFvyyI22NWsrcbPjrvjj6BrWlY9v+NjQtTvNuaP7Hey/CDtz/rftfCFs\nPAPDIhp4xd2UMFa7xu0I8guyqaZL2VwRTy7IVZG9Af1qrXUP4HrgQaXUHyofoLVO1FrHa63jQ0Ot\nf0DoLTLOZ5id4am1prC4kAb+DVh39zreHv72FUHK1jxyI7Vs0JKcghwOn7t8mnxw3WAm95xsdlV7\nI93e7XaC/QJYmvm/YZ+CEhgZUYe74p92aNvCM/n6+NItrJttAf1IMv6+/sQ1i3Ngz5zHroCutT5a\n+vkEsBjwzHWbHOjepfdy1/d3XbZNa8205dO49ZtbKSopomFAwyrvOG3JIzdSSGAI+x7axw3RN5Rv\nW7B9Ae9ueNeqmZz2qu9fnz91v5P/nvQl36cloGjRoDWzR33K0C7POrx94ZnKFruwtjBeUkYSvZr3\nwr+Ov4N75hw1DuhKqWClVP2yr4Frge1GdcxbJLRMIO1E2hU1Inx9fGnXuB2+qvpUKVvyyI2mlKKo\npIgj546gtealNS8xb+s8Q+qwW2Nqr6nkFhWw2/9JevQ9jYr8irCw253StvBMsc1iOZN3hozzGRaP\nzS/KJ+VYCv1aesdwC9i3wEU4sLj0zrIO8IXW+j+G9MqL9Ivsh0az4egGhrUdxvELx2levznvDH8H\ncM6SdfYY+cVITl46ydvD3yYtO42Pb/jYaW3HRcTRp0UfZqfMJrBOIFOWTWHz1M30aNbDaX0QniU2\nPJaw4DCO5hwlsmH1aYhZF7PoHt6dAa0HOKl3jqeMrtldnfj4eL1xY+1KVz+ff56Gz3Wi1Y9J9P/z\nu/z31AJS70u1uzqhs7z323s8tOIh4prFsf/Mfo79+RjBdYOtPt/eFYPmbJ7D5CWT+XzM55zJO8OD\nvR90+/8Ehetorb3y90MplWJNarikLTpYA/8GhPz+Foe3RfLle+2ZHDeZJoFNXN0tq93R/Q6C/ILY\nfHwzd3S/w+Zgbu+KQeO7jKehf0NW7FvBtD7TvPKPVRjHlt8PZ97MOosEdAcqyyM/vWY8aF/Y+AAv\nDfkbQUGeE5QaBjTk1i63AthcJteIFYOC6wYzodsEjuYcdcrDWOH53kp+i5FfVL/6ltaa6Pei+dt/\nnTRbz0kkoDtQWR55YKDpTsCZeeRGem3Ya3w3/jubF+A1asWgl4e8zEN9HnLaw1jh2QpLCsm+lF1t\n1c68ojx6NOtBm0ZtnNgzx5MxdAe7/35ITIS6daGgAKZOhfffd3WvnCM5Oap0uOVy/v6tSUg46PwO\nCeGhZAzdTbgqj9wduMuKQUJUVt1KV57MnrRFYYWKeeOzZrmuH65Qls1iT5aLEDUxYv4IuoV14/Vr\nXje7f/DcwbRp3IYFtyxwcs8cSwK6qJa9aYfh4RMkgAunyynIYd2RdWb35Rbmsvn4Zoa1HebkXjme\nDLlYwZn1yN2JEWmHQrhCj/AebM3aajYzauOxjRSVFHlNhcWKJKBbwdn1yN2FEWmHQrhCbLNYcgpy\nzC4rV7Z4e0KkBPRaxVX1yN2FUWmHQjhbbHhpbXQzlReTM5LpENLBY2Zr20ICejVcWY/cHfj7t7Jp\nuxDuomtYV3yUzxX1/LXWJB1J8pr655VJQK+GK+uRuwNJOxSeKtAvkI5NOl5xh55+Jp3sS9leOX4O\nEtAtqs155OHhE4iOTsTfvzWg8PdvTXR0omStCI8QGx57RUAvGz/31jt0SVu0wNPzyCXtUNRWseGx\nLEhbwLm8czQMaAiYxs/r161PTGiMi3v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"text/plain": [
"<matplotlib.figure.Figure at 0x1f61ab03550>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Para colocar mais de um curva nos mesmos eixos, basta plotá-las em sequência: \n",
"plt.plot(curva, 'yo', label ='curva') # bolas amarelas (y de yellow)\n",
"plt.plot(aleat, 'g-.', label = 'aleat') # traços e pontos verdes (green)\n",
"plt.plot(reta, 'b*', label = 'reta') # estrelas pretas\n",
"plt.title('EXEMPLO') # Define o título dos eixos plotados \n",
"\n",
"plt.legend() # Obrigatório se quiser mostrar as legendas!"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x1f61af279e8>]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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UUXD88Z1vO/XUcJk6wSw9OKcQXKbmoqc6+mirQtmvX35jXbvWPkyCYmNBqmHc\nsmXAxpQruG/aZOdVylzLHcLN3G8BDk257XxghqqOBWYkrruY8aqPhVPVi1V1R1XdVVW/qqobIh1Q\noWV/Fy60E6qpNVBmzoS//CX341OD+557WqniXEF77Fj40pfyGyt0rQ4Zx3K/gQEDcue59+sHt9yS\nuT9sCeUM7qr6DLAq5eYpwK2J328FjizyuFwReNXHKlJocL/1VgvIqaV6R40Kt3YeHDNypF3utJPl\n5+daS58xA+bNy2+sYFlEQ4Z0pEPGsVFHIMzMXbXi8ty3UdWgDclSYJsijccV2aBB+3pQrwY77WRZ\nI0FrvrDmzLGCXP37d769sTFcpsfKlRZwk2fqq1bZcsM2Wf63/9a37EOlkA5EY8d2BPdx46zo2dCh\n+T9Pqf3pT7mLoj32GBx5pFW23HPP8owrodsnVFVVsS3aaYnIVBGZJSKzVoRNvXLOdTZ8OJx5ZscM\nOqzZs9Ov