{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "![title](header.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Although Pandas is mainly used for creating and manipulating it's DataFrame object, it has some inbuilt data visualisation options that can be helpful to know when we want to create very quick graphs using default templates Pandas provides. Since these work through matplotlib, we can edit stylesheets and color options to make very professional looking graphs very quickly straight from the Pandas ecosystem. By the end of this guide you should be able to use Pandas' built in plots as a shortcut for creating quick plots when you don't need to use other libraries." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Setting Up" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As always, we need to import our libraries, but we're also going to run a few commands straight away to make things easier and look a bit nicer." ] }, { "cell_type": "code", "execution_count": 64, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "\n", "#Saves us typing plt.show()\n", "%matplotlib inline\n", "\n", "#Gives the plots a nicer aesthetic\n", "plt.style.use(\"ggplot\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We're also going to import some dummy data to demonstrate the ideas:" ] }, { "cell_type": "code", "execution_count": 66, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " X Y\n", "0 0.440517 0.339287\n", "1 1.895072 -0.683507\n", "2 1.688482 0.214629\n", "3 -1.455685 -1.249991\n", "4 -0.847313 1.766436\n", " A B C D E F\n", "Month \n", "Jan 0.979767 0.673105 0.864458 1.053850 1.786301 0.620862\n", "Feb 0.670855 1.134268 0.042257 0.137518 0.985290 0.018479\n", "Mar 0.859563 0.094422 0.262608 0.466578 0.243161 0.565645\n", "Apr 0.530637 1.307388 0.509426 0.136473 0.225184 0.163804\n", "May 0.810483 0.395508 0.699213 0.826256 2.365392 0.162536\n" ] } ], "source": [ "data1 = pd.read_csv(\"data1.csv\")\n", "data2 = pd.read_csv(\"data2.csv\", index_col=\"Month\")\n", "print(data1.head()) #Two variables, 100 entries\n", "print(data2.head()) #Six variables, six entries\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are a number of plots we can use for pandas, all used by calling the df.plot. sublibrary, but all of plots below can also be called by using df.plot(kind='') as well. Let's go through them one by one and see what they look like. First off, the Area plot, which we can either run on the whole dataframe or take a single column:" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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A7Oxs3vKWt3DkyJFhm6jxECtEyMpioddIgyQoM+PbiDPsZPcEFN+tAcVKKaUG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dMslkr8ZOcu/v6r9/KhT35aQpQQjRpP9FX8mIoX81gxz3MNJ/pSF/nkq5QilXJJpVYkc/wqlKbM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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data2.plot.area(alpha=0.8, figsize=(10,7), title = \"Area Plot with Multiple Columns\")\n", "\n" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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Kk3wsjD8TzGwBAICz0lD3QNvDGWFmCwAAnDGrrJStpO7hbDCzBQAAztzaFdLR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\ne6DENOYQtoLh+PLU8qPSprW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ABBFhCwAAIIgIWwAAAEFE2AIAAAgiwhYAAEAQEbYAAACC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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Here we get just the A column of the data2 dataframe, then perform the same method on it.