Data Visualization - 1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data Visualization is a presentation of the data in a pictorial format or graphical format."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Excellent Data Visualization Library\n",
    "* Multi-Platform Support\n",
    "* It supports several plots like line, bar, scatter, histogram etc."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic Elements of the plot\n",
    "![](https://matplotlib.org/3.1.1/_images/anatomy.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt \n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = [2,4,6,8,10] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MS5ynQhepp8pqF898tIs/r99Bq+bNeOrac5g6tJuGaYnfUKGL1MPmfceZvSyNbYeLuXxoN+67fDAdNExL/IwKXeQMyipr+OP72/ifT3fTqXVznv9REpcM7uJ0LJFTUqGLnMbGXUeZm5LGnqOlXDcyhnmT42jTQsO0xH95eoOLtsALQAJggZnW2o3eCCbilKLyKh5ZvZV/fLWXXh0iee22UZzXV8O0xP95eoT+FLDGWnuV+2bRkV7IJOKYdVsOc9fyDPKKy7nt/N789pKBRITrsn0JDA0udGNMG+AC4GYAa20lUOmdWCK+dbSkgoVvZ7Fy80EGdmnNszcO55yebZ2OJXJWPDlC7wPkA38zxgwFNgG/stae8EoyER+w1rJy80EWvp1FcXkVv57Qn5+N60d4M122L4HHk+/aZsAw4Blr7bnACWDuyQsZY2YZY1KNMan5+fkerE7Eu3ILy7h1aSq/ev07eraPZNUvz+fXEwaozCVgeXKEvh/Yb6390v35Mk5R6NbaJcASgKSkJOvB+kS8wuWy/OPrvTyyeivVLhcLpgzilrG9aarL9iXANbjQrbWHjDH7jDEDrbXbgIuBLO9FE/G+nCMnmJuSxhfZBYzp04FFM4bQq4OGaUlw8PRdLr8EXnW/wyUbuMXzSCLeV13j4sXPdvP42u2EN23CoulDuGZET122L0HFo0K31n4HJHkpi0ij2HqoiDnL0ti8v5AJgzrz4JVD6BrVwulYIl6nK0UlaFVU1/CX9bv46/qdREWE8fR153JZYrSOyiVoqdAlKH279xhzktPYfriEK8/pxj2Xx9O+ZbjTsUQalQpdgkppZTWPr93Oi5/tpmubFrx4cxLj4zRMS0KDCl2Cxmc7jzA3JY19BWXcMDqGOZPiaK1hWhJCVOgS8ArLqnhk9RZe/3ofsR0ieX3WaEb36eB0LBGfU6FLQFubeYgFb2VwpKSC2y/sw28mDKBFmIZpSWhSoUtAOlJSwX0rM1mVlktc19a8cFMSiT00TEtCmwpdAoq1lre+O8DCt7Morajhd5cM4PYL+2r+iggqdAkgB4+XcdfydNZvy+fcmLYsnpFI/y6tnY4l4jdU6OL3XC7Lq1/tZdHqLbgs3HPZYG46L1bDtEROokIXv5adX8Lc5HS+yingB/068sj0IfRsrxtjiZyKCl38UnWNixc+3c0T728nvFkTFs9I5OqkHrpsX+QMVOjid7IOFjE7eTMZB4r44eAuPHBlAl3aaJiWSF1U6OI3Kqpr+POHO3nmo120jQzjL/9/GJOHdNVRuUg9qdDFL2zaUztMa2deCdOHdefuKYNpp2FaImdFhS6OOlFRzWNrt/HS5zl0i4rgpVtGMG5gZ6djiQQkjwrdGJMDFAM1QLW1Vje7kHr7ZEc+81LS2X+sjB+N6cXsSXG0aq5jDJGG8sbec5G19ogXXkdCRGFpFQ++k8Wbm/bTp2NL3rh9DCN7t3c6lkjA0+GQ+NSajEPcvSKDghOV/HRcX351cX8N0xLxEk8L3QJrjTEWeM5au8QLmSQI5RWXc9/KTFanH2JwdBv+dvMIErpHOR1LJKh4WuhjrbUHjTGdgfeNMVuttRu+v4AxZhYwCyAmJsbD1UmgsdaS8s0B7l+VRVlVDXdOHMisC/oQ1lTDtES8zaNCt9YedP+ZZ4xZDowENpy0zBJgCUBSUpL1ZH0SWPYfK2X+8gw2bM9neK92PDojkX6dWzkdSyRoNbjQjTEtgSbW2mL34x8C93stmQQsl8vyypd7ePTdrVhg4dR4bhzdiyYapiXSqDw5Qu8CLHdfxdcMeM1au8YrqSRg7covYW5yGl/nHOP8/h15eJqGaYn4SoML3VqbDQz1YhYJYFU1LpZsyOapdTuICGvKY1cPZcaw7rpsX8SH9LZF8VjGgULmJKeRebCISxO6svCKeDq31jAtEV9ToUuDlVfV8Kd1O3huQzbtIsN55vphXDok2ulYIiFLhS4NkppTwOzkNLLzT3D18B4smDKYqMgwp2OJhDQVupyVkopq/rBmKy9/sYduURG8PHMkFwzo5HQsEUGFLmfh4+35zE9J52BhGTeNieXOiQNpqWFaIn5De6PU6XhpJQ+s2kLyN/vp26klb94+hqRYDdMS8TcqdDmj1em53LMig+OlVfzion78Ynw/DdMS8VMqdDmlvKJy7lmRyZrMQyR0b8PSmSOJ76ZhWiL+TIUu/8Fay5ub9vPgqizKq13MmRTHbef3ppmGaYn4PRW6/Nu+glLmL0/nkx1HGBnbnkUzhtCnk4ZpiQQKFbpQ47K8vDGHP7y3DQM8cEU814/SMC2RQKNCD3E784qZk5zOpj3HuHBAJx6ePoTubSOcjiUiDaBCD1FVNS6e+3gXf1q3k8jmTXnimqFceY6GaYkEMhV6CErfX8js5DS25BYxJTGahVPj6diqudOxRMRDKvQQUl5Vw5Mf7OD5T7Lp0DKc524czsT4rk7HEhEvUaGHiC+zjzI3JZ3dR05wTVJP5k8ZRFSEhmmJBBOPC90Y0xRIBQ5Yay/zPJJ4U3F5FYvXbOPvX+yhZ/sIXr11FGP7dXQ6log0Am8cof8K2AK08cJriRet35bHXSnp5BaVM3Nsb34/cQCR4fqlTCRYebR3G2N6AFOAh4DfeiWReOzYiUoeWJVFyrcH6N+5Fck/PY9hMe2cjiUijczTw7UngdlA69MtYIyZBcwCiImJ8XB1cibWWt5Jz+XeFZkUllVxx8X9+flFfWneTMO0REJBgwvdGHMZkGet3WSMGXe65ay1S4AlAElJSbah65MzO1xUzoK3Mng/6zCJPaJ45dZRDIrWWTCRUOLJEfpYYKoxZjLQAmhjjHnFWnuDd6JJfVhreSN1Hw++s4XKahfzJ8cxc6yGaYmEogYXurV2HjAPwH2E/nuVuW/tPVrK3JQ0Pt91lFG92/PojERiO7Z0OpaIOERveQhANS7LS5/n8Nh722jaxPDQtASuGxGjYVoiIc4rhW6t/Qj4yBuvJWe2/XAxs5el8d2+44yP68xD0xKIjtIwLRHREXrAqKx28cxHu/jz+h20bhHGU9eew9Sh3TRMS0T+TYUeADbvO86c5DS2Hipm6tBu3Hv5YDpomJaInESF7sfKKmt44oPtvPBJNp1bt+CFHyUxYXAXp2OJiJ9SofupjbuOMi8ljZyjpVw3MoZ5k+No00LDtETk9FTofqaovIpF727ltS/30qtDJK/dNorz+mqYlojUTYXuR9ZtOcxdyzPIKy5n1gV9+M2EAUSE67J9EakfFbofOFpSwcK3s1i5+SADu7Tm2RuHc07Ptk7HEpEAo0J3kLWWlZsPsvDtLIrLq/jNhAH8dFxfwpvpsn0ROXsqdIfkFpaxYHkG67bmMbRnWxbPSGRg19MOrRQRqZMK3cdcLsvrX+/jkdVbqHK5WDBlELeM7U1TXbYvIh5SoftQzpETzE1J44vsAs7r24FHpg+hVwcN0xIR71Ch+0B1jYsXP9vN42u3E960CYumD+GaET112b6IeJUKvZFtPVTEnGVpbN5fyIRBXXjwygS6RrVwOpaIBCEVeiOpqK7hL+t38df1O4mKCOPp687lssRoHZWLSKNRoTeCb/ceY05yGtsPlzDt3O7cfdlg2rcMdzqWiAQ5FboXlVZW8/ja7bz42W66tmnB324ewUVxnZ2OJSIhwpObRLcANgDN3a+zzFp7r7eCBZrPdh5hbkoa+wrKuGF0DHMmxdFaw7RExIc8OUKvAMZba0uMMWHAp8aYd621X3gpW0AoLKvikdVbeP3rffTu2JJ/zhrNqD4dnI4lIiHIk5tEW6DE/WmY+8N6I1SgWJt5iAVvZXCkpILbL6wdptUiTMO0RMQZHp1DN8Y0BTYB/YC/WGu/PMUys4BZADExMZ6szm8cKangvpWZrErLJa5ra164KYnEHhqmJSLO8qjQrbU1wDnGmLbAcmNMgrU246RllgBLAJKSkgL6CN5ay1vfHWDh21mUVtTw+x8O4PYL+xLWVMO0RMR5XnmXi7X2uDHmI2ASkFHH4gHpwPEy7lqezkfb8hkW05bFVyXSr7OGaYmI//DkXS6dgCp3mUcAE4BHvZbMT7hclle/2sui1VtwWbj38sH8aEyshmmJiN/x5Ag9GljqPo/eBHjDWrvKO7H8Q3Z+CXOT0/kqp4Af9OvII9OH0LN9pNOxREROyZN3uaQB53oxi9+ornHxwqe7eeL97TRv1oTFVyVy9fAeumxfRPyarhQ9SdbBImYnbybjQBET47vwwBUJdG6jYVoi4v9U6G7lVTX8+cOdPPvxLtpGhvHX64dxaUJXHZWLSMBQoQOb9hQwe1kau/JPMGNYD+6+bBBtIzVMS0QCS0gX+omKav7w3jaWbsyhW1QES2eO5MIBnZyOJSLSICFb6Bu25zMvJZ0Dx8u4aUwv7pwUR6vmIbs5RCQIhFyDFZZW8cA7WSzbtJ8+nVry5k/GMCK2vdOxREQ8FlKFviYjl7tXZFJwopKfjevLHRf31zAtEQkaIVHoecXl3Lsik3czDjE4ug1/u3kECd2jnI4lIuJVQV3o1lqSvznAA6uyKKuq4c6JA5l1QR8N0xKRoBS0hb6voJT5y9P5ZMcRknq1Y9GMRPp1buV0LBGRRhN0he5yWV7emMPi97YBsHBqPDeO7kUTDdMSkSAXVIW+M6+EuclppO45xgUDOvHwtAR6tNMwLREJDUFR6FU1LpZsyOapD3YQEd6Ux68eyvRh3XXZvoiElIAv9IwDhcxelkZWbhGTh3Rl4dQEOrVu7nQsERGfC9hCL6+q4al1O1iyIZv2LcN59oZhTEqIdjqWiIhjPLljUU/gZaAr4AKWWGuf8lawM/k6p4A5y9LIPnKCq4f3YMGUwURFhvli1SIifsuTI/Rq4HfW2m+MMa2BTcaY9621WV7K9l9KKqpZvGYrL2/cQ492Efz9xyM5v7+GaYmIgGd3LMoFct2Pi40xW4DuQKMU+kfb8rhreQYHC8u4ZWwsv//hQFpqmJaIyL95pRGNMbHU3o7uS2+83snmpaTzj6/20q9zK5b95DyG92rXGKsREQloHhe6MaYVkAz82lpbdIrnZwGzAGJiYhq0jtgOkfxyfD9+Mb4fzZtpmJaIyKkYa23D/2NjwoBVwHvW2j/WtXxSUpJNTU1t8PpEREKRMWaTtTapruUaPKXK1F618z/AlvqUuYiINC5Pxg6OBW4ExhtjvnN/TPZSLhEROUuevMvlU0DX1ouI+AkNBhcRCRIqdBGRIKFCFxEJEip0EZEgoUIXEQkSHl1YdNYrMyYf2NPA/7wjcMSLcbxFuc6Ocp0d5To7wZqrl7W2zkmEPi10TxhjUutzpZSvKdfZUa6zo1xnJ9Rz6ZSLiEiQUKGLiASJQCr0JU4HOA3lOjvKdXaU6+yEdK6AOYcuIiJnFkhH6CIicgZ+V+jGmEnGmG3GmJ3GmLmneL65Meaf7ue/dN8tyR9y3WyMyf/e5MlbfZDpRWNMnjEm4zTPG2PMn9yZ04wxwxo7Uz1zjTPGFH5vW93jo1w9jTHrjTFbjDGZxphfnWIZn2+zeuby+TYzxrQwxnxljNnszrXwFMv4fH+sZy6f74/fW3dTY8y3xphVp3iucbeXtdZvPoCmwC6gDxAObAYGn7TMz4Bn3Y+vBf7pJ7luBv7s4+11ATAMyDjN85OBd6mdijka+NJPco0DVjnw/RUNDHM/bg1sP8Xfo8+3WT1z+XybubdBK/fjMGpvMTn6pGWc2B/rk8vn++P31v1b4LVT/X019vbytyP0kcBOa222tbYSeB244qRlrgCWuh8vAy5232zD6Vw+Z63dABScYZErgJdtrS+AtsaYaD/I5Qhrba619hv342LgXzc2/z6fb7N65vI59zYocX8a5v44+R/dfL4/1jOXI4wxPYApwAunWaRRt5e/FXp3YN/3Pt/Pf39j/3sZa201UAh08INcADPcv6YvM8b0bORM9VHf3E4Y4/6V+V1jTLyvV36GG5s7us3quOG6z7eZ+/TBd0Ae8L619rTby4f7Y31ygTP745PAbMB1mucbdXv5W6Gf6ifVyT9567OMt9VnnW8DsdbaROAD/u+nsJOc2Fb18Q21lzIPBZ4G3vLlys2Zb2zu2DbJmH1iAAAB/klEQVSrI5cj28xaW2OtPQfoAYw0xiSctIgj26seuXy+PxpjLgPyrLWbzrTYKb7mte3lb4W+H/j+T9IewMHTLWOMaQZE0fi/3teZy1p71Fpb4f70eWB4I2eqj/psT5+z1hb961dma+1qIMwY09EX6za1NzZPBl611qacYhFHtllduZzcZu51Hgc+Aiad9JQT+2OduRzaH8cCU40xOdSelh1vjHnlpGUadXv5W6F/DfQ3xvQ2xoRT+48GK09aZiVwk/vxVcCH1v0vDE7mOuk861Rqz4M6bSXwI/c7N0YDhdbaXKdDGWO6/uu8oTFmJLXfh0d9sN763Njc59usPrmc2GbGmE7GmLbuxxHABGDrSYv5fH+sTy4n9kdr7TxrbQ9rbSy1HfGhtfaGkxZr1O3V4HuKNgZrbbUx5hfAe9S+s+RFa22mMeZ+INVau5Lab/y/G2N2UvuT7Vo/yXWHMWYqUO3OdXNj5zLG/IPadz90NMbsB+6l9h+IsNY+C6ym9l0bO4FS4JbGzlTPXFcBPzXGVANlwLU++KEM/3dj83T3+VeA+UDM97I5sc3qk8uJbRYNLDXGNKX2B8gb1tpVTu+P9czl8/3xdHy5vXSlqIhIkPC3Uy4iItJAKnQRkSChQhcRCRIqdBGRIKFCFxEJEip0EZEgoUIXEQkSKnQRkSDxv8RRRwnVy1wrAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Colors**\n",
    "\n",
    "    =============    ===============================\n",
    "    character        color\n",
    "    =============    ===============================\n",
    "    ``'b'``          blue\n",
    "    ``'g'``          green\n",
    "    ``'r'``          red\n",
    "    ``'c'``          cyan\n",
    "    ``'m'``          magenta\n",
    "    ``'y'``          yellow\n",
    "    ``'k'``          black\n",
    "    ``'w'``          white\n",
    "    =============    ==============================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y,color = 'green')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note\n",
    "\n",
    "Additionally supports color names ('green') or hex strings ('#008000')."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Line Styles**\n",
    "\n",
    "    =============    ===============================\n",
    "    character        description\n",
    "    =============    ===============================\n",
    "    ``'-'``          solid line style\n",
    "    ``'--'``         dashed line style\n",
    "    ``'-.'``         dash-dot line style\n",
    "    ``':'``          dotted line style\n",
    "    =============    ===============================\n",
    "    \n",
    "    It also supports string inputs 'solid' | 'dashed', 'dashdot', 'dotted'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y,linestyle = '--')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** linewidth **\n",
    "\n",
    "float value or integer\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y,linewidth = 5.0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Markers**\n",
    "\n",
    "    =============    ===============================\n",
    "    character        description\n",
    "    =============    ===============================\n",
    "    ``'.'``          point marker\n",
    "    ``','``          pixel marker\n",
    "    ``'o'``          circle marker\n",
    "    ``'v'``          triangle_down marker\n",
    "    ``'^'``          triangle_up marker\n",
    "    ``'<'``          triangle_left marker\n",
    "    ``'>'``          triangle_right marker\n",
    "    ``'1'``          tri_down marker\n",
    "    ``'2'``          tri_up marker\n",
    "    ``'3'``          tri_left marker\n",
    "    ``'4'``          tri_right marker\n",
    "    ``'s'``          square marker\n",
    "    ``'p'``          pentagon marker\n",
    "    ``'*'``          star marker\n",
    "    ``'h'``          hexagon1 marker\n",
    "    ``'H'``          hexagon2 marker\n",
    "    ``'+'``          plus marker\n",
    "    ``'x'``          x marker\n",
    "    ``'D'``          diamond marker\n",
    "    ``'d'``          thin_diamond marker\n",
    "    ``'|'``          vline marker\n",
    "    ``'_'``          hline marker\n",
    "=============    ==============================="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y,marker= 'o')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** markerfacecolor **\n",
    "\n",
    "any matplotlib color "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y,marker= 'o',markerfacecolor = 'r')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Title **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y)\n",
    "plt.title('line')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** xlabel , ylabel **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y)\n",
    "plt.xlabel('x-label')\n",
    "plt.ylabel('y-label')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Legend **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1st way\n",
    "plt.plot(y)\n",
    "plt.legend(['y-value'],loc =0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#2nd way\n",
    "plt.plot(y,label = 'y-value')\n",
    "plt.legend(loc =7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Legend location settings **\n",
    "\n",
    "        ==========   =============\n",
    "        Location String   Location Code\n",
    "        ===============   =============\n",
    "        'best'            0\n",
    "        'upper right'     1\n",
    "        'upper left'      2\n",
    "        'lower left'      3\n",
    "        'lower right'     4\n",
    "        'right'           5\n",
    "        'center left'     6\n",
    "        'center right'    7\n",
    "        'lower center'    8\n",
    "        'upper center'    9\n",
    "        'center'          10\n",
    "        ===============   ============="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Grid **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y)\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Grid also supports color , linestyle , linewidth , etc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** xlim ,ylim **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y)\n",
    "plt.xlim(0,3)\n",
    "plt.ylim(2,7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** xticks , yticks **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(y)\n",
    "plt.xticks((1,2,3,4,5))\n",
    "plt.yticks((2,4,6,8,10))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Sub Plots **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# subplot (row,col,fig_num)\n",
    "plt.subplot(1,2,1)\n",
    "plt.plot(y)\n",
    "plt.subplot(1,2,2)\n",
    "plt.plot(y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Styles **\n",
    "\n",
    "Matplotlib provides more and more style sheets and we can create our own style sheet also."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['bmh',\n",
       " 'classic',\n",
       " 'dark_background',\n",
       " 'fast',\n",
       " 'fivethirtyeight',\n",
       " 'ggplot',\n",
       " 'grayscale',\n",
       " 'seaborn-bright',\n",
       " 'seaborn-colorblind',\n",
       " 'seaborn-dark-palette',\n",
       " 'seaborn-dark',\n",
       " 'seaborn-darkgrid',\n",
       " 'seaborn-deep',\n",
       " 'seaborn-muted',\n",
       " 'seaborn-notebook',\n",
       " 'seaborn-paper',\n",
       " 'seaborn-pastel',\n",
       " 'seaborn-poster',\n",
       " 'seaborn-talk',\n",
       " 'seaborn-ticks',\n",
       " 'seaborn-white',\n",
       " 'seaborn-whitegrid',\n",
       " 'seaborn',\n",
       " 'Solarize_Light2',\n",
       " 'tableau-colorblind10',\n",
       " '_classic_test']"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matplotlib.style.available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('ggplot')\n",
    "plt.plot(y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('dark_background')\n",
    "plt.plot(y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Annotating a plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = np.arange(0.0, 5.0, 0.01)\n",
    "s = np.cos(2*np.pi*t)\n",
    "plt.plot(t, s)\n",
    "\n",
    "plt.annotate('local max', xy=(2, 1), xytext=(3, 1.5),\n",
    "            arrowprops=dict(facecolor='black'),\n",
    "            )\n",
    "plt.ylim(-2,2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Different Plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Line Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# x-axis values \n",
    "x = [1,2,3,4,5] \n",
    "  \n",
    "# Y-axis values \n",
    "y = [2,4,6,8,10] \n",
    "  \n",
    "# Function to plot \n",
    "plt.plot(x,y) \n",
    "  \n",
    "# function to show the plot \n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bar plot "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# x-axis values \n",
    "x = [5, 2, 9, 4, 7] \n",
    "  \n",
    "# Y-axis values \n",
    "y = [10, 5, 8, 4, 2] \n",
    "  \n",
    "# Function to plot the bar \n",
    "plt.bar(x,y) \n",
    "\n",
    "#labels = ['a','b','c','d','e']\n",
    "#plt.text()\n",
    "# function to show the plot \n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Y-axis values \n",
    "y = [21,22,23,4,5,6,77,8,9,10,31,32,33,34,35,36,37,18,49,50,100] \n",
    "  \n",
    "# Function to plot histogram \n",
    "plt.hist(y,bins = 5) \n",
    "  \n",
    "# Function to show the plot \n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatter Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# x-axis values \n",
    "x = [5, 2, 9, 4, 7] \n",
    "  \n",
    "# Y-axis values \n",
    "y = [10, 5, 8, 4, 2] \n",
    "  \n",
    "# Function to plot scatter \n",
    "plt.scatter(x, y) \n",
    "  \n",
    "# function to show the plot \n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Area plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.collections.PolyCollection at 0x1d279295b38>,\n",
       " <matplotlib.collections.PolyCollection at 0x1d279295dd8>,\n",
       " <matplotlib.collections.PolyCollection at 0x1d27927c0b8>]"
      ]
     },
     "execution_count": 234,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = [1, 2, 3, 4, 5]\n",
    "y1 = [1, 1, 2, 3, 5]\n",
    "y2 = [0, 4, 2, 6, 8]\n",
    "y3 = [1, 3, 5, 7, 9]\n",
    "plt.stackplot(x,y1,y2,y3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pie Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'\n",
    "sizes = [15, 30, 45, 10]\n",
    "explode = (0, 0.4, 0, 0) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig1, ax1 = plt.subplots()\n",
    "ax1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',\n",
    "        shadow=True, startangle=90)\n",
    "ax1.axis('equal')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Contour "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "xlist = np.linspace(-3.0, 3.0, 100)\n",
    "ylist = np.linspace(-3.0, 3.0, 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-3.        , -2.93939394, -2.87878788, -2.81818182, -2.75757576])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xlist[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-3.        , -2.93939394, -2.87878788, -2.81818182, -2.75757576])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ylist[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "X, Y = np.meshgrid(xlist, ylist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((100, 100), (100, 100))"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape,Y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-3.        , -2.93939394, -2.87878788, ...,  2.87878788,\n",
       "         2.93939394,  3.        ],\n",
       "       [-3.        , -2.93939394, -2.87878788, ...,  2.87878788,\n",
       "         2.93939394,  3.        ],\n",
       "       [-3.        , -2.93939394, -2.87878788, ...,  2.87878788,\n",
       "         2.93939394,  3.        ],\n",
       "       ...,\n",
       "       [-3.        , -2.93939394, -2.87878788, ...,  2.87878788,\n",
       "         2.93939394,  3.        ],\n",
       "       [-3.        , -2.93939394, -2.87878788, ...,  2.87878788,\n",
       "         2.93939394,  3.        ],\n",
       "       [-3.        , -2.93939394, -2.87878788, ...,  2.87878788,\n",
       "         2.93939394,  3.        ]])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-3.        , -3.        , -3.        , ..., -3.        ,\n",
       "        -3.        , -3.        ],\n",
       "       [-2.93939394, -2.93939394, -2.93939394, ..., -2.93939394,\n",
       "        -2.93939394, -2.93939394],\n",
       "       [-2.87878788, -2.87878788, -2.87878788, ..., -2.87878788,\n",
       "        -2.87878788, -2.87878788],\n",
       "       ...,\n",
       "       [ 2.87878788,  2.87878788,  2.87878788, ...,  2.87878788,\n",
       "         2.87878788,  2.87878788],\n",
       "       [ 2.93939394,  2.93939394,  2.93939394, ...,  2.93939394,\n",
       "         2.93939394,  2.93939394],\n",
       "       [ 3.        ,  3.        ,  3.        , ...,  3.        ,\n",
       "         3.        ,  3.        ]])"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[4.24264069, 4.20000437, 4.15781429, ..., 4.15781429, 4.20000437,\n",
       "        4.24264069],\n",
       "       [4.20000437, 4.15693077, 4.11429901, ..., 4.11429901, 4.15693077,\n",
       "        4.20000437],\n",
       "       [4.15781429, 4.11429901, 4.07122086, ..., 4.07122086, 4.11429901,\n",
       "        4.15781429],\n",
       "       ...,\n",
       "       [4.15781429, 4.11429901, 4.07122086, ..., 4.07122086, 4.11429901,\n",
       "        4.15781429],\n",
       "       [4.20000437, 4.15693077, 4.11429901, ..., 4.11429901, 4.15693077,\n",
       "        4.20000437],\n",
       "       [4.24264069, 4.20000437, 4.15781429, ..., 4.15781429, 4.20000437,\n",
       "        4.24264069]])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Z = np.sqrt(X ** 2 + Y ** 2 )\n",
    "Z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100, 100)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Z.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "levels = [0.0, 0.2, 0.5, 0.9, 1.5, 2.5, 3.5]\n",
    "contour = plt.contour(X, Y, Z)\n",
    "plt.clabel(contour)\n",
    "contour_filled = plt.contourf(X, Y, Z, levels)\n",
    "plt.colorbar(contour_filled)\n",
    "plt.title('Plot from level list')\n",
    "plt.xlabel('x (cm)')\n",
    "plt.ylabel('y (cm)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-3.        , -2.93939394, -2.87878788, -2.81818182, -2.75757576,\n",
       "       -2.6969697 , -2.63636364, -2.57575758, -2.51515152, -2.45454545])"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X[0][:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.03030303, 0.03030303, 0.03030303, 0.03030303, 0.03030303,\n",
       "       0.03030303, 0.03030303, 0.03030303, 0.03030303, 0.03030303])"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y[50][:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([3.00015304, 2.93955014, 2.87894736, 2.81834473, 2.75774225,\n",
       "       2.69713993, 2.63653779, 2.57593582, 2.51533406, 2.4547325 ,\n",
       "       2.39413118, 2.3335301 , 2.27292928, 2.21232876, 2.15172854,\n",
       "       2.09112867, 2.03052916, 1.96993006, 1.90933139, 1.84873322,\n",
       "       1.78813557, 1.72753852, 1.66694213, 1.60634646, 1.54575161,\n",
       "       1.48515767, 1.42456476, 1.36397302, 1.30338262, 1.24279374,\n",
       "       1.18220662, 1.12162155, 1.06103887, 1.00045903, 0.93988257,\n",
       "       0.87931019, 0.81874279, 0.75818158, 0.69762815, 0.63708473,\n",
       "       0.57655447, 0.51604201, 0.45555444, 0.39510318, 0.33470791,\n",
       "       0.27440561, 0.21427478, 0.15451574, 0.0958266 , 0.04285496,\n",
       "       0.04285496, 0.0958266 , 0.15451574, 0.21427478, 0.27440561,\n",
       "       0.33470791, 0.39510318, 0.45555444, 0.51604201, 0.57655447,\n",
       "       0.63708473, 0.69762815, 0.75818158, 0.81874279, 0.87931019,\n",
       "       0.93988257, 1.00045903, 1.06103887, 1.12162155, 1.18220662,\n",
       "       1.24279374, 1.30338262, 1.36397302, 1.42456476, 1.48515767,\n",
       "       1.54575161, 1.60634646, 1.66694213, 1.72753852, 1.78813557,\n",
       "       1.84873322, 1.90933139, 1.96993006, 2.03052916, 2.09112867,\n",
       "       2.15172854, 2.21232876, 2.27292928, 2.3335301 , 2.39413118,\n",
       "       2.4547325 , 2.51533406, 2.57593582, 2.63653779, 2.69713993,\n",
       "       2.75774225, 2.81834473, 2.87894736, 2.93955014, 3.00015304])"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Z[50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}