MatPlotLib.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# MatPlotLib Basics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Draw a line graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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W7WRYYgw3jmzLcsnGuE9YcCCPT89g+6EK3sqxhdmdZMXvB55fmc+Rihp+ct1g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\n8TNW/MYY42f+P71wO+RZTsHvAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c584b7a1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "from scipy.stats import norm\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x = np.arange(-3, 3, 0.01)\n",
    "\n",
    "plt.plot(x, norm.pdf(x))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Mutiple Plots on One Graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Zlf/NIll/nkJb717Rzn4alaecLKviriWbCA91sHjOGDpHtoMhj43VD+Xzo/72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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c584b7a5f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, norm.pdf(x))\n",
    "plt.plot(x, norm.pdf(x, 1.0, 0.5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Save it to a File"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1c586153b70>]"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Zlf/NIll/nkJb717Rzn4alaecLKviriWbCA91sHjOGDpHtoMhj43VD+Xzo/72\npgxP7sITt45kW/4Z/xoiGZsOXXpruHuJhrtqscqaOu59IYuis1U8d2c7GvLYWM5H0DEOeg6zu5Jm\nTR3Sk19MH8h7O/1oiKSI1Xo/9JlOAewFGu6qRZxOw49e/YJt+Wd44taRDE/uYndJ9qirhZwPrX7j\nkMD4MbpnUtqXQyT/udFPhkj2vRqqyyB3nd2VBJ3A+K5UfuOx9/fy3s7j/GL6QKYO6Wl3OfbJ3wTn\niqH/NLsrcVv9EMnL+sfzyL938uk+P1gsLf0yCI2E7PfsriTouBXuIjJVRLJFJEdE5jfx+ndFZLuI\n7BCRdSIy3POlKru9vPEIz3x2kDvG9+aeSWl2l2Ov7JXWEEg/729vzBoiOYp+PaL5vj/MIhne0Qr4\n7JXWBGzKY5oNdxFxAAuAacAgYJaINF725RBwqTFmKPAbYJGnC1X2+iS7kF/+exdT+sfzq+sGtb8h\nj41lv2fNAhnZ2e5KWqxTRCiL52QQFeHg7iWZnLB7Fsn+0+BMLhTutreOIONOy30skGOMOWiMqQaW\nAdc33MAYs84Yc9r1cAOQ5NkylZ32HCvlgX9upX+PaJ68bRSh7W3IY2Mn98OpHOg/3e5KWq1+FsmS\nczXc80Im5VW19hXTb6p1n73ywtupFnHnpzQRyGvwON/13PncAzTZgSYic0UkS0Syior8oL9PNetE\naSV3L8l0tfbG0CnCrWV3g1t9/3B9KAWoIYkxPHXbSHYfLeUHy7ZSZ9cQyeie0GsUZL9vz/GDlEeb\nYCIyBSvcf9bU68aYRcaYDGNMRnx8vCcPrbzgbGUNdy/JpPRcDYvnjKFnTKTdJfmH7Pegx1Dokmx3\nJW12+YAe/Prbg/lwTyG/ecfGbpH+06Egy7owTHmEO+FeADT8Lk5yPfc1IjIM+AdwvTHmlGfKU3ap\nqq1j3tLNZB8/y1PfHcWgXoHXt+wV5acgb0NAjZJpzuwJqdwzKY0l6w6z6DObpgKo//fcp613T3En\n3DOBviKSJiLhwExgRcMNRCQFeBO4wxizz/NlKl+ypu/dztqcUzx24zCm9O9ud0n+Y997YJxBFe4A\nv5g+kG8NS+B3K/fy5pZ83xfQYzB0SYE9b/v+2EGq2Q5UY0ytiDwArAIcwGJjzC4Rmed6fSHwS6Ab\n8LRrFEWtMSbDe2UrbzHG8Oi7e3h721HmTxvAjaP13PjX7HrLumS+10i7K/GokBDhz7cM53R5NT99\nYztdo8IhjofEAAAVN0lEQVR9+0tdBAbNgA1PQ0WxtVqTahO3+tyNMSuNMf2MMX2MMb91PbfQFewY\nY+41xnQ1xoxw3TTYA9Qznx1k8dpD3HVxavubvrc5FcVw8BMYfIMtC2F7W0Sog2fuGE3/ntH819It\nbM093fybPGnId8BZq613D2nnY9pUQ8s35/OH9/Zy3fBePPItHcv+DXvfscJn8Ay7K/Ga6Mgwltw1\nlu6dI7h7SSYHisp8d/CEEdA1DXa96btjBjENdwXA6r2F/Gz5di6+qBt/vHkYISEa7N+w6y3ommqF\nUBCLj47gxbvH4ggRZj+3ieMlPrrIScRqvR/6DMp0qHRbabgr1h04ybylmxmQEM3C20cTEeqwuyT/\nU34KDn4atF0yjfXuFsWSu8ZypqKaO57byKkyHy30Mfg71gnrPSua31ZdkIZ7O7f5yGnufSGL3t06\n8uLd44huj/Oyu2P3W9aCzoNvsLsSnxmSGMM/7hxDbnEFdzy3iZKKGu8ftMdgiOtn/ZWk2kTDvR3b\nWVDCnOc30T06gqX3jCM2KtzukvzXtmUQPzAg5m73pAl9urFodgY5hWXc+fwmyrw9TYGI1Xo//DmU\nHvPusYKchns7lVN4ltmLN9E5MoyX7xtP98569el5ndwP+ZkwYla76JJp7NJ+8Tx120h2FJRwz5JM\nzlV7eam+YbcABrYv8+5xgpyGezt05FQ5tz27EUeIsPTecSR26WB3Sf5t2ysgITDsVrsrsc3Vg3vy\nl1tHsOlwMXNfyqKq1osB360PpEyArS/rNMBtoOHezhw6Wc7MRRuoqXOy9J5xpMVF2V2Sf3M6Ydur\n1nJw0e14cRLg28N78diNw1iz/yT/tXSLdwN+xHfhlOsvJtUqGu7tyIGiMm59Zj1VtU5evnc8/XtG\n212S/zv8GZTmw/BZdlfiF27JSObRGUP4aG8hc1/cTGWNlwJ+8AwI6whbX/LO/tsBDfd2Yv+Js9z6\nzAacxvDKfeN1IjB3ZT0PkV1gwLfsrsRv3D6+N4/dOJTP9hdxzwuZVFR74SRrRLQ1MmnnW1Bd7vn9\ntwMa7u1A9vGzzFy0ARFYNldb7G47e9y6KnXk7RCm5yUaunVMCn+8aTjrD5xizvOZ3hlFM/IOqD4L\nO97w/L7bAQ33ILc9/wyznt1AqENYNnc8F3XXYHfblhet6QYy7ra7Er904+gknpg5ks1HTnPn4k2U\nVnp4HHzKeOgxBDY9qydWW0HDPYh9vv8ksxZtoGO4g1fnTqBPfCe7SwocdbWweQmkT7FGb6gmfXt4\nL56aNZJteWe4ZeF6z67HKgJj74MTOyB3g+f2205ouAepd7Yf5a4lm0iO7cjy+yeSqqNiWmbfe1Ba\nAGPusbsSvzdtaAKL51hXsn7n6XUc9ORkY0NvhsgY2LTIc/tsJzTcg9BLG47w4CtbGZHchVe/N4Ee\neoFSy6170lo8ol9wLcrhLZf0i2fZ3PFU1tRx08L1fJF3xjM7Do+y+t73rIDSo57ZZzvhVriLyFQR\nyRaRHBGZ38TrA0RkvYhUichPPF+mcofTafj9e3t45F87uWJAd166ZxwxHXSumBbL3QB5G2HCg+DQ\nBcHdNSypC2/cP5GoCAezFm3gk+xCz+x47H1Wn/v6BZ7ZXzvRbLiLiANYAEwDBgGzRGRQo82KgYeA\nP3q8QuWWiupa7n95M898epDvjkth4e2jiQzT2R1bZe1foUMsjPyu3ZUEnLS4KJbfP5G0uCjueSGL\nF9cfbvtOu6bCkButYakVxW3fXzvhTst9LJBjjDlojKkGlgHXN9zAGFNojMkEfDBtnGrsRGkltz6z\ngQ92n+CRawfx6IwhhDq0x61VirIheyWMnWt1CagW6x4dyWvzJjClfzy//Pcu/udfO6ipc7Ztp5N+\nBDXl2vfeAu4kQCKQ1+Bxvus55Qe25Z1hxoK1HCgq49k7MrhnUpquoNQWnz5mXRk59j67KwlonSJC\neeaODL53aTpLN+Qy+7lNnC6vbv0OewyC/tNhw9+h6qznCg1iPm3eichcEckSkayiIl1ppS2MMbyy\nKZebF64nRITX503gykE97C4rsB3fCTuXw7h5EBVndzUBzxEiPDxtIH+6eTibj5zm+gVr2XW0pPU7\nnPzfUHkGNiz0XJFBzJ1wLwCSGzxOcj3XYsaYRcaYDGNMRnx8fGt2oYDKmjp++sZ2Hn5zB+PSY3n7\nwUkM7hVjd1mBb/VvISIGLn7I7kqCyo2jk3hl7niqauu44el1LNuUi2nNRUlJGTDgWuucSPkpzxca\nZNwJ90ygr4ikiUg4MBPQNbBscvhkOTf+fR2vb87nocsvYsldY3WRDU/Iy7T62ic+CB262l1N0Bnd\nuyvvPjSZsamxzH9zB//9+rbWzUlzxS+tvvc1OnajOc2GuzGmFngAWAXsAV4zxuwSkXkiMg9ARHqK\nSD7wY+B/RCRfRHRmKg8yxvBaVh7T/7aGvOIKnrszgx9f3R+HLmTddk4nvD8forrD+Hl2VxO04jpF\n8MLdY/nhlX15a2sBMxasZffR0pbtJL6/NR1w5j/g9GGv1BkspFV/HnlARkaGycrKsuXYgeZMRTUP\nv7mD93YeZ3x6LH++ZQS9dIENz9m6FP79fZix0FptSXndmv1F/Pi1bZypqObHV/Vn7iXp7jdUSo/C\nkxmQNhlmLWt3q2OJyGZjTEZz2+l4OT/3SXYhU59Yw392n2D+tAG8fO94DXZPOncGPvw1JI9r1yst\n+drkvvGs+uElXDWoB4+9v5eZi9aTe6rCvTd37gWXzYd978Ped71baADTcPdTxeXV/HDZVuY8n0lU\nhIO3/uti5l3aR7thPO3DX0P5SZj2fxCiPw6+FBsVzoLbRvGXW4ez99hZpv71M577/BC17oyJH38/\ndB8M7/0Mqjw4l00Q0e9mP2OM4V9bC7jyz5/y7o5jPHRFX1b+YDJDk3Q0jMflfAibn7dOovYaYXc1\n7ZKIcMPIJN7/0SWMS4vlN+/sZsbTa9mR38yQSUcYXPsXa3K3/zzim2IDjPa5+5E9x0r537d3s/7g\nKUYkd+GxG4fpwhrecu40PD0RIjvD3E8hTCdXs5sxhpU7jvPrt3dxqqyKOyem8sMr+114fqQPHoF1\nf4NZr0L/qb4r1kbu9rlruPuBU2VV/PGDfbyamUtMhzB+fFU/bhvXW7tgvMUYeG221V9774eQOMru\nilQDpZU1PP5+Nks3HqFLhzB+cEVfvju+N2FNTalRWwXPXgFnj8H96yA6+C/k03APAOVVtbyw/jB/\n/+QAFdV1zJ7Qmx9e0Y+YjjqTo1d9/gR8+Cu4+lGrS0b5pV1HS/jdyj2szTlFWlwU86cN4OpBPb45\nvUbhHlg0BRKGw51vQ2hwX/eh4e7HKmvqeGn9ERZ+eoBT5dVcPqA7P58+QJfA84Wcj+Dlm2DQ9XDT\n8+1uGF2gMcawOruQ3767hwNF5QxLiuEHV/Tl8gHdvx7yO5fDG3fDqNlw3d+C+v/V3XDXyap96Gxl\nDa9m5rHos4MUnq1i0kVx/OiqfozurVdE+kTBFqs7Jn4gfPupoA6AYCEiXD6gB5f0jWf5lnyeWp3D\nPS9kMSSxMw9d3pcrB/YgJESsKYFP7II1f4LYdGsWyXZOW+4+cPTMOZasO8wrG3M5W1XL+PRYfnRl\nP8ald7O7tPbj5H5YfI01je/dH0DnBLsrUq1QU+fkra0FLFidw5FTFaTHR3HXxWncOCqRjqEh8Oa9\nVit++h+DdmZP7ZaxmdNpWHfgFK9k5rJq53EMMH1oAvdNTmNYUhe7y2tfjm2Hpd+xvr57lS54HQRq\n65y8u+MYz31+iO35JXSODGXW2BRmjU4g9eP7rXmCgjTgNdxtcrykkuVb8lmWmUte8Tm6dAzjplFJ\nzLk4laSuHe0ur/05vBZemQUR0XDHWxDfz+6KlAcZY9iSe5rFnx/m/V3HqXMaLu7dicfNn+hV+Kk1\nTfDljwRVF5z2uftQ4dlK3ttxnHe2HyXz8GkAJqR34ydX9+eawT11uTs7GAMbn4EPfgFd06xg75Lc\n/PtUQBERRveOZXTvWI6XVPLm1nxez8pn8sl7+UNEKDev+RPHD+4g5tZFdOjcvs5tacu9FYwxHCgq\n45PsIj7aU8jGQ6dwGujfI5prhyVw3fBepMbpEm22KSuCd38Me1ZYq/fcsBAi9Qrf9sIYw+Yjp3kj\nK4/uu57lIefLHCWe15Ifod+YK5h8URxdA3iabO2W8bDi8moyDxezZn8Rn2QXkX/6HAB9u3di2tAE\nrhuWQN8eOpTRVk4nbF8Gq34B1WUw5ecw8Qc6Z0w7VlvnZPem/5Dy8YN0rilkae2V/LHuFtISezG5\nbzyX9ItnRHIXwkMD53tEw70NjDHkFZ8j60gxmYdPk3m4mJxCa3KijuEOJvaJY8qAeC7tF6/96P7A\n6YT9H8DHj8KJHZA0xhrq2H2A3ZUpf1F1FufHjyIbn6HK0Ym3Im/g96cvo9QZSURoCMOTujCqd1dG\n9+7KqJQudOsUYXfF56Xh7qbKmjoOnypnz7FSdhaUsutoCbuPllJaaa0SEx0RyujUroxJjWVsWizD\nkmKICNU+dL9w7ow17G3D3+HUfuiSAlf8CgZ/R1vrqmnHtsPq38G+93BGdiE3eQbvhV/DB0Ux7Cwo\noabOysOkrh0YmNCZgQmdGeS6JXXtYI2pt5lHw11EpgJ/BRzAP4wxf2j0urhenw5UAHOMMVsutE9f\nhnt5VS3HSs5x9Ewlh06Wc+hkOQeKyjh0spyCM+eo/yeICA1hQEJnBveybiOTu9K/Z7TO8eJPSo/C\noc9g9wrI+Q/UVUOvkTDhAeuqU4dO3aDckL8Z1j8Je94BZw30GkVNv+lkx0zi85J4dh4tZfexUg6f\nLMfpyofIsBBSu0WRFhdFapx1nxYXRa8uHegeHdH03Dde4LFwFxEHsA+4CsjHWlN1ljFmd4NtpgMP\nYoX7OOCvxphxF9pvW8O9qraOMxU1FJdXf3k7XWHdF56t4tiZcxwrqeTomXNftsLrRYU7SI/vRFpc\nFOnxUaTHd2JAz2jS46II9dF/kHJDZYl11eHxnVZ3y5H1VgsdIDrBaqEPudGa+CuIhropHyorhC/+\naZ18L9hsPdchFlLGQ/JYqmIHcoBEtp2NJqeogsOuxmFucQW1zq+yUwTiO0WQEBNJz5hIEmI60L1z\nBN2iwunaMZzYqK9unSPD2vQXgCfDfQLwa2PMNa7HDwMYY37fYJtngE+MMa+4HmcDlxljjp1vv60N\n9/d3Hucnr2+jrOr8i+vGRoWT4PoH7tXF+sfuFdOBhJhIUuOi6B4d8c3Jh5R31NVCbaXVwq6tdN2q\nobocKk9bXSvnXPcVJ6EkH0ry4EwenCv+aj8dukJiBqRfCmmXQI+h2vWiPKv0mDXHf+4GyF0PxQe+\nei2sI3TpbV3ZHN0LZ3QCZySGE9WRFNVEcLwqgoLKMPIrHBSU1pF/1klxlVBNKLU4gK/yxhEi3H9p\nH35yTf9WlenJce6JQF6Dx/lYrfPmtkkEzhvurTWwfBOrOzyCo6PgCBEcIdY/Voi4HkuDf8ZSAw3X\n3/3GL7JGjy/0erPvbVxpS97bluN66b3feL0FnxfA6Qp148aqOvXCoyEmybr1GgVde1ur7fQcYrXU\n9Rey8qbOCTDqDusGUFEMRdlwMtu6P30Ezh6FE7sJKS8k1jiJBQY2tS8BXEsEGASnIxynhFEnDupw\ncKJsNvD/e/Xj+PQiJhGZC8wFSElJadU+evfqCemNVs35xg+9uPdai1/35HsbvdVnx23Dv0dL3ish\nEBrpuoVb9w7XfWiE1RLq0MVqkUd2sb4O9d8RCqod6hgLvSdYt8bqaq2/OKtKofIMVJZa3YjV5VBX\nZf116rqXuioctVU46moIM3XgrCU9fbTXy3cn3AuAhpf2Jbmea+k2GGMWAYvA6pZpUaX1ksdaN6WU\nsosjFDrFWzc/5U6nZSbQV0TSRCQcmAmsaLTNCmC2WMYDJRfqb1dKKeVdzbbcjTG1IvIAsAprKORi\nY8wuEZnnen0hsBJrpEwO1lDIu7xXslJKqea41edujFmJFeANn1vY4GsDfN+zpSmllGotHUumlFJB\nSMNdKaWCkIa7UkoFIQ13pZQKQhruSikVhGyb8ldEioAjrXx7HHDSg+XYST+Lf9LP4n+C5XNA2z5L\nb2NMs1dP2RbubSEiWe5MnBMI9LP4J/0s/idYPgf45rNot4xSSgUhDXellApCgRrui+wuwIP0s/gn\n/Sz+J1g+B/jgswRkn7tSSqkLC9SWu1JKqQsI2HAXkd+IyHYR2SYiH4tI61b/8AMi8riI7HV9nrdE\npIvdNbWWiNwsIrtExCkiATeyQUSmiki2iOSIyHy762kLEVksIoUistPuWtpCRJJFZLWI7HZ9b/3A\n7ppaS0QiRWSTK7f2iMgfvHasQO2WEZHOxphS19cPAcONMffYXFariMjVwMeu6ZUfAzDG/MzmslpF\nRAYCTuAZ4CfGmNavgu5j7iwGH0hE5BKgDHjRGDPE7npaS0QSgARjzBYRiQY2AzMC8f9FrMWbo4wx\nZSISBnyO9XOyxtPHCtiWe32wu0QBp+yqpa2MMR8YY+pX/N6AtZJVQDLG7DHGZNtdRyuNBXKMMQeN\nMdXAMuB6m2tqNWPMZ0Bxsxv6OWPMMWPMFtfXZ4E9WGs0BxxjKXM9DMNaI+O0N44VsOEOICK/FZE8\nrMVBfm93PR5yN/Ce3UW0U+db6F35CRFJBUYCG+2tpPVExCEiXwCFwCfGGK90m/l1uIvIhyKys4nb\n9QDGmF8YY5KB54G/2FvthTX3WVzb/AKoBV62r9LmufNZlPI0EekELAd+2Ogv94BijKkzxozA+gt9\nsohM8cZx3FqJyS7GmCvd3PRl/Ly129xnEZE5wLXAFcbPT4S04P8l0Li10LvyPVf/9HLgZWPMm3bX\n4wnGmDMi8i6QAaz29P79uuV+ISLSt8HD64Ev7KqlrURkKvBT4NvGmAq762nH3FkMXvmY6yTkc8Ae\nY8yf7a6nLUQkvn40nIh0wDp575XsCuTRMsuB/kAdcBC43xhz3N6qWkdEcoAIvjopvMEYM8/GklpN\nRG4AngTigTPAF8aYa+ytyn0iMh14gq8Wg/+tzSW1moi8AlyGNQPhCeBXxpjnbC2qFURkErAG2IE1\nEgvg5661nQOKiAwDXsBqWIcAS40xj3nlWIEa7koppc4vYLtllFJKnZ+Gu1JKBSENd6WUCkIa7kop\nFYQ03JVSKghpuCulVBDScFdKqSCk4a6UUkHo/wHbwspAMkmINgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c584b7aa58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, norm.pdf(x))\n",
    "plt.plot(x, norm.pdf(x, 1.0, 0.5))\n",
    "# plt.savefig('C:\\\\Users\\\\Dekstop', format='png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Adjust the Axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Im5nc5Fi4G+Om4lXeLjtQXXKms2nI/m1eV2LCzMLdGLccPgi71kfGxdQA25WpybJwN8Yt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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c58643b240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "axes = plt.axes()\n",
    "axes.set_xlim([-5, 5])\n",
    "axes.set_ylim([0, 1.0])\n",
    "axes.set_xticks([-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5])\n",
    "axes.set_yticks([0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])\n",
    "plt.plot(x, norm.pdf(x))\n",
    "plt.plot(x, norm.pdf(x, 1.0, 0.5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Add a Grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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kDlLxh8r63WOOFXfjqcc/Ws+WgiIeunoAjRN9fNYOXxfAjqdF7ZD3XtaPlOQE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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c5849349e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "axes = plt.axes()\n",
    "axes.set_xlim([-5, 5])\n",
    "axes.set_ylim([0, 1.0])\n",
    "axes.set_xticks([-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5])\n",
    "axes.set_yticks([0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])\n",
    "axes.grid()\n",
    "plt.plot(x, norm.pdf(x))\n",
    "plt.plot(x, norm.pdf(x, 1.0, 0.5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Change Line Types and Colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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s07mzhzszUZHMmXsrYKWqrlLVPcA44IL4Bqo6W1V/jG3OAap7G9OkkyVLXBdv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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c584b9e160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "axes = plt.axes()\n",
    "axes.set_xlim([-5, 5])\n",
    "axes.set_ylim([0, 1.0])\n",
    "axes.set_xticks([-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5])\n",
    "axes.set_yticks([0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])\n",
    "axes.grid()\n",
    "plt.plot(x, norm.pdf(x), 'b-')\n",
    "plt.plot(x, norm.pdf(x, 1.0, 0.5), 'r:')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Labeling Axes and Adding a Legend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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LPTZZVSeHvr5XVVupaoqqnqCqn3iZx5QNWVluCYsaNeDhh/1OE+aPP9yEg3bt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\nY3L9P+2DHbE+VNLOAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c584987ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "axes = plt.axes()\n",
    "axes.set_xlim([-5, 5])\n",
    "axes.set_ylim([0, 1.0])\n",
    "axes.set_xticks([-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5])\n",
    "axes.set_yticks([0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0])\n",
    "axes.grid()\n",
    "plt.xlabel('Greebles')\n",
    "plt.ylabel('Probability')\n",
    "plt.plot(x, norm.pdf(x), 'b-')\n",
    "plt.plot(x, norm.pdf(x, 1.0, 0.5), 'r:')\n",
    "plt.legend(['Sneetches', 'Gacks'], loc=4)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## XKCD Style :)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1c585fc7630>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Qm4QLLi3ZhRpEzd2PHJUOP/RugK4NfCu6SwwrlEnAL1iwAO+//z6WLl2Kvn37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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c5862c0128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.xkcd()\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "ax.spines['right'].set_color('none')\n",
    "ax.spines['top'].set_color('none')\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "ax.set_ylim([-30, 10])\n",
    "\n",
    "data = np.ones(100)\n",
    "data[70:] -= np.arange(30)\n",
    "\n",
    "plt.annotate(\n",
    "    'THE DAY I REALIZED\\nI COULD COOK BACON\\nWHENEVER I WANTED',\n",
    "    xy=(70, 1), arrowprops=dict(arrowstyle='->'), xytext=(15, -10))\n",
    "\n",
    "plt.plot(data)\n",
    "\n",
    "plt.xlabel('time')\n",
    "plt.ylabel('my overall health')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Pie Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JkzBp0iS1P7ZEIsG+ffvQr18/tT82iScnLwe3Y27jRtQNhMSHKAvE44THSMlOETueVpNA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\nRMSl/h9hct9NF7Vg9wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c5864970b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Remove XKCD mode:\n",
    "plt.rcdefaults()\n",
    "\n",
    "values = [12, 55, 4, 32, 14]\n",
    "colors = ['r', 'g', 'b', 'c', 'm']\n",
    "explode = [0, 0, 0.2, 0, 0]\n",
    "labels = ['India', 'United States', 'Russia', 'China', 'Europe']\n",
    "plt.pie(values, colors= colors, labels=labels, explode = explode)\n",
    "plt.title('Student Locations')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Bar Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Vyv/cp1AoxFNPPRVPPfXUWQ8FAFwcfNYMAJBGiAAAaYQIAJBGiAAAaYQIAJBGiAAAaYQI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\n0ggRACDN/wPM0lYq9UjIEgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c584ddc400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "values = [12, 55, 4, 32, 14]\n",
    "colors = ['r', 'g', 'b', 'c', 'm']\n",
    "plt.bar(range(0,5), values, color= colors)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Scatter Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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2Jd3f5WsNFLqxiBdQlBDigGz0MpFxKRgt7u9193m+2xcdt0xRNM09JUpdpATTTqvC1t0H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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c584c09048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pylab import randn\n",
    "\n",
    "X = randn(500)\n",
    "Y = randn(500)\n",