\n", "\n", "data2[\"A\"].plot.area(alpha=0.8, figsize=(10,7), title = \"Area Plot with Single Column\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Some important things to know - the plot stacks the data, meaning visually we get the sum of the rows being broken down. This can be helpful for visualising costs against time, and then breaking them down by category.\n", "\n", "The Bar plot is very similar to the area plot, but shifts the focus from trends along the x axis (time for example) to comparision between groups:" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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Sddddp5YtWzr7ZGVlKTc3V7NmzVJ2drYWLFigqVOnXn71AAAA1ZDbpUCbzea84WpxcbGK\ni4udN0+9YNu2berevbtsNptatmypU6dOGb+VBQAAQFXndsZK+u0O7ePHj1dubq5uvvlmtWjRokR7\nQUGB89YZklSvXj0VFBQoIiKiRL/09HSlp6dLklJTU0s8pzoJDAystrVXV4y59zHm3seYex9j7n3+\nPuYVClZ2u12vvPKKTp06penTp+vQoUNq2rTpJR8sOTlZycnJzsfVcY1Vqr7rw9UZY+59jLn3Mebe\nx5h7h2VZKiwslMPhUGhoqM6ePevrkspkWZbsdrtCQ0NLrc4ZO8fqYrVr19bVV1+t7du3lwhWkZGR\nJd6Y+fn5Lm+UCgAAao7CwkIFBQUpMDBQgYGBCggI8HVJ5SoqKlJhYaFq1ap1Wc93e47ViRMndOrU\nKUm/fUNwx44daty4cYk+iYmJysjIkGVZ+v777xUWFlZqGRAAANRMDodDgYGXNJfjM4GBgXI4HJf/\nfHcdjh07pjlz5sjhcMiyLHXq1EnXX3+90tLSJEkpKSnq0KGDMjMz9eijjyo4OFijR4++7IIAAIB/\n+f2yWlVXmXp9eq9ArmOFimLMvY8x9z7G3PsYc+84ffq0wsLCJP02I1RUVOSzWlauXKkRI0boyy+/\nVHx8fJl9Lq73Ao+cYwUAAFBZxS+MM7q/gImvVrjvsmXL1LFjRy1btkxPPvmk0TokbmkDAABqiFOn\nTmnr1q2aPn26li9f7pFjEKwAAECNsGrVKvXs2VPNmzdXRESEduzYYfwYBCsAAFAjLFu2TP3795ck\n9e/fX8uWLTN+DM6xAgAAfu/YsWPauHGjvvvuO9lsNuct+p599lmj31pkxgoAAPi9FStW6M4779TX\nX3+tLVu2aNu2bWratKm2bNli9DgEKwAA4PeWLVumfv36ldh2yy23GF8OZCkQAAB41aVcHsGUf/7z\nn6W2jRgxwvhxCFYAAMDJ3TWmfBGKqhOWAgEAAAwhWAEAABhCsAIAADCEYAUAAGAIwQoAAMAQvhUI\nAAD8XmxsrFq3bi3LshQQEKAXXnhBN9xwg/HjEKwAAIBXjfv8oNH9vdrvSrd9QkNDtXr1aknSunXr\nlJqaqqVLlxqtQ2IpEAAA1DAnT55U3bp1PbJvZqwAAIDfKywsVJ8+fXT27FkdPXpUH330kUeOQ7AC\nAAB+7+KlwG3btumxxx7TmjVrZLPZjB6HpUAAAFCjJCYmqqCgQPn5+cb3TbACAAA1yr59+1RcXKyI\niAjj+2YpEAAA+L0L51hJkmVZmjlzpgICAowfh2AFAAC8qiKXRzDt8OHDXjkOS4EAAACGEKwAAAAM\nIVgBAAAYQrACAAAwhGAFAABgCMEKAADAEIIVAACoEY4ePaqHH35YnTt3Vt++fTV06FDt37/f6DG4\njhUAAPCqjLSTRvfXPSXcbR/LsjRixAjdfffdeuONNyRJu3fvVl5enpo3b26sFoIVAADwexs3blRQ\nUJCGDRvm3Hb11VcbPw5LgQAAwO/t3btX11xzjcePQ7ACAAAwhGAFAAD8XsuWLbVz506PH4dgBQAA\n/F7Xrl117tw5LVmyxLltz5492rJli9HjEKwAAIDfs9lsWrBggdavX6/OnTurV69eeumll1S/fn2j\nx+FbgQAAwKsqcnkET4iJidGbb77p0WMwYwUAAGAIwQoAAMAQghUAAIAhBCsAAABDCFYAAACGEKwA\nAAAM4XILAADA78XGxqp169YqKipSQECA7rrrLj344IOy283OMRGsAACAV33wwQdG9zd48GC3fUJD\nQ7V69WpJUl5enh555BH9+uuvevLJJ43WwlIgAACoUaKiojRt2jQtWrRIlmUZ3TfBCgAA1DjNmjWT\nw+FQXl6e0f0SrAAAAAwhWAEAgBrnhx9+kN1uV1RUlNH9EqwAAECNkp+frwkTJuiBBx6QzWYzum++\nFQgAAPxeYWGh+vTpU+pyC6YRrAAAgFdV5PIIph0+fNgrx2EpEAAAwBC3M1Z5eXmaM2eOjh8/LpvN\npuTkZN1yyy0l+uzevVvTpk1TdHS0JCkpKUl33XWXZyoGAACootwGq4CAAA0dOlRxcXE6c+aMJkyY\noPbt26tJkyYl+rVp00YTJkzwWKEAAABVndulwIiICMXFxUmSatWqpcaNG6ugoMDjhQEAAFQ3l3Ty\n+tGjR3XgwAHFx8eXatu7d6+efPJJRUZGaujQoYqNjS3VJz09Xenp6ZKk1NRU49eO8JbAwMBqW3t1\nxZh7H2PufYy59zHmpeUHuo4G9S5jvH766ScFXrTfQDfH8LWQkJDLfl/YrAreJKewsFCTJ0/WHXfc\noaSkpBJtp0+flt1uV2hoqDIzM7V48WLNmjXL7T5//PHHyyra16KiooxfAh+uMebex5h7H2PufYx5\nacUvjHPZHjDx1Uve5+nTpxUWFibpt1BVVFR0WbV5y8X1XtCoUaMKPbdC3wosKirSjBkz1K1bt1Kh\nSpLCwsIUGhoqSUpISFBxcbFOnDhRoQIAAAA8LTY2Vn369HH+mz17tkeO43YuzrIszZs3T40bN9Zt\nt91WZp/jx4+rbt26stls2rdvnxwOh8LDw40XCwAAqr+Iw2ZDzbHYMW77hIaGavXq1UaPWxa3wWrv\n3r3KyMhQ06ZN9Ze//EWSNGTIEOfUaUpKijZv3qy0tDQFBAQoODhYY8eONX6JeAAAgKrObbBq3bq1\nPvroI5d9+vbtq759+xorCgAAwKQLt7S5YMyYMerfv7/x41Tt0/IBAAAM8NZSILe0AQAAMIRgBQAA\nYAhLgQAAwO/9/hyrXr166emnnzZ+HIIVAADwqopcHsG0w4cPe+U4LAUCAAAYQrACAAAwhGAFAABg\nCMEKAADAEIIVAACAIQQrAAAAQ7jcAgAAZYg4PNtluy8uGYDLFxsbq9atWzsfv/XWW4qNjTV+HIIV\nAADwqrT9k4zuL6X5c277cK9AAACAaoYZKwAA4PcuvqVN06ZNtXDhQo8ch2AFAAD8HkuBAAAA1QzB\nCgAAwBCCFQAAgCGcYwUAALyqIpdHMC07O9srx2HGCgAAwBCCFQAAgCEEKwAAAEMIVgAAwKMsy/J1\nCZekMvUSrAAAgEfZ7XYVFRX5uowKKSoqkt1++fGIbwUCAACPCg0NVWFhoc6ePavQ0FCdPXvW1yWV\nybIs2e12hYaGXvY+CFYAAMCjbDabatWqJUmKiopSXl6ejyvyHJYCAQAADCFYAQAAGEKwAgAAMIRg\nBQAAYAjBCgAAwBCCFQAAgCEEKwAAAEMIVgAAAIYQrAAAAAwhWAEAABhCsAIAADCEYAUAAGAIwQoA\nAMAQghUAAIAhBCsAAABDCFYAAACGEKwAAAAMIVgBAAAYQrACAAAwhGAFAABgCMEKAADAEIIVAACA\nIQQrAAAAQwhWAAAAhhCsAAAADCFYAQAAGBLorkNeXp7mzJmj48ePy2azKTk5WbfcckuJPpZladGi\nRcrKylJISIhGjx6tuLg4jxUNAABQFbkNVgEBARo6dKji4uJ05swZTZgwQe3bt1eTJk2cfbKyspSb\nm6tZs2YpOztbCxYs0NSpUz1aOAAAQFXjdikwIiLCOftUq1YtNW7cWAUFBSX6bNu2Td27d5fNZlPL\nli116tQpHTt2zDMVAwAAVFGXdI7V0aNHdeDAAcXHx5fYXlBQoKioKOfjevXqlQpfAAAA/s7tUuAF\nhYWFmjFjhu6//36FhYVd1sHS09OVnp4uSUpNTS0RxqqTwMDAalt7dcWYex9j7n2Mufe5GnNbjus/\nkf76s8oPdP2661Xydfv7+7xCwaqoqEgzZsxQt27dlJSUVKo9MjJSeXl5zsf5+fmKjIws1S85OVnJ\nycnOxxc/pzqJioqqtrVXV4y59zHm3seYe5+rMY8oKnL53GN++rMqdvO6K/sera7v80aNGlWon9ul\nQMuyNG/ePDVu3Fi33XZbmX0SExOVkZEhy7L0/fffKywsTBEREZdWMQAAQDXndsZq7969ysjIUNOm\nTfWXv/xFkjRkyBBn2kxJSVGHDh2UmZmpRx99VMHBwRo9erRnqwYAAKiC3Aar1q1b66OPPnLZx2az\naeTIkcaKAgAAqI648joAAIAhBCsAAABDCFYAAACGEKwAAAAMIVgBAAAYQrACAAAwhGAFAABgCMEK\nAADAEIIVAACAIQQrAAAAQwhWAAAAhhCsAAAADCFYAQAAGEKwAgAAMIRgBQAAYAjBCgAAwBCCFQAA\ngCEEKwAAAEMIVgAAAIYQrAAAAAwhWAEAABgS6OsC/E3E4dku24/FjvFSJQAAwNuYsQIAADCEYAUA\nAGAIwQoAAMAQghUAAIAhBCsAAABDCFYAAACGEKwAAAAMIVgBAAAYQrACAAAwhGAFAABgCMEKAADA\nEIIVAACAIQQrAAAAQwhWAAAAhhCsAAAADCFYAQAAGEKwAgAAMIRgBQAAYAjBCgAAwBCCFQAAgCEE\nKwAAAEMIVgAAAIYQrAAAAAwhWAEAABhCsAIAADCEYAUAAGAIwQoAAMAQghUAAIAhBCsAAABDCFYA\nAACGEKwAAAAMIVgBAAAYEuiuw9y5c5WZmam6detqxowZpdp3796tadOmKTo6WpKUlJSku+66y3yl\nAAAAVZzbYNWzZ0/17dtXc+bMKbdPmzZtNGHCBKOFAQAAVDdulwLbtm2rOnXqeKMWAACAas3tjFVF\n7N27V08++aQiIyM1dOhQxcbGltkvPT1d6enpkqTU1FRFRUWZOLzXBQYGllu7Lcf1kFbX1+xrrsYc\nnsGYex9j7n38Pi8tP9D1665Xydft7+/zSgerq666Sm+88YZCQ0OVmZmpV155RbNmzSqzb3JyspKT\nk52P8/LyKnt4n4iKiiq39oiiIpfPPVZNX7OvuRpzeAZj7n2Muffx+7y0Yjevu7Lv0er6Pm/UqFGF\n+lX6W4FhYWEKDQ2VJCUkJKi4uFgnTpyo7G4BAACqnUoHq+PHj8uyLEnSvn375HA4FB4eXunCAAAA\nqhu3S4EzZ87Unj17dPLkSY0aNUoDBw5U0f9NE6akpGjz5s1KS0tTQECAgoODNXbsWNlsNo8XDgAA\nUNW4DVZjx4512d63b1/17dvXWEEAAADVFVdeBwAAMIRgBQAAYAjBCgAAwBCCFQAAgCEEKwAAAEMI\nVgAAAIYQrAAAAAwhWAEAABhCsAIAADCEYAUAAGAIwQoAAMAQghUAAIAhBCsAAABDCFYAAACGEKwA\nAAAMIVgBAAAYQrACAAAwhGAFAABgSKCvCwAAfzHu84Mu21/td6VX6gDgO8xYAQAAGEKwAgAAMIRg\nBQAAYAjBCgAAwBCCFQAAgCEEKwAAAEMIVgAAAIYQrAAAAAwhWAEAABhCsAIAADCEYAUAAGAIwQoA\nAMAQghUAAIAhBCsAAABDCFYAAACGEKwAAAAMIVgBAAAYQrACAAAwhGAFAABgCMEKAADAEIIVAACA\nIYG+LgA1w7jPD7psf7XflV6pAwAAT2LGCgAAwBCCFQAAgCEEKwAAAEMIVgAAAIYQrAAAAAwhWAEA\nABhCsAIAADCEYAUAAGAIwQoAAMAQrrx+GebNm6eioqIy2x7u4uViAABAlcGMFQAAgCEEKwAAAEPc\nLgXOnTtXmZmZqlu3rmbMmFGq3bIsLVq0SFlZWQoJCdHo0aMVFxfnkWIBAACqMrczVj179tTTTz9d\nbntWVpZyc3M1a9YsPfjgg1qwYIHRAgEAAKoLt8Gqbdu2qlOnTrnt27ZtU/fu3WWz2dSyZUudOnVK\nx44dM1okAABAdVDpc6wKCgoUFRXlfFyvXj0VFBRUdrcAAADVjlcvt5Cenq709HRJUmpqaolAVp3Y\nbDYFBpY9dOVtv6C6vubKCgw84rLd3bgEBgbW2LHzFcb80vE+r35cjbktp2b+Ps9383esXiVft7+/\nzysdrCIjI5WXl+d8nJ+fr8jIyDL7JicnKzk52fn44udVJ5ZllXsdq/K2X3Csmr7mynI3Lu7eC1FR