9zY22vp9rpnnlVd23WW6225wwQWZH6Oaf9GwZOPGdXxD6d3bPtDiOHMfNiz3uFavtpOq\nEYy/0OC+TEQaABKXyzMd2K1cYOecaW+3bkRh+3aCZbUsXgwf/3jX+8aMsQD//vu5n2eLLTpfb2zs\nyGZJp7XVMkQKDe4339zRWGT+fLj8cvu2EDcPPZS7MFpE5X6h8OD+EBBsrTsReLA4w3HOZbTrrvCr\nX4U/PgiQ6WbuxxxjATrbMo+qVTP8wx86354r1/29RKWGQjtHJef+//OflsYZpg9ruT3+uO0/yCYI\n7nHMcxeRO4GZwHgRWSwiJwOXA58WkdexDR+Xl3aYztW4ujo7gZfPCdW99rLdnk1Nhb3mmjVW1+XN\nNzvfHpyMzXSisNAc98CyZfDFL8KTT8Y7WyY4oZrthGlLi20eS/32UwY5T6iqaqaiFnm0cnHOdVu+\nZX+HDLGTeZkcdZQVtTr99PT3B0svqXVzGhthwwYrX5Cuj+iECXayMcwO2HT69YN777XHb9pkt8Vx\nzX3AAEsx3bAh84nVj30MTjqpvONK8B2qzlWKfIP7DTdkr0czb561i8skNcc98MlPWlONTB2dhgyx\nipCFrjP3729LOgsW2Pp9v35lb3QRSpiyv8cfD7/4RXnGk8KDexXw+jE1or4+/A7VlhZrq/fww5mP\nyXViNFNw3203OOeczMF75kx49NFw48xk3DjbyLR2bTxn7RCuYUeYBtol4iV/K1xQP6a9fSN1db19\ns1I1O+uxfk48AAAR3klEQVQsK9UbRraTqYHGRvjrXzPfv24dDBrUNZ9d1cry9u6dvmTwtddaP9S3\n3go31nTGjYP774dHHrHCYXH0hS/YztNs31D23NNaHOYqkVwCPnOvcF4/poZ8/vO2Th5GmOA+apTl\nsGeaXZ53nn0DSNfjdcKEzH1Ym5sLz5QJ7LyzLe/07m3jjKO+fW2DV7YeuC0t+dfXKRIP7hXO68fU\nkOXLLTUwjNmzLSgGTUHSGT8edtkl+1JPugqSItnTIbuzgSlw5pnw2mtwxx1wzz3de65SWbrUNnMF\nRc7SiaiWO3hwr3heP6aG3Hgj7L131zox6cyZk7sS4Qkn2EnVTFv7jzvONhSlk229vhjBPXDttRbg\n42jtWtvElCm4t7XZMREFd19zrwJeP6ZGJJf9zdWD9e9/z12xMJtNm2zGHDStTtXY2NG+L9n69RbQ\nuhvcVS3j5oUXOnq/xk2ubJk1a+zSZ+7OuayCXY5hMmaGDs1dZGzTJth/f7j++q73vfeelTzItN7d\n2Gh57qlNO3r1guee61o/Pl8iHWV/47iBCTqyeDIFdxE45ZTC8/27yWfuzqUhIvXAjcCuWGG8k1Q1\n2lzTsGV/H37YllvOPz97fnivXvDqq+mXFTKlQQY++1nLokndndmrF+xXpI6EY8daxk1cg3vfvnYy\nNVNwHzw4/QdnmfjM3bn0fg48pqo7AhOIus0edMzccwX3u++GX/4y3MafTCdGM+1ODUycaO37+vbt\nfPurr8Jvf1tYO8B0Y4P45rmL2AdPpuWvzZvDp66WgAd351KIyCDgQOAmAFXdqKoF9LcrsrFjrXDY\nLrtkPy7MydRAphOjGzfazDxTieG2Nnud1Mf++c/wta/l7rEaxq672mXY9M8ovPEG/Oxn6e974AEr\ngpZtl3AJeXB3rqsxwArgNyLybxG5UUSiSVZOttVW1gQjW973Bx/Y7Dldmd90Ms3cTzrJUv1SZ+aB\ntjYrSJaaTdPcbEsz2VIww9p997I3uMjbVltlLgoWfMMaNKh840niwb1CeImBsuoJfAy4XlX3AD4g\nTZ/gSBrRzJkD77yT+f5nn7UToXvvHe75JkywJZYw6ZXJeve2jJjUD4bmZsvkSZcfn69Jkyyvf8cd\nu/9cpXLDDbYElk6EtdzBg3tFCEoMvP32RcybN9kDfOktBharalBV614s2HcSSSOaAw6w3O9MXnzR\nCm9NmhTu+b7xDStBkFrV8MtfzrzcEEjXh7WYOe6V4N574bbb0t/X0mLfYjJ9+ykxD+4VwEsMlJeq\nLgXeFZHxiZsmAy9HOKQOuSpDTptmyyl9+hT+GqpW0yVoupFJuiWdYpQeqCTZmmS3tNhJ8GJ8iymA\np0JWgKDEQFAczEsMlMXpwO0i0ht4C/h6xOMxYcr+5lPLpKUFPvEJ+1AI6o6vXm1FwzJlygQaG+2k\nYXt7R32Ve+/N3ryi2mQL7gccUJxzDwXy4F4BghIDq1c/TX39JN+NWgaqOhcosIVRCQ0enHkT089/\nbjnuDz8cvvPPoEG2WSjYMAQds/FcBbuOP966PSUH9/Hjsz+m2gwYkDm4n3BCeceSwoN7hfASAw6w\nr/mZCnbdf79tec+npVtdnaU7Jj9nrg1MgYkT7SewapW15TviiNy7Y6tFkOee/AEXWL/elsciWpbx\nNXfnKskZZ8APf9j19pYW2/Z/xBH5P2fq2nl7u83AcwX3DRvgL3/pyN5ZsMDG93I8Tk+Uxfnn2xJW\nugA+YUKks3cP7s5VkoMPhilTut7++OOWe/7Zz+b/nKkbmaZMsVz51CYdqdavh8mT7RsDdL8xdiXq\n29fOcaQL7sEJ1Yh4cHeukixbBs8803Vb+8MPW7GwvfbK/zn32cc2JOV7IrS+3tIug1l/LQb3+fPh\n7LO7Zhap2rkRD+7OuVDuussaVKeeVN19dzjttMIaSZ96qs2+g9nnscdaj9RcUpt2NDfbuvPWW+c/\nhkq1aBFcfTUsXtz59nXr7AM4og1M4CdUnassyZUhk9Psvvvd4r3Gc8/BZz4T7tjkjUzNzbaUU8gH\nTKXK1CQ74t2p4DP32PDyAi6UdGV/33wz//IByRYuhBEj7FvBxo22xJDrZGogeeb+k5/AE08UPo5K\nlKlhx5ZbWkPzCBuN+Mw9BoLyAsEmJW+X5zJK7sYUOPpomzE//nhhzzl0qAX0d96xhtmq4YP7qafC\nMcfY78OG2U8tyRTct97almsi5DP3GPDyAi601Jn7u+9aK7pPf7rw5+zXz5Z4Fi4Mn+MemDDBMngA\nrrrKCpfVkkzdmD76yLKJItyt68E9BoLyAtDDywu47Bob4ZZbOrJiHnnELgvJb0993kWL7CTp3nuH\n34TU2monY998007CFvrtoVINGWIbx7797c6333GHfWhmq+BZYr4sEwNeXsCFNmAAnHhix/VHHrFA\n3N2yuKNGWeOJAw+Ef/wj/ONWrYIvfAEuvdRmqbWUBgmWHZSuDWCwbObZMs7LC7jQnn/easKMGgUz\nZljZ3u5ucT/44MKqOQ4fbgHu+UR15FoL7mAfbDvs0LkpeEtLRxu+iHhwd67STJliP9ddBw8+aJku\n3RUsKxx3nLWG++1vwz2uVy8L8LUc3G+9Ffbdt2twr6/vWm+mjHzN3blKE5T97dnTTqTuvHNxnlcV\n/v1vOxGYj8ZGWLnSfq/F4J6u7O/q1ZEuyUA3g7uIvCMi80VkrojMKtagnHNZ1NdbcP/xj4vXfPmF\nF2w9/7XXwmfKBBobbfa+YEFxvkVUmgEDum5iOvRQmDo1mvEkFGNZ5iBVXVmE56l6a9bM9JOmrvsG\nD7ZqjE8+aXnlu+zS/efcemtrrg35B/cLL7TNT2PHdn8clWjgwI66OoGIa7mDL8uUjfdBrTwi0kNE\n/i0iD0c9lk4GD7ZyuwCHH16c50yuB5NvcN9lF5g3D373u+KMpdKka9ixahVs2hTNeBK6G9wVeFJE\nZotItN9BYs43KlWkM4FXoh5EF8HJzz32KN4ySPKJv3Hj8nvsihXw9a9b+YFadNNN8ErK22SXXbrm\nvpdZd5dlPqGqS0Rka+AJEXlVVZ9JPiAR9KcCNOY7I6gi3ge1sojIdsBngf8Bzo54OJ2NH2/BuJDa\n7dkcdJB9I9htt/weFyxJJNeEryV9+3a9LeJa7tDNmbuqLklcLgceALoUk1bV6arapKpNw2qt7kSS\nYKPSmDGXee2YynANcC7QHvVAuvjHP6xb0mGHFfd5jzoKDjkk/8cFk7Ztty3ueCrFjBlWbjlYhvnw\nQ/uQjDhbpuCZu4j0A+pUtTXx+2eAS4s2sirkG5Uqg4gcASxX1dkiMinLcdF8K50wAa64wppsFNPp\npxf2uPp6+OUvw5cJrjYvvgjXXw8/+pGVI4hBuV/o3rLMNsADYjvjegJ3qOpjRRmVc9HaH/i8iBwO\nbAkMFJHfqWqnFAhVnQ5MB2hqaipfhajttoNp08r2cqGcemrUI4hOUDystdWCewxKD0A3gruqvgVE\nV6zYuRJR1e8B3wNIzNzPSQ3szv1HatnfQYOscXa+5y6KzMsPOOdcd6QG9xEjYpE55HnuReYdlaqL\nqj6tqt2sp+uqWmqrvXXrbN0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"text/plain": [
"<matplotlib.figure.Figure at 0x1f61adf82b0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Para acrescentar outros eixos na mesma figura, é só usar a função subplot(), \n",
"# passando o número de linhas, o n de colunas e o eixo que se deseja plotar. Exemplo:\n",
"\n",
"plt.subplot(1, 2, 1) # 2 linhas, 1 coluna, plotar no eixo 1\n",
"plt.plot(curva, 'y.') # plota esses dados no primeiro eixo\n",
"\n",
"plt.subplot(1, 2, 2) # 2 linhas, 1 coluna, plotar no eixo 2\n",
"plt.plot(aleat, 'r--') # plota esses dados no segundo eixo"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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3Es4kkWAJ9MaNcdvm3U40MiMEZ9qJhHfDXydOPx34v//jfjxeXHwxu1Jcc03h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\nL7e6mu/hJLelyKhRzKfU1FA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YKVPoSDut/QsCZaCseVy1sWNQnfcbaZaBEkKsFUK8J4R4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\ngg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1f61af8acf8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Outro exemplo:\n",
"\n",
"for i in range (1, 10):\n",
" plt.subplot(3,3,i) # nº linhas , nº colunas, nº plot\n",
" plt.plot(aleat, 'r-') # plota o mesmo gráfico 9 vezes\n",
" \n",
"plt.tight_layout() # para evitar sobreposição de imagens, usamos o tight_layout() que organiza tudo automaticamente"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<br>\n",
"<b>Outra forma (talvez a melhor) de se plotar diversos gráficos é usando Programação Orientada a Objetos </b><br>\n",
"Essa forma pode parecer mais complexa no início, mas quando você aprende, te dá mais possibilidades"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x1f61c4645c0>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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fvuUfl5HhSvILFpR/XCSPUfX67DO3kHlRUeXO69jR9Q4PxQQSIiXkHsplwJwB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\n/2zYWNIuGXcbAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1f61c3929e8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Instanciamos um objeto usando o figure()\n",
"fig = plt.figure()\n",
"\n",
"\n",
"# Em seguida adicionamos eixos a esse objeto com add_axes(), passando uma lista com as coordenadas de tamanho e localização\n",
"\n",
"eixos1 = fig.add_axes([0,0,1,1]) # São quatro valores de 0 - 1: começo do eixo x, começo do eixo y, largura e altura\n",
"eixos1.plot(curva, 'g*', label='curva')\n",
"eixos1.set_title('QUADRO GRANDE') \n",
"eixos1.legend(loc=4) # loc define a localização da legenda\n",
"\n",
"\n",
"# Agora vamos adicionar outros eixos de forma que tenhamos um quadro pequeno dentro do grande que já foi plotado\n",
"\n",
"eixos2 = fig.add_axes([0.1, 0.5,.4,.4]) # É aqui que escolhemos localização e tamanho (x, y, largura e altura)\n",
"eixos2.plot(aleat, 'r--', label='aleat')\n",
"eixos2.set_title('quadro pequeno')\n",
"eixos2.legend(loc=4) # Define a localização da legenda, passar um int de 0 a 10"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<b>Criando vários gráficos na mesma figura com OOP"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Perceba que usaremos usando tuple unpacking - \"desempacotamento de tupla\" na função subplots, onde: <br>\n",
"O primeiro item é a figura em si (ex: fig) e; <br>\n",
"O segundo é um objeto (ex: eixos) com o qual podemos iterar por todos os eixos criados"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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7exn55u7gy8gXZCQG1rVZXZpLfrrKyIuIiIxVyAKKmSUCvwG+5ZzbEKrzBqOj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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1f61c3ba358>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Subplot() => Parâmetros obrigatórios: nº de linhas e colunas - nrows e ncols ; \n",
"# Parâmetros opcionais: tamanho da figura - 'figsize' recebe uma tupla; resolução 'dpi' \n",
"\n",
"fig, eixos = plt.subplots(nrows=2, ncols=1, figsize=(8,6), dpi=70) \n",
"eixos[0].plot(reta, label = 'reta', lw=4)\n",
"eixos[0].set_title(\"Exemplo 1\")\n",
"eixos[0].set_yticks([2, 6, 15, 19, 25]) # determina ticks para o eixo selecionado \n",
"\n",
"eixos[1].plot(curva, '--', label = 'curva')\n",
"eixos[1].set_title(\"Exemplo 2\")\n",
"eixos[1].set_yscale('log') # adiciona escala logaritmica\n",
"\n",
"for eixo in eixos:\n",
" eixo.legend()\n",
" \n",
"plt.tight_layout() # impede sobreposição"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Outro exemplo com mais opções de personalização: <br>\n",
"Veja que podemos personalizar tanto a linha, quanto o marcador (marker) "
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(1, 18)"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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h8w89BF/7Gjz++MR/ABFVZHhZCBG1nC4PG8vqqG7pPvXY6bB5H0pBSqedrldjKVOKOZca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\nAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1f61c8723c8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure()\n",
"ax = fig.add_axes([0,0,1,1])\n",
"\n",
"ax.plot(curva, color='red', label = 'curva', ls= '-.') # ls - estilo da linha\n",
"ax.plot(reta, label = 'reta', lw=5, alpha=0.5, # lw - grossura da linha; alpha - transparência;\n",
" marker = '*', ms = 20, mfc = 'yellow', mew = 2, mec = 'purple') \n",
"# marker= marcador dos pontos; ms= tamanho; mfc= cor, mew= calibre da borda, mec= cor da borda\n",
"\n",
"ax.legend(loc=4)\n",
"ax.set_xlim(1,20) # escolhe limite de visualização para o eixo x\n",
"ax.set_ylim(1,18) # escolhe limite de visualização para o eixo y"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": false
},
"source": [
"<b>Existem outros tipos de gráficos, como dispersão, barras, degrau, preenchido e outros<br>\n",
"Para usá-los basta substituir o 'plot' que estávamos usando, pela respectiva função:"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
" OUTROS EXEMPLOS: \n",
"\n"
]
},
{
"data": {
"image/png": 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KGSX+F8DGLtL2XiZG8C0Fzo2IrXq6Vy8Fn6+nJTMv6CJ+SdIcFxF7RsSHmbyU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\ngI+FEF4eY+ysQt2SJEmSJEmSJEmbUrM5zpEj76HVGmdm5kGybAu12jMMu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KLLvG5i7F4U\nbnc6U3S7c0AEUtJ0mFJpO1l2PtyuAZCmdSqVWy6avZ1lWzbUn42kixl4S5IkSZKkzW16Gn7sxy6+\n7R3vgGFn/UiSpOLFGJmZ+WvGxz9Ks3mUZvMkjcaTxNiiUrmJSmUfIQx23BNjpNuduWjmdrc7C3SB\nhDQdIsu2kKb78n2360AgScpUKjdfFG6XSjsMt6VNZrDfASVJkiRJkq7V3By8610X3/a2txl4S5Kk\nwjUahxkf/yizsw/Rbp9lbu5xut1pSqWdVKv7SZLB2nM6xkiM83Q6s3S7Dbrd2TzkngE69ELsej5r\ne08+c3uIEBJCSKlU9i4E29XqfsrlPYSQFP1jSSqYgbckSZIkSZIkSdI60m6f49SpTzA5+UW63Vnm\n5h6n3Z4gTUcZGno+WTZadImX1Qu1W3S7c3S7cxeF291ug96sbYCEJKnmS5PvyGduDxNCCgTK5d2X\n7Lt9E0lSKvAnk7ReGXhLkiRJkiRJkiQVqN2eotF4ikbjSRqNJ5mbe4ROZ5pG45s0m0cJoUKtdoBS\nafu6Wa47xjadztxCsH0h4J4D2nmvQJJU8lnbW0mSGmlaI0lqJEkF6P0spdL2i5Ylr1RuJk0Ha/a6\npOIYeEuSJEmSJEmSJK2RTmeORuMp5ucvBNyt1mkAYmzR6UzTbk/SbB4lRqhWb6VcvrGQpbtj7F4U\nZPfavZnaMTYX+oVQJk3rC7O1e4F2jSSpLtQdQka5vJNSaRfl8k7K5V2USruoVPaQpkNr/rNJ2jgM\nvCVJkiRJkiRJklZBt9tifv7QQrDdaDxJs3kCgBg7+f7VUwuX3pLfEEKJUmknlcrNJEl5VWuMMeZL\njj99pnaM80DMa8ryELs3WztN6wvBdm8ZcoBAqbSdcnlXX7jda2fZDetmdrqkjcXAW1Kh2u02c3Nz\ndDod0jSlVquRZb41SZIkSZIkSRosMXaYnz+aB9tP5eH2EWLs5jOlZ2i3+8PtOXphckqaDpNl2/N9\nrEfymdHXLxzu7avdvGSm9vnLpftq10jTOuXyzouWIA/hwv7ZWbZl0dnapdJ2ksT/35W0tnzXkVSI\nU6dO8eSTT3L8+HFijAu3hxDYvXs3+/fvZ/v27QVWKEmSJEmSJEmLizHSbJ5YmLXdW578EDG2gEin\nM3vRzO1OZ5ZeqJyQpkNk2RbSdG8ebtevW7jd7bYWnandC9c7ea9AklRJklrfTO0qSVLPZ5P3aknT\net8M7V2USjsXZmv39t+WpPXBwFvSmpqcnOSBBx5gamqKubk5Tp48yczMDN1ulyRJGBoaYnZ2lmPH\njjEyMsI999zD2NhY0WVLkiRJkiRJAy+EcAvwA8ArgX3APPAY8NvA+2KMswWWt27FGGm3Ty/M2j4/\ng7s3M7q3HHinM9U3e3uGXrgcSJI6aTpCqbSbNB0hTYeueS/uGDuL7Kvdu/QCd4CQ76tdI8tGSJJd\nJEl1Idw+H2qHUFpk+fFeuN2r1SXIJa1/Bt6S1sz4+Dj3338/k5OTHDp0iKmpKUqlEqOjo2RZRrvd\n5vTp05w4cYKRkRH27dvH7Ows9913Hzt27Ci6fEmSJEmSJGlghRC+A/gwMNp3cx24N7+8IYTwyhjj\no0XUt56021MX7bndaDxFpzMFQLc7n4faF/bejrENkC//PUKptD0Pt4f79rZemd4S6I1FZ2r39tXu\nCaG0sI92qXTDwh7bvSXR07xPQqm0o2+G9oXZ2lm2xVBb0sAz8Ja0JiYnJ7n//vuZmJjg0UcfpVqt\ncvvtt7N161aS5MI3GrvdLmfOnOHYsWM8/PDD3HHHHdx///0cPHjQmd6SJEmSJEnSVQgh3AP8FlAD\npoGfBj6XH78GeCNwJ/CpEMK9Mcapompda53OHI3GU/mS5L2Au9U6DUCMrb5Z29N5uN0EIIQKaTpM\nubx3IdxOktKVnirfy7tFt9skxla+p3bv+uLbWwtLo/ekC3tpZ9noFfbV3nqZ2drbrjp4l6RBYOAt\naU088MADTE5O8uijjzI2Nsbtt99+UdB9XpIkbNu2ja1bt/LYY4/x6KOPkmUZDzzwAC9/+cvXvnBJ\nkiRJkiRp8L2bXrjdBr4txvilvvs+G0L4BvCz9ELvtwI/seYVroFut8X8/DcXZm03Gk/SbJ4AesuE\n98/a7nSm8iXLe7Ooe+H27r5wu0KMEegs7Jvd6UxeNsDudpv0/vj7BULI8lnaZZKkRAhD+XV5YZ/t\n/v2ye3VcPEu7d70z339bkjYfA29Jq+7UqVNMTU1x6NChhZndi4Xd/ZIk4fbbb+fBBx/k0KFDDA8P\nMzExwbZt29aoakmSJEmSJGnwhRC+BXhpfviBS8Lu894JvA44APxgCOEn44XNoAdSjB3m549etDR5\ns3k0n2Xdpdud6Zu9PUW3O0dvRnWaB811smwrIVQIIV0IrTud4xfNzIbuJc8cCOF8YF3KlxYfIUnK\nC8F27/5SHlBfvJx4CBlZNkqajlIqbb8o2C6Xe/tqS5IuZuAtadU9+eSTzM3NMTU1tayw+7wkSdiz\nZw+PPfYYc3NzPPnkkwbekiRJkiRJ0sq8qq/9wcU6xBi7IYTfoLfU+RbgFcBn1qC26yLGSLN5YiHY\n7i1PfmhhWfBOZ/aimdudzixPD6rP64Xh3e5M321JX1BdJk2HyLLFA+wQMi4NsZOkmofYI6Tp6EL7\nfLDd306SintqS9IKGXhLWlXtdpvjx49z8uRJSqUSW7duXdHjt27dSqlU4uTJk9TrddrtNlnmW5ck\nSZIkSZK0TC/Jr2eAv7xCv8/3tQ+yTgPvGCPt9umLZm43Gt/Mlx+PdLsNOp2pvtnbM0BnkTNlC0uH\n9wfXT5+JXV5k/+uQh96XBtYjlwTbI3mIfeW9vSVJ18bUSNKqmpubI8bIzMwMo6Ojy57dfV6SJIyO\njjIzM0OMkUajwfDw8CpVK0mSJEmSJG04B/LrR2OMl24i3e/hRR6zrkxMfJozZz5LpzMFQLc73zdr\nezoPvZOFIDtNRyiVtl20xPj5gDuEi/+fMoTkabOtzwfWT5+dPfy0x0uSimPgLWlVdTq9b092u92r\nnpmdpindbm+JoXb7Sv8mlyRJkqSrsGMHxFh0FZIkXXchhCqwPT88fKW+McYzIYQZYAjYt4Ln2LtE\nl93LPdeVdDpznDr1iXwP7vk83IYkqZFlo4RQ4ulLiZcvG2JfOis7SeouJS5JA8rAW9KqStPecj9J\nklx1WN3pdBZmhrucuSRJkiRJkrRsI33t6WX0Px94r2SJxUMrqugqpWmNLVtextTU/yBN64vMwH56\nsJ0klbUoTZJUMJMjSauqVqsRQmBoaIjTp0/T7XZXtKx5t9vl3Llz3HDDDYQQqFarq1itJEmSpGsR\nQrgF+AHglfRmhs0DjwG/DbwvxjhbYHmSJG1G/f+Z1lxG//n8urYKtVyzXbu+m127vrvoMiRJ64yB\nt6RVlWUZu3fvZnZ2lhMnTnDmzBm2bdu27MefOXOGVqvFzp072bNnjzO8JUmSpHUqhPAdwIeB0b6b\n68C9+eUNIYRXxhgfLaI+SZI2qUZfu7yM/uenRM+t4DmWWv58N3D/Cs4nSdKKmBxJWnX79+/n2LFj\njIyMcOzYMbZu3bqsWd6dTmfhcbVajf37969+sZIkSZJWLIRwD/Bb9GaDTQM/DXwuP34N8EbgTuBT\nIYR7Y4xTRdUqSdIm0z/mLmeZ8qH8ejnLnwMQY7zi3uDuiy1JWm3LX1dYkq7S9u3bGRkZYd++fTQa\nDR577DG63e4VH9Ptdnn88cdpNBrs27ePkZGRFc0MlyRJkrSm3k0v3G4D3xZj/KkY45dijJ+NMb4J\n+Ld5vzuBtxZVpCRJm02MsQFM5Id7r9Q3hLCVC4H3muzLLUnS9WDgLWlN3HPPPYyNjXHHHXcwOTnJ\ngw8+yMTExNOC7263y8TEBA8++CCTk5PccccdjI2Ncc899xRUuSRJkqQrCSF8C/DS/PADMcYvLdLt\nncBDefsHQwilNSlOkiQBPJhf3xFCuNKqr3f1tR+6bC9JktYZlzSXtCbGxsa47777uP/++8myjEOH\nDvHYY49RKpUYHR0lTVM6nQ7nzp2j1WoxMjLCXXfdtfC4sbGxon8ESZIkSYt7VV/7g4t1iDF2Qwi/\nQW+p8y3AK4DPrEFtkiQJvkDvy2lDwAuBr1ym38v62l9c7aIkSbpeDLwlrZkdO3Zw8OBBHnjgAYaH\nh5mbm+PkyZPMzMzQ7XZJkoQbbriBnTt3UqvVGBkZWZgZLkmSJGndekl+PQP85RX6fb6vfRADb0mS\n1srHgbfl7dexSOAdQkiA780PzwKfW5vSJEm6dgbektbU2NgYL3/5y5mYmOCJJ56gXq8TY1y4P4TA\nnj172L9/v3t2S5IkSYPhQH79aIyxfYV+Dy/yGEmStMpijH8RQvgzerO8Xx9C+PVFtiB5KxfG53fH\nGFtrWqQkSdfAwFtSIbZt28a2bdtot9s0Gg3a7TZZllGtVsky35okSZKkQRBCqALb88PDV+obYzwT\nQpiht5zqvhU8x94luuxe7rkkSdrEfpDeMuU14DMhhJ+iN4u7BrwGeFPe7xHgnYVUKEnSVTJVklSo\nLMsYHh4uugxJkiRJV2ekrz29jP7nA++VfAg4tKKKJEnS08QYHwghvBr4MDAK/NQi3R4BXhljnFrT\n4iRJukZJ0QVIkiRJkqSBVe1rN5fRfz6/rq1CLZIk6QpijL8LPBd4F71we5beft1fBX4EuCfG+Ghx\nFUqSdHWc4S1JkiRJkq5Wo69dXkb/Sn49t4LnWGr5893A/Ss4nyRJm1aM8Sngh/OLJEkbgoG3JEmS\nJEm6Wv1Lni5nmfKh/Ho5y58DEGO84t7gIYTlnkqSJEmStAG5pLkkSZIkSboqMcYGMJEf7r1S3xDC\nVi4E3u7LLUmSJEm6Lgy8JUmSJEnStXgwv74jhHClleTu6ms/tIr1SJIkSZI2EZc0lyRJWkPh7et/\n2dX447HoEiRJg+ULwEvpzd5+IfCVy/R7WV/7i6tdlCRJkiRpc3CGtyRJkiRJuhYf72u/brEOIYQE\n+N788CzwudUuSpIkSZK0ORh4S5IkSZKkqxZj/Avgz/LD14cQXrxIt7cCB/L2u2OMrTUpTpIkSZK0\n4Rl4S5KkgRFCuCWE8M4QwsMhhJkQwukQwv0hhH8TQqgXXZ8kSZvYDwJz9LZO+0wI4W0hhBeFEF4R\nQvgV4Gfzfo8A7yyqSEmSJEnSxuMe3pIkaSCEEL4D+DAw2ndzHbg3v7whhPDKGOOjRdQnSdJmFmN8\nIITwai6M1T+1SLdHgFfGGKfWtDhJkiRJ0obmDG9JkrTuhRDuAX6L3n+gTwM/Cnwr8HeB9+fd7gQ+\nFUIYKaRISZI2uRjj7wLPBd5FL9yepbdf91eBHwHu8YtpkiRJkqTrzRnekiRpELwbqAFt4NtijF/q\nu++zIYRv0Fsq9U56e4T+xJpXKEmSiDE+BfxwfpEkSZIkadU5w1uSJK1rIYRvAV6aH37gkrD7vHcC\nD+XtHwwhlNakOEmSJEmSJElSoQy8JUnSeveqvvYHF+sQY+wCv5EfbgFesdpFSZIkSZIkSZKKZ+At\nSZLWu5fk1zPAX16h3+f72gdXrxxJkiRJkiRJ0nph4C1Jkta7A/n1ozHG9hX6PbzIYyRJkiRJkiRJ\nG1hWdAEiPd84duxYkXVIktbYJe/76eX6bWYhhCqwPT88fKW+McYzIYQZYAjYt4Ln2LtEl5vON67L\nWD157adYbYcPX/GP+oKN9LPAxvp5NtLPAhvr59lIPwtsvJ/nEo7VA8PP1ZK0STlWDwzHaknaxNZi\nvA4xxtU4r5YphHAvcH/RdUiSCndfjPGrRRex3oQQdgAn88PfijG+Zon+J4CdwNdjjM9Z5nP4jyFJ\n0nI4Vq9Tfq6WJOUcq9cpx2pJUp9VGa9d0lySJK1n1b52cxn95/Pr2irUIkmSJEmSJElaZ1zSvHhf\nA+7L2+NAp8BatLjdXPgG4n3A8QJr0fL4mg2mzfi6pcCOvP21IgtZxxp97fIy+lfy67kVPMdSy5+X\ngbvozTR3rF49m/E9YFD42qxfvjarz7F6MPi5emV879h4fE03Hl/T5XOsHgyO1Svje8DG42u68fia\nrsyqj9cG3gWLMc4DLrWzjoUQ+g+PxxivfhNArQlfs8G0iV+3p4ouYJ2b6msPL6P/UH49vdwnWObf\ntceXez5dnU38HrDu+dqsX742a8axep3zc/XK+N6x8fiabjy+pivmWL3OOVavjO8BG4+v6cbja3pV\nVnW8dklzSZK0bsUYG8BEfrj3Sn1DCFu5EHgfWs26JEmSJEmSJEnrg4G3JEla7x7Mr+8IIVxpdZq7\n+toPrWI9kiRJkiRJkqR1wsBbkiStd1/Ir4eAF16h38v62l9cvXIkSZIkSZIkSeuFgbckSVrvPt7X\nft1iHUIICfC9+eFZ4HOrXZQkSZIkSZIkqXgG3pIkaV2LMf4F8Gf54etDCC9epNtbgQN5+90xxtaa\nFCdJkiRJkiRJKtSV9sGUJElaL36Q3jLlNeAzIYSfojeLuwa8BnhT3u8R4J2FVChJkiRJkiRJWnMG\n3pIkad2LMT4QQng18GFgFPipRbo9Arwyxji1psVJkiRJkiRJkgoTYoxF1yBJkrQsIYRb6M32fiWw\nF2gCjwIfAX4hxjhbYHmSJEmSJEmSpDVm4C1JkiRJkiRJkiRJGkhJ0QVIkiRJkiRJkiRJknQ1DLwl\nSZIkSZIkSZIkSQPJwFuSJEmSJEmSJEmSNJAMvCVJkiRJkiRJkiRJA8nAW5IkSZIkSZIkSZI0kAy8\nJUmSJEmSJEmSJEkDycBbkiRJkiRJkiRJkjSQDLwlSZIkSZIkSZIkSQPJwFu6RAghLvPyJ0XXulmE\nEHaGEL49hPCOEMLvhxBO9b0OH7qK8/39EMLHQgiHQwjz+fXHQgh/fxXK35Sux2sWQnjtCn4fX7u6\nP5Gk6y2EcG8I4cdCCJ/pez+eDiE8EkL4YAjhJUXXqIuFEH7mkvfelxdd02YXQrg5hPD2EMJXQwjj\nIYRGCOFQCOHP8jH47qJrlFQ8x9zNw7F643CMlzYXx+rNw7F643CsXn+yoguQpGU4cT1OEkJIgF8F\nXn/JXTfll1eFEH4N+L4YY/d6POcmdl1eM0kbUwjhT4GXLnJXGXhGfnltCOE3gDfGGJtrWZ+eLoTw\nfOCHi65DF4QQ3gL8NDB0yV1788tLgFHgX61xaZLWEcfczcOxeuNwjJc2F8fqzcOxeuNwrF6fDLyl\ny/sl4BevcP/MWhWii3wTeBj4tqt47E9yIex+APhZ4DHgduDfAvcAbwDGgX9/zZXqvGt5zc77X4Gj\nV7j/8DWcW9LauzG/Pgp8BPgzeu8VKfBi4K30voj0vUAJ+O4CalSu7wtjGXAS2FlsRQoh/AfgP+aH\njwDvB+4HJoFt9P5N852AX+CT5Ji7CThWbxyO8dKm5Fi9CThWbxyO1etXiDEWXYO0roQQzv9SvD3G\n+BNF1qKeEMLb6Q0a98cYT4QQ9gNP5Hf/eozxtcs4x53AX9P7R8VXgb8dY5zru78OfB64F2gDB2KM\nj17HH2NTuU6v2WuBD+aHt8YYn7zuhUoqRAjh94DfAH4nxthZ5P7twBeBO/ObXhZj/NM1LFF9Qgj/\nCngXvS8vfQx4W37XK2KMf1JUXZtVCOHvAn+UH/4G8IYYY+syfcvOAJE2N8fczcGxemNwjJc2J8fq\nzcGxemNwrF7f3MNb0roXY/zxGOPvxRivZZnsf8WFVS3e0h92588xC7wlP8yAH7qG59r0rtNrJmmD\nijF+e4zxtxf7MJ/ff4ret9jP+661qUyXCiHczIVvLr8Z8MNagfJZAb+UH/5/wOsv9+EawA/Xkhxz\nNz7H6o3BMV7avByrNz7H6o3BsXr9M/CWtOGFEALwj/LDh2OMX16sX3773+SH/yh/nCSpGJ/ra99e\nWBV6HzBMb3WOzxddjPg2env4AfxMjLFdZDGSNgzH3MHmWL0xOMZLuhLH6sHmWL0xOFavcwbekjaD\nW7mwH85S/6g4f/9NwP7VKkiStKRKX3vRb7prdYUQ/hnw7cBp4F8XXI56/ml+HYHfO39jCOGGEMIz\nQgg3FFOWpAHnmDugHKs3FMd4SVfiWD2gHKs3FMfqdc7AW7q8fxpCeDCEMBtCmAohfCOE8OshhFcU\nXZhW7Fl97YeX6Nt//4FVqEVX54MhhKMhhGYI4VQI4cshhP8UQrip6MIkrZqX9bUfKqyKTSqEsAV4\nd374I/kyeirei/LrJ2OMUyGE7w4hfA2YAB4BJkIIfxNC+NchhMrlTyNJF3HMHUCO1RuOY7ykK3Gs\nHkCO1RuOY/U6Z+AtXd6z6AWeNXpLjtwBfC/w2RDCx0IIY0UWpxXZ29c+vETfQ33tfatQi67Oy4E9\nQAnYBvwt4EeBR0MI31dgXZJWQb4v0r/ru+m3i6plE/tZYDfwReADBdciFn4v7soPT4UQ3g38JnD3\nJV3vBH6O3r9Zt6xhiZIGkGPuQHOs3iAc4yVdiWP1QHOs3iAcqweDgbf0dLPAfwXeCLwUuIfe/gw/\nSe/bOgCvAj4RQigVUqFWaqSvPb1E35m+9vAq1KKVeRz4L8A/Ab4lv7wG+Ai95WOqwC+HEN5UWIWS\nVsMP0ft9B/hvMca/LLKYzSaE8FLgDUAbeHOMMRZcknrGuPD57TnADwDHgP8duAGo05v58eW8z7cC\n/9ca1yhp8DjmDiDH6g3HMV7SlThWDyDH6g3HsXoAZEUXIK1DN8UYzy5y+x+GEN4L/D69EPxlwPcD\n71nL4nRVqn3t5hJ95/vatVWoRcv3MeDXF/kH4f3Ab4UQvh34b/Rmfb8rhPDJGOPxtS5S0vUVQngZ\n8J/zw5P0xlqtkRBCGfhVIADvijF+veCSdMFQX7tK70uar4gx/k3f7X8aQvg7wJeA5wHfGUL4WzHG\nr6xhnZIGhGPuYHKs3pAc4yUtyrF6MDlWb0iO1QPAGd7SJS4Tdp+/7wTwXUArv+kta1KUrlWjr11e\nom///hpzq1CLlinGOHmlbz/GGH8PeEd+WAdevyaFSVo1IYRn0/uyS0bvvfufxhhPFlvVpvPv6S3T\n9U3g7QXXoos1Ljn+tUs+XAMQY5yjt+3Hea9e1aokDSTH3IHmWL3xOMZLehrH6oHmWL3xOFYPAANv\naYVijI8Df5gf3hFCuLHIerQsU33tpZYp7/+21lLLn6t4v0pvaXPorbogaUCFEG4FPgNsBTrAa2KM\nf1psVZtLCOEu4G354VtijDNX6q81N3XJ8Weu0PeP6S2dB3Df6pQjaVA55g4ux+oNyzFe0kUcqweX\nY/WG5Vg9AFzSXLo6DwL/IG/fBBwtsBYt7XBfe+8Sfff1tQ+tQi26jmKMJ0MIE8B2er+LkgZQ/uWx\nPwJupPclln8RY/xEsVVtSj9EbyWUx4F6COE1i/S5u6/9d0IIu/P27/pBfnXFGOdDCOPAjv+/vfsJ\nta0s4wD8e7WEGpgDw4Kg68mBmJPColDqitTIQKFJECgVt5FQEGTg7Q/UQJwYlwIt0Zo48RJhKg1K\nxT93EBEFGhjSjZBAhBpIilhvg70OZ1/xnHvP6ey797f388DmfGutb2/ew2Kf3z68e31r2rXr55Tu\nfr2qXknyvrn5ADJ3fLJ6Dcl4YJ6sHp6sXkOyegwa3nAwuy6zzEp6fm585Vnmzh//8wJq4fB5P8LA\nqurSzFZO2Zp23dbdP19iSZts+7YeW0kePIf5x+fGlyfxj/niPZfk6DS+8Cxzt4+/uecsYGPI3LUg\nq9e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"text/plain": [
"<matplotlib.figure.Figure at 0x1f61c889a20>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print('\\n OUTROS EXEMPLOS: \\n')\n",
"n = np.array([1,2,3,4,5,6,7])\n",
"\n",
"fig, axes = plt.subplots(nrows=1, ncols=4, figsize=(10,4), dpi = 200)\n",
"\n",
"axes[0].scatter(aleat, aleat + 30*np.random.randn(len(aleat)), color= 'black', alpha = .3)\n",
"axes[0].set_title(\"Dispersão\")\n",
"\n",
"axes[1].bar(n, n**2, color='green')\n",
"axes[1].set_title(\"Barras\")\n",
"\n",
"axes[2].step(n, n**2, 'red', linestyle = '--')\n",
"axes[2].set_title(\"Degrau\")\n",
"\n",
"axes[3].fill_between(n, n**2, n**3, color=\"y\", alpha = 0.6);\n",
"axes[3].set_title(\"Preenchido\");\n",
"\n",
"plt.tight_layout()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [conda env:k35]",
"language": "python",
"name": "conda-env-k35-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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