    "plt.scatter(X,Y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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12rZtmwKBgGbPnq3KykplZWU5z9He3q7i4mJVVVWpo6ND+fn52rJlizweT9+9KuAaN2HN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\nwBr/D9Cn+OsEeGp0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c586058be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "incomes = np.random.normal(27000, 15000, 10000)\n",
    "plt.hist(incomes, 50)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Box & Whisker Plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Useful for visualizing the spread & skew of data.\n",
    "\n",
    "The red line represents the median of the data, and the box represents the bounds of the 1st and 3rd quartiles.\n",
    "\n",
    "So, half of the data exists within the box.\n",
    "\n",
    "The dotted-line \"whiskers\" indicate the range of the data - except for outliers, which are plotted outside the whiskers. Outliers are 1.5X or more the interquartile range.\n",
    "\n",
    "This example below creates uniformly distributed random numbers between -40 and 60, plus a few outliers above 100 and below -100:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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qyJEjuvbaa3Xw4EFNmzZNW7Zs0bBhw2yeHAAABCKHZVmW3UMMNo/Ho9jYWHV2dnL9DWCY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\nQgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c586175c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "uniformSkewed = np.random.rand(100) * 100 - 40\n",
    "high_outliers = np.random.rand(10) * 50 + 100\n",
    "low_outliers = np.random.rand(10) * -50 - 100\n",
    "data = np.concatenate((uniformSkewed, high_outliers, low_outliers))\n",
    "plt.boxplot(data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## Activity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Try creating a scatter plot representing random data on age vs. time spent watching TV. Label the axes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3bpymT5+ulJQUBQcHu4/37NlTO3bs8OpwAAAAnvI4bg4ePKiHH3641PGoqCh9//33XhkK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\nAKsQNwAAwCr/B+iYxHJQE0ZIAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c5863cf278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "axes = plt.axes()\n",
    "axes.set_xlim(10, 100)\n",
    "axes.set_ylim(3, 7)\n",
    "axes.set_xticks([10, 20, 30, 40, 50, 60, 70, 80, 90, 100])\n",
    "axes.set_yticks([3, 4, 5, 6, 7])\n",
    "axes.grid()\n",
    "plt.ylabel('Time Spent')\n",
    "plt.xlabel('Age')\n",
    "x = np.arange(10, 100)\n",
    "y = [3,4,5,6,7,3,4,3,4]\n",
    "plt.plot(1, 2)\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}