\nUdX2/VJdMeaXjvd59eNqzCNq6O/z4kq+j92pru/zRo0aVahfpYNVYmKiVq5cqS5duig7O1thYWGK\niIio7G4rpfiFcS7bAya+6qVK4A0Rh2e7bD8WO8ZLlQAAajq3wWrmzJnas2ePTp48qVGjRmngwIHO\nT2UpKSkNWq10AAASnElEQVTq0KGDMjMz9eijjyo4OFijR4/2eNEAAABVkdtgNXbsWJftNptNI0eO\nNFYQAABAdcWV1wEAAAwhWAEAABhCsAIAADCEYAUAAGAIwQoAAMAQghUAAIAhBCsAAABDCFYAAACG\nEKwAAAAMIVgBAAAYQrACAAAwhGAFAABgiNubMNdEGWknfV0CAACohghWQDVV/MI4l+0BE1/1UiUA\ngAtYCgQAADCEYAUAAGAIwQoAAMAQzrECANRY8+bNU1FRUZltD3fxcjHwC8xYAQAAGMKMFQCgyuLb\nr6humLECAAAwhGAFAABgCMEKAADAEIIVAACAIQQrAAAAQwhWAAAAhhCsAAAADCFYAQAAGEKwAgAA\nMIRgBQAAYAjBCgAAwBCCFQAAgCEEKwAAAEMCfV0AAACekpF20tcloIZhxgoAAMAQghUAAIAhNXIp\ncNznB122Dwio551C/EjxC+Ncd7j+Ue8UAgCADzFjBQAAYAjBCgAAwBCCFQAAgCEEKwAAAEMIVgAA\nAIbUyG8F+lLa/kku21OaP+elSgAAgGnMWAEAABhCsAIAADCEYAUAAGAIwQoAAMAQghUAAIAhfCsQ\nAAB4zbx581RUVFRm2+DBg71cjXkEKwDGcVkRADUVS4EAAACGEKwAAAAMIVgBAAAYQrACAAAwpEIn\nr2/fvl2LFi2Sw+FQ7969NWDAgBLtu3fv1rRp0xQdHS1JSkpK0l133WW+WgDwoeIXxrnucP2j3ikE\nQJXlNlg5HA4tXLhQEydOVL169fTXv/5ViYmJatKkSYl+bdq00YQJEzxWKAAAQFXnNljt27dPMTEx\natCggSSpc+fO2rp1a6lgBQBwLSPtpMv2O+6J8lIlADzF7TlWBQUFqlevnvNxvXr1VFBQUKrf3r17\n9eSTT2rq1Kk6fPiw2SoBAACqASMXCL3qqqv0xhtvKDQ0VJmZmXrllVc0a9asUv3S09OVnp4uSUpN\nTVVUlGc+neUHun5Zge7aA1y322y2cvfhdt8O1+2eGhNPq+yYu3vdgYGB5fax5fjnmLrjbszrVfJ1\nuxpzt8/9wT9/Jp7+3VKZMfdXlX2fBwaecdlemd/n/vqz8vTvFldj7g9j6jZYRUZGKj8/3/k4Pz9f\nkZGRJfqEhYU5/5+QkKCFCxfqxIkT+sMf/lCiX3JyspKTk52P8/LyLrtwV4rLuVT+BeVdSt/Zbrlu\ntyyr3H243bebdk+NiadVdszdve6oqKhy+0S42fexajqm7rgb88q+l1yNuTu8z8tpd/O7paioqNqO\njadU9n3u7mdSmd/n/G65PK7GvDhrisvnHosdU6ljV0ajRo0q1M/tUmDz5s2Vk5Ojo0ePqqioSJs2\nbVJiYmKJPsePH5dlWZJ+OyfL4XAoPDz8MsoGAACovtzOWAUEBGj48OF68cUX5XA41KtXL8XGxiot\nLU2SlJKSos2bNystLU0BAQEKDg7W2LFjZbPZPF48AABAVVKhc6wSEhKUkJBQYltKSorz/3379lXf\nvn3NVgbAp/z9DvQA4AlceR0AAMAQghUAAIAhBCsAAABDCFYAAACGEKwAAAAMIVgBAAAYQrACAAAw\nhGAFAABgiJGbMAMA4AvjPj/osn1AQD3vFFKDuBvzV/td6ZU6qipmrAAAAAwhWAEAABhCsAIAADCE\nc6wAAEC1kLZ/ksv2lObPeamS8jFjBQAAYAjBCgAAwBCCFQAAgCEEKwAAAEMIVgAAAIYQrAAAAAwh\nWAEAABhCsAIAADCEYAUAAGAIwQoAAMAQghUAAIAh3CsQqKEy0k76ugQA8DvMWAEAABhCsAIAADCE\npUAAlyzi8GxflwAAVRIzVgAAAIYwYwUA1YC7WcJjsWO8VAkAV5ixAgAAMIRgBQAAYAjBCgAAwBCC\nFQAAgCEEKwAAAEMIVgAAAIYQrAAAAAzhOlYA4AfS9k9y2Z7S/DkvVVJzMOYoCzNWAAAAhhCsAAAA\nDGEpENXCvHnzVFRUVGbbw128XAzgIbzPgeqPGSsAAABDCFYAAACGEKwAAAAMIVgBAAAYwsnrgJ8a\n9/lBl+0DAup5pxAAqEGYsQIAADCEYAUAAGAIwQoAAMAQghUAAIAhBCsAAABDCFYAAACGcLkFVAkZ\naSd9XQIAAJXGjBUAAIAhFZqx2r59uxYtWiSHw6HevXtrwIABJdoty9KiRYuUlZWlkJAQjR49WnFx\ncR4pGAAAoKpyG6wcDocWLlyoiRMnql69evrrX/+qxMRENWnSxNknKytLubm5mjVrlrKzs7VgwQJN\nnTrVo4UDFZW2f5LL9pTmz3mpEgCAv3O7FLhv3z7FxMSoQYMGCgwMVOfOnbV169YSfbZt26bu3bvL\nZrOpZcuWOnXqlI4dO+axogEAAKoim2VZlqsOmzdv1vbt2zVq1ChJUkZGhrKzszVixAhnn9TUVA0Y\nMECtW7eWJD333HO699571bx58xL7Sk9PV3p6uvM5AAAA/sSrJ68nJycrNTW12oeqCRMm+LqEGocx\n9z7G3PsYc+9jzL3P38fcbbCKjIxUfn6+83F+fr4iIyNL9cnLy3PZBwAAwN+5DVbNmzdXTk6Ojh49\nqqKiIm3atEmJiYkl+iQmJiojI0OWZen7779XWFiYIiIiPFY0AABAVRQwZcqUKa462O12xcTE6PXX\nX9fKlSvVrVs33XjjjUpLS9P+/fvVvHlzxcTE6Pvvv9fixYu1fft2PfTQQ34/Y8XlJLyPMfc+xtz7\nGHPvY8y9z5/H3O3J6wAAAKgYrrwOAABgCMEKAADAEIIVAACAIRW6V2BNdv78eW3ZskVHjx6Vw+Fw\nbr/rrrt8WBWA6s7hcCg7O1utWrXydSk1zqFDh9S0aVNfl1Ej/Pjjj/rkk0+Ul5en4uJi5/bJkyf7\nsCrPIli5MW3aNIWFhSkuLk5BQUG+LqfG2bJli7777jvZbDa1bt1aHTt29HVJfsvhcOj555/36194\nVYndbtfChQs1bdo0X5dS4yxYsEDnz59Xz5491a1bN4WFhfm6JL/12muvqU+fPkpOTpbdXjMWyQhW\nbhQUFOiZZ57xdRk10oIFC5Sbm6suXbpIklavXq0dO3Zo5MiRPq7MP9ntdtlsNp0+fZo/NF7Srl07\nbd68WUlJSbLZbL4up8Z47rnnlJOTo7Vr12r8+PGKj49Xr1691L59e1+X5nfsdrtSUlJ8XYZXEazc\naNmyJdPGPrJr1y699tprzj84PXr00BNPPOHjqvxbaGionnjiCbVv314hISHO7cOHD/dhVf4rPT1d\nK1askN1uV3BwsCzLks1m09tvv+3r0vxew4YNNXjwYMXFxWnRokU6ePCgLMvSkCFDlJSU5Ovy/Mb1\n11+vVatWqWPHjiVWferUqePDqjyLYOXGd999p3Xr1ik6OlpBQUHOX3zTp0/3dWl+LyYmRnl5eapf\nv76k326V1KBBAx9X5d86duzIcqsXvfPOO74uoUb64YcftHbtWmVlZemaa67R+PHjFRcXp4KCAk2c\nOJFgZdCXX34pSfrkk0+c22w2m2bPnu2rkjyOC4S68fPPP5e5/cIfe5iXmprqXJLav3+/4uPjZbPZ\nlJ2drfj4eLm5WQBQrXAeofdNnjxZvXv31o033qjg4OASbRkZGerevbuPKoM/IFhV0C+//KLz5887\nH0dFRfmwGv+2Z88el+1t27b1UiU1T05Ojt577z0dOXKkxPvdnz9d+tLvzyPctGmTGjRowHmE8BsX\nZqx+r0ePHl6uxHtYCnRj27Zteuedd3Ts2DH94Q9/UF5enho3bqxXX33V16X5rYuD088//6ycnBy1\nb99e586dK/F1XZg3d+5cDRw4UG+//baefvpprV27Vnz28hzOI/QNPkB4z/79+53/P3funHbt2qWr\nrrrKr4NVzfjuYyV8+OGHevHFF9WwYUPNmTNHzz77rFq0aOHrsmqE9PR0vfrqq5o/f76k386xeuWV\nV3xclX87d+6crrnmGlmWpfr162vgwIHKzMz0dVl+68J5hBdwHqF3zJ07VykpKQoICNDkyZPVvXt3\ndevWzddl+aXhw4c7/40aNUovv/yyCgsLfV2WRxGs3AgICFB4eLgsy5LD4VC7du303//9374uq0ZY\ntWqVnn/+edWqVUvSb9/i+eWXX3xclX8LCgqSw+FQw4YNtXLlSn399dd+/0vQl86cOaPHH39cU6ZM\n0ZQpUzRu3DgVFhbq5Zdf1ssvv+zr8vwWHyB8JyQkREePHvV1GR7FUqAbtWvXVmFhoVq3bq1Zs2ap\nbt26Jb6GDs8JCgpSYOD/v0WLi4u51o+H3X///Tp37pweeOABffjhh9q1a5ceeeQRX5fltwYNGuT8\nv2VZ+vbbb7Vp0yYNHDjQh1X5v99/gIiMjOQDhIdc+DKS9NtFiI8cOaJOnTr5uCrP4uR1N86ePeu8\n9kZGRobOnDmjbt26+fU1OKqKJUuWKCwsTBkZGRo+fLhWrVqlJk2aaMiQIb4uDTDmwIED2rBhgzZv\n3qzo6Gh17NhR/fr183VZfm3fvn1q0qSJTp06pQ8//FCnT5/WH//4R7Vs2dLXpfmdi7+MFBAQoPr1\n6ysyMtKHFXkewaocw4YNKzU7cmGogoKCFBMTo8GDB+uaa67xRXk1gsPh0Jo1a7Rjxw5ZlqVrr71W\nvXv3ZtbKA9wtO40fP95LldQMP/74ozZu3KiNGzcqPDxcnTt31n/9139p7ty5vi4NMOLC39DfRwyb\nzabAwEC//htKsLoMDodDhw4d0uuvv64ZM2b4uhy/k5eXx+UsvGzEiBGKiopSly5dFB8fX6qdS1yY\nNWjQILVu3VoPP/ywYmJiJEljxozhW2kexgeIqsHf/4YGTOFqi5fMZrPpiiuukN1uV/PmzX1djt/5\n29/+pj59+kiSpk+frs6dO/u4Iv93++23Kzo6Wjt37tSXX34pu92u+Ph4xcfHczFcD2jWrJny8vK0\ndOlSHTlyRCEhIdq2bZtuvfVWX5fm1xYtWiSbzaaEhAR16tRJrVq1KvGP97p3+PvfUGasUOU89dRT\nmjZtWqn/wzvOnz+vjRs36t1339Xdd9+tvn37+rokv1VYWKht27Zpw4YN2r17t7p3766OHTvq2muv\n9XVpfsnhcGjHjh3asGGDDh06pISEBHXp0kWxsbG+Lg1+hG8Fosq5+BwqzqfynvPnzyszM1MbN27U\nzz//rH79+nF7FQ8LDQ1V165d1bVrV/3666/avHmzli9fTrDyELvdruuuu07XXXed8wPElClT+AAB\no5ixQpUzaNAghYaGyrIsnTt3znl5iws3wH777bd9XKH/mT17tg4fPqwOHTqoc+fOatq0qa9LAjzi\n9x8grr/+et10001+/001eA/BCoAGDRrkDLAXzxISZuFP+AABbyBYAQBqBD5AwBsIVgAAAIZwr0AA\nAABDCFYAAACGEKwA1GgDBw5Ubm6ur8sA4CcIVgCqjEceeURDhgzRiRMnSmx/6qmnNHDgQB09erRS\n+58yZYq++OKLSu0DAFwhWAGoUqKjo7Vx40bn40OHDuns2bM+rAgAKo4rrwOoUrp3766MjAz169dP\nkrRu3Tr16NFDH3zwgSTp9OnTeuutt5SVlaWQkBD17t1bf/rTn2S327Vu3Tp98cUXatGihdauXauw\nsDCNHDlSHTp00Pvvv69vv/1W2dnZWrx4sXr27KkRI0ZIknbs2KGpU6fqxIkT6tq1q0aMGMFV/wFc\nFmasAFQpLVq00OnTp3XkyBE5HA5t2rRJ3bp1c7a/9dZbOn36tGbPnq0pU6YoIyND69atc7bv27dP\njRo10sKFC9W/f3/NmzdPlmVpyJAhatOmjYYPH653333XGaokKTMzUy+99JKmT5+ur776St988403\nXzIAP0KwAlDlXJi12rFjhxo3buy83YjD4dDGjRt1zz33qFatWoqOjtZtt92mjIwM53OjoqKUnJws\nu92uHj166NixY/rll19cHm/AgAGqXbu2oqKidPXVV+vgwYOefHkA/BjBCkCV0717d23YsMG5DHjB\nyZMnVVxcrKioKOe2+vXrq6CgwPn4iiuucP7/wlW2CwsLXR7v989x1x8AykOwAlDl1K9fX9HR0crK\nylLHjh2d28PDwxUQEKC8vDzntry8vArfQJfzpgB4GievA6iSRo0apVOnTik0NFTFxcWSJLvdrk6d\nOun999/XmDFj9Ouvv+rTTz/V7bffXqF91q1bVz/99JMnywZQwzFjBaBKiomJUfPmzUttHz58uEJC\nQjRmzBhNmjRJXbt2Va9evSq0z1tuuUVbtmzRAw88oLfeest0yQDATZgBAABMYcYKAADAEIIVAACA\nIQQrAAAAQwhWAAAAhhCsAAAADCFYAQAAGEKwAgAAMIRgBQAAYAjBCgAAwJD/BYRRuG6sFsxkAAAA\nAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data2.plot.bar(alpha=0.8, figsize=(10,7), title = \"Bar Plot\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The barh plot does exactly the same thing just horizontally:" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 51, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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sAAAAhqOwAQAAGI7CBgAAYDgKGwAAgOEobAAAAIajsAEAABiOwgYAAGA4ChsA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\nQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data2[\"B\"].plot.barh(alpha=0.8, figsize=(10,7), title = \"Horizontal Bar Plot\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When using data with more entries, it's not helpful to use these plots as we'd have far to many x points. A histogram is helpful here as it sorts the x values into bins:" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 67, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data1[\"Y\"].plot.hist(alpha=0.8, figsize=(10,7))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Another way of looking at the distribution of data is a box plot:" ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data1.plot.box(figsize=(10,7))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "However, if we have categorical data like in the data2 dataframe, we can get some insight into what it would look like if it were continuous using the kde or denisity plot:" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data2['A'].plot.kde()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We also have the classic pie plot..." ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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cKC1533pFdARDYIFKoq0bufpEYni7FMwKZeO6ipKkvcezfTn4ZOZ1SXt9IhIj\nsOp9RPu5d/dUWKCSxOdV0NTA0QUkTiSiwdms4e6ySpQ4bEl5j/92TEbTiDOS8tpEJIgShv+910Wn\n0D0WqCTZvbNPdAQiAIC3NYwvmwpwYWlhwl87oKj4z5rr4fekZpQCEaWG782XRUfQPRaoJNnDAkU6\nEgpGUdZmwh2VFcgyJ3bzd6NXwa/m3MtN5URpRNm3C6Gdn4qOoWssUEnQ36egtTkgOgbRcYJNCm52\nl2BaQU5CX3dNl4q/XfyDhL4mEYnl42byL8QClQR7dnLzHemXvy+CCX123FJZDrOUuHEHi/s8+OSc\n6xP2ekQkVmBVPWdCfQEWqCTg/ifSO00FpKYI7iiqwIhsZ8Je97/tdWgcOTVhr0dE4qg9XQh/tlV0\nDN1igUqwvp4w2luDomMQDYi3M4y5EQ+uKi9OyOsFFBU/HX0dN5UTpYngJx+KjqBbLFAJxtUnMpqI\nosHTAtxVXolCu3XQr8dN5UTpI/gxC9TJsEAl2IG9/aIjEJ0WX0sY11gLMbc4f9CvtaZLxYvcVE5k\neOFd2xDt7RYdQ5dYoBJIUVS08fIdGVjQH8XQDgu+XVUBh3lwfz081+fBx+fekKBkRCSEqiK4dqXo\nFLrEApVArU1+qFHesUDGF25UcKunDHV57kG9zmO2SWgYNS1BqYhIBF7GOzEWqARqPOgTHYEoYXy9\nCqZ6XbixsgzyaU47CCgqfjZqEXw5QxIbjohSJrh+NbRoVHQM3WGBSqBmnn1HaUZVNZiborhzSCWG\nZtlP6zUavQp+df6/IiqbE5yOiFJB7e9FeMdm0TF0hwUqQRRFRXsrp49TevJ2hHGhmofLy05vJenj\nLhV/veS+BKciolQJrlstOoLusEAlSEujH6oqOgVR8ihhFfmtEu4sr0Se1RL3n3+hNxtrzv1KEpIR\nUbJxoObxWKASpIn7nyhD+FvCuN5RhFlFeXH/2cesE9Ew6qwkpCKiZArv2SE6gu6wQCVIcyP3P1Hm\nCPiiGNVtxbcqK2AzDXyHeTCi4qejruGmciKDUbs6EO3uFB1DV1igEkDTNHR1hETHIEopTQMiTQpu\nyyvH+NzsAf+5Jq+Cx7mpnMhwwru5CnU0FqgE8PYrUBRugKLM5O1WMMOfhRsqSzHQtahPuKmcyHAU\nXsY7BgtUAnR3cvWJMls0qsHepOKu0kqUOW0D+jMv9GZj9ayvJjkZESUKV6COxQKVACxQRDHetjAu\nk/NxcWl50NJ0AAAgAElEQVThgD7+ccsEbionMgiuQB2LBSoBurvCoiMQ6UY4qKK4zYTvVFTCY/ni\nfU7BiIr/HHUNvLnFKUpHRKcr0twA1e8VHUM3WKASoLuTBwgT/bNAcxhfyyrGjMLcL/y4Zq+Cx2dz\nUzmR7mkalD2fiU6hGyxQCdDdyRUoohPx90cwrseGb1SWw/wFB+qt7YrihUvuT2EyIjodysE9oiPo\nBgvUIPX38Q48oi+iaYDWFMEdBeWo8bhO+nF/7c3ipnIinYt2dYiOoBssUIPU18vVJ6KB8HYpOC/k\nxqKKkpN+zGOWCThQMyOFqYgoHhymeQQL1CAF/BHREYgMIxLRkNWs4e6ySgxxWI97PhRR8dPhV8Gb\ne/KSRUTicAXqCBaoQQoGoqIjEBmOtzWMK82FmF9ScNxzLT4Fj82+h5vKiXRI5QrUYSxQg8QVKKLT\nEwpEUdFuxh2VlXCZj/2raF1XFM9zUzmR7vAS3hEsUIPEFSiiwQk2hXGLuxRT8z3HPP5ibxZWnXej\nmFBEdEIsUEewQA1SMMAVKKLB8vdFUNfvwM2VZTBLR8Yd/Mpcy03lRHoSURDt7xWdQhdYoAYpwBUo\nooRQVUBuiuI7RRUYnu0EwE3lRHqkciM5ABaoQeMeKKLE6u8M44JoDq4sjx3v0uJT8Nh59yBqsghO\nRkQAL+N9jgVqkLgHiijxlLCKnBbgrvJKFNgsWNcdxXPcVE6kC6qvX3QEXWCBGqRoRBMdgSht+VrC\nWGQrwpwhefhbj4ubyon0IMqFA4AFavBOfrwXESVA0B9FdacVt1VW4H+sE7C/5mzRkYgymsYCBYAF\niogMQmlS8DV3CZZO/Ar680tFxyHKXCxQAIABj/ptaGjAtm3b4PV6kZWVhZqaGlRUVCQzmyFwAYoo\ndXw9CkaYXNh20YOY8uztMEV5EwdRqmn8ugMwgAKlaRqefPJJvP/++8jPz0dubi66urrQ3d2Nc889\nF7fddhskiTWCiAZHllWYrQpMZgWSKQxJDkNDCKoWQjQaRCQaxLAiDSMKAiiytmDLg3Owume96NhE\nGef80TaMEx1CB05ZoN5++21s3boVP/nJTzBixIjDj+/atQuPP/44li1bhgsuuCCpIXWN3ZHoOJqm\nwWKNwGxRIJvDkGQFkEJQcaQMKUoQoXAAwaAfgYAf4XD4uNcpL3Ri2mgXhuUH4VYbIEX9gAYgBEwK\nStjtKEWLb2/q/wOJMpnM3T/AAArUBx98gJtuuumY8gQAI0aMwI033oiXX345swsUUQaQ5Whsdcii\nQJKPWh1SQ4ioQSiRIMLhAEKhAAIBH4LBIFRVjft9HDYTzhqbi7ElGoqsbTCFd8eeUE6QSdIwV3bh\nOdmGiBoa5H8hEQ2USeJB38AAClRDQwPGjh17wufGjh2L3/zmNwkPRUTJpMJsjcBsiUA+dKkMUhiq\nFkRUDSESCSD8T6tDinKCBpMg46rdmDLMjorsPjiUg4DWEHvi+AWp4+SGezAjZxI+6FqdtHxEdCxJ\nMomOoAunLFCqqsLhcJzwOYfDcVr/ykwnMvd/kWAmU2x1SDaHIZtil8oOrw5Fj6wOBYN+BIJ+BINB\naJq4+WUFOXZMH5ONkYVh5KIJUqQ59sQACtOJTPA2Yk/2KDT070xcSCI6KZkFCsAAClQ0GsWWLVtO\n+nymFyir3YRgkLd0UmJIkgqzJbZ3SDKHIUlhaFIImhZCNBqCEg1AUYIIhvwIBgMIBPyIRPR9R4zF\nLGNqTS7GV0gotnXCEt4HQAMSFFuSgLmaCc+anAhH/Yl5USI6KbNsFR1BF05ZoDweD5588smTPu92\nuxMayGgcDhP6ekSnIL0yWRSYzRHIn+8dkkLQEEZU/XwjdQChz/cO+f0IhoKiIyfEiPJsTB3hQFWO\nF65IAyS1MfbEaa4ynUq20o9zPbV4u2tNct6AiA5z2fJER9CFUxaoJ554IhU5DMvh5Ga6TCHJKswW\nJXZn2eeXyo7aO6QoR68O+REIBBDNkIFzHpcVZ43xoKY4gnxTC2RlcJflTscYXxP2eMZhT++nqXtT\nogzksuWLjqAL/O4/SCxQxqRpGiyWCEy2CExyGJIpDMhhqGoQqhaCEomtDoXDwcN7h0Ih3un1OVkC\n6kbmYtJQM0qd3bApDYC2H1AR+yHIbEVBs8WNgNInLgRRGpMlM5zWXNExdIHf/QfJ4eRmOj2QZBUW\naximQ3eW4dClstgQxsChjdTHrg5l+v69eJUXOjGtJgvD8wLIVhsgRVO/ynQqzqgf52eNxmvdH4uO\nQpSWXLY8Ds8+hAVqkLgClQzaodvsw5DNEUhyrAxpRw1hDCsBhEMBBEMB+P2+pN5mn6nimcmkJ8P8\nzajJmYjtPRtFRyFKO1m8fHcYv/sPksPBFahTkU0RmK0RmMwKZFMIkJRYGVKP7B0Kh2NlKBCI3V0m\n8jb7TFY7zIPJ1VZUZPfHPZNJT84NedFgzYc33Ck6ClFacdkKREfQDRaoQcq8FSgVFtuhMmQ+NITx\n80tlhyZSf35nWSDgN8Rt9pmsKNeOaTWJm8mkFzY1hLnOarwc7kLs7BciSoQsFqjDMu27f8K5soz9\nP6FsjsBiOXKAK6Sjjug4tHcoNpE6gGAgdps9V4eMy2qWcUZNDsZXyEmZyaQnFYEWTMitw6budaKj\nEKUNXsI7wtjf/XUg22OFLAN62I8sSbEjOkyW2ETqz88r07TYeWWRz88rOzSV2u/3Z8xt9pks1TOZ\n9GRGoAsH7MXoCbaIjkKUFrLsXIH6HAvUIMmyBHeOFT1dif1upGna4fPKTOajzitDCKoaRCQaOnyp\nLDaR2sfb7AmAPmYy6YVFi2CevQQvhtqgaTr4Vw6RwfES3hEsUAmQk2s7ZYGSZTV2mv2hS2WHT7PX\nYneWKZHYnWWh0JG9Q7zNngbCJEuoG5mDiVVmlLq6YQsdBCB+JpNeFAfbcUbuFHzcxdEGRIPlcZSK\njqAbLFAJkFsYRntXw6HVoRCUSGwi9dGn2YfDGfjPf0qa42cyNcWe4CLkCU31tWGvswId/oOioxAZ\nltOaA7djiOgYusEClQA2pxdbtr8rOgalMaPOZNILE6KYZ87DC1ILohr/RyM6HUPco0VH0BUWqAQo\nKSkRHYHSULrMZNKLglAXpuVNxsrO1aKjEBnSEHeN6Ai6wgKVAAUFBbBYLJyGTYOSrjOZ9GRyfyP2\nZQ1Hk3e36ChEhlPs4QrU0VigEkCWZRQXF+PgQe6voIHLpJlMeiFJwFzYsdhkhxINio5DZCjFXIE6\nBgtUgpSVlbFA0Sll8kwmvfAovTjbMwH1XWtERyEyDI+jBA6rR3QMXWGBSpDq6mp89NFHomOQznAm\nkz6N9zVhr7sG+/u2i45CZAjcQH48FqgEGTFiBCRJ4jEnGY4zmYzj/CjwrNmFUMQnOgqR7hV7ePnu\nn7FAJYjL5UJpaSkaGxtFR6EU40wmY8qKeDHLPQ5v8VIe0Slx/9PxWKASaOTIkSxQGYAzmdLHaF8T\n9njGY1fvZtFRiHRLkmQUuUeKjqE7LFAJNHLkSNTX14uOQUnAmUzp67xIEE3WHPjDPaKjEOlSWc54\nWEx20TF0hwUqgaqqqmC1Wnl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60TEyjtXkxPza72NE0UzRUShFWKBoQDRNg9bwD6j7/sZR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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data2[\"D\"].plot.pie(figsize=(10,7))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "...the scatter plot..." ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 74, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data1.plot.scatter(x=\"X\", y=\"Y\", figsize=(10,7),s=30)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "...and finally, the hexbin plot, which works the same way as the scatter plot, but gives us a heatmap of the space:" ] }, { "cell_type": "code", "execution_count": 77, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 77, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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zxly7QOuvnB5CA3tBiBtC0XVxrPnMOePM2UnMib33a/stGtUqRkv35CDHPnnp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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data1.plot.hexbin(x='X',y='Y',gridsize=10, figsize=(10,7))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Worked Example" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Pandas plots are usually used for a quick-and-dirty method to get a quick idea of what data looks like, and usually aren't used as a final plotting product. However, because they are built on matplotlib, we can still use some nifty tricks to get some nice results. In this example we're going to look at graphing population vs area vs gdp per capita of a number of countries:" ] }, { "cell_type": "code", "execution_count": 84, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Population GDP Area\n", "Country \n", "Aruba 103889.0 594.323081 180.0\n", "Afghanistan 32526562.0 4101.472152 652860.0\n", "Angola 25021974.0 3945.217582 1246700.0\n", "Albania 2889167.0 NaN 28750.0\n", "Andorra 70473.0 6537.301118 470.0\n" ] } ], "source": [ "countries = pd.read_excel('countries.xlsx', index_col=\"Country\")\n", "print(countries.head())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Before we graph anything, note we have some NaNs in our data, meaning the data wasn't available. To get rid of these rows, we can just use the dropna method:" ] }, { "cell_type": "code", "execution_count": 85, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Population GDP Area\n", "Country \n", "Aruba 103889.0 594.323081 180.0\n", "Afghanistan 32526562.0 4101.472152 652860.0\n", "Angola 25021974.0 3945.217582 1246700.0\n", "Andorra 70473.0 6537.301118 470.0\n", "Arab World 392168030.0 40438.762934 13152649.5\n" ] } ], "source": [ "countries = countries.dropna()\n", "print(countries.head())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Great - now our dataframe has no rows with missing values, we can go ahead and plot our data:" ] }, { "cell_type": "code", "execution_count": 94, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 94, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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0Gc2bNzdJzEKIyk2SMCFEueHl5cWmTZvZvXs3Tk5OBAUFFXuh/I7tf3P48GE6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\nSUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "countries.plot.scatter(x=\"Population\", y=\"Area\", c=\"GDP\", colormap=\"copper\", figsize=(10,8), loglog=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Mini Project" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Below we have some data for people's ages and their salary, split by sex. Try graphing a scatter plot of the two, split by sex, and also a bar plot detailing the mean salary for men and women." ] } ], "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": "3.6.0" } }, "nbformat": 4, "nbformat_minor": 2 }