15_FacetGrid_Seaborn.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### FacetGrid in Seaborn\n",
    "\n",
    "It is a single graph in multiple one graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\Mahzaib Khalid\\anaconda3\\lib\\site-packages\\scipy\\__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.1\n",
      "  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=sns.load_dataset(\"Tips\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 216x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg=sns.FacetGrid(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 216x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg.map(plt.scatter,\"total_bill\",\"tip\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To draw multiple plots in a graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x201bbb08f70>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bonLP4aywweEoSC6gmY2U2hvP+S9MxJ+wzUT8dO6bk5OzdqcioGkVBx0EijVN2ulYCZuU2+U97u9UX49ZS3p8fbsAXiNNKdsafN6UbZDb4y/Xx3w+r7odA5QxpsUY87Yx5tPGmHfiHgey3gqVHw5nheMi9rsnF9DMxpySucfPpazlCiJdVRgDka4qOgKXEDo0NSdn7U5FQNMqDjoIFGtBU6djxSuS9v5rtu5l+u9Hs6D1izQwBoNA5USYt6LXBAm7wB5gdMp+40LhlG2Qm+OvZe1a3pw5i4dvC/LTn4aYvjPxtbP1mvm86i7EchuqUBzOFhcc/0lKvaUJm50KaF48dTwvLp7JW0vn8uLimX36R3bThz5D5F83ceTvS5n11gw2dPySXUM+wzPyVcfVSftqwRkL0n5vg1U2/qb55nTl9+kPTkzrijC+yvkTkRmc07GcU8IPs+b8dWmlmNsF9vozF6X0rwWH2iiVxBGDXBx/LWvXErh5CaH6egQYcwi+/HvTHaSy+Zr5vOpOq5q5GiBsqjEzawlzp8yHXefkLdMo9g9wW91KFgXvpVy6AChvD6Sd4puu2HvQLL6BpacJstPeM7LXDLNsZC+mzn+aCZNGJPSvubOWQB6y+BrvWobpSLzvVBqCKzcYdp1dndXXzOfkZDEOY7ZuMm3aNLN58+ZCN0Nl212TrUzCZJUT4YbX8t+e/LIfi+qF9oXsOG5xXerkTqw/yltLi+/k5fWTTwG7/+UinPx6USy3Z9sf9ApKFU4fU3yV6i+7Kuex7f1ViAm8vupqQvX1ttuLmd6DUoXTxxRfpforV/dRklfwjc0Riq2ymytjb7geKU281yqlpYy94fqcvm6uaYBShdPHFF+l+iuW5FBVdjSBodTf/3+H+ZwjFK9y3jyqv3crvpoaEMFXU0P1926lct68nL5urukQXwG0rF1L413LCAUC+KqrGXvD9UV/IPWJQ9JGthIk1CCTYdHX8bufoi5yB9VDmqg3o7mjYz43rrbmXPR1SK6QlTkq580bcP9HNEDlWSwdNJZxE6qvJ3CzdcXgdHC5pZZcTtqRtIS2Un2SadHXHauYvOVmysSq/DBBmljqvxeCcOe6kj4HqFze2xqMdIgvz+zSQU1HB413LbPdP1ZXK9AawGC662rV7arLQ2vd1w6lbPVU9NVh/+SyROXSxSLfqn5d7RRrZQ630gCVZ6FAIKPtjnW1NnwLaqusVO0sT27NqB1a007lwo5V1rHd0zEev4/ddAXIOFO0Rvb362qnWCtzuFXBhvhExAtsBvYaYy4sVDuc9DtV1GE8PNN0UMe6Wh4Ak9H6NTF9eW9a007lSt2uOm77y49p6WokEqzig4ffx8rW37Ou1MPyCdUEfODZciuRrd+juiI66fRIK3V/XMjy4eU0jJjAuFCYBQebmdvalvDcbWXj+OjSZ1OP9coJtkEtwCgWzjmRDffdin/lKqpawjRXegleO5/zr04veSdXCxgOxvWnCnkPagHWWlPDC9gGW/0uJ9/DePjYG65PuAcFPaeDjqsYR6A19eoqocZXGuvX9Pe9ObZDa9qpfqjbVcfNG28haDpBwFPSzI4RL7PUV8oTw4bS4bEGeWLlImNDy1tb23lixNHvB/w+akePBOgOUl0yhCWtl7K3y+qHCcf6rCWJfRRoZwj1Zy6iast9VC17iCHRIuQjW8J0LnuIDZB2kMq2wbqwZEGG+ERkAjAXuLcQr9+bfqeK9jAenmk6qG0tuUiEBQebE3dMc3JrX9+b1rRTubB8y3IrOMXp9AiPDB/WHXySdYQ7eGQIKd/v8HhYPqKKiBH2REazsPNqHu06N2Gf7mN9ynyrKGzlRIgWiS275CecddGX8a9c1R2cYoYEwb8y90PpTgqVvl5ohbqCWoa1fOowpx1E5FrgWoBjjz02P62K6neqaC/j3pmkg6bUkgtHWLD/QMpQRrqTW/v63rSmXeEUsi/kmtMQsUOB/V6/3+Dzcnznb3v82e5j3SGDtKrFvgK50/Z8KNaFJfsr7wFKRC4EGo0xr4jI+U77GWNWAivBqj+Wn9ZZ+p0q6jC+3dcKCXOPn3s0EMSGD+OlObl1zda9eERs18xJ570ltEPlTSH7Qq4N94+hJdiYst1Dz0HKIx4iNtX0SkLlvb5mb8d6c6WXkTbBqLnSfm2nfBis6euFGOKbDlwkIm8DDwMzReQ3BWiHo36niuayQoLN0EQ669fExrDtgpOmwapCWLN1Lwd2z7JdwHLGIT+lEfsQVeot5bIT56csY+GJeGluvChhW3IF0nSO9eC18+lMfGo6/db2bFuzdS/Tlz7LcYvrmL70WceSSIM1fb2g1cyjV1Df7C2LrxAVnHOVxVcIa7bu5RurttsGJ68I/z3/tAF9o9WlBn018+lLn2Vvczu+4VsZMmYd4m/GBKsI7pvD34P/zdPlpSwfUUXA5+2+oqoOh1nw4R8x9/i5CRPHh/vHcGD3LNoOntb9/GV+L5eeOZ4//30f9c3tXDV0E4v8v6O8vaHXPtmfLL50JSc+xNrslJY+wLP4bPuDBqgBzq4TxCvW5QUGgEEfoHpc8qL0StufMcDxHQ/a/oPu8R94cmYtWKMaaYw+5EosQCcbX1XGi4tnFqBFBeW+5TaMMRuADYVsQzZlWmNvzda91D65kyP+Td1nkBIeQce7sxnrOdfxDMm2I3pftL1is8v+iTfQx7CVe/V4X6XTCyb1uA0bT0KV8JjaJ3fS3G6l3o0o93NrxR6O/cYPeD3WF08KUDk2NbO2YfW3+Ut4ekGuROzee0/b88VNV2paiy9LMq2xt2brXhY+sh0zdAul1asRTzSv1XeQIdWreTcAN662VppNPktMng+x8fF7uNB/L75YpYe4eVf1zRWObR4MY9gqx/oxlL1wzondx3L8MJ+UjKWuZA5zX/t9wv7GwG/DR68s2oNhvrt2J0c6QgQjR6/FTnvjL4zc9iihsNWnQvX1BN6NwFllVE5K/Oc/1jQlzifK49C81yFhySt9urjOCrfNt9JSR1mSaY29O9e9QTBirE7pSZx0IZ4gQ8ass53nYHdFdD0PHw1OMdF5V05XSF4RLcGi+ic2bNaym4SqJmmW3oqVBRozbiel1avxlDQjAi3BRmo7/o+6yR8HsRIDQsbDr8If4ZbQv3f//EWejawNfYU3/J9mY8nXucizEYAv/O1pSsOJfcqEPTTuSJ3VUm9GHe1n/Xw/mbILTj1tzwe3zbfSAJUlmdbYi81fEH+z7ffF30zFe5fSGHnJ9ufi1UgTAC1vl/Hmk2N5/eFq3nxyLC3bmxyzfzQxQvVbpgVabVw8dTwjJvwx5SStI9zB8uZtMLwGLvk5Hyp7LCU4LfXfywRPEx6BCR6rGvlFno2MaW+2fa1QW2I/aDMl3BGyro7qm9uz8n4yMd7h5NFpez64bb6VBqgscaqlZ7e9blcdw064naEnLcbpXrlEy76UVq9OqBhud0VUb0bT8nYZgZcrCbX5ACHU5iOweQQf3rNFi1eq3MiwEKtTSrVjnUeft/sqZtkpb1Lm93KRZyMbS77Ocv89lEtXwv6xauT7yqpsn+9wWTl7IqO7K00sDl7Dk5EZQLRfZfh+epJO+rgbU8edRlwKda9aA1SWpLvkcmzZCuM7iAiIGHq8ovcEEyqG2x3Uy7iCxh3DMeHEP6cJWUOPF08dz4uLZ/LW0rm8uHhmanBKp3K0UsmcJp7bbLdbCn3j4/fQdvtJjAsGU5+DuHqTwXbO+ufd/Oqsd7i95D4meJpwuk1TI/u5/5SP0eFNnMjU4fVzzykXM6NrBcd3/pYZXSu6g1N3UHB4P21lmdWbtHuvCx/ZztRb1ycELDdWPndb0NQkiSyJJUL0lsVnt2yFCHiMIYLYXlDFn2HGDt74LJsZc75K6JHVtu1yGmLslulCb7GfcckcL1VANgVXkyekxzLCkjPTLvJs5Fa5l/L2LhYcLKd29MiE2nop9SZbdnPWP++GpDWcktWbUWw/8RwOnDOJYx9/gFAgQFN5FfeddAEbJp6Zsv/4+Cw17xJCT1yXcD+3zZSwpPVSZkQDSjrs7uMEI4aDbVYgTk48cNNoht3/l0Jm8RV0HlS6innux5qte9lWt5LPv/kg4Vehq82HEfAYaBoOD54vvPgBL2IMx4TCNPhTzxkqI4aN7/QcDN6cOct+GY+aGk549k/ODbxrskNZpolww2up2104n6RIDYx5UD2crKzZupeNj9/D9TxMjUSXVQ/N58nIDF4t+SLDPEeDTV1FOctHVNHg89ounRExUDe0nLtt9tkQqMS/tYKqQ9Bc6SF47eWcf/WS7om8gdYGTLCSjsY5hA5NBZwnxNZ+/xau6foNNbKfejOq+x7Vt0seYRxNtDTW0LhjOKH9hxxPQp3mdyXLeL5T/O+6bIS1rf1gwu/dTSniGXLfRN10ua5TpinWQRf9634OvDw0ZQgOoMMHP/u4sOv9hgUHm7lp9CjCnsS/ld8Yvrdvv9VhHYJBcpo7WEOMDdd9kh9WbnQu8FpbBU7TJWubUzdnGtCUk4ERoHpQ+/1bWBRMvFfUZkrYHDmB8zw7HYfpDKm/nLoK+6usr73SzukbhjAkdHTfTj9s++K5/HTsjsTRioifjsAlPc4xTA4usWSMcunqvs8b34+ltDRlNQKnCbjJMpokb3diGM9fxsunfpfPv/yetCtTuIzt0aD3oHLoznVvcD0P07Kj3DY4AZSG4DMbTPfZ4DCTWn8sKMLyEVXRL2yyinasovL/bqT69AC+oYBYV04N132ShUPW9rxMewb3EYCs3khWA9s1Xb+xTWToKThZNSZTLR9RZbu8xvGbEoMTWEtjHP/wSylD6XiCHPf+5+3vw0YlJwMs8q3qfg+NO4al3ue1mUpidx8nndfqkV2GYbxgOxO33OmqFPFs0ACVQ/XN7dRIU0p6a7JRh0z3cEaLwxo4DT4vdRXlzJ5Qw5QRMPvR2VagiZu7UTmpnRMurOfkzx7khGVf5oeVG3tfpj3TwraZBjQ1aNV49mf+Q7OWsDcyOmVzg8++D406ZP80Ttt7WwE6ObjEpnBAapp69/ak+7zJyQ9VZX783sSInHHiQRongGNNk+32Yl6SQ5MksiS+cGVsKK2mqoz6ttH4ysPR9G97/vKjZz1jQxHetTn7qoxEEoY4Aq0BajfeDIe7mOswd6NhpEOwi++ksaHCdJMe0rgxrhQ7VlnZP3a3EJyunsTDd5s6eerYUXT6yhLuMzndn90/HMbYBKP9Dut097YCdHKSQKOMYRz7ABz7sd1UkuTkh37fG3JawidOo6QGdijucmYaoLIgljoeu1qJDaVdePbXWbbhChZNcb4HJd4IY6ccBqDL+Bi570waxu1MmLhYGolgDHR4k4Y4TJDlQ8LYjmK37GHcxLPTW6bdYeE2W5kGNDX4RK/qPTbD1SFvKb5jPwhvPZfyvV8c+2EeeecuxB8EpHsZ9/1mGCP2TSOQ0i8Mu87uZLjNPahdV5xLqTfxHlS6K0AnBJcdrd0nZGOnHLa9B5U8laTX5+wLuxPDeP4ydp+6kLKXvSn3oIq5nJkO8fUinQl3dqnjHeEOnmm4nxmf/Cr3vO8aSqZF8JWHAAPRJAjf6EqqP+Rl+KQOGhjDwuC17JUvctl7bqC6ohpBqPZXUtsmHPI6D/3ZqpyQu2Xap8y3EiJqm62PGpxUPKf7JeLF94m74aonYdrV3WWMEC9Mu5plkabUihIeDytGVrGp5Qo8+y+j0j/W6hcV1dQe90m+8N5ymqe3cWC4tRzHgUovzdd/mi/8133Unlt7tB9VVFN7bm3mC27Grb9WOamD6g958Y2uBBF8NTUpCRI5k7wOXNlI6xG3JtxZF33ZdfOq+kuz+HqQznotdbvqWPzCYtufNwa+f9ofsnKAzL73ZAI2QxzVwRDr3z3omPZtN/Soq+K6wsDN4ss0MzRq8v2n2iZPiDHsOKP/V+n9GWbTfpRz7ltuw+3sJtx9cNcmRl1zK6+3NRMcU8m6c9vhZPufN8Eq7lz3Rkon2HD7Vfgf22TN2xgOwUvP5vxvPdBjWxZ0eqn1RlInM7aGrGDkMOSmy7Tb0InGORFbPuapyCgmeI7esI+f48R9/8alx32JW2Z+LuXnJTwCfAdTto8LheHx/7C+6OPfqT9Vup2G8AHtWzmmQ3w9SM5+OX/3KyzY9iijWw+CMfgbm/niU51M35m6bk1pJMIHmialPMeG26+i6tebGHnI+uWPPARVv97Ehtuv6rEtc89bQu3+FqqDIcQYqoMhapsOMPdQs7WDDrmlJ88VqweL2PIxze1B7gjNp82UAEfnLwX8PowIxneQR965i+8+++uU55CDH0tZ5r27ooQJ9+vv1J8q3U5D+AnZsConNED1IDn7xa6Mf2kIrtyQNJxhDLVNB/hx+0spz+F/bFPqvI2Qtb1HU+YzN+xn/Z56dry9m/V76q3U9HBXzqotD0h5rlg90NXtqmP2o7O5efsFlBx3G77hW3kyMoPFwWvYExltO39JPEEee+vnKc91uGkK1+0Lpp6ExSpKBNutK6k+BKn+VOl2LGbbS8q66j8NUD1InhPhVMY/ec5FdSjM3NY2amR/SgZNlcP8DKftCdpThz8AnSSbCZ1onDWxoa9AawDiqu/HgtSMrhXU++zvIkS8qcdyTVUZm5sv5andjYknYfH6eCXVnyrdTqnpvaWsq/7Te1A9SJ4TcaBihDW8lyR+zkV8kctgSSUXb5gDT0TvdZwwm4PD7ScRHnSYt5HAaS6ETpJNn/4OsyZ+6Gv6zjBXbjCMOhSiadhD/PL9ETZMPBMTrEJKmlN+1hMekXIvcNkp1/H5lz/EYfMrRskR5xeOXfH2UnsuPrFh+LFjKJdZtB08rftp0k3BXnDGgoR7UJClbFjVKw1QvYifv9AyPZJS7y5S4uXp88KIMYlFLj1ehoRboaXZ2rFlN2y+j9Xn1fC5ddbQYEyHD1Z/eAgzemuMTpLtP/0dZk1siGv6zjBf/r3pPqbHHo6wYNujALxUOYeScasT0sdNxM+Xhk9LqaJ/1qu38KuzvsuILa29v3jLnh4TH/yV2xKCSkuwkdLq1VQM8dHU8IGMsvhiiRCaxZd/mmaeoZa1axOX1DgpQOXY1LlRVtZk6u92yqSJnPu3SPRs07r6evB84aUP+Nhx1Y7eG6AZaP3njt9h0aeZz350NoHWAD/9aci2msO+8hEcuO8Rth98lsfe+jkR70HKw2UsPnKYSw6mVt4Hjtbi66VqApUTmd65wrYo6/iqMiret9R2knp1RTXrP7W+t7dmq4grhRcDd1QzF5GJwK+AcVhz61YaY3pMhylUp2xZu5Z37vwhvsZmmobD0zOg4kQvzw+roiF4iOElw5H2AzQn3QR+b1cXbR4vAZ8XD9abrI5eXS0fUWU/n6kfHScr3PFPezBxVYBKnuczfeTnWL9pfMo/46P7BaiMGI5g+M3tEdub2RHgysXe7uP/6gMdfLL1EM8MLbH6QdIk83Pa21n5bhObz7iDqduXJKzLFK+dITwSOo+Znm0py3iA9YsddvJi+5lYxrD9bSv4HYgM5e6Sazh97rW9BhqnOZG/OusdPvD6XZS2N1AfGcW9JZ9N6/lUCtfMgwoB3zDGbBGRYcArIvKMMeZvBWiLo5a1a9nznZvwd1pDE2MOwfz18DNvhMDkFmufrhbwplZy+GdJCbEZh7Gk2VjZlk8cPsITw4YmZDaZiJ/pI1PnheRNXxYtVAOG3TyfwF/u5Id/9jO6tY19ZVU8+Le5bP/Ce3iqfkX3fs0ewW/gwHAY7VAPLxLtBwG/jx+NKefN0kjK8R/zl7IyrjlmNMM3vcODXM03PL+jRvZz0FQgIoyQI9SbUfwxfDqXeZ/vrjI+QZpY6r8XgvBkZAZXDd3ES6FwSgAEa05V7D/hKM8RbgzezU2Ph4Cv9hhU7NLUPxp+jslb7qWMaDs8TSwK3sOSNJ5PpSfvWXzGmIAxZkv088PA64Dr/pKNdy3D02mTUv5cGlecDmsJdHg8PF9eTm3Tge5U2iHBMjoCl7B+UwF/BZp6Paglz/OZvjPMl/8QZGxrGx7gmPZmvvLKKhrq7k6ZDxQU4fczrJqS8Tp81tB1wjaPh0eGD7MNTgCIsKmsjG94fsfjoendy7Of2bWSMzp/xvs6H2R65wpmebbZLuOxyLeKMr+XRf7fseDAQec5VXGGSJjrebjX+VB26eiLfKu6g1N8O9J5PpWegqaZi8gkYCrwV5vvXSsim0Vk8759+/LeNqel0p3K+KerweflY0fa+cW/ujj/H/No+r9bCB2aWtiS+Jp67Wq57gvJ83mu3GASkngASsNBPv3CYdufr5vipfqsFnzlISLAvuHWIpwvfiD1Cia1fGyqGrFfpiMcvR0RvwRGws959nPbJadS3t7A3Na2hBPBlDlVSa/XW/+zS0d3bEcaz6fSU7AsPhEZCjwGXG+MSfm3b4xZCawEa9w9z80jOKYSf2NzynanMv5pC4/k+M7bUzYXtCS+pl67Wq77wriKcQkJBZmusTQuFKZyUjuVk9qZPaHG9h5rTOyebE/qzSgu8mxkkW9Vwj2mOnMeYWOoN6OZYBMcPJUTrGG1DdbxPLe1zTYg2b1eb/1v4ZwTU+5BBRjNeFLbkc7zqfQU5ApKRPxYwem3xpjVhWhDbx76Nw8dSf2swwcPfqhP97YBa+7Epcd9KWW1zYKXxM900UI1oCRXvXc6CbPbnjxstuBgc8rQWvy+lxxqZUjEIcYaw7T2Tv5sprLUfy8TPE14xLq3c7v/Xm474XXK/N6EUkrd4o9Xu+PZW3K0enqcTuNlGVf02v+SFyEcX1VG/ZmLCCWtFtBmStJ6PpWevF9BiYgA9wGvG2N+nO/XT1fdCYc5+HFJSQd/8RQPY8wQ9klnWs8jCAZDdUV199yJ00a4LF1V13ga1JLn+Tw9eyRXPnkIX9fRcT67e0qeaEmv+KuU2OcbA1V8bCPdfefpGXDyuDCbm6/g+NY97B+zhUZf4vOd3h7mPfuv5NKhv6O8PfHeTpl0Mb/ll5Rcso4715Vw4yG4seQRjqEJST5enY5ngKe/hWk/ABzN4puRZtZd6ppOM2HSCNqeXpKQxZfu86neFSLNfAbwAvAqR6/2v22M+b3TzxQizTw2xyNZdTDEVw62smRsZVrPU/D0ceVWrkozTxY/32/fMGOdnCXdUxJj2PF26tBwS+N4Aht9mK6jSUZSWkr1927lH6aeyVu+k5BcEPKWWutExQJLH5frUEXNHfOg+iLXndJurReAbz13c+ICasYcnX7rkKmXTJD0JuAWis5/KhTXBqjk/nC47SBHTOqcpOpgiPV7rAm3LW+XEXhlOCbowemt+WpqGD9nL+XtqSd+B/3HMOKmf1hf3DU55Z5oXUU5y0eNosHr0UoOA5PtQTPoi8XGF7w0mIS1XsparqAyFLZWHgQQwYikHZzA5QUldekJFVW3q47ZD87g1Psns/j5byX0h45wG/6kE9n4e08tb5dR/9dKTNBLT3E3FAhQ2m5fAbyyq/HoatVJ95CsJTtGEfBKQh+t21XXr/es3G/QB6ie1nq56UOfYYjJLCDF62tBydgSBlMemMLsR2fnriPq/CdF9CRt480Egi3WsZ50vIc8HsrDEceU7cYdw8D0/q/EV11NfWSU7ffqzaijc4eSljdfPmoUHZ6kOVW6HtOgMOgDlNOaLoHWABdPHU+jP71fUam3lMtPvJzqimoEobqimtpzazMehnC6ostJkNL5T4roSZoJ9rjPIa8ndS2yqFBbanZcMiktZewN13NvyWdTMvDaTAl3hOYnzh2aMr97Ec4Gr30f1PWYBr5BX808eQ5IvLpddVRXVDt+PyY+Q6+/erqiy/qYu85/UqT3j35cKHXV6BhfeZhQm/O/El9NDWNvuJ7KefM4fcIZ3PhIFwt9q6wJrWZUdx298Q5zh5z6qKuHz1VWDPorqJ6G4JZvWZ4yRyReqbeUpectZf2n1mcteOR19U6d/6To/R+9XYmgeGOnHAZJnfskfj81d97BCc/+icp58wArVXvY2VdyXrSM0YyuFTwZmdHjXEC7PlhU6zHtWGUlftRWWR/1Hm/aBn2A6imwNLQ2MPf4udSeW0t1RTUAHrF+ZQlDeFk8APO6emfSWD+VE62vNYtvUFlwxgJKxZ+40RgwhrJQGcc1nMHHjzhXZKic1E7NB1uQIUe3eauqqP7hD7oDU7zvX3wqd11+esKk19suOdVx7lB8H+zP8HlBaCJSvxR3mnkaKdIp6zdFhxrif3b2sRMIeFMTIdKaw5RcCRysq5A0/tHbrS+TvNAaWGeLRdMhVbpclWZet6uO5X+5jYauZmvhzU4vc89bwprwdG5c/SrPyNeY4LGvPUflROt+Eei0hWQ2KfNA4u9MwYCbB5VGYGhZuzZlBVwpLaX6Sx+nsvm+7p+NpbHGZwqlHRT6eAA6rS9z2yWn4q/cpqt3DnyuClA9WbN1L9vqVvLt4E8okaQqsh4/XHyP1ef6cbI2YOmk43QNsACVRmB4c+YsQvWpK3f6hsIJFyZu7/NEwD4egNOXPuu4GuiLi2f2/rqq2BVNgOq2YxU8/S2IlgqibCR87PajwUevFlLp7yRdrlmwMDvSSJF2WjIjdCQ1oFiVj9szP6vpYyacUzl+LdOvXGvK/J6vhHTaQqpZS+yvKjURKS3FmyThFADitvuqq2138Q11OHntS3p1HzPhnMrxa5l+VbTS6JODjiYi9UvxBqg0AsPYG65HShPTU6W0lLFfvCR76dV9PAAXzjnRfctuKNUfOm3BXtykY254TYNTBop3iC+NJSJiKa72WXynZS/bqLehDxuxlFpXLbuhVH/osi0qy4o3SUKp4lZ8SRJK5Y5WM1dKKVU8NEAppZRypaIY4hORfcA7BWzCaMBhGn3euaUtbmkHuKctmbSjyRhzQaYv4IK+AMX5+841t7TFLe2ALPSHoghQhSYim40x0wrdDnBPW9zSDnBPW9zSjlxzy/t0SzvAPW1xSzsgO23RIT6llFKupAFKKaWUK2mASs/KQjcgjlva4pZ2gHva4pZ25Jpb3qdb2gHuaYtb2gFZaIveg1JKKeVKegWllFLKlTRAKaWUciUNUElE5Bci0igir8VtGykiz4jIm9GPI/LQjoki8mcReV1EdorIgkK0RURKRWSTiGyPtuO7hWhHUpu8IrJVRJ4qZFtE5G0ReVVEtonI5kK2JRe0L9i2xVX9YaD3BQ1Qqe4HkieMLQb+ZIw5AfhT9OtcCwHfMMacDJwDfE1ETilAWzqBmcaY04DTgQtE5JwCtCPeAuD1uK8L2ZYPG2NOj5vvUci2ZNv9aF9I5rb+MLD7gjFGH0kPYBLwWtzXbwDV0c+rgTcK0KYngI8Wsi1AObAF+GCh2gFMiB7sM4GnCvn3Ad4GRidtK/ixkuX3qH3BuR0F7Q+DoS/oFVR6jjHGBACiH8fm88VFZBIwFfhrIdoSHUbYBjQCzxhjCtKOqGXAIiASt61QbTHAehF5RUSuLXBb8mVQ94VoG9zSH5YxwPtC8a4HNUiIyFDgMeB6Y8whkT6t0tAvxpgwcLqIVAGPi8jkvDcCEJELgUZjzCsicn4h2pBkujGmXkTGAs+IyN8L3aCBzA19AdzRHwZLX9ArqPS8KyLVANGPjfl4URHxY3XI3xpjVheyLQDGmGZgA9Z9iUK0YzpwkYi8DTwMzBSR3xSoLRhj6qMfG4HHgbML1ZY80r4QVeD+MCj6ggao9DwJXBX9/CqsMfCcEuv08D7gdWPMjwvVFhEZEz1TRETKgI8Af893OwCMMTcaYyYYYyYBVwDPGmM+W4i2iEiFiAyLfQ7MBl4rRFvybND2hWhbXNEfBk1fyMcNtGJ6AA8BASAI7AGuBkZh3Yx8M/pxZB7aMQNrXHcHsC36+Hi+2wJMAbZG2/EasCS6Pe+/k6R2nc/RG8OF+PscD2yPPnYCN7nh95Ll96h9IbUtrusPA7kvaKkjpZRSrqRDfEoppVxJA5RSSilX0gCllFLKlTRAKaWUciUNUEoppVxJA5RSSilX0gBVpESkSkS+2ss+k0TkyjSea1L8kgo23/+CiPzE4XsvJT+HiJwfK/+vVD5ofxiYNEAVryqgxw6JVYm61w7ZH8aYc3P5/EqlqQrtDwOOBqjitRR4b3SBsDujj9eii4ZdHrfPedF9boie1b0gIluij0w600QR+YOIvCEit8Q2isiRbL4ppfpI+8MApNXMi9diYLIx5nQRuRT4D+A0YDTwsog8H93nm8aYCwFEpBz4qDGmQ0ROwCplM83+6VOcDUwG2qLPX2eM2Zzdt6RUn2l/GIA0QA0MM4CHjLUMwLsi8hxwFnAoaT8/8BMROR0IA+/P4DWeMcbsBxCR1dHX1A6p3Ej7wwChAWpgSHdhnBuAd7HOLD1ARwavkVy0UYs4KrfS/jBA6D2o4nUYGBb9/HngcrFW+hwD/BuwKWkfgEogYIyJAJ8DvBm83kdFZGR0iYGLgRf72X6lskn7wwCkV1BFyhizX0RejKayPo1V/n871pncImNMg4jsB0Iish24H7gHeExELgP+DLRm8JIbgV8D7wMe1PF25SbaHwYmXW5DKaWUK+kQn1JKKVfSIT7VTUTmALcnbX7LGPPJQrRHqULS/lB4OsSnlFLKlXSITymllCtpgFJKKeVKGqCUUkq5kgYopZRSrvT/ATHhoF12nco7AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg=sns.FacetGrid(data,col=\"sex\",hue=\"day\")\n",
    "fg.map(plt.scatter,\"total_bill\",\"tip\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x201af4bd4c0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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16IlIo5V6gvWx7PengVV5yw24qWElapZ2SSse1HoOTWtR37BlN+dOfIf1vbczw44AMMh+Zj/6STjlhIr3u3d0LHD5yOgYm3aOtM5FT08zOkKu9fuuQ9cxryvC84iOH+lQkT9RKhFLDW/QK7FvPTkT6QyhFSx3fz7746+4+4/zXzOzX2toqZqhHdKKB7We3/NfwB3S41PLGtiivnd0jLv6hiYrVzkpDld1kznQn2IkpJLVMi2LeprREfJbvweO2R+8Ui3nER0/0qEif6JUJpbCGvTClke1700TS/TkTKRDhGYRNLM/znYPPN3MhvO+ngGGm1fEBmmHtOJBT+EmjkxVrnJyLeoNMNCfYsDqv8lcdd7ppHq7A1/LtSwmXqmnotI28lu/9/qc4JVqOY/o+JEOVeqJUk3KxNJAfyrgTeHLo9p35J9TRBKrVJr2rwIXApuz33NfZ7n7B5tQtsZqh7Ti1bSSN+jJ3KrzTud56r/JXLFokBsvflPo65G0LDZaOzwVlbLyj8Wbjq7kkPcVrlDreUTHj3SoyJ8olYmloAa9VG83q847vbb9Vbjvhj45E5FECa1guftBd3/W3X/f3X+c9/VSMwvYMM2YG6rRqmklL7Xu8BDcvADW9We+Dw9VvNkViwbZe9Zqxjim8IUabjJXLBpksJEti43WDk9Fpaz8Y3Fzeilrxi9nT3oO6XrPIzp+pENF/kSpTCzlGvQG+1MYMNif4saL3xRNN70S+27okzORVlPHvWcrqGSi4fa1cCV8fBesG818b6XKFQQ/hevug67ewmWlKju5/uIHnwN8qr94FQf62cs/Suriz0ZSWW1oy2KjtcNTUSmr+BjdnF7Kuf45Nl/0ZH3nkYiOn007R1iy/kFev+Y+lqx/kE07R2orj0iTRH7eryCWViwa5OE15/DM+vN5eM050Y2BKrHvlr6+iUQpgnvPpKtkomFJqrDJfYOWhd30RZVNMaKJjHMXuZbMshTBZMuSfA07RiOarFuD6KXVRB5TcZ6LS+x7RXaVlry+iUSpXTJ5l2Du06a4SpzFixf7jh074i5Ge1rXT8A0Z4BlnuxJ3KzWNypuOs+S9Q8GZuMc7E/x8JpzYihRbGqKG8WMdDjFjTRHe917BsZNZ3cRlMaP+2jzPrYiSaJB9CIikngdMOZYFaxO18hxQx3Qx1YkSTSIXkREEq8DxqyrgtXpctkUU7OnlvVEdDOmeX1EmkqD6EVEJPHaIZN3GUpyIRlH8ypCYy8VzHpfM83rI61geKj6wfC1vKcJWjpJjIhIwmzaOaLzaaNElBwtqVTBksZlc5k1L9s9MGC5SBLkurHmjv9cN1YIP/ZreU8TrVg0qBsAiUQSby6TWCZpT8rKKvVQF0Fp3JOmDuhjKy2ulm6s6voqHSB3czkyOoYzdXMZ57xqSSyTtK8NW3ZPVq5yxsYn2LBld0wlklaiCpY0LptLB/SxlYSpJGvl8BCHPv1rpNf146MBT1ihdOOCur5KB0jizWUSyyTtS1lZpR6xdRE0s25gBzDi7hfEVY5SmtoVoZFjOspte9lajt5zFT0Tr04uOtp9LD1RPGlqZB/bhI6DkfrVFHuVdN0bHuLoPVcxI3esh836UqpxQV1fpVWVOmcOD8H912bG4AL3+kzWdX2IzemlACzv2sbqniEGxvbDzfOjP99WcD7XDa8000B/KnBewURlZdV9UGLFOQbrY8DTwGtiLEOopva9jWpMR1CgQdltb5pYwrbxy7mGrzNgB9jrJ3JL+hKWTiyZnHk+cRI+DkZqV3PsVTKWcOsNBQ0Jgcp1Y122tvDYq+Q9InErdc4E2HQlpMcnf51tr/BXvbdBdtH63tuZYUemvzeK822F5/OWuOGVtrHqvNMLrkWQsKysug9KtFi6CJrZPOB84PY49l+JpnZFiGJMR9icU/dfW3bbG7bs5ptHfpOlR27lDYfvZOmRW/nmkd9MdrcLjYNpWzXHXiVd90LWcYe0V9iNVV1fpRWVOmduvaGgcpXTZ0dZ3TPE6p6hqcpV8XsbXbY8moZAmmnFokFuvPhNDPanMGCwP8WNF78pOQkudB+UaHE9wboFWA0cH7aCmV0BXAHwute9rjmlytPUrghRjOkIC7TiZQHbbsluFxoHEyjuuIlCzcdjJV33QtYZ8Tm8b8aXePjj51RWyDZPL9tJ2iFmKlLjOXOg60CmBaKG91aswrJpGoLk6JS4SXRWVt0HJVrTn2CZ2QXAi+7+SKn13P02d1/s7ovnzp3bpNJNCetyEHlXhOEhsJB/QzVjOqoNqOy2N+0cocuCB6IkuttFoxJztLi44yYKNcdeUNZKgNlvKFjnaPexBS8f8j5u4RK1gneodoiZipQ6Z5Y4b3bNmkdX//zqtlmtKs7nKxYN8vCac3hm/fk8vOac5N78trmOiZsk031QosXRRXAJsNzMngW+DpxjZv8QQzlKakpXhFy3Pp+Y/lq1YzrCAio1OzRVem6sy0RA62Qs3S4qyQCXoxTwbavm2Fu4Eua9ZfryZ74D//hfJ9fpueh/cCh1MmmMPek53NR7JUvfc6Vu1KS9lTpnLlsLXb3T39PdN/V6I8+3Op+LVE9xk2hN7yLo7tcB1wGY2TuBP3X3Dza7HOU0pStCULc+AOuufkxH2MD7d396al95yS82TSzhT4YeD6xcdZs1v59xtYM185IWKHtOe6kr9p7dFrz8kTvggs9kfl64khnZ42QesK6SQilTk7S6Ss6ZeVkESc3OXD/yX29UDOh8LlI9xU2imYf1rW7GzqcqWCXTtC9evNh37NjRlDI11bp+IOjvb7BuNPg95dLsVhBoxVnaAvbOM+vPr+ED1eHmBSHjZ+bDx3c1tyzJEpZIvKy2jZtS1s0q8drB2rZZXPmHTOOFElskWU1x05ExIzJFcSNSvcC4iTNNO+7+EPBQnGWIVeiA+xNZsuY++lO9mMHooXEG+lPc8us/4uwnrp/2lOffHtnKcT/eymt9H2nrohsveZbcsGU35058h9V9QwzYfvb6HG46unJyvpNYxl4FVa5KLW82PcFoDdYd3OXWuqcvCxA4/9ZDFaR/F2lBTZ3rUSRBEnHs676ircWSpl2yAvrPHvI+Pj2eCbDRsXF+dmgcJzMX0MAjNwXe6L3+2a9zEvvoMughnalc5brYBYxjWvzyA6zvvZ15XfvpMpjXtZ/1vbezvGtbfClvw26AK7wxbqiwFPilxohJuGrG2lXrrMuqW54n92R3ZHRsMuau2/gEXmmmpkZ+LpGoZI9TX9fP2ZvezlkvP1BwvG/aORJ3CUUaKuxc39RjX/cVbU8VrDhl59N5gbmkPTPgfs345ZNPkoqdzP7A5V1hj6uK50PIXlhv6fv8tDlNZtgRru0dim+Oh6CnDqWWN5PmmohOoy8qF3wGFn94qmJu3Znfc+OvcmUIqAiFzb/1U+YE7ys/sYwultIK8o5Twxm0qcY1aOBcjyIJ0tR5TsPovqLtqYIVt4Ur+Y1X/3pygt+wyhXAXg+50Ssl18pecGENNmAH4useMissDXDI8mbSXBPRaeRFJVdx2vFleM0AXPwluP6l6ZWrkIpQ2DxbNx55b/lMTbpYSisIOE5n2BFW90w1BIyMjrFk/YN6kiVtKxFzf4ZNeq/7irahClazlOg+VOmYp5uOrmSMYwqWpcu9KdfKHpaxMI81au6ESrpOJTndqOaaiE6jKqvlniDljsGNHwmtCIXF4Y7XnJtJaDFrPmCZ78UJLlQJlxYQdvM2YAcKfld3QWlnTZvntJSQ+4e9fqLirk2ogtUMZW7+gub9CfJA9zvYdeZfFtzoPfPLlzDmfcFvyK+glLvRK67MRDWeJOizb7wik+0tf7vZ7pIlb2LjkuTKX6upt7IadlyWeoJUcAyGOLin9PxbC1dmslmuG818Lz4uQ8p/KHVSZZ9LpME27Rxhr58Y+FrQcnUXlHbVlHlOy1m2dlqDeW4MvuKuPcSaRbDtTWaICbixy8tClj/vz8joGN1mTLhPyyK46rzTOXvRu4CPTm7mVGD75jOZ/+iGvCyCaWzW/MKMNCEZCzOvzZ+e7r2aOalKCXxy5sHbzX0ljeaaiE7YfG2VVFYDjsuj91zFpzY/ydrx54LHIh58rqKnt8yaV9/8W8vWcvSeq+iZeHVy0SHvY+0vfpelO0dCt5GITFbSETZs2c1Z4ytZ33t7wRjcQ97HTUeDz2VN7TIl0iRNmee0nIUrWfP1nazqGWLADrDXT5zM5myKu7YQ6zxYlWrJORaC5s4p4hhWNN9V7oZr8csP8Bd9f88sfj41Zipo4sd6yhM2l0+Uc1KFzvVV53Yr1fppUNtvHqxy/5Oi17efehXXPHUa/3ToEo7vOjxtc3vSmbGJ87qCksAYZY8/yIzXqvO4WPep67n8yD9Mu1heNvOHrDvu7mmfN2g+ulRvd+MTzeQ3/OTS2hc3srQ+zedT5PVr7sOB5V3bWJ13U7fh6Ep2vOZcRopu6pZ3bWNN3xADHCiM07D4bf1zrShugKn7sPwG78F6KmEhsbFk/YPT4g5gsD/Fw2vOqe9DKB6bKXnzYLW1ClrN9/qJbM9r3c7dcJ078R029N5GH0cL3zD2Emy6MvNztYFSzVOYKMeTlHpyVs92KxHlkziJTqknlQH/swWPfIIb06cxM6ByBZnxI9eM/zG39H4+4CmWk7YuurzsaMW6feWVt3AHbylYtrxrG6vHb4eD2ScGecfghi1zQjNZNayCVfz3zWXpVGy0vYH+FCOjY2xOL2XzkalkSrkbx1XfeJzxdKYxYnnXtsyTLoqO2598Hx7/6vRzasjy7c/+jGueOk1PaKVlFDd8TWQfQuTGJQLVHcMl7kNWnbcksJGt7q6KuvdJBI3BapQylYagvra51KGre4bos6PBb0yP156ZrNw4kpwokzoEjV+KYruVUGa31hPwP0vZEd7W9SQW0ra610/MdKsI2aR5mnS5h1hbb2DTzhGWrH+Q16+5r6YsakEDpFf3DE2bEiF3DMaSyapUw49io62VGneyYtEgM4+dam8NPW4fuSP4nBqyfOCRm+Kda0ikSkEp3HNqGpdY4j5kxaJBbrz4TQz2pzAyjR2R9GDQvU8iqILVKCGVBncK5rvKv5nK/TxgwfNdTWp0ZrIokzoUJK+AaU9SG5ksQpndWk+V/xt3JsePjIRMYzCSnsPfT/x2yUqWH9xT98STQTewxdnZJh3cE08mq3J/X8VG2yp3Mzd6aHxy3bBrkKerm6/wZAqPfyXOkKQr18BVdQNYmfuQFYsGeXjNOTyz/nweXnNONE94de+TCKpgNUpAJeWQ9/Gx8SsL5rvKv5m6dOYP2dZ3dflO0I1ODx51Rr/JJ2cH4eLbmpcpUOnVW8vwEFh1p6Q0NhlLNx1dyaHijJq9KW7v+yDXH/1Drhm/kqMevP2fEt5dr1JBN7CvzgjJIjhrXjyZrMod+4qNllLtU9eCm7nf2c+Kh86bzMh56cwfTq4XNufiRNgtgwVnwQ3KTqjEGZJk5Rq4qm4Ai+M+RPc+iaAKVqMUVVIOpU5mrV9RMJFwwc3U8BCf8C8wr2t/aFcoALp6m5MevNLuhEnZbhClV28duT7jAS3hY97H99JvpDgfjwNfTf/25O+b00v584mPcCh1MvkV+DPOv4JUbzeb00v5r+N/NK0SdrT72MxkwgGqvRksbo2c8e4bQo/BhnUPKaVUl13FRkvJjRWp6alrwPQZn/Av8Ht9/wwEN1Yc8j7unDgnsBGDsy6bdlyNcUxgdsKmzjUkUqVS0+bU1AAWx32I7n0SQUkuKlRNOuWpdY9joP9WVl2UWXfpzhH+JWwbW28oSPGc4xBNFsFOpPTqrSNsbJB1s+vMT3HdU6fx0Vc+x/t7HsxMQ2Dd2FmXcfzgnzCYzbp5Xd83+CX2Y33z4N23Tf6fV2Q39SdDj2caOMYpyKJ2e88H2fGad0BAZarum8Eyx+CKRYNNTw08VZ62ziLY9oLGilScJCUg3nomXuWG4+7mX2Ys497Rpczu7WN1710ce+iFgqyYj6R/dTJ+uvrzjufXvbXgON916lU8sP2XIR3xAH6RBgqbNqfmLIJx3Ifo3icRlKa9AtWkU6459XKpdObrDtZR+iJK3dlq2i9Ne5DQ498yTztLqXAKglya6oA9cPP7zognZbo0Stumm85PIR3EgGfWn196I1XEWz2ppOue503Xq2Zr27gRaSClaa9VRS2Fw0Nw/7VcNPYSF3XBz46ZybrxDwGw2oYYuOcAPFTiAhGaztwy247ioqLUnZJUYcd/SJ/x/Bu3fzn2zziJgIxJGz+SuTnLxlwuTXWxrmyf3BsvfpMm/a2TJk5urKAGvHzLu7bxZ33fgHUfCKyQ5P4/d6VPDJ43LiDeVp13es2ppOt6QqvrldQhqnORzmlSK43BqkDZdMrDQ5n5qcZewgAzmG2v8JneL7Ch94vM69pPV7afO/denVm/2LK1BFeCPbrUmkrdKQm1/dSrGCsa2zHmfWw/9app6xaPPXmt7wvfcF7MhfWtn3CfnN8k8mxOHaSuMUFSkVIppJd3bePTvbdzEvsg4HqT//8JSwgTNEYjlrGCoOuV1Cyqc5HOaVIPVbAqUDad8tYbMvNTFemxNMdY0cUw7AKxcCWhXQSjSq2p1J2SUNc8dRrXjl/OnvQc0m7sSc/h2vHLueap06atW3yTGZbxbNL4GNx/7eSNYndAFhmlj65fqSf9EoHhIe469BH+/Zj3s63vapZ3bSt4+c/6vkEqZM41KPz/bE4vZU0u3irI6NqQVNLl6HolNYrqXKRzmtRDFawKlE2nXO0JP2z9ybmiipdHlFpTqTslofaOjrE5vZSlR27lDYfvnJzKIOjpcfGym46u5IiX6e089hIMD7Fi0SDpkHGnSh9dn1gmTu4U2e5y87r202Uwr2s/63tvn6xkDfanOImQ+ROz15vi/0Mu3k599c7GZ3Stha5XUqOozkU6p0k9VMGqQNkuEtWe8MPWryW15vAQ3Lxgci6TwO6H9WxfpME27RyZHAdVrH9Gb8E8P5/Y9AQXdT/Mtr6rJ1vyAX7ux5bfUbYlP5YJfjuA/q4NFNBdboYdYXXP0FRjX5kKSf+M3sCXw5ZXrZprUSV0vZIaFZ9zlndtY1vf1fzbsR+o6tjUOU3qoQpWhUp2kVi2NjM/VbGu7unLS10gqp3gN2Auk9AxXrVsX6TBcn3cJwKeKvV2G6+8erSg//vLP/wq/63nS9Na8k+wV8rvLNuSH8sEvx1Af9cGCun1MNB1YKqxr0yFJCxhcCSJhKu9FlVC1yupUf65aHnXNtb33l7ZWPgS28nROU0qpSyCUcid8O+/NtMVCabmrILq0swuXFn5BaTUIOCwbVSz/TBKnSsRCRu0323GcX09jI6Ns7xrW3benf2k6aLH0gXrzrAjpK0LPD1tOwWyLfn585woM1R09HdtoJAsm12z5k39fcvMfXNwbPo44VLLq1LLtagSUVyvpOPkn4tWHxpiRtjYxDLHls5pUo+mV7DMbD7wd8BJQBq4zd3/utnlCFVr5SF3Ich///3XZl4beykzoefB56YSXGS3uWnnCI/ddxuXH/kHBroO8GrqJGa8O7tOWDkm9xGU1p3KxoTV+jnLpc5V5UuKhB7jC1ey+OUHuKsvU3kaZSbucIK9QpouutNpXuqbyfH2Kn12FIAugitRXZ7OtNYHTVYMUy352eNzxcE9rJg1D96/FhYWzRkUdAxDcANKwLFdVVrfNouXpk+c3Eqq+F9v3/xF5j+6gdf6Pl6wOXyXs1juPy24UTziPfz8Zz/jhOtnZeLF0oylTuYvx97L1159K7wKv7/x+3zy/rXMGHuefz+WyTxK30u/kQ+N/zkQUXcnJaSQGIWdc1csGoR1B4LfVOGxqXOa1KrpEw2b2cnAye7+qJkdDzwCrHD3p8Le07RJ7CqcsLSq94dJzWb7f1jDXTt+wg12W8GFc8J66O7qgom8VpdcOaD8PmbNzwxarqaclX7OmxeEzFc0P3PDUM/fT4K09ETDm3aOsO1bnw8+xnuPwY/8ovYPWMBg8R/Cj76duXCmTsgsHvtZYSWp3PEZFBvdfZCeAC960tbVCys+P22eoYonLK73fCOlJGvC1Cr+19s3f5EFj3yiICPgIe/jGxNvZ1nXYwzYAUY5juMYm56lNrvumvHLAVjfe/v01nsy3QK/l34jH2VtNCnXS10XSl2LJGmSFTdBihoqtp96FR/a/svh51wdm9J4gXHT9ArWtAKY3QN81t0fCFunacFbbyCGvT/EGMcw5r3MrmT8SK4cUHofldyg1fM51/UTnE7eSkwWqxNZHVq6grVk/YPcdegjwZOaRq3ccVbJcV9lDBfvc8n6BwMnMx7sT/HwmnOqL4/UKlk3ilX8r19Y9yvZuawK7UnPYemRTCPbtr6rS8bUnnRm6oJS6zhwz0VPRdM6r8aCdpGsuCkWcJyNcQzXHvkwm9NLC1adPOfq2JTGC4ybWJNcmNkpwCLgBwGvXWFmO8xsx759JSYSjVK93Ryq7A6R4jAnUGHlKrf9UvuodBBwPZ+zVKYqdROJXSxxU8Le0TEGrAmVKyh/nFVyfNY55UJVaX0VL4nQlJip4n8dNnH2gB3I+7l0TA3YgbLrGETX9UkJKTpOLNeagLF+KQ6zumd6worJc66OTYlJbBUsM5sJ3A1c4+4vF7/u7re5+2J3Xzx37tzmFKpU5aGSFLSNnp9j1rwSZZxf+Vwm9cwvUipTleYtiV0scVPCQH+q/ETAVQtpZE2dUDpGKzk+65xyoaq0voqXRGhKzFT4v96++YukQy7Le/3EvJ9Lx9ReP7EBcVfGwpWZa9C60WTOqyWRiuVaE5ZN06aPsyo45+rYlBjEUsEys14ylas73X1jHGUIFFZ5OO0/MfGtKwtS0E5868rpN3BB7y/jZ8zkkPcVLJuwnsy4j+JyLFsbzdwg9WyjVGuQ5i2RIqvOO51buKT8RMCldPVmkkrkjrfFfzj9OOvqhSOvlE4TXcnxGbROd18mSU1QuYqO7arS+ipeOkcl/+vhIRY8+slpWTIhM67qpqNTN4U3HV057bpRvG6pdQB4/Tuq+ggisQtpqHieEwt+Vyp1SYKmV7DMzIC/AZ529880e/8lhVQeDj9+N91emMq228c5fO+q0u9Pzc7eGAIW8KfuTfFvZ63lpt4r2ZOeQxrjUOpkut/zP+GizwVXYqJ43F3vNsJag/QoXoqsWDTIsWdewitUMBFw73F58ZKtpMyan0kk8e5PT3VD/dG34c3vLzzOjjm+MCkMTKXizank+Axa56LPwXu+MFU2yPxclOAi93lLTkqeT/HSOSr5X2+9gRSHp731qHexZvzygjEmm9NLWTN+eea64Zl13DNjr3Lrbk4v5S/tjziUOnl6eV7/Drh0cwM+qEgDhTRU7D1rdWXn3HxRT4wtUiSOLIJLge8BT8BkzuU/c/f/FfaeuAfr+7pZgZ2SHLB1ByvfUH56devOZCXLZd/TTZUEa+kkF7msek92vY+usE9SLgYqGaRcKvnKutGayy8tK9mD9YOEHMNpN87sGuLw0XTgnHFBApOqiJSX/LiJYmoLJb6QaAXGTdPnwXL3bdRx09h0w0PZmlTAa9XWTXOBWzyP1MYr4CffhwuS9UBPpCZ5F8C3Moc1/mbSdAXPYZWaXT5jXiWTmIZmsGzOeKaq5r6Sjhc4N1zqhKl51vLs9RMZrXIy4LBkKxVps7nZpM3UMvn08FDhPIZBE9NHMTG2SJ6mV7BaztYbsJDq4EE7nv4atjd9DiuHHV+G171VwS2tIewmrKhl8CT28aHu/x0aQxx5JfOeUsd9JRnYwuZga8J4puK5r0ZGx7hu4xNAhFnapPVlY8YP7uHtPpN3c4hjujLHzIyx5zNzw3X3FXR1LR57VamaJw8uN5G8SKsZHoJNV0I6r5GiuHKVowyuEqFY07S3hJA5cdzhR2d+sobthQWwF44XEUmq3E1YUEKJgAaE0MoVZG4myx33lWRgi3E804Ytu6d13Robn2DDlt0N37e0iLyYMZzZ9vNpkwR3+1Homwmz5pPGCsZThTlhRm/lSVUqcOj+teFPi0Va0dYbCitXpSiDq0RIT7BKGR4i0zdwel/AI339nL38o9VvM6wrE6j1RFpDqS57tRzD5d5T6dOpWrqORKCqua+kMwX2XAgw9jO49hlOXXNf2R7oqd5urr/wjQCRdE/dtHOE5YdeCO4Or2uTtKpKj11lcJWIqYJVytYbCBs4f8yFG2rb5rK1mTFXQdtV64m0glJd9ko1IIQpd9znKk0JHRcy0J9iJKAyVXM3LWk/Fd7kHUqdxAzCj6mcbrOCTGlRdEXdsGU3i/1E5gVNUKxrk7SqUtck6850F0zYNUXag7oIllKqO1+tgbhwZWYen+JmQrWeSKso1WWv2rngqpl/LaETRVY191WtlFK4tVVQQTnkfdw0/j4g+JjKSfV2899Xvjny8X17R8cC58465H26NknrWrY2M2dhse6+zPQbCbymSHtQBauU0BvJ+fVt94LPwMW3af4baU2lJk3NjYWqRPa43zSxhCXrH+T1a+5jyfoH2bRzJPoyN1BVc1/VotSYN2kNATFzxHs4kJ5J2qfGW33llbcAhccUZJ5YQQOOrTwD/ami+bUy5bqp90pdm6R1LVyZmbOweB7Diz6n41oaSl0ES2lkZrKi8SKbdo6wYf2DSvMsDVdvSvFNE0t4zD/K5em8FNPvzktvu3Dl1HxvYWbNh4/vYvvmL3L2I2/ne+xnb98cbnp5JddtzGRRa6Xjf8WiwcaVt5I09ZJsRd1cX2AO/238vdMSWAzmdStt6DEVYNV5p3PdxifYPL6UzUcy5Ur1dnPj+W9qWhmkczV0qouYxudKZ1MFq5Qmjf1QmmdplnqPtan3v4U7yLS2pya6uXHiTazIXzGocSIn10gxPMSCRz9Jyg4DMM/2s773dhiHDVv6dOznVJKmXpIv7ybv+ztHeGDjE5CeyiQYebfSKuXiTfO5SbPpHkjakSpY5TSh5aNUmmedXCRK9R5rFb+/oHHiuexg4onMk6tcI8XNC0hxuGBbM+wIq3uGeNtoeGrqjhPzJMoSvaRWZpr91EwEdA8k7UkVrARQmmdplnqPtareX65xIuQJzIAdUAa+fDFOoiyNo8qMSIbugaQdKclFAoTdTOomU6JW77EW6bEa8gTmeU6MtatU4sQ4ibKISKPpHkjakSpYCdCUNM8i1H+sRXqsBmRWG+MY9p61Wi37xRKcpl5EpB66B5J2pC6CCZDU/vjSfuo91iI9VgOSyKSWreVsVR5ERDqG7oGkHZm7x12GshYvXuw7duyIuxgicbDyqwRT3EgHqyluFDPS4RQ3ItULjBt1ERQREREREYmIKlgiIiIiIiIRaYkugma2D/hx3OUA5gD74y5EnqSVB5JXpqSVB6or0353f1ctO1HchEpaeSB5ZWr18tQUN4qZkpJWpqSVB5JXