{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Plotting in python using `matplotlib`\n", "\n", "The [matplotlib](https://matplotlib.org/) library is the standard when it comes to plotting in python.\n", "It is reasonnably easy to use, accomodates a wide variety of visualisation (including interactive plots), and offers plenty of possibilities to personnalize your plots.\n", "\n", "\n", "To begin using matplotlib, import it. Usually is imported with `Pyplot` - a collection of functions in the popular visualization package Matplotlib, and make matplotlib work like MATLAB." ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> if this line fails, you should install `matplotlib`. Please refer to the previous lessons to read details on how to install packages. We recommend you install `matplotlib` as part of [`scipy`](https://www.scipy.org/install.html) using anaconda or pip.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "During this tutorial we will learn:\n", " * How to plot data\n", " * How to decorate the plots: labels, titles, legend\n", " * Adding some colors to your plots\n", " * Multiple plot\n", " * How to save your figures\n", " * Plenty of other useful graphs to plot your data\n", " \n", "Also, in the Matplotlib documentation, you will find in the [gallery](https://matplotlib.org/gallery.html) many examples about how to plot your data in different ways." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Your first plot \n", "\n", "The function `plot()` accepts 1 or 2 lists with the same length.\n", "\n", "If you only give **one** list `plot(list1)`, the **Y axis** will correspond to the values of your list and the **X axis** will be the position of each value in the list." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "my_list = [1,2,3,8]\n", "\n", "plt.plot(my_list)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you give **two** lists `plot(x, y)`, the **first argument** will correspond to the **X axis** and the **second argument** to the **Y axis**." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x = [1,2,3,5]\n", "y = [1,2,3,8]\n", "\n", "# we give 2 arguments to the function plot()\n", "plt.plot(x, y)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### We can explain our plot and give a title and name the axis\n", "\n", "With the function `plt.title()` we can add the title to the plot.\n", "\n", "To label the axis we use the functions:\n", "\n", "$\\;\\;\\;\\;\\;\\;$ `plt.xlabel()` for the X axis\n", "\n", "$\\;\\;\\;\\;\\;\\;$ `plt.ylabel()` for the Y axis" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x = [1,2,3,5]\n", "y = [1,2,3,8]\n", "\n", "plt.plot(x,y)\n", "\n", "# We add the tittle and the name of our axis\n", "plt.title(\"First plot\")\n", "plt.xlabel(\"X values \")\n", "plt.ylabel(\"Y values\")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### How to personalize your plot?\n", "\n", "There are plenty of ways to change the way our plot looks.\n", "\n", "For example, we can change the colour of our line and the shape of it using this format:\n", "* 'b'$\\;\\;\\;\\;\\;\\;$blue color\n", "* 'g'$\\;\\;\\;\\;\\;\\;$green color\n", "* ...\n", "* '-.'$\\;\\;\\;\\;\\;\\;$dash-dot line \n", "* 'o'$\\;\\;\\;\\;\\;\\;$circle marker\n", "\n", "Also, you can modify the width of the lines and the size of the markers:\n", "\n", "`plot(x, y, color='green', marker='o', linestyle='dashed', linewidth=2, markersize=12)`\n", "\n", "\n", "We can find an extensive documentation [here](https://matplotlib.org/2.1.1/api/_as_gen/matplotlib.pyplot.plot.html) about the different colors and markers that you can use to personalize your plots." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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0ZzM78XDbiUj98pcFf+GqZ6+ixEv49Vm/5v7B92sWpjomkn+NlcBEM/vAzK4Pz7UqIvWUu/Obeb/hJ6/8BID7Bt3HnefeqUHD6qDDFnh3n+TufYGxQBdgqZnNMLNzoh1OROqWUi/lhy/+kP975/9ItmQeG/oYP+7z46BjSSUi+nsqPA9rj/BjK7AE+KmZ/SuK2USkjiksLmTR5kWkJqcy63uzyO6dHXQkqcJhR/0xs/uAi4F5wO/d/cPwqrvN7JNohhORuqVxg8a8cOULrMhbQb9O/YKOI4cRyRn8UqC3u19Xrrjvd3oUMolIHfJN4Tfc+dadlJSWAHBUo6NU3ONEJMMFT65i3Te1G0dE6hJ3Z+i/hvLW+rfYvW83fzj/D0FHkmqI6j1NZrbOzJaZ2WIzy41mWyJS+8yM353zOzLbZHJ91vVBx5FqisXI++e4+9YYtCMitaRgbwHpDdMB6N+5P4uuW6R73ONQlf9iZpZsZqtiFUZEgvfRxo/o9rduPLvq2bJlKu7xqcp/NXcvAT4Jz8NaEw68amYLzWxcRRuY2TgzyzWz3Ly8vBo2IyK1Yd7aeZw75Vy27NrCtGXTgo4jRyiSLpqWwHIz+xDYtX+hu18SwXv7uftGMzsamGtmq9z97fIbuPtEYCJAVlaWRx5dRGrT7FWzGfHUCPaW7GVUr1FMHlrp/RUSJyIp8L+p6c7dfWP46xYze4bQbZVvV/0uEYm1yR9P5prnr6HUS/nR6T/iL9/5i7plEkAkt0m+VZMdm1kTIMnd88PPLwB+V5N9iUj03Pv+vdz66q0A3HH2Hdxx9h0aVyZBRPJJ1nxCfekADYEGwC53b3aYt7YBngn/R0kBZrj7y0eQVURqkbvzmzd+w13v3AXAX7/zV27+9s0Bp5LaFMkZfNP9zy1UrYcCfSJ43xog84jSiUhUlJSW8MMXf8hDCx8i2ZKZPHQyYzLHBB1Lalm1Otk8ZDagadJF4tTekr2MenoUDy18iNTkVJ4Z8YyKe4KKpIvm8nIvk4AsoDBqiUQkqn7/zu+ZuXwmTRs25bmRzzGgy4CgI0mURHIXzZByz4uBdYS6aUQkDv3szJ+xaNMi7jj7Dk5rf1rQcSSKIumDvzoWQUQkerbs2kLz1OakpqSS3jCd50Y+F3QkiYFI5mTtYGbPmNmW8GOWmXWIRTgROXJrt6/lzEfOZMwzY8qG/JX6IZKLrJOB54D24cfz4WUiEge+KfqGvN15rN6+mvy9+UHHkRiKpA8+46Ax4R8zM03CKBInerftzetjX+eEVifQLPVwH1+RRBLJGfw2MxsdHlky2cxGA9uiHUxEam7u6rlMW/rfwcKy2mepuNdDkZzBfx/4O3AfoU+0vgfowqtIHfXUiqe4ctaVlHopPVr3IKt9VtCRJCCR3EWzHohk5EgRCdikRZO4bs51lHopt3z7Fk5td2rQkSRAGi5OJEHcM/8ern3+Wkq9lN8N+B33DbpPI0LWc7GYsk9Eosjduf3127l7/t0A3H/h/dx0+k0Bp5K6oNJf72Z2S/hr39jFEZHqKCkt4bo513H3/LtJSUph+uXTVdylTFV/v+2/kPr3WAQRkeopKi5i5KyRPLzoYdJS0pg9YjZX9roy6FhSh1TVRbPSzP4DtDezpeWWG6GBJU+ObjQRqcyuvbu4/InLeXX1qzRLbcackXM4q/NZQceSOqbSAu/uI82sLfAKuotGpM7YUbiDwdMH8/6G9zm6ydG8POplTml3StCxpA6q8iKru28GMs2sIXBCePEn7r4v6slEpEKNUhqR3jCdzs07M3fMXI5vdXzQkaSOimQ8+LOBKYSGCTago5llu7smzxYJQGpKKk+PeJpvCr/hmGbHBB1H6rBIbpK9F7jA3c929/6EZnO6L7qxRKS8ZV8tI3t2NntL9gKQ3jBdxV0OK5IC38DdP9n/wt0/JTTxdkTC49d8bGZzahJQpL4rKS3hu09+lylLpvCn9/4UdByJI5EU+Fwzm2RmA8KPh4HcarRxC7CyZvFEJDkpmRnDZjDm5DH89IyfBh1H4kgkBf4GYAVwc/ixIrzssMITg1wETKppQJH6avXXq8uen9ruVKZcNoW0lLQAE0m8OWyBd/cid7/X3S8PP+5z96II9/8X4DagtLINzGycmeWaWW5eXl6EuxVJbA8vfJju93dnypIpQUeROBa1kYjM7GJgi7svrGo7d5/o7lnunpWRkRGtOCJx4+5372bcnHGUeAkbd24MOo7EsWgONtYXuMTMBgNpQDMzm+buo6PYpkjccnd+/trPmfDeBAzjH4P/wQ3/E1FvqEiFIj6DN7PG1dmxu9/u7h3cvQtwBTBPxV2kYiWlJVz7/LVMeG9C2aBhKu5ypA5b4M3sTDNbAawKv840sweinkyknigqLmLEUyN45ONHaJTSiGeveJaRvUYGHUsSQCRdNPcR+nDTcwDuvsTM+lenEXd/E3izuuFEEl3B3gIum3kZr615jeapzZlz5Rz6deoXdCxJEBH1wbv7F2ZWflFJdOKI1B/bdm9j8IzBfLjxQ9o0acMro18hs21m0LEkgURS4L8wszMBN7MG6INLIkds486NXDDtAlbkraBLiy7MHTOX4446LuhYkmAiuch6PXATcAywEegdfi0iNXT3/LtZkbeCnhk9effqd1XcJSoOewbv7luBUTHIIlJvTBg4gQZJDfjlWb+kVeNWQceRBBXJcMGTAT94ubt/PyqJRBLUwi8X0qN1D5o0bEJqSip/HvTnoCNJgouki2YO8EL48TrQDCiIZiiRRPPamtc4a/JZDHtiWNmQvyLRFkkXzazyr83sceDdqCUSSUAdm3UkvWE6HZp1IMmiNkKIyAFqMlTB8cDRtR1EJJF1b92dheMW0qFZBw665VgkaiLpg88n1Adv4a+bgZ9HOZdIXHN3/vDuH0hvmM7N374ZgI7NOwacSuqbSLpomsYiiEiicHd+9urPuHfBvSRbMoOPH6zbICUQlRZ4Mzu1qje6+6LajyMS34pLixn3/DgmL55Mg6QGTLt8moq7BKaqM/iq7uFy4NxaziIS1wqLCxk5aySzV82mcYPGPP29pxl03KCgY0k9VmmBd/dzYhlEJJ7lF+Vz6cxLmbd2Hi3SWvDilS9yRsczgo4l9VxEd9GY2UlAT0ITdwDg7ppLTATYunsrg6cP5qMvP6JtelteHf0qvdr0CjqWSER30dwBDCBU4F8ELiR0H7wKvNR7G3Zu4IKpF7By60q6tujKa2Nf49iWxwYdSwSI7JOsw4HzgM3ufjWQCTSPaiqROPCfbf+h76N9Wbl1JScdfRLvfv9dFXepUyLpotnj7qVmVmxmzYAtgG7olXpt7fa19Jvcjy27ttCnQx9euPIFjmp0VNCxRA4QSYHPNbMWwMPAQkLj0Lwf1VQidVyn5p04q9NZ5O/N5+nvPU2Thk2CjiRyCHM/ZKDI0AqzfwAz3H1+uWVdgGbuvjQaYbKysjw3NzcauxaptoK9BUyYP4EHch9g2+5ttGrcihuybuC2vreR3jCdouIiAFJTUgNOKvWZmS1096yK1lV1Bv8p8Cczawc8ATzu7h9Xo9E04G0gNdzOU+5+R+SxRYJTsLeAPpP6sHr7agqLC4HQ3TJ3vXMXT614ig+v/ZD0hukBpxSpWqUXWd39r+5+BnA2sA141MxWmdkdZnZCBPsuAs5190xCs0B9x8z61EpqkSibMH/CAcV9v1Iv5bOvP2PC/AkBJROJ3GHvonH39e5+t7ufAowELiWCOVk9ZP+48Q3Cj4r7g0TqmAdyHzikuO+3r3QfD+Y+GONEItV32AJvZilmNsTMpgMvAZ8Al0eyczNLNrPFhO68mevuH1SwzTgzyzWz3Ly8vGrGF6l9e/btYevurVVus23PthilEam5Sgu8mQ00s0eBDcC1hGZ06ubuV7j7s5Hs3N1L3L030AE4PfyJ2IO3mejuWe6elZGRUbPvQuQIuTvzP5/PuOfH0e7P7Q67fatGmkdV6r6qLrLeDswAbnX37UfSiLvvMLM3gO8A/z6SfYnUpnU71jF1yVSmLJ3CZ19/Vra8XXo78nbnUVxafMh70lLSuCHrhljGFKmRqgYbO6LRIs0sA9gXLu6NgIHA3UeyT5HaULC3gKdWPEXOkhzeXPdm2fL2Tdszutdosntn06l5p0PuooFQce/Wshvj+44PILlI9dRkyr5ItQNyzCyZUFfQE+4+J4rtiRzWu5+/y6Bpg9i9bzcQKtiX9biM7Mxszj/2fJKTksu2XXDNAibMn8CDuQ+ybc82WjUK3Qc/vu943SIpcaHSDzoFQR90ktr26bZPWZm3kqE9hgKhs/d2f25H77a9yc7M5rs9v0vzNA2tJPGrph90Eolrn339Gd3v706LtBZsOm4TaSlppDdMZ90t62jVWBdJJfFFMpqkSJ1XXFrMi/95kV+9/quyZccddRz9O/fnsh6XkV+UX7ZcxV3qC53BS1xb9tUycpbkMH3ZdDYXbAZgTOYYerTuAcCb2W9iZkFGFAmMCrzEnbxdecxYNoOcJTl8vPm/wyOd0OoEsjOzD7hHXcVd6jMVeIkLRcVFvPCfF8hZksOL/3mx7P70FmktuOLEK8junc23j/m2CrpIOSrwUqd9VfAVd759J4//+3G+3vM1AMmWzEXHX0R2ZjZDug8hLSXtMHsRqZ9U4KXO2bV3V9kEGo0aNOLRjx9lT/EeTm5zMtmZ2VzZ60raprcNOKVI3acCL3VGflE+w58czuLNi/niJ1/QMLkhzVKb8c+L/0mvNr3o3bZ30BFF4opuk5TAuDsfb/rvRdL0hulsyt/EjsIdBywfkzlGxV2kBnQGLzG3ZvsapiyZwpQlU1i7Yy2f/vBTjm91PGbG1Mum0rF5R01gLVILVOAlJnYW7Swb4Ovt9W+XLT+m6TGs27GO41sdD0Bm28ygIookHBV4iZqS0hLmrZ1HzpIcnl75NHuK9wDQKKURl3/rcrIzszm367kHDPAlIrVHBV5q3aqtq8hZnMPUpVPZmL+xbHn/zv3JzsxmeM/hNEttFmBCkfpBBV5qVX5RPr0f6k1RSREAx7Y8lrEnj2Vs5li6tuwacDqR+kUFXmqs1EuZ8+kcnl75NA8PeZgGyQ1omtqUsZljKfVSsjOz6depnz5dKhIQFXipMcP4xWu/YOXWlQz71jCGdB8CwMQhEwNOJiKgAi8R2lywmelLpzN16VSeHvE0x7Y8FjPj531/zuaCzfzPMf8TdEQROYgKvFSqsLiQ5z55jpwlObzy2SuUeAkAjy97nF/1D427nt07O8iIIlIFFXg5gLuzYMMCcpbkMHP5THYU7gAgJSmFS064hOzMbC46/qKAU4pIJFTg65GCvQVMmD+BB3IfYNvubbRq3Iobs25kfN/xfL3na6YumcqUpVP4dNunZe85pe0pZQN8ZTTJCDC9iFRX1CbdNrOOwBSgDeDARHf/a1Xv0aTb0VOwt4A+k/qwevtqCosLy5anpaSRYikU7CsoW9Y2vS2je41mbOZYerXpFURcEYlQUJNuFwO3uvsiM2sKLDSzue6+IoptSiUmzJ9wSHGHUD97kiWRbMkM7zmc7MxsBnYbSEqS/rgTiXdR+yl2903ApvDzfDNbCRwDqMAH4IHcBw4p7vuVeimtG7XmX8P/FeNUIhJNMRku2My6AKcAH1SwbpyZ5ZpZbl5eXizi1BvfFH7DwwsfZsPODWzbva3Kbb8u/DpGqUQkVqL+d7iZpQOzgB+7+86D17v7RGAihPrgo50n0ZWUljB3zVxyluQwe9VsCosL+b9z/o9WjVuxdffWSt9XfqJqEUkMUS3wZtaAUHGf7u5PR7Ot+m75luXkLMlh2tJpbCrYVLb8nC7n0KtNL27MupF73runwm6atJQ0bsi6IZZxRSQGolbgLTQAySPASne/N1rt1Gdbd2/l8WWPk7Mkh4WbFpYtP+6o48jOzGbMyWPo3KIzAOd2PZdZK2dVeBdNt5bdGN93fMzzi0h0RfMMvi8wBlhmZovDy37p7i9Gsc16Yc6nc3jk40d44dMX2Fe6D4Dmqc0ZceIIsntnc0aHMw4Z4Cu9YToLrlnAhPkTeDD3Qbbt2UarRq24IesGxvcdT3rD9CC+FRGJoqjdBw7xeZ8AAAwySURBVF8Tug++Yvv/jfYX7aH/GspznzxHkiUxqNsgsjOzuaT7JTRq0CjImCISgKDug5da8Njix/jTe3/ivkH3MbDbQABu+fYtnNXpLEb1GkW7pu0CTigidZUKfB2zZ98eSrykrMtk/Y71LM9bzpMrniwr8Od2PZdzu54bZEwRiQMxuQ9equbuzP98PuOeH0e7P7fjHx/+o2zd90/5PrNHzOb+wfcHmFBE4pHO4AO0fsd6piyZwpSlU/js68/Kli/5aknZ847NO9Kxeccg4olInFOBj7GCvQU8teIpcpbk8Oa6N8uWt2/antG9RpPdO5ueGT2DCygiCUMFPgZKvZQ31r5BzpIcZq2cxe59u4HQPeiX9biM7Mxszj/2fJKTkgNOKiKJRAU+Bq5+9mqmLJlS9rpfp35kZ2bz3Z7fpXla8wCTiUgiU4GvZdv3bGfm8plktc8iq33o1tSLjr+It9e/zdiTxzI2cyzdjuoWcEoRqQ9U4GvZfQvu48637yQ7M5vHLn0MgGHfGsbwnsNJMt20JCKxo4pzBJZ+tZRbX7mVSYsmlS0bmzmW8489/4B5S5OTklXcRSTmdAZfTVt2bWHGshnkLMlh8ebQEDu9ju7FD075AWbGcUcdx9wxcwNOKSKiAh+RouIi5nw6h5wlObz02UsUlxYD0DKtJVecdAXZmdkBJxQROZQKfCXcnY++/IicxTk8/u/H2V64HYBkS+biEy4mOzObIScMITUlNeCkIiIVU4GvwJPLn+S3b/6WVVtXlS3LbJNJdmY2V/a6kjbpbQJMJyISGRV4YPe+3eQX5ZcV7n2l+1i1dRVHNzmaUb1GkZ2ZTWbbzIBTiohUT70v8LNWzOLqZ6/muz2/yyNDHwHg0h6X8vzI5xnUbRANkhsEnFBEpGbq3b17a7avYcGGBWWvTzz6RPL35vPFzi/KJtZo3KAxF59wsYq7iMS1enEGv7NoJ08uf5KcJTm88/k79G7bm4+v+xiAHq17sPaWtXRp0SXYkCIitSyuC3zB3gImzJ/AA7kPsG33Nlo1bsWNWTcyvu94GqU04vW1r5OzJIdnVj7DnuI9QOjs/KSjT6KwuJC0lDQAFXcRSUhRm5PVzB4FLga2uPtJkbynOnOyFuwtoM+kPqzevprC4sKy5anJqTRNbUqDpAZsKthUtvzszmeTnZnN8J7DaZratFrfi4hIXRXUnKyPAfcDUw6zXY1MmD/hkOIOUFRSRNHuIgCObXks2ZnZjDl5DF1bdo1GDBGROitqBd7d3zazLtHa/wO5DxxS3MtrkdaCz370GWYWrQgiInVa4HfRmNk4M8s1s9y8vLyI37dt97Yq1+8s2qniLiL1WuAF3t0nunuWu2dlZGRE/L5WjVtVvb5R1etFRBJd4AW+pm7MurHsLpiDpaWkcUPWDTFOJCJSt8RtgR/fdzzdWnY7pMinpaTRrWU3xvcdH1AyEZG6IWoF3sweB94HupvZBjP7QW3uP71hOguuWcBtZ95GRuMMkiyJjMYZ3HbmbSy4ZgHpDdNrszkRkbgTtfvga6I698GLiEjV98HHbReNiIhUTQVeRCRBqcCLiCQoFXgRkQRVpy6ymlkesL6Gb28NbK3FOLVFuapHuapHuaonEXN1dvcKPyVapwr8kTCz3MquJAdJuapHuapHuaqnvuVSF42ISIJSgRcRSVCJVOAnBh2gEspVPcpVPcpVPfUqV8L0wYuIyIES6QxeRETKUYEXEUlQcVXgzexRM9tiZv+uZL2Z2d/M7DMzW2pmp9aRXAPM7BszWxx+/DZGuTqa2RtmtsLMlpvZLRVsE/NjFmGumB8zM0szsw/NbEk41/9WsE2qmc0MH68PojktZTVzXWVmeeWO1zXRzlWu7WQz+9jM5lSwLubHK8JcgRwvM1tnZsvCbR4ysmKt/zy6e9w8gP7AqcC/K1k/GHgJMKAP8EEdyTUAmBPA8WoHnBp+3hT4FOgZ9DGLMFfMj1n4GKSHnzcAPgD6HLTNjcBD4edXADPrSK6rgPtj/X8s3PZPgRkV/XsFcbwizBXI8QLWAa2rWF+rP49xdQbv7m8DX1exyVBgiocsAFqYWbs6kCsQ7r7J3ReFn+cDK4FjDtos5scswlwxFz4GBeGXDcKPg+9CGArkhJ8/BZxnUZ78N8JcgTCzDsBFwKRKNon58YowV11Vqz+PcVXgI3AM8EW51xuoA4Uj7Izwn9gvmdmJsW48/KfxKYTO/soL9JhVkQsCOGbhP+sXA1uAue5e6fFy92LgGyDqEwBHkAtgWPjP+qfMrGO0M4X9BbgNKK1kfSDHK4JcEMzxcuBVM1toZuMqWF+rP4+JVuDrqkWExovIBP4OzI5l42aWDswCfuzuO2PZdlUOkyuQY+buJe7eG+gAnG5mJ8Wi3cOJINfzQBd3PxmYy3/PmqPGzC4Gtrj7wmi3VR0R5or58Qrr5+6nAhcCN5lZ/2g2lmgFfiNQ/jdxh/CyQLn7zv1/Yrv7i0ADM2sdi7bNrAGhIjrd3Z+uYJNAjtnhcgV5zMJt7gDeAL5z0Kqy42VmKUBzYFvQudx9m7sXhV9OAk6LQZy+wCVmtg74F3CumU07aJsgjtdhcwV0vHD3jeGvW4BngNMP2qRWfx4TrcA/B4wNX4nuA3zj7puCDmVmbff3O5rZ6YSOe9SLQrjNR4CV7n5vJZvF/JhFkiuIY2ZmGWbWIvy8ETAQWHXQZs8B2eHnw4F5Hr46FmSug/ppLyF0XSOq3P12d+/g7l0IXUCd5+6jD9os5scrklxBHC8za2JmTfc/By4ADr7zrlZ/HlNqnDYAFprIewDQ2sw2AHcQuuCEuz8EvEjoKvRnwG7g6jqSazhwg5kVA3uAK6L9nzysLzAGWBbuvwX4JdCpXLYgjlkkuYI4Zu2AHDNLJvQL5Ql3n2NmvwNy3f05Qr+YpprZZ4QurF8R5UyR5rrZzC4BisO5ropBrgrVgeMVSa4gjlcb4JnweUsKMMPdXzaz6yE6P48aqkBEJEElWheNiIiEqcCLiCQoFXgRkQSlAi8ikqBU4EVEEpQKvMQVMys4/FZHtP8MC416+LGZnRXNtiLI0sXCI5SaWZaZ/e0w214Zu3QSD1TgRQ50HrDM3U9x93dqa6fhT3HWmLvnuvvNVWzSBVCBlwOowEtgzOyPZnZTudf/z8x+ZmbpZva6mS2y0NjZQyt47wArN863md1vZleFn59mZm+FB3R6paLR+MJnvPPCg029bmadzKw3cA8w1ELjdTc66D3nhc/sl1loDoDU8PJ1+4dRCJ9pv1nu+5lqZvOBqQft67Jwu2Zm7czsUzNrW8WxKvt+zexs++845h+HPx35R+Cs8LKfHObQSz2hAi9Bmgl8r9zr74WXFQKXhQdlOgf48/5hCw7HQmPc/B0Y7u6nAY8Cd1Ww6d+BnPBgU9OBv7n7YuC3hMYs7+3ue8rtNw14DBjh7r0IfRLxhggi9QTOd/eR5Re6+zPAJuAm4GHgDnffHMn3CPwMuCk8+NhZhD7p+wvgnXDu+yLcjyQ4FXgJjLt/DBxtZu3NLBPY7u5fEJrs4PdmthR4jdBwqW0i3G134CRgbngYhF8TGrDpYGcQmgwCQmfX/SLY71p3/zT8OofQRC+H81z5XxQH+RFwO1Dk7o9HsK/95gP3mtnNQIvwMLwih4irsWgkIT1JaNyZtoTO3gFGARnAae6+z0KjAqYd9L5iDjxB2b/egOXufkbUEh+qfJaDc+6q4n0dCI1X3sbMkty9qrHLy7j7H83sBUJjlsw3s0HVDSz1g87gJWgzCQ1ANZxQsYfQkLJbwsX9HKBzBe9bD/S00JyfLQhdHAX4BMgwszMg1GVjFU8W8h7/HfhqFHC4C6qfAF3M7Ljw6zHAW+Hn6/jvcLPDDrMfwrlSCHUfjSQ0kuFPI3lf+L3d3H2Zu98NfAT0APIJTX8oUkYFXgLl7ssJFaaN5YZFnQ5kmdkyYCyHDtlLuCvnCULDrT4BfBxevpfQL4u7zWwJsBg4s4KmfwRcHe4GGgMcMvH3Qe0VEhrZ78lwrlLgofDq/wX+aqFJlEsi/NZ/SajP/F1Cxf0aM/tWhO/9sZn9O5x9H6E5PJcCJRaaAUsXWQXQaJIiIglLZ/AiIglKBV5EJEGpwIuIJCgVeBGRBKUCLyKSoFTgRUQSlAq8iEiC+v+qXtpz70PrRgAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x = [1,2,3,5]\n", "y = [1,2,3,8]\n", "\n", "plt.plot(x,y, color='green', marker='o', linestyle='-.', linewidth=2, markersize=8)\n", "\n", "plt.title(\"First plot\")\n", "plt.xlabel(\"value of our x list\")\n", "plt.ylabel(\"Value of our y list\")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Playing with the plot size\n", "\n", "We can define the size of our plot, to make it bigger or smaller, using the function `plt.figure()` and asigning the size values of our plot to the argument `plt.figure(figsize=(width,height))`." ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x = [1,2,3,5]\n", "y = [1,2,3,8]\n", "\n", "# first, we create our figure with the size that we want\n", "fig = plt.figure(figsize=(4,2))\n", "\n", "plt.plot(x, y, color='green', marker='o', linestyle='-.', linewidth=2, markersize=8)\n", "\n", "plt.title(\"First plot\")\n", "plt.xlabel(\"value of our x list\")\n", "plt.ylabel(\"Value of our y list\")\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(5,5))\n", "\n", "plt.plot(x, y, color='green', marker='o', linestyle='-.', linewidth=2, markersize=8)\n", "\n", "plt.title(\"First plot\")\n", "plt.xlabel(\"value of our x list\")\n", "plt.ylabel(\"Value of our y list\")\n", "\n", "plt.show()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### A different example\n", "\n", "Let's generate 100 numbers between 0 and 10.\n", "Then let's apply the sin and cos function and plot the result" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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/jyefvyWBPcW15JY36i1HdxzxKzUHKJVSnpVSdgGvA4N9gx8EXnPAed2Def+mxQr2//bqpj9+dIaIAG/uy47XUdjw+OodSdS3dvHGkYt6SzEAKNoMtYXaj6y7rgasJCyE2Cztu282A9rc7PbuXp5c6B5ZcoPxufmTCfL15DcfGqsCR3zTJgBlfV6XW7bdgBBiEpAAfNhns68QIkcIcVAIcddAJxFCPGnZL6e21o0GrYwLgZmf1fKqGyvIq2jk49O1PHFLAr5e+hbQDIc5CWHcNDmUv3x8lq4es95yxjZSwie/hrBErYrd3RECFnwD6kuheBsd3b28uP88dyRHkhzj4n5IIyDI14vHFiSwu6Ca09Vju67A1bccDwBvSyn7+iEmWYYpPwT8WgjRb0c2KeVfpJTZUsrsyEjnDpS3mXlfBmmGw3/mj3vPEOjjySPzJumtath85Y4kLjV2GNXGelN2WKsbuPkrYHL/mwhAc1+FTIT9v+Hto+XUt3bxJRc3VbSHR2+ehI+niRc+Pa+3FF1xhCGoAPr6QOIs2/rjAa5zC0kpKyx/zwJ7gZkO0ORaQidD6lrMR17go7yzPDxvEkG+XnqrGja3T4skJSaQFz49bwyv0ZODfwDfYK25nCp4eGoDbMoOcWDvVmbEhzA3Qb9+WrYSHuDD+pkT2HCsnMtjuEW7IwzBEWCqECJBCOGN9mN/Q/aPECIFCAUO9NkWKoTwsTyPABYAapb8zf86pq4m7vf4mMcXTNZbjU0IIXhs/mQKK5s4fK5BbzljkysXtbGQsx9znyri4TLzYbq8g1nX+jZfXjgF4egZyk7m8QUJdPaYeW0Mx8nsNgRSyh7ga8BOoBB4U0qZL4T4oRCibxbQA8Dr8tpbzlQgRwhxEtgDPCelVNIQtEVlcYxkvjJuF9EB6qwGrKzLmkDwOC9e3H9ebyljk8N/AQTMeVJvJbbj7c8m71Us9jjG0lj1ZmMnxwSyICmcf+y/QHfv2IyTOSRGIKXcJqWcJqVMlFI+a9n231LKTX32+b9Syqeu+9x+KWWmlHKG5e/zjtCjBxuPX+LPXSuI6K7U0kkVY5y3Bw/MiWdXQTUVxqB719LZAkf/AWnrIDhObzU2U1TVxM/qFoAw4XHMcYPuXckTCxKoaupge97IBu+ojpvnp6mBlJKX9p+nIuoOZHAcHFHTnn123iSklEaBmas58Sp0Nmo1KQryz4MXaPQMp2fqSjj+MnSrdyNxR3IUk8P9+PsYHVxjGAIHcOhcA8XVzXx2wRTE7Mfg3EdQp14fk7hQP5akRfPa4YtGi2pXIaU2C3jCbIi/SW81NtPc0c27xypYM2M83jc/qQ1syt+otyybMZkEjy9I4ETZFU6UXRn6A6MMwxA4gJf2nyfEz4t1WRNg5ue0aVJH1VwiPzY/gStt3Ww6cUlvKWODiwe0dhLZn9dbyYh493gFrV29fHbeJK3lRMQ0bVaHgtw9awLjvDx47dDYCxobhsBOKhvb2VVQzWey47UCssBoSFkNJ165oQeLCsybEsa06ABeOWS4h1xCzgvgE6xGAdl1SCl5+cAFZsQFMyM+RCswu+kLUJEDl47rLc9mAn29WDtjPJtOXqJ5jDViNAyBnbyVU06vWfLw3D4FZNlPaEvkgvf0EzZChBA8cNNETpY3UnCpSW85o5u2Bu07Mv1+bfqXYhw820BJTcu1xZMzHgAvf2VXBQ/OnUh7dy/vjbEVsWEI7MBslryZU8aCpHAmhve5kBMWQngS5PxdP3F2sH7mBLw9TLyZUzb0zgYj5+Rr0NsJ2Y/rrWREvHr4IsHjvFjTt8Oub7Bm2HLfhnb1fO0z4oJJjQ3i1UMXx1RxpWEI7GD/mXrKL7dz//XN5YSA2Y9D2UGoztdHnB2E+nuzPCOGDcfKjaCxs5ASjr4IcTdBdLreamzmSlsXO/OrWD9zwo09tWY/Bj0dw5pr7G4IIXhoTjwFlU3kVoydrqSGIbCDN3LKCB7nxbL0mBvfzHoIPHzg6EuuF+YAHrgpnqaOHnaM0bxqp2MNEs9WczWw6eQlunrMN94EAcTO0IbqHP+n64U5gHUzJ+DrZeK1w2MnaGwYghFyubWLnXkD3BGBNsEsZRXkvgU96vUwmTclnEnhfrw+hsvuncrRF5UNEgO8mVNGxoQg0sYH3fimEDDzEa2B3iAzvd2VIF8v1kwfz3snLtHS2aO3HJdgGIIRsvFEBV29Zj5z0yAzB7IehvYGOL3DdcIchMkkuD87noNnGzhX16q3nNFFRxMUbILMe5UMEudfaiSvoqn/1YCVzPvB5KVlzynIA3Mm0tbVy9ZTYyNobBiCESCl5I0jZVcDSwOSeAcExmqVowpy3+w4PEzCWBU4moKN0NOuuQ8V5K2ccrw9TYOPYfUPh+QVcPJ1JVfEsyaGMCXCn3eOjY3W7IYhGAG5FY0UVTVz/2CrAdB6yk//DJTsguZq14hzIFFBvtyRHMnG4xX0msdOBoXTOfEahE/VqokVo7Onl40nKliWHkOIn/fgO8/8LLTVQclO14hzIEII7pkdx+FzDZQ1tOktx+kYhmAEbDhWgbenidXThzGYPuthkL2Q+6bzhTmB9TPjqG7q5MCZer2ljA4azsHF/ZD1oOZLV4zdBdVcaevm/uxhNMdLXKStiBUNGt81cwJCwDvHyvWW4nQMQ2Aj3b1mNp+8xJLUaILHDaPddOQ0LUXw+CtayqBi3JkaRaCvJxvGwMXgEk6+DgiY/oDeSkbE20fLGR/sy/zEiKF39vDUCsxKdiu5Ip4QMo6bp4Sz4VjFqK8pMAyBjXx8upb61i7Wz+x3LHP/ZD2kDSRXsOze18uD1dNj2ZFfResYyaBwGmazVkQ25TYItuH74ybUtXSyr6SOu2ZOwMM0zNXMjIe0FbGCNQUA98yK42JDGzkXLustxakYhsBGNhyvIMzfm9uSbZibnH63VlNw8rWh93VD1s+Mo62rl535Rk2BXVw8AFcuaD+OCrLl5CV6zZK7bLkJipwGsVlw6g3nCXMiyzNi8PP24J2jo3tF7BBDIIRYLoQoFkKUCiGe6uf9x4QQtUKIE5bHF/q896gQosTyeNQRepxFU0c3uwuqWTM9Fi8PG/7TjQuB5OWQtwF61burzp4USlzoON49PjYyKJzGydfAOwBSV+utZES8e+ISabFBTIsOtO2D0++HyhNQe9o5wpyIv48nKzJi2XqqclRX2dttCIQQHsDvgRVAGvCgECKtn13fkFJmWR5/s3w2DHgGmAvMAZ4RQoTaq8lZbM+tpKvHzPpZI5gilXm/lkFxdq/DdTkbk0lw98wJfFpaR1Wjeh1V3YLuDq3BXOpa9WYSA+fqWjlZdsU2l6iVjHtAmJRNmLhn1gSaO3vYXaBenGO4OGJFMAcolVKelVJ2Aa8D64b52WXAbillg5TyMrAbWO4ATU5hw7EKpkT4MyMu2PYPT12iVZLmvuV4YS5g/aw4zBLeO2GsCkZEyS7obILp9+mtZERsPF6BEFzbYG64BMZAwm3ad1/BoOvcKeFEB/mw6eToLS5zhCGYAPRtU1lu2XY99wghTgkh3hZCWBPwh/tZhBBPCiFyhBA5tbW1DpBtG+WX2zh0rsGSUjaCtD9PH0hbq80z7lIvLzkhwp+s+BDDPTRS8t4G/0iYvFBvJTYjpWTjiQrmJ4YTE+w7soNM/wxcPg/lRxyqzRV4mARrpo9nb3ENjW2jc06Bq4LFm4HJUsrpaHf9Nndik1L+RUqZLaXMjoy0IVDrIDafrATgriw7sj2m3w9dLXB6u4NUuZZ1WeMpqmqmtKZZbylq0dEExTssSQOeequxmRNlV7hQ32bfdz91NXiOUzZovDZrPN29kh35lXpLcQqOMAQVQN8S2zjLtqtIKeullJ2Wl38DZg/3s+7C5pOXyIoPuXbugK1MWqAV2OS+7ThhLmRVZixC/MsoGgyToq3a3IHMe/VWMiI2Hq/Ax9PE8ox+uuwOF59ASFlpSZhQ7646c0Iwk8P9Rq17yBGG4AgwVQiRIITwBh4ANvXdQQgR2+flWqDQ8nwnsFQIEWoJEi+1bHMrztS2UFDZNDL/aF9MHlrgrGS3Np1KMaKCfJmXEM7mk5dGfYGNQ8l9C0ImaoWFitHTa2ZrbiWLU6MJ9B1GAeVgZN6vNWE886FjxLkQIQRrZ4xn/5l6appGX8KE3YZAStkDfA3tB7wQeFNKmS+E+KEQYq1lt28IIfKFECeBbwCPWT7bAPwIzZgcAX5o2eZWbDlZiRDaHbHdZN4H5m4lx1iCFiw8W9dKvjHGcni01GqZYhn3KtlS4tC5Bupaulg93QHf/cRF2gSz/HftP5YOrM0aj5Sw5dToWxE7JEYgpdwmpZwmpUyUUj5r2fbfUspNludPSynTpZQzpJR3SCmL+nz271LKJMvjBUfocSRSSjadrGDO5LCRB8r6EjtDazimaKXliowYPE2CzWOkPa/dFGzUKmsVdQttOXUJf28P7kiJsv9gnt6QskZzlXWrd1edFBVIamzQqHQPGZXFQ1BU1cyZ2lZW2+sWsiKENozkwqfQUuOYY7qQUH9vbp0awZaTlYZ7aDjkvg2RqUqOo+zuNbM9r4rFadH9D18aCRnrtTTaMx845nguZl3WeE6UXeFivXqZf4NhGIIh2HLqEh4mwQp7AmXXk74epBkKNw29rxuyZsZ4Kq60c+yiesPJXUpjuTa3OuMevZWMiE9L67jS1j28LrvDJeE2GBemrHvIGiccbStiwxAMgpSSzScrmZ8YTkSAj+MOHJUKEcmQv9Fxx3QhS9Ki8fE0sXkULpEdSoHF0Cs6jnLLqUoCfTxZOG0YnUaHi4eXVk9TvB262x13XBcxIWQcWfEhbB1lcQLDEAzCqfJGLja02Z8tdD1W99D5T5Rszxvo68UdyVFsza3EbAysGZiCjdoQ94gkvZXYTFePmZ35VSxJj8bH00FuISvp67V6mpJdjj2ui1iVGUtBZRPnR9EIV8MQDMLW3Eq8PATL0hzoFrKSfhcglXUPrZweS21z56hvzztiGiug7BCk3aW3khGxr6SW5o4e1jjSLWRl0i1alXXeBscf2wWsyNR+D7bljZ5VgWEIBkBKybbcShYkRRDsZ2f+dH9EpWpBREV9pYtSovDxNLEtd/RcDA7FauDT1TQEW05VEjzOiwVJDnQLWfHwhLR1cHondKl3Vx0X6kdWfMio+u4bhmAA8iqaKL/czsoMB+RPD0T6eriwH5rU+0IF+Hhy27RItucZ7qF+yX/X4haaqrcSm+ns6eX9gmqWpUfj7emkn4j09dDTDqd3OOf4TmZVZix5FU2jJnvIMAQDsC2vEg+TYElatPNOorp7KDOW6qZOjpcZ7qFrUNwt9GlpHc2dPaxwRAHlQEy8Gfyj/hVQVwyre2jrKFkVGIagH6SUbM/VsoVC/b2dd6LIZIhKV9Y9dGdqFN4eJraeMiaXXYPibqFtuVUE+nqyYDhziUeKyUNrRFeyW8nsobhQP2aMIveQYQj6obCymfP1bax05h2RlbS1cPGgstlDC6dFGO6h68nfqBl4Bd1C3b1mdhdUsyTViW4hK6lrobsVStUsLluVGUNuReOocA8ZhqAftudVYhKw1JluISupawGpzSlQkJWZsVQ2dnCy3CguA7R4T9lBZVcDB87U09jebV+n0eEy+RYYF6ps360VlvjhaMgeMgzBdUgp2Zpbybwp4YQ7sohsIKJSISxR2TjBnanReHmIUbNEthurQU9dO/h+bsr2vCr8vT1YOM0FMz88vCBllRYw7ukcen83Iz7Mj+lxwezIU981ahiC6zhd3cLZ2lbnBsr6IoTmHjq3T8nW1MHjvLh1aiTbcquM3kMAhZu1poKRyXorsZles2RXfhV3pEQ5rrfQUKSu03oPnf3INedzMMvSYzhRdoXKRvXiHH0xDMF1bM/TWk4vS3eBW8hK6lqtQ2XxNted04EsT4+h4kq70Zq6rUGrFk9bq2TL6cPnGqhv7XJNbMzKlNvAJ0hZ95DVhbYrX70YX18MQ3AdO/KqyJ4USlSgA1pOD5fxMyF4orKpdIvTojEJ2Jmv/hLZLoq3aQY9dY3eSkbE9rxKfL1M3J7swlGwnj6QvAKKtyo5uSwxMoCpUQFsV4gUgA0AACAASURBVDxO4BBDIIRYLoQoFkKUCiGe6uf9/xBCFFiG138ghJjU571eIcQJy0PXX8IL9a0UVTWzLN0FgbK+CKH9eJzdo823VYwwf2/mJoSPCl+pXRRu1gx6bJbeSmzGbJbszK/itmmR+Hm7eK5y6lpovwzn97n2vA5ieUaMtppqUS/OYcVuQyCE8AB+D6wA0oAHhRBp1+12HMi2DK9/G/hZn/fapZRZloeuETbrHa3LDQFo7oTeLmUbcS1Lj6akpoUztS16S9GHzmZtBGPqGiXdQifKr1Dd1OmabKHrSboTvPygUM3MueUZMZglvF+ornvIESuCOUCplPKslLILeB1Y13cHKeUeKaU12fYg2pB6t2NnfjVpsUHEh9kxoH6kxM2BgGhlfaVLLcZzzLqHTu/UDLmibqGd+VV4mgSLkl0YG7PiNU4zBkVbwWx2/fntRPvNGKf0itgRhmACUNbndbll20B8Htje57WvECJHCHFQCDFg8rUQ4knLfjm1tbX2Ke6HmqYOjl28rM8dEYDJpKXSlb6vZKXl+JBxzIgLZqfCF4NdFG7WWibEz9Fbic1IKdmVX83NieHOabA4HFLWQEsVVBzV5/x2IIRgeXoMn5bW09ShXpwDXBwsFkI8AmQDP++zeZKUMht4CPi1ECKxv89KKf8ipcyWUmZHRjo+mLWroBopdXILWUlZDd1t2rBzBVmWEcPJ8kYuXVHPkNlFd7vWKiFlldY6QTFKalo4V9d6dVWnC9OWgskTijbrp8EOlmfE0NVrZk+ReuNnwTGGoAKI7/M6zrLtGoQQi4HvA2ullFejKlLKCsvfs8BeYKYDNNnMzvwqEiL8mRYdoMfpNSbfCj7B6vpK062pdGNsVXB2r9YqIXW13kpGhHUV55JK+oEYF6p9/wu3gIL1KDPjQ4kK9FHWPeQIQ3AEmCqESBBCeAMPANdk/wghZgJ/RjMCNX22hwohfCzPI4AFQIEDNNlEY1s3B87UszQ9GqFnoM/TW7szKt4GvT366RghUyypdDsVz6m2maItmgGfvFBvJSNiZ0EVMyeGEB3kwpTp/khdDQ1noLZIXx0jwGTpVPzR6Vo6unv1lmMzdhsCKWUP8DVgJ1AIvCmlzBdC/FAIYc0C+jkQALx1XZpoKpAjhDgJ7AGek1K63BB8WFxNj1levaPVlZTV0N6g9atRkOUZMRw6V09Da5feUlyDuVebvzttqWbIFaOsoY28iiZ9XaJWkldpfxVdES9Nj6Gtq5f9Z+r0lmIzDokRSCm3SSmnSSkTpZTPWrb9t5Ryk+X5Yill9PVpolLK/VLKTCnlDMvf5x2hx1Z25VcTHeTDjLgQPU5/LUmLwcNH3YshTUul+1BRX6nNlB2CtnotPqAguwq01ZtbGIKgWIi7Sdk4wc1Twgn08VSyynjMVxZ3dPfy0elalqRFYzK5Qf63TwAk3qGl0inoK82YEERssO/YiRMUbgEPb82AK8jO/CqmRQeQEOGvtxSNlNVQeRKulA29r5vh7Wni9pQo3i+splextuxj3hB8WlpHW1cvS50xoH6kpKyCxotQdUpvJTYjhGBpWjQfl9TS3qWer9QmpKV9+JTbwSdQbzU209DaRc75BvdYDVix1mEUbdVXxwhZmhZNXUsXxy6qNbVvzBuCXfnVBPp4Mm9KuN5S/kXyShAmdS+G9Bg6us3sK3F8vYdbUZ0PVy5od7EK8kFhNWaJe90EhSdCZIqy8zluT47E28Ok3Ip4TBuCXrPkg6Jqbk+Jcv40Jlvwj4D4ecrGCeYkhBHk63nV/zxqKdoKCK1pmoLsKqgmNtiXjAlBeku5lpRVcGG/km3ZA329mJ8UbqlLUsc95Ea/fq7n+MXL1LV06Zs/PRApq6AmHy6f11uJzXh5mLgzNZoPCqvp6VWvZcCwKdoC8XMhIEpvJTbT3tXLvhItNqZrynR/JK/Surgq2ndraVoMF+rbOF2tTt+tMW0IdhVU4+UhXNt2d7ikrNT+Fqk5o2BJWjSX27rJuaCWr3TYXLHEcBTNFtpXUktHt9m93EJWxs+EwFhlXaOL06IQirVlH7OGQOuvUsX8xAgCfXXqrzIYYVMgMlXZi2HhtEi8PU1KptINC6uBVtQQ7C6oJtDXk7lTwvSWciMmk+ZuK/0Aujv0VmMzUYG+zIwPYbdCrtExawhKa1o4X9/GUldOIrOVlFVwUU1faYCPJ7ckRbCrYJSOsCzeqgU1w/ttjeXWaLGxGhalROHl4aY/ASmrtLYd59QcYbkkLYbcikZlRli66bfA+VgDmYtT3dkQrARp1locK8jStGjKL7dTWNmstxTH0n4Zzn+qZXcpyNELl2lo7XJPt5CVybeCd6Cy2UNLLHHH9xVZFYxdQ5BfxYx4N+ivMhixVl+pmhfDnanRCIFSS+RhUbJbC2Yqmja6K78Kbw8Tt7ljbMyKpw9MXaK17zCrV4+SFBXAlAh/ZTLnxqQhqG7q4GR5o3tmC/XFZNLuOs98qOSMgshAH81XWqhO0GxYFG2BgBgtqKkYUkp2FVQzPymcAB8Xj6S0lZRV0FoL5Tl6KxkRS9KiOXhWjRkFY9IQWO9Q3d4QgOYe6m6Ds+r6SvMqmkbPjIKeTi2ImbxCM9SKcbq6hYsNbVddF27N1CVg8lJ2RbwkLZruXsneYvcvrFTvm+wAdhdUMyncj6QoHWcPDBerr7RYzeyhq75Shee5XsO5j6GrReFsIW115taxMSu+wTD5Fq0tu4LMnBhKuL+3Eq7RMWcIWjp7OHCmniWpblhI0x+jxFeqwsUwLIq2gncAJKg5e2B3QbX7x8b6krIK6kuh9rTeSmzGwyS4MzWKvUU1dPW4d2HlmDMEHxXX0tVrVmNpbMXwlboHZrNmkJPu1Ay0YigTG+uLtX2HsiviGJo7ezh0rl5vKYMy5gzB7oIqQv28mD0pVG8pwydpsTbPVdElskq+0kG5dFwbsJ6splvI6p5T6iYoOA5iZ2gGWEFuSYrA18vk9itihxgCIcRyIUSxEKJUCPFUP+/7CCHesLx/SAgxuc97T1u2FwshljlCz0B095r5sKiGRSnReLprIU1/jAuBSQuUNQQq+UoHpXgrCA/NVacg1tjYVBViY31JXgllh6FFvWFH47w9uHVqJO+7eRM6u38NhRAewO+BFUAa8KAQIu263T4PXJZSJgG/An5q+Wwa2ozjdGA58AfL8ZzCkXMNNHX0qHVHZCVlFdSdhrpSvZXYjEq+0kEp2gaT5oOfG7ZlGIKWzh72l9azWJXYWF+SVwISTu/QW8mIWJIWzaXGDvIvNektZUAccVs8ByiVUp6VUnYBrwPrrttnHfCS5fnbwJ1C+zauA16XUnZKKc8BpZbjOYVdBdX4eJpYOC3CWadwHoavVF8azkJtobLZQh+fVjA2ZiUmE4InKtuA8c6UKEwCty4uc4QhmAD0nStXbtnW7z6WYfeNQPgwPwuAEOJJIUSOECKntnZkvubuXjOLU6Px83bzQpr+CJmoXRCKXgyq+EoHxPrfXdG2ErsLqgnx8yJbpdiYFWGZ+XB2D3S16q3GZsIDfJg9KdStv/vKOMqllH+RUmZLKbMjI0dWGv/s+kx+95B61aBXSV6lDUtvUS/oqoqvdECKt0F0BoRO0luJzfRcjY1FqRUb60vKSujpgDN79FYyIpakRVNY2URZQ5veUvrFEd+KCiC+z+s4y7Z+9xFCeALBQP0wP+tQlPOP9iVFcV9pqvv7SvultR4uHlB2NXD4fAON7d1qpY1ez6QFWoGZogkTSywN/j5w08JKRxiCI8BUIUSCEMIbLfi76bp9NgGPWp7fC3wotdvCTcADlqyiBGAqcNgBmkYnMdMhOF7ZVLpFqVFqNqEr2aV1gU1R0xDsLqjG29PErVPduMncUHh4wdSl2k2QgoWVCRH+JEUFsHu0GgKLz/9rwE6gEHhTSpkvhPihEGKtZbfngXAhRCnwH8BTls/mA28CBcAO4KtSSvX+L7sKq6/0zIfQ5Z5LzMGICPBh9kT39pX2S/FWCBwPsVl6K7EZKSW7C6q5JSkCf3dvMjcUySuhrV5zjyrIkrRoDp3VVmfuhkMchlLKbVLKaVLKRCnls5Zt/y2l3GR53iGlvE9KmSSlnCOlPNvns89aPpcspVTzVteVJK+EnnYtcKYgS9KiKahsovyyIoasuwNKP9QMsIJuxaKqZsovt6uZLXQ9SYstTehUzZyLpscs2VvsfvUQikaOxjCTbwGfYGWzh1Qb2MG5j7RJWQq7hYSAO1Oj9JZiP75BWo+n4m2gYMJBVlwIkYE+bplGahgC1fDw0ipbFfWVTokMIDHS3219pTdQtFXr/jr5Vr2VjIjdBdVkxYcQFahIk7mhSFlpqeko1luJzZhMgsWpUXxUXEtnj3tdu4YhUJGUldBWp5XdK8iStBjNV9rmfr7Sa7A2mZu6RMkmc5WN7eRWNI4Ot5AVa+aWooWVS9NiaOns4eBZ95pDbhgCFUlSf2BHj1my97T7+UqvoSIHWmuUrSZ+X6UBTMMlaLw2GU5R1+jNieH4eXuwK9+9pvYZhkBFFPeVzowPISLAh135bu4eKtqiGVxFm8ztKqgmIcKfxEjFmswNRcoqzUg3VeqtxGZ8vTy4PTmS9wurMZvd59o1DIGqKO4rXZIWzd7iGrfzlV5D0TYtOO8brLcSm2nq6Obg2XqWpCnYZG4orG3AT6uZZLgkLZrqpk5OVTTqLeUqhiFQFeV9pdG0dvWy/4ybNqGrPQ31Jcq6hfYW19LdK0dXfMBKVCqETlY2jfSO5Cg8TOLq2FB3wDAEqnLVV6rmxXBzYjj+3h7u6x6yGlhr11fF2JVfRUSAN7MmKthkbiiEgJTV2vzoDsXalQAhft7MTQhzq+++YQhUJmUVVBxV1ld6mxv6Sq9StE2rJA6O01uJzXT29LK3uJbFqdF4mEaZW8hKyiro7YLS9/VWMiKWpEVTUtPCuTr36KZqGAKVSVmt/VW0EdfStBhqmzs5UX5FbynX0lwN5Uf+9d9XMQ6cqaels4el6aPQLWQlfi74hSu7Ira67NzFPWQYApWJTIGwKcqmkd6RHIWnSbjVEhmwGFapbDXxroJq/Lw9mJ+o4ACm4WLy0Nx2Jbugp0tvNTYTF+pHWmyQ23z3DUOgMn19pe1udlc9DIL9vJg7JYxdbnJXdJWirVowMur6iavuj9msNZm7PTkSXy+nTX11D1JWQ2cTnN+nt5IRsTQ9mqMXL1Pb3Km3FMMQKE/KajD3QMluvZWMiKVpMZytbaW0pkVvKRodTVp/oZTVSjaZO1F+hdrmTpZa+t+PaqbcDl5+yrqHlqXHICW87wbtVgxDoDpxN4F/lLLuIauvdKe7VFqW7NKCkKlr9FYyInblV+NpEtyRPAqazA2F1zhIulNz5ZnNequxmZSYQOLDxrnFd98wBKpjMmm+7NL3tZbJijE+ZBzT44Ldp+S+aAv4R2oGVkF2FVQxb0o4wX5eektxDSmrobkSLh3XW4nNCCFYlhbD/tJ6mjv07btlGILRQMoa6GrRXBoKsiw9hpPljVQ2tusrpKdTc7Elr9SCkYpRWtPM2drW0Z0tdD3TloHwUHZFvCwjhq5eM3uK9Z1DbpchEEKECSF2CyFKLH9vqF4RQmQJIQ4IIfKFEKeEEJ/p896LQohzQogTlod6I6DcgYRbtVbJql4M6Zo/W/cMirMfaQZVUbfQTst/v1FZTTwQ40K1NiCFm/VWMiJmTQwlIsBb9xWxvSuCp4APpJRTgQ8sr6+nDficlDIdWA78WggR0uf970gpsyyPE3bqGZt4+sC0pVoRlIIzCpKitBkFuvtKizZrBjVhob46RsiOvCqy4kOIDR6ntxTXkrpGaweiYN8tj6t9t/SdUWCvIVgHvGR5/hJw1/U7SClPSylLLM8vATWAwlO03ZSU1dqMgosH9VYyIpZnxHDoXAOXW3XKCTf3aoZU0dkD5ZfbyK1oZHnGGMgWuh5r4V/hJn11jJCl6dqMgv2l+vXdstcQREsprf0NqoBB16RCiDmAN3Cmz+ZnLS6jXwkhBrwChRBPCiFyhBA5tbX6+tPckqlLwMNH2SXysvQYes1Sv1S6skOaIU1Vs5rY6hayutnGFEGxEDdH2e/+/MRwAnw8dV0RD2kIhBDvCyHy+nms67uflFICAzaNEULEAi8Dj0sprbleTwMpwE1AGPC9gT4vpfyLlDJbSpkdGWksKG7AJxASF2kXg4IzCjInBDM+2PfqD5rLKdwMHt7a0B8F2ZlfRUpMIAkR/npL0YfUNVB5Ei5f0FuJzfh4ajMKdhdU06tT360hDYGUcrGUMqOfx3tAteUH3vpD3+/IKSFEELAV+L6U8mCfY1dKjU7gBWCOI/5RY5a0tdBUDpeO6a3EZoQQLE2PYV9JLW1dPa49uZSaIUhcpA39UYza5k6OnG8Ym6sBK9aVnKIJE8szYqhv7eLIeX1GWNrrGtoEPGp5/ijw3vU7CCG8gXeBf0gp377uPasREWjxhTw79Yxtpi3XUukUXSIvS4+hs8fMXlen0l06Bo1lkLrWted1EO8XViMlYzM+YCVsCkRnKvvdvyM5Ch9PEzvy9HEP2WsIngOWCCFKgMWW1wghsoUQf7Pscz+wEHisnzTRV4QQuUAuEAH82E49Yxu/MC2VtGCTku6hmyaHEu7vzXZXXwwFm8DkqezsgR15VUwK9yMlJlBvKfqSukZLlmjWv2WDrfj7eHLbtEh25FXp0pbdLkMgpayXUt4ppZxqcSE1WLbnSCm/YHn+TymlV58U0atpolLKRVLKTIur6REppZs0nFGY1LXQcAZqCvVWYjOeHiaWpsfwYWE1Hd0uSqWTUss2mXyrZkgVo7G9m/1n6lieHjP6RlLaSuoaQCo7tW9FZgxVTR0cL3N9A0mjsni0kbIaEMoukVdkxNDa1cu+kjrXnLA6X5v9nKamW+jDomq6eyVLx3J8wEpUKoQlais8BVmUEo2Xh2BHnusHTRmGYLQRGA0T5ymbU31zYjjB47zYnuuii6FwEyCUHUKzLbeKmCBfZsaHDL3zaEcIzaCf+xja9Am62kPwOC8WJEWwPa8K6WLXrmEIRiOpa6A6D+rPDL2vm+HlYWJpWjS7C6tdU2lZsAkmzYcA9bp1Nnd089HpWlZkxmAarSMpbSVtHcheZbOHVmbEUn65nfxLrp3FbBiC0Yg1+6Vgo746RsiKzBiaO1xQaVlXArWFymYLfVhUQ1ePmVWZsXpLcR9isyBkEhTckMCoBEvStDnT213sHjIMwWgkJF5ro5yvpiFYkBRBoI8n25ztHrL+WCjaZG5bbiXRQT7MmnhDr8exixCQfhec3aukeyjU35t5U8Jc7h4yDMFoJe0uqDqlpHvIx9ODxWnR7CqoprvXiQNH8jdqQ9CDJzjvHE6itbOHvcW1rMiINdxC15N2lza1r3ib3kpGxIqMWM7WtlJc3eyycxqGYLSSZukAkv+uvjpGyPKMGBrbuzlwxknuoboSqM6F9PXOOb6T+aCohs4eMysNt9CNjJ8JIROVXREvz4jBJGDLSde5hwxDMFqxuocUjRPcNi0Sf28Ptp5y0sWQ/y4g/mUwFWPbqUqiAn3InmS4hW5ACG1VcHYvtF/WW43NRAT4MD8xgi2nLrnMPWQYgtFM+nqoyoW6Ur2V2IyvlwdL0qLZkV9FV48T3EP578LEmyFovOOP7WRaO3vYU1zDigwjW2hA0u8Cc7fWWlxBVk2P5Xx9m8uyhwxDMJqx3u0WqOkeWj19PI3t3XxS6uDeQzVFUFOgrFtoT7HmFlphuIUGZvwszT2k6Ip4eXoMHibBFmetiK/DMASjmeA4rU97vpqpdLdOiyDI19PxvlLF3UKbT14iKtCHmyar1xLDZVjdQ2f2KJs9tCApgq25rnEPGYZgtJO+XguK1pXorcRmfDw9WJYew64CB/YeklIzBJNv0aqwFaOpo5s9xbWsnj4eD8MtNDgZ92juIUXbrayeHktZQzunyhudfi7DEIx20tYBAvI26K1kRKyZMZ4WS6qkQ6gpgLpizYesIDvztJjJmhmGW2hIYmdAeBLkvT30vm7IsrQYvDwEW05dcvq5DEMw2gmeAJMWQO5bSramnp8YTpi/t+MuhrwNIEyQqqhb6FQlE8P8yDJ6Cw2NEJBxL5zbB836jYEcKcF+Xtw6NZKtpyqd3praMARjgcx7ob5EG+WnGJ4eJpZnxPBBYY39k8uk1O4OE26DAPXGnda3dPJpaR1rZsQaLaeHS8Y9gFS2nmb19FguNXZw7KJz02DtMgRCiDAhxG4hRInlb79JzUKI3j5DaTb12Z4ghDgkhCgVQrxhmWZm4GjS1oHJS1sVKMia6eNp7+7lg8J+J6EOn/IjcPk8TL/fIbpczbbcSnrNkjUz1Et51Y3IaRCTCblquoeWpsfg62Vi44kKp57H3hXBU8AHUsqpwAeW1/3R3mcoTd8OXz8FfiWlTAIuA5+3U49Bf/iFQdJizS1idmLLBicxJyGM6CAf3jthp3vo1Jvg6atsy+nNJyuZFh1ASox6c5V1JeNeqMiBhnN6K7GZAB9PlqTFsPVUpVPbrdhrCNYBL1mev4Q2d3hYWOYULwKsptqmzxvYSOa90HwJLu7XW4nNeJgE67ImsLe4hobWrpEdpLcb8jdoc50VHFB/6Uo7h883sNZYDdhOxj3a37x39NUxQu7KGs/ltm4+Pu28Wd72GoJoKaU1ybsKGCgfz1cIkSOEOCiEsP7YhwNXpJRWx285oF73L1VIXgFe/sq6h+7KmkCPWbJ1pEHjM3ugrV5Zt9Dmk9q/e/V0wxDYTEg8xM9T1hAsnBZJqJ8XG+1dEQ/CkIZACPG+ECKvn8c1aRdSq3oYKLQ9SUqZDTwE/FoIkWirUCHEkxZjklNb6zzLOGrx9oeUlVojrp4R3lXrSGpsIMnRgbx7fIS+0tw3wTcEkpY4VpgLkFKy4VgFMyeGMDnCX285ajL9Pi11uCpXbyU24+VhYtX0WHYXVNHSaWfCxAAMaQgsQ+kz+nm8B1QLIWIBLH/7jeZJKSssf88Ce4GZQD0QIoTwtOwWBwx4lUsp/yKlzJZSZkdGqpfx4RZk3gcdV6D0fb2V2IwQgvWzJnDs4hUu1Lfa9uHOFijaqtUOeKqXj1BQ2URxdTN3z4rTW4q6pN+tJUyceE1vJSPirqwJdHSb2ZXvnDRYe11Dm4BHLc8fBW7oZSCECBVC+FieRwALgALLCmIPcO9gnzdwIImLwC8CTqp5MaydMR4hYONxG5fIxduhuw0y1XQLbThWgZeHYM10o4hsxPiFQfJybWXY65y7amcye1IocaHjnOYestcQPAcsEUKUAIstrxFCZAsh/mbZJxXIEUKcRPvhf05KWWB573vAfwghStFiBs/bqcdgMDy8NB958XYl+6+MDxnHvIRwNp6osK3/yqnXIShO6zaqGD29Zt47UcGdKdGE+Km3mnErZjwIrbVw5kO9ldiMEIJ1WeP5pKSW2uZOhx/fLkMgpayXUt4ppZxqcSE1WLbnSCm/YHm+X0qZKaWcYfn7fJ/Pn5VSzpFSJkkp75NSOv5faHAtWQ9p/VcUDZytnzWBc3WtnBxu/5WmS9qFP+MBMKlXP7mvpI66li7unmXkUdhN0hIYFwYnX9VbyYhYP3MC98yKo7PHQX23+qDelWFgHzGZ2uPEK3orGRErMmLw8TTxztHy4X3g5GsgzZoBVJB3jpUT6ufF7clRektRH09vLU5WtA3ar+itxmaSogL5+X0ziAv1c/ixDUMwFsl6GC4dh+qCofd1MwJ9vVieEcN7JyqG7kgqJRx/BSbOh3CbE9V0p7G9m10F1aydMR5vT+NSdQgzHoDeTmXnFDgL49s1Fsm8D0yeyi6RP5MdT1NHDzuHyqAoOwQNZ2Dmw64R5mC25VbS1WM2soUcyfiZEJGsbPaQszAMwVjEPwKmLtNaLiiYQTFvSjjxYeN440jZ4Dse/6dWRJemZsH6G0fKSIoKYHpcsN5SRg9CQNaDUHZQyRGuzsIwBGOVrIegpRrOfKC3EpsxmQT3z45n/5l6Lta39b9TV6vWcTL9LvAJcK1AB1BU1cSJsis8OGei0WnU0cx4SFsRH3tp6H3HCIYhGKtMXQr+kXBUzYvh3uw4TALeOjrAqqBgE3S1aPEQBXn9cBneHibunmlkCzmcwGit59SJV5WssncGhiEYq3h6az+Sp3doKZaKERs8joXTInn7aDm9/Q3tOP5PCE2ASfNdL85OOrp72XCsnOUZMYT6G7UDTmH249BWB8Vb9VbiFhiGYCwz+1GQvXDsZb2VjIj7s+OpbOxgX8l1vadqiuDCJ9q/T0G3yrbcSpo6enhgTrzeUkYviXdAcDwcfVFvJW6BYQjGMmFTtLYTx15SMmi8ODWaMH9vXjt88do3cv4OHt4w87P6CLOT1w+XMTncj5unhOstZfRi8oBZn4Oze5WcU+BoDEMw1pn9ODRVQOluvZXYjLenifuz49ldUM2lK+3axq5WrYgsbZ2WHaUYpTUtHD7fwANGkNj5ZD2sza8+9g+9leiOYQjGOskrICAacl7QW8mIeHjuRABePWRZFeS+DZ1NkK3msLvXD1/E0yS4x6gdcD7BE7Q06hOvaIOLxjCGIRjreHhpLpTS3XBliLx8NyQ+zI9FKdG8dvgind09cORvEJUGE+fpLc1mWjt7eCOnjOUZMUQG+ugtZ2yQ/biWRl24aeh9RzGGITCwBI0lHFVzVfC5mydR39rFwY93QdUpuOnzSgaJNxyvoLmjh8cXJOgtZeyQtESLlR38o95KdMUwBAYQMhFSVmnuoa4BCrTcmFuSIpgS4U/vkefBOwCmf0ZvSTZjNkte/PQc0+OCmTUxRG85YweTCeZ8CcqPQPlRvdXohmEIDDTmfQXaG7Te/YphMgm+ONOfBe17qU9cDz6BekuymX2ldZypbeXxBZONILGreg4pDQAAEORJREFUmfkw+ATBobG7KjAMgYHGpPkQmwUH/gBms95qbGZ9zza86OWv3cv1ljIiXvz0HJGBPqzKNIbTuxyfQJj5iNaSpKlSbzW6YJchEEKECSF2CyFKLH9D+9nnDiHEiT6PDiHEXZb3XhRCnOvzXpY9egzsQAi4+atQX6LeTOOuVnyP/52ikFt5vtBEVWOH3ops4mxtC3uKa3l47kSj3bRezHkSzL2QMzaHJNr7rXsK+EBKORX4wPL6GqSUe6SUWVLKLGAR0Abs6rPLd6zvSylP2KnHwB7S7oLA8XDgd3orsY3jr0DHFcKXfhuzhOc/Oau3Ipt4cf95vD1MPDx3kt5Sxi5hCVoqdc7fobtdbzUux15DsA6wdi17CRiq3++9wHYppXoRybGApzfM+SKc+wiq8vRWMzzMvZrhiptDdPptrJ4ey6uHLtLYpkZeeG1zJ28cKWNd1ngjZVRv5n0F2uqVnd5nD/YagmgppdWpVgVED7H/A8D1EyGeFUKcEkL8Sggx4JUghHhSCJEjhMipra0daDcDe5n9GHj5wf7f6K1keBRuhisXYP7XAfjSwkRau3p5+eB5fXUNk+c/OUd3r5l/u129CWqjjsm3QPxc+OTXY64r6ZCGQAjxvhAir5/Hur77SSkl0E8byKvHiQUygZ19Nj8NpAA3AWHA9wb6vJTyL1LKbClldmRk5FCyDUaKXxhkPwG5b7n/4A4pNYMVmqClvwJp44O4PTmSFz49P/QoS5250tbFywfOs3r6eKZEqjczYdQhBCz8DjSWwak39FbjUoY0BFLKxVLKjH4e7wHVlh946w99zSCHuh94V0p5dc0upayUGp3AC8Ac+/45Bg5hwTfBwwf2/UJvJYNTshsqjmp6TR5XN3/5tkTqW7t4a7gD7nXihU/P09rVy1fvSNJbioGVpMUQOwP2/VLJRowjxV7X0CbgUcvzR4H3Btn3Qa5zC/UxIgItvqCIY3qUExClVeeeegPqz+itpn+khD0/hpBJWupfH+YmhDFzYgh/2nuGzh73XBU0d3Tz4v7zLE2LJjlGvbqHUYt1VXD5HORv0FuNy7DXEDwHLBFClACLLa8RQmQLIf5m3UkIMRmIBz667vOvCCFygVwgAvixnXoMHMX8b2irgo/ddFVQtAUqT8Jt39P6JfVBCMG3liRTcaWdVw5eHOAA+vLPgxdpbO/ma4uM1YDbkbxK61f18S+UrKkZCXYZAillvZTyTinlVIsLqcGyPUdK+YU++52XUk6QUpqv+/wiKWWmxdX0iJSyxR49Bg4kMFqLFbjjqsBshj3/C+FJA7aTuGVqBPMTw/n9nlJaOt1rid/Y3s2fPz7DbdMimR5ntJNwO0wmuPVbUFcMee/orcYlGNUrBgOz4Jva3fZHP9VbybUUvAs1BXDbU+DhOeBu31mWTH1rF3//xL0Gj/xhTymN7d18b3mK3lIMBiL9bojJhA9+CN1qFSiOBMMQGAxMYDTM+zdtVVCeo7cajd5u2PMTiEyBjLsH3XXmxFCWpUfz14/P0tDqHumAZQ1tvPDpee6ZFUfa+CC95RgMhMkES5+Fxotw6E96q/kXcsDETLswDIHB4Nz6LW1wzY6nnPYltInDf9HaYNz5zDWZQgPx7aXJtHb18Me97pEK+4tdxZhM8K2l0/SWYjAUU27TBtfs+yW01umtRivy/Ntip7hqDUNgMDg+gdqPbvkRrbZAT5qrtdVA0hKtHcAwmBodyD2z4nhx/3lKa5qdLHBwTpZd4b0Tl/jCLVOIDR6nqxaDYbLkh9r4U73do2YzbP0PLZtp3A0t3ezGMAQGQzPjQRg/E3Y/o10UevH+M9DbCSt+atPgme+tSMHP25Pvv5uH1GlVYzZLfry1gIgAb75sVBGrQ1SKNrjpyPNQW6yfjuMvQ9khWPIjrejTwRiGwGBoTCZY/hw0X4J9/08fDRcPakPpb/4ahNv2QxoR4MNTK1I4dK6Bd45VOEng4Lxy+CJHzl/mu8tSCPAZOMBt4Ibc/jT4BMCmb2i9rVxNa512EzRpAWQ95JRTGIbAYHhMnKelan76a7jk4iaxvd2w7dsQNAEWfntEh/hMdjyzJ4Xyv9sKueziwHH55Tae21bIrVMjuC/bGEqvHAFRsPynUHZQi1G5mt3/DZ3NsOqXThvBahgCg+Gz/Dnwj4R3v+TalLq9z0FVrnZ+b/8RHcJkEjy7PoOm9m7+d1uhgwUOjJSSpzfkAvCTuzON6WOqMuMBmLoU3v8faHBhm/Nz+7RuqPO/DlGpTjuNYQgMho9fGKz7HdQWwYc/cs05z3+iZW1kPQJpa+06VEpMEF9cOIW3jpaz9ZRrJlG9dbScfSV1PLUihbhQP5ec08AJCAGrf63V1bz3dddUHLfWwYYnIWyK1vbCiRiGwMA2khZrFccHfq/9SDuT9sv/uhBWOCZr498XT2PmxBC+984pztU5N/BdWtPCjzYXMCchzBg6MxoIngDLnoULn8CB/7+9Ow+uqjzjOP79JSGAoAZFoIQd44JYWSIF7TgignSqQMsiUSiDrbYWq6gdt9opo221U6bCqINSoaLQUMANLRVBQTq2ZdjcCEsoFgiLBC0GRFmSp3+812lEFkPuvSfc83xmMrn35OY9z5nc3Oe8y3nOo6ndV1VV6Hnv+wiGPn3CPeGvyxOBq7m+D0KTdvDcjVCxLTX7MIOXx8LeD2HwH8NkXRLk5mTx2HXdyMkWY2asTFmp6k8+O8iNzyynfr0sHrm2C1lZPiSUEbqOhE4DYeG4UP02Vd6aEG4Z2/+hUA01xTwRuJqr3xiufRb2V8CMYWEiK9kWPwQlL8IV90N+96Q2nZ/XkEeGdaFkewXj5q5O+pLSyirj1uJVlP13H5NGdCc/z68ZyBgSDJoEzS6AOTdA+frk7+ODv8Mbvw5lLgpvSH77R+CJwJ2YFhfC0Gmh5s/s0cmt3b50criAp+sIuHRs8tqtpvd5zRjTuyMzl21h/GvrkpoMfvfqWt5cX84DAztzcbvkr/l2EcttBEV/huxcKB4ehjCTZcuy0OaZHeGaiSlbJXQ4TwTuxBVcGZa0bVgAr4xNzhrr9+bA3+4KpYCvTu0/wp19z6WoR2seX/RvJiwsrXV7ZsZD89YweclGRvZsS1GPNkmI0tVJeW3g2umwezNMGwB7j3VPrq9p2yqYPjiszPvBS9AgfbWoPBG42ikcHVY0rHoWiotOfJjIDJZPhRd+Am0vgSFTjllZNBmyssRvBl3I0O6tmPh6KRMXlp5wz+BQZRV3P/cuTy7ZyIiebRg34IIkR+vqnLa9oKgYPtoAU/rVblnptlXwzCBocDqMehlOa5m8OL8GTwSu9q64P9EzWAhTrgpnSTVxYB+8+FN45fZQ6KuoGOqlZ1w9K0s8PPibfL9bPo8sXM+Nz6xg1979NWrj408PcPOMlcxaXsatfQp4cGBnsn1yOB4K+oYP7s8/Ce/9zUtr9vtVVWEF3pR+kNsYRs2FvNapifUYapUIJA2VtFpSlaTCY7yuv6R1kjZIuqfa9vaSlia2/0VSbm3icRG6+Edw/exw4+8nvh1KURyvLpEZbFwc/gneKQ73F7hudjgrSqPsLDF+yEX88upOLCktp/+EJSwo+fC4vYPKKmP6vzbRe/xiFq3dybhrOnFH33P8orG4aVUIN8yHeg1gaj944eZQIPF4dm+BGYNh/n1hWfaP34Qz2qc+3iNQbSbJJJ0PVAFPAj83s68UrZeUDawH+gJlwDKgyMxKJM0CnjezmZKeAN4xs0nH229hYaEtX15H6uO7L9tVGt7Ypa9Bo2bQa0yokdKiczjLrzwEFVtDAa1/PAo73g1lrgc8Buf0izp61u3Yw20zV7F2xx7ObtaYId1bMahLPs1Pq48kzIyS7RUsWb+Ll9/ZRsn2Cnp1OJMHBl5AQXO/93Cs7d8LS34fzvBzGkC3kdChdxjqrN84nPgc3BdOflZMC3Nr2fWh/2+h++i0TAxLWmFmXzlpr1UiqNb4Yo6eCHoB48zsqsTzexM/ehgoB1qY2aHDX3csnghOApv+Ga4+3vRWeK5sOLVFuC6gKrHCqOk54dL5C4eFs6k6Yv+hSl5YuZXZK8pYsSmsCJGgUW4OEuz5PMR/XotTufnyjgy4qKX3Atz/7doQisSVLgjVcrNyoEFeGD6qOhhe07gFdL0euo2CJum72PBoiSAdZRDzgS3VnpcB3wLOBHab2aFq2/OP1oikm4CbANq08dUYdV7bXjB6Xuj+bn873Gh+95ZwdWZeW2haAK17hsqmdUz9nGyG92jD8B5t2Fi+lzfW7qTis4Ps3V/JgcpKurRuwmUFTWl2Wt1JXq4OaXo2DJ8BBz8LVXM/eBM+2w0N80JCaHY+dOyT8sUQNXHcSCQtBFoc4Ue/MLOXkh/SkZnZZGAyhB5Buvbraimvdfg6/5qoIzkhHc5qTIezknNVs4uZeg2hY+/wVccdNxGY2ZW13MdWoPo0eKvEto+APEk5iV7BF9udc86lUTr65cuAgsQKoVxgODDXwuTEImBI4nWjgLT1MJxzzgW1XT76PUllQC/gr5LmJ7a3lDQPIHG2fwswH1gDzDKz1Ykm7gbukLSBMGcwpTbxOOecq7mkrBpKN1815JxzNXe0VUN1b8mGc865tPJE4JxzMeeJwDnnYs4TgXPOxdxJOVksqRzYdIK/3hTYlcRwTgZ+zPHgx5z5anu8bc3srMM3npSJoDYkLT/SrHkm82OOBz/mzJeq4/WhIeecizlPBM45F3NxTASTow4gAn7M8eDHnPlScryxmyNwzjn3ZXHsETjnnKvGE4FzzsVcrBKBpP6S1knaIOmeqONJJUmtJS2SVCJptaTboo4pXSRlS1ol6ZWoY0kHSXmS5khaK2lN4ravGU3S7Yn39fuSiiVl3O3iJE2VtFPS+9W2nSFpgaTSxPcmydhXbBKBpGzgceA7QCegSFKnaKNKqUPAnWbWCegJjMnw463uNkLJ87iYCLxqZucBF5Hhxy4pH7gVKDSzzkA24T4nmeZpoP9h2+4BXjezAuD1xPNai00iAHoAG8xso5kdAGYCAyOOKWXMbLuZrUw83kP4cDjqPaEzhaRWwHeBp6KOJR0knQ5cRuJeHmZ2wMx2RxtVWuQADSXlAKcA2yKOJ+nMbAnw8WGbBwLTEo+nAYOSsa84JYJ8YEu152XE4IMRQFI7oCuwNNpI0mICcBdQFXUgadIeKAf+lBgOe0pSo6iDSiUz2wqMBzYD24FPzOy1aKNKm+Zmtj3xeAfQPBmNxikRxJKkxsBzwFgzq4g6nlSSdDWw08xWRB1LGuUA3YBJZtYV+JQkDRfUVYlx8YGEJNgSaCRpRLRRpV/idr9JWf8fp0SwFWhd7XmrxLaMJakeIQnMMLPno44nDS4FBkj6D2Ho7wpJ06MNKeXKgDIz+6K3N4eQGDLZlcAHZlZuZgeB54FLIo4pXT6U9A2AxPedyWg0TolgGVAgqb2kXMLk0tyIY0oZSSKMG68xsz9EHU86mNm9ZtbKzNoR/r5vmFlGnyma2Q5gi6RzE5v6ACURhpQOm4Gekk5JvM/7kOET5NXMBUYlHo8CXkpGoznJaORkYGaHJN0CzCesMphqZqsjDiuVLgVGAu9Jejux7T4zmxdhTC41fgbMSJzgbARGRxxPSpnZUklzgJWE1XGryMBSE5KKgcuBppLKgF8BDwOzJP2QUIp/WFL25SUmnHMu3uI0NOScc+4IPBE451zMeSJwzrmY80TgnHMx54nAOedizhOBc87FnCcC55yLuf8BDOwAxhPWBvgAAAAASUVORK5CYII=\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "\n", "x = np.linspace(0, 10, 100)\n", "\n", "plt.plot(x, np.sin(x), label='sin')\n", "plt.plot(x, np.cos(x), label='cos')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To add more information to our plot, we can use the `legend()` function and label our plots to differenciate them.\n", "You can specify where to place the legend, usually `best`, passing the argument `loc` to the function `legend()`:\n", "\n", "$\\;\\;\\;\\;\\;\\;$ `plt.legend(loc='best')`" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "\n", "x = np.linspace(0, 10, 100)\n", "\n", "plt.plot(x, np.sin(x), label='sin')\n", "plt.plot(x, np.cos(x), label='cos')\n", "\n", "plt.legend(loc='best')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Multiple plots\n", "\n", "If you want to have each function in a different plot and compare them, it is possible with the function `plt.subplots(nrows, ncols)`.\n", "\n", "This function creates a Figure and a set of subplots, an Axes object.\n", "\n", "For each subplot, you can access to it like an array\n", "\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x = np.linspace(0, 10, 100)\n", "\n", "# subplots returns a Figure and an Axes object\n", "fig, ax = plt.subplots(nrows=1, ncols=2)\n", "\n", "# accessing to the first column ax[0]\n", "ax[0].plot(x, np.sin(x), label='sin', color='cornflowerblue')\n", "ax[0].set_ylabel('Y')\n", "ax[0].set_xlabel('X')\n", "ax[0].set_title('Sin function') \n", "ax[0].legend(loc='best')\n", "\n", "# accessing to the second column ax[1]\n", "ax[1].plot(x, np.cos(x), label='cos', color='orange')\n", "ax[1].set_ylabel('Y')\n", "ax[1].set_xlabel('X')\n", "ax[1].set_title('Cos function')\n", "ax[1].legend()\n", "\n", "plt.legend(loc='best')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As you can see, it is difficult to see correctly the subplots.\n", "\n", "We need to specify the size of the figure." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x = np.linspace(0, 10, 100)\n", "\n", "# you can define the size of the plot\n", "fig,ax = plt.subplots(nrows=1, ncols=2, figsize=(20,5)) \n", "\n", "# accessing to the first column ax[0]\n", "ax[0].plot(x, np.sin(x), label='sin', color='cornflowerblue')\n", "ax[0].set_ylabel('Y', fontsize=15) # you can define the fontsize of the labels\n", "ax[0].set_xlabel('X', fontsize=15)\n", "ax[0].set_title('Sin function') \n", "ax[0].legend(loc='best')\n", "\n", "# accessing to the second column ax[1]\n", "ax[1].plot(x, np.cos(x), label='cos', color='orange')\n", "ax[1].set_ylabel('Y')\n", "ax[1].set_xlabel('X')\n", "ax[1].set_title('Cos function')\n", "ax[1].legend(loc='best')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Could you plot them in vertical?\n", "\n", "With the funtion `plt.subplots_adjust()` you can play with the space between the subplots.\n", "\n", "There is more documentation [here](https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.subplots_adjust.html)." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x = np.linspace(0, 10, 100)\n", "\n", "# you can define the size of the plot\n", "fig,ax = plt.subplots(nrows=2, ncols=1, figsize=(8,5))\n", "# accessing to the first column ax[0]\n", "ax[0].plot(x, np.sin(x), label='sin', color='cornflowerblue')\n", "ax[0].set_ylabel('Y') # you can define the fontsize of the labels\n", "ax[0].set_xlabel('X')\n", "ax[0].set_title('Sin function') \n", "ax[0].legend(loc='best')\n", "\n", "# accessing to the second column ax[1]\n", "ax[1].plot(x, np.cos(x), label='cos', color='orange')\n", "ax[1].set_ylabel('Y')\n", "ax[1].set_xlabel('X')\n", "ax[1].set_title('Cos function')\n", "ax[1].legend(loc='best')\n", "\n", "# Tuning the subplot layout\n", "plt.subplots_adjust(hspace=0.8)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Little exercise" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Try to plot the Distance, Velocity, and Acceleration vs. Time - Usain Bolt's World Record 100 Meter Dash [here](https://chart-studio.plotly.com/create/?fid=19smejkals:48#/)" ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [], "source": [ "time = [0,1.85,2.87,3.78,4.65,5.50,6.31,7.14,7.96,8.79, 9.69]\n", "\n", "distance = [0,10,20,30,40,50,60,70,80,90,100]\n", "velocity = [0,5.41,9.80,10.99,11.49,11.76,12.35,12.05,12.20,12.05,11.11]\n", "acceleration = [0,2.92,4.30,1.31,0.57,0.32,0.73,-0.36,0.18,-0.18,-1.04]\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Multiple plots with different sizes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can create a grid-shaped combination of axes using `GridSpec` to specify the geometry of our grid and where will be our subplots and also using `subplot2grid`, that it is similar to the `subplot` function. You can find more information [here](https://matplotlib.org/3.2.1/tutorials/intermediate/gridspec.html)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> We need to import it from matplotlib" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "import matplotlib.gridspec as gridspec" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "\n", "x = np.linspace(0, 10, 100)\n", "\n", "# Plot figure with subplots of different sizes\n", "fig = plt.figure(1)\n", "\n", "# set up subplot grid (3 by 3)\n", "gridspec.GridSpec(3,3)\n", "\n", "# large subplot\n", "plt.subplot2grid((3,3), (0,0), colspan=2, rowspan=3) # colspan and rowspan how many columns and rows\n", "plt.title('Sin function')\n", "plt.xlabel('x values')\n", "plt.plot(x, np.sin(x), label='sin', color='cornflowerblue')\n", "\n", "\n", "# small subplot 1\n", "plt.subplot2grid((3,3), (0,2))\n", "plt.title('Tan function')\n", "plt.xlabel('x values')\n", "plt.plot(x, np.tan(x), label='tan', color='cornflowerblue')\n", "\n", "# small subplot 2\n", "plt.subplot2grid((3,3), (1,2))\n", "plt.title('Cos function')\n", "plt.xlabel('x values')\n", "plt.plot(x, np.cos(x), label='cos', color='cornflowerblue')\n", "\n", "\n", "# Automatically adjust subplot \n", "fig.tight_layout()\n", "\n", "# Set the size of the figure\n", "fig.set_size_inches(w=11,h=7)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### How to save your plots" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can save your plots with the function `plt.savefig()`.\n", "\n", "You need to provide, as an argument, the path where you want to save the plot. You have also other arguments that you can specify related to the quality of the image.\n", "\n", "You can find more documentation [here](https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.savefig.html) about the `savefig()` function.\n" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x = np.linspace(0, 10, 100)\n", "\n", "plt.plot(x, np.sin(x), label='sin')\n", "plt.plot(x, np.cos(x), label='cos')\n", "\n", "plt.legend(loc='best')\n", "\n", "plt.savefig('sin_cos_plot.png',dpi=300) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### There are many other plots available" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Scatter plots\n", "\n", "It helps to visualize two numeric variables." ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "image/png": 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ukPSHiLilwbkzgZkAfX19bb6KDXlt8OLwBMnu5uHSxZBL53hEXBwR+0bEAcDTwB/rj5H0FuA7wDER8WTNuYPpz8eBq0j6Shq9x5yI6I+I/gkTJnTiMv7bcJ2rjdrTzawx37kXR16jqrZLf/aR9G9cVre/D7gS+EhE/LGmfCtJWw9tA4eSNH3larjOVYH/6M2a5OHSxZHXPI6fSrob+DlwakSsknSKpFPS/Z8GtgW+UTfsdnvgPyX9HvgdcG1EXJd57eucfdhuqEF5gP/ozZrk4dLFkcvM8Yh4V4Oyi2q2TwZObnDMfcA+9eV5O3ZKL2f+eHHDff6jN2uOh0sXh2eOt0nvMH/c/qM3a46HSxeHA0ebVOGP3nNVrJM8XLo4nOSwTcq+iJITBFoWPFy6GBw42qjMf/Seq2JmQ9xUZU3xiBczG+LAYU0ZrpPfnf9m1ePAYU2pQue/mTXHfRzWlLJ3/ptZ85oKHJLeBJwN7FJ7TkS8p0P1si5U5s5/M2tes3ccPwEuAr7NMJlszcysGpoNHGsj4psdrYmZmRXCiIFD0jbp5s8l/T1JGvMXh/ZHxFMdrJuZmXWh0e44FpIkeR1K/np2zb4AXt+JSpmZWfcaMXBExCQASVtGxH/V7pO0ZScrZmZm3anZeRy3NllmZmYlN1ofx+uAXqBH0hTWN1m9BhjT4bqZmVkXGq2P4zDgRGAn4Ms15c8C/9ShOplZzq5eNOjJnjasEZuqIuLSiDgIODEiDqp5HB0RV27sm0o6Q9ISSUslndlgvyR9TdJySXdKemvNvhMk3Zs+TtjYOphZY0Mp9AdXrSZYn0Lf66/YkNGaqj7ZaHtIRHy5vmw0kvYCPgZMBV4CrpP0i4hYXnPYEcCu6WM/4JvAfunw4HOBfpJRXQslXRMRT7daDzNrzCn0bTSjdY5vnT76gY+T9Hf0AqcAbx3hvJHsASyIiBciYi1wMzC97phjgO9H4jZgrKQdSJrOboiIp9JgcQNw+EbWw8wacAp9G81ow3E/CyDpFuCtEfFs+vwzwLUb+Z5LgM9L2hZYDRwJDNQd0ws8VPN8BeuDVqPyl5E0E5gJ0NfXt5FVNaueHcf2MNggSDiFvg1pdjju9iTNSkNeSstaFhHLgAuAecB1wGI6kP8qIuZERH9E9E+YMKHdL29WWu1Koe816sur2VxV3wd+J+mq9PmxwPc29k0j4mLgYgBJXyC5c6g1COxc83yntGwQeHdd+U0bWw8ze7l2pND3GvXlpoho7sBkZNO70qe3RMSijX5TabuIeFxSH8mdx/4Rsapm/3uB00iasfYDvhYRU9PO8YWs71+5A9h3tJxZ/f39MTBQ3xpmZp0ybfb8hs1dvWN7+M0sr8ZQBJIWRkR/o32jjap6TUT8Jf3A/nP6GNq3zSYkOfxp2sexBjg1IlZJOgUgIi4CfkkSNJYDLwAfTfc9JelzwO3p65znRIvreey9dQt3sJfbaE1VlwFHsT7ZIayfPb7RSQ4j4l0Nyi6q2Q7g1GHOvQS4ZGPet8zcNGDdxB3s5TbaBMCj0s3fAOcDR0bEpPThzLhdZKSx92ZZ8xr15dbsqKqLgR2Af5N0n6S5ks7oYL2sRW4asG5y7JRezp++N71jexBJ38b50/f23W9JNDWqKiJ+nc7leBtwEMkEwL2Ar3awbtYCNw1Yt/Ea9eXV1B2HpBtJmqs+CNwDvC0idu9kxaw1bhows6w021R1J8mkv72AtwB7SfJX2S7ipgEzy0qzTVVnAUjamiTN+neB1wGv6ljNrGXd0jTgYcGbxr8/63ZNBQ5Jp5FM/tuXZC7HJcB/dK5aVlQeFrxp/PuzImi2qWpLkoWcdo+IQyLisxExv4P1soLysOBN49+fFUGzTVVf6nRFrFiGa07xsOBN49+fFUGzSQ7N/ttIzSkeFrxp/PuzImi2qcpqVD1d9EjNKR4WvGn8+7Mi8B1Hi9x5OXJzSjtScleZf39WBA4cLfJ6zKM3p3TLsOCi8u/Pup2bqlrkzks3p5hVnQNHi4brpKxS56VnqZtVm5uqWnT2Ybtt0McB1fy27eYUs+rKJXBIOgs4mWQxqLuAj0bEf9Xs/1eSLLwAY4DtImJsum9deg7AgxFxdGYVx52XZmaZBw5JvcDpwJ4RsVrSFcAM4HtDxwzlxkqP/wQwpeYlVkfE5Iyq25C/bZtZleXVx7E50CNpc5I7iodHOPY44PJMamVmZqPKPHBExCDwJeBB4BHgmYiY1+hYSbsAk4DavFhbShqQdJukY4d7H0kz0+MGVq5c2cYrMDOrtswDh6RxwDEkAWFHYCtJxw9z+AxgbkTUTpzYJSL6gQ8BX5H0hkYnRsSciOiPiP4JEya08QrMzKotj87xQ4D7I2IlgKQrgXcAP2hw7Azg1NqC9I6FiLhP0k0k/R9/6mSFzSx/Xqeke+TRx/EgsL+kMZIEHAwsqz9I0u7AOOC3NWXjJL0q3R4PTAPuzqTWZpaboVQ/g6tWE6xP9VO1PHHdIvM7johYIGkucAewFlgEzJF0HjAQEdekh84AfhQRUXP6HsC3JP2VJOjNjohCBg5/ezJrnlP9dJdc5nFExLnAuXXFn6475jMNzrsV2LtzNcuGEyWatcapfrqLU47kwKu8mbXGqX66iwNHDvztyaw1TqzZXRw4cuBvT2atcWLN7uIkhzlwokSz1jnVT/dw4MiBEyWaWZE5cOTE357MrKjcx2FmZi1x4DAzs5a4qcqsQpyxwNrBgcOsIpyxwNrFTVVmFeGMBdYuvuMwq4giZyxwE1t3ceCoMP9nrJYdx/Yw2CBIdHvGAjexdR83VVWU1zeonqLme3ITW/dx4Kgo/2esnqLmeypyE1tZuamqovyfsZqKmLGgqE1sZZbLHYeksyQtlbRE0uWStqzbf6KklZIWp4+Ta/adIOne9HFC9rUvhyJl6L160SDTZs9n0qxrmTZ7vpvTKqaoTWxllnngkNQLnA70R8RewGYky8TW+3FETE4f30nP3YZk5cD9gKnAuZLGZVT1UinKf0b3xVhRm9jKLK+mqs2BHklrgDHAw02edxhwQ0Q8BSDpBuBw4PKO1LLEipKhtxNrTXs0WfEUsYmtzDIPHBExKOlLwIPAamBeRMxrcOj7JB0A/BE4KyIeAnqBh2qOWZGWvYykmcBMgL6+vjZeQXkU4T9ju/tiPLTTbNPl0VQ1DjgGmATsCGwl6fi6w34OTIyItwA3AJe2+j4RMSci+iOif8KECZtabctJu/tiPJrMbNPl0Tl+CHB/RKyMiDXAlcA7ag+IiCcj4sX06XeAfdPtQWDnmkN3SsuspNrdF+PRZGabLo/A8SCwv6QxkgQcDCyrPUDSDjVPj67Zfz1wqKRx6Z3LoWmZlVS7O0aLNJrMrFvl0cexQNJc4A5gLbAImCPpPGAgIq4BTpd0dLr/KeDE9NynJH0OuD19ufOGOsqtvNrZF+P13s02nSIi7zp0XH9/fwwMDORdDesSHlVlNjpJCyOiv9E+zxzvAv4gy1YRRpOZdTMHjpx5eKiZFY2THObMw0PNrGgcOHLm4aFmVjQOHDnz8FAzKxoHjpwVJdmgDc/Ze61q3Dmes01NNugRWfny4AarIgeOLrCxw0P9odWaTgTZTmTvreUvBtaN3FRVYB6R1bxOrevRycENXovEupUDR4F5RFbzOhVkOzm4wV8MrFs5cBSYR2Q1r1NBtpODG/zFwLqVA0eBeURW8zoVZDu5rKm/GFi3cud4gRVl+ddu0MmsuJ3KfVWmTL7u5C8XB46Cc8K+5hQxyBaxzo149F/5OK26mXXUtNnzGWzQL9M7toffzHpPDjWyZoyUVt19HGbWUe7kLx8HDjPrKHfyl08ugUPSWZKWSloi6XJJW9bt/6SkuyXdKelGSbvU7FsnaXH6uCb72ptZKzz6r3wyDxySeoHTgf6I2AvYDJhRd9iidP9bgLnAF2v2rY6Iyenj6EwqbWYbrZNDli0feY2q2hzokbQGGAM8XLszIn5d8/Q24PgM62ZmbebRf+WSeeCIiEFJXwIeBFYD8yJi3ginnAT8qub5lpIGgLXA7Ii4utFJkmYCMwH6+vraUnczsyLo9LyZzAOHpHHAMcAkYBXwE0nHR8QPGhx7PNAPHFhTvEsafF4PzJd0V0T8qf7ciJgDzIFkOG4HLsXMulwVJx5mMW8mj87xQ4D7I2JlRKwBrgTeUX+QpEOAfwaOjogXh8ojYjD9eR9wEzAli0qbWbFUNbtwFskx8wgcDwL7SxojScDBwLLaAyRNAb5FEjQerykfJ+lV6fZ4YBpwd2Y1N7OuMtLqi1XNLpzFvJnMA0dELCAZKXUHcFdahzmSzpM0NErqQuDVJM1YtcNu9wAGJP0e+DVJH4cDh1kFjXZHUdWJh1nMm8llVFVEnAucW1f86Zr9hwxz3q3A3h2smpkVxGirL+44tqdhqpOyTzzMIjmmZ46bWSGNdkdR1YmHWcybcXZcMyuk0e4oypJdeGN0et6MA4eZFVIzTTKeeNgZDhzDqOL4b7MiqfIdRd4cOBrwwjNmxeA7iny4c7yBqo7/NjNrhgNHA1Ud/21m1gwHjga88IyZ2fAcOBqo6vhvM7NmuHO8AY/WMDMbngPHMDxaw8ysMTdVmZlZS3zHYS3z5EizanPgsJZ4cqSZuanKWuLJkWbmwGEt8eRIM8slcEg6S9JSSUskXS5py7r9r5L0Y0nLJS2QNLFm3zlp+T2SDsu67lXnyZFmlnngkNQLnA70R8RewGbAjLrDTgKejog3Av8KXJCeu2d67JuBw4FvSNoMy4wnR5pZXk1VmwM9kjYHxgAP1+0/Brg03Z4LHCxJafmPIuLFiLgfWA5MzajORjari5lZd8t8VFVEDEr6EvAgsBqYFxHz6g7rBR5Kj18r6Rlg27T8tprjVqRlLyNpJjAToK+vr63XUHWeHGlWbXk0VY0juXOYBOwIbCXp+Ha/T0TMiYj+iOifMGFCu1/ezKyy8miqOgS4PyJWRsQa4ErgHXXHDAI7A6TNWa8FnqwtT+2UlpmZWUbyCBwPAvtLGpP2WxwMLKs75hrghHT7/cD8iIi0fEY66moSsCvwu4zqbWZm5NPHsUDSXOAOYC2wCJgj6TxgICKuAS4G/l3ScuAp0lFXEbFU0hXA3em5p0bEukbvY2ZmnaHki3y59ff3x8DAQN7VMDMrDEkLI6K/4b4qBA5JK4EHRjlsPPBEBtXpNr7uavF1V8umXPcuEdFwZFElAkczJA0MF13LzNddLb7uaunUdTtXlZmZtcSBw8zMWuLAsd6cvCuQE193tfi6q6Uj1+0+DjMza4nvOMzMrCUOHGZm1hIHDkDS4enCUMslzcq7PlmQtLOkX0u6O11U64y865QlSZtJWiTpF3nXJSuSxkqaK+kPkpZJenvedcrCaAvHlYWkSyQ9LmlJTdk2km6QdG/6c1w73qvygSNdCOrrwBHAnsBx6YJRZbcW+IeI2BPYHzi1Itc95AxeniOt7L4KXBcRuwP7UIHrb3LhuLL4HskCd7VmATdGxK7AjenzTVb5wEGyENTyiLgvIl4CfkSS9r3UIuKRiLgj3X6W5EOkEotsSNoJeC/wnbzrkhVJrwUOIMkDR0S8FBGr8q1VZkZbOK4UIuIWktx+tWoXxbsUOLYd7+XAUbNoVGrYxaHKKl3TfQqwIN+aZOYrwKeAv+ZdkQxNAlYC302b6L4jaau8K9VpETEIDC0c9wjwTIOF48ps+4h4JN1+FNi+HS/qwFFxkl4N/BQ4MyL+knd9Ok3SUcDjEbEw77pkbHPgrcA3I2IK8DxtarboZlktHFcE6dIUbZl/4cBR4cWhJG1BEjR+GBFX5l2fjEwDjpb0Z5JmyfdI+kG+VcrECmBFRAzdVc4lCSRl18zCcWX2mKQdANKfj7fjRR044HZgV0mTJL2SpOPsmpzr1HHpIloXA8si4st51ycrEXFOROwUERNJ/q3nR0Tpv4FGxKPAQ5J2S4sOJlnXpuyaWTiuzGoXxTsB+Fk7XjTzhZy6TUSslXQacD3JiItLImJpztXKwjTgI8BdkhanZf8UEb/MsU7WWZ8Afph+QboP+GjO9em44RaOy7dWnSHpcuDdwHhJK4BzgdnAFZJOIlla4gNteS+nHLL1th0AAAHESURBVDEzs1a4qcrMzFriwGFmZi1x4DAzs5Y4cJiZWUscOMzMrCUOHGabSNJzHXjNyZKOrHn+GUn/2O73MdsYDhxm3WkycOSoR5nlwIHDrI0knS3pdkl3SvpsWjYxXf/i2+m6EPMk9aT73pYeu1jShemaEa8EzgM+mJZ/MH35PSXdJOk+SafndIlmDhxm7SLpUGBXklT9k4F9JR2Q7t4V+HpEvBlYBbwvLf8u8L8jYjKwDpKU58CngR9HxOSI+HF67O7AYenrn5vmGjPLnAOHWfscmj4WkaS42J0kYECSaG8otctCYKKkscDWEfHbtPyyUV7/2oh4MSKeIElW15YU2WatqnyuKrM2EnB+RHxrg8JkvZMXa4rWAT0b8fr1r+H/v5YL33GYtc/1wP9K1zhBUq+k7YY7OF2B71lJ+6VFtUuaPgts3bGamm0CBw6zNklXlrsM+K2ku0jWvBjtw/8k4NtphuKtgGfS8l+TdIbXdo6bdQVnxzXLkaRXR8Rz6fYsYIeIOCPnapmNyG2kZvl6r6RzSP4vPgCcmG91zEbnOw4zM2uJ+zjMzKwlDhxmZtYSBw4zM2uJA4eZmbXEgcPMzFry/wFqoqVekB2mggAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import random\n", "\n", "length = np.random.uniform(low=0, high=10, size=(50,))\n", "width = np.random.uniform(low=8, high=10, size=(50,))\n", "\n", "plt.scatter(length, width)\n", "\n", "plt.title(\"length vs width\")\n", "plt.xlabel('length')\n", "plt.ylabel('width')\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import random\n", "\n", "length = np.random.uniform(low=0, high=10, size=(50,))\n", "width = np.random.uniform(low=8, high=10, size=(50,))\n", "\n", "specie = np.random.binomial(1, 0.5, size=50)\n", "frequency = np.random.uniform(low=3, high=20, size=(50,))*2\n", "\n", "scatter = plt.scatter(length, width, c=specie, s=frequency)\n", "\n", "plt.title(\"length vs width\")\n", "plt.xlabel('length')\n", "plt.ylabel('width')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Little exercise 2\n", "Given the a list of height and weight, randomly generated, plot the data using the scatter plot.\n", "\n", "Generate a random list, that will contain 0 or 1 depending on the sex (women or men) and add it to the plot to differenciate them with colours" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Pie Charts" ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "channels = ['Netflix', 'HBO', 'Disney+', 'Amazon Prime']\n", "clients = [45, 20, 25, 10]\n", "\n", "fig = plt.figure()\n", "\n", "# Specify the size of our plot\n", "#fig.set_size_inches(w=11,h=7)\n", "\n", "plt.pie(clients, labels = channels, shadow = True, autopct='%1.1f%%')\n", "plt.legend(title=\"List of channels\",loc='upper left')\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Histograms\n", "\n", "To graphicaly summarize the distribution of your data, you can plot it as a histogram using the `plt.hist()` function.\n", "\n", "You can find more documentation about plotting histograms [here](https://matplotlib.org/3.2.1/gallery/statistics/hist.html)." ] }, { "cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import random\n", "\n", "mu = 4 # mean\n", "sigma = 1 #standard deviation\n", "\n", "x = np.random.normal(mu, sigma, 1000)\n", "\n", "plt.hist(x)\n", "plt.xlim((min(x), max(x))) # you can also specify the limits of the plot axes\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Boxplots\n", "\n", "It is possible to make boxplots to visualize your data using the function `plt.boxplot()` and the argument passed should be a list." ] }, { "cell_type": "code", "execution_count": 73, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import random\n", "\n", "mu = 4 # mean\n", "sigma = 1 #standard deviation\n", "x = np.random.normal(mu, sigma, 1000)\n", "\n", "plt.boxplot(x)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also visualize multiple boxplots inside the same plot." ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "\n", "mu = 4 # mean\n", "sigma = 1 #standard deviation\n", "x = np.random.normal(mu, sigma, 1000)\n", "\n", "y = x + 2*np.random.randn(len(x))\n", "\n", "# you need to pass a list of list\n", "plt.boxplot([x,y])\n", "\n", "plt.xticks([1, 2], ['x', 'y']) # set the current tick locations and labels of the x-axis\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Bar plots" ] }, { "cell_type": "code", "execution_count": 70, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "mu = 4 # mean\n", "sigma = 1 #standard deviation\n", "x = np.random.normal(mu, sigma, 1000)\n", "\n", "y = np.random.normal(6, 3, 1000)\n", "\n", "mean_variables = [np.std(x), np.std(y)]\n", "variable_name = ['x', 'y']\n", "\n", "plt.bar(variable_name, mean_variables, color='cornflowerblue')\n", "\n", "plt.ylabel('Standard deviation')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Heatmap plots\n", "\n", "Heatmap plots allows you to visualize with colors the different values contained in a matrix.\n", "\n", "You can find more documentation and example [here](https://matplotlib.org/3.1.1/gallery/images_contours_and_fields/image_annotated_heatmap.html) and [here too](https://python-graph-gallery.com/heatmap/) about heatmap plots." ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "channels = ['Netflix', 'HBO', 'Disney+', 'Amazon Prime']\n", "country = ['Spain', 'Switzerland', 'France', 'Italy']\n", "clients = np.array([[45, 20, 25, 10],\n", " [43, 18,22,17],\n", " [30,28,17,25],\n", " [33,23,20,24]])\n", "\n", "\n", "fig, ax = plt.subplots()\n", "# with the parameter cmap, you can choose different colors: cmap=\"Spectral\"\n", "im = ax.imshow(clients, cmap=\"Set3\") \n", "\n", "# We want to show all ticks...\n", "ax.set_xticks(np.arange(len(channels)))\n", "ax.set_yticks(np.arange(len(country)))\n", "\n", "# ... and label them with the respective list entries\n", "ax.set_xticklabels(channels)\n", "ax.set_yticklabels(country)\n", "\n", "# Rotate the tick labels and set their alignment.\n", "plt.setp(ax.get_xticklabels(), rotation=45, ha=\"right\",\n", " rotation_mode=\"anchor\")\n", "\n", "# Loop over data dimensions and create text annotations.\n", "for i in range(len(channels)):\n", " for j in range(len(country)):\n", " text = ax.text(j, i, clients[i, j],\n", " ha=\"center\", va=\"center\", color=\"k\")\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Colormaps\n", "\n", "Colormaps are useful to have a good representation of the plotted data.\n", "There are different types:\n", "* Sequential: 'Purples', 'Blues', 'Greens', ...\n", "* Diverging: 'RdYlGn', 'Spectral', 'coolwarm', ... \n", "* Cyclic: 'twilight', 'twilight_shifted', 'hsv'\n", "* Qualitative: 'Pastel1', 'Pastel2', 'Paired', ...\n", "\n", "You can find a more extensive documentation [here](https://matplotlib.org/2.0.1/users/colormaps.html)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Exercises" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Exercise 1 \n", "\n", "Given a dictionary with the popularity of each programming language, plot the popularity of the different languages in the best way." ] }, { "cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [], "source": [ "code_languages = {'Java': 17.2, 'Python': 22.2, \n", " 'PHP': 8.8, 'JavaScript':8, \n", " 'R':9.3, 'C++': 6.7}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Exercise 2\n", "\n", "Grab the most recent data on:\n", " * [number of hospitalised person](https://raw.githubusercontent.com/daenuprobst/covid19-cases-switzerland/master/covid19_hospitalized_switzerland_openzh.csv)\n", "\n", "1. download and read this data file as pandas `DataFrame`\n", "\n", "> import pandas as pd\n", "\n", "> datHospit = pd.read_csv(file.csv)\n", "\n", "2. replace all the nan values by 0\n", "> df.fillna(0)\n", "3. plot the distribution of one canton, to see how it was evolving througth time" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.6" } }, "nbformat": 4, "nbformat_minor": 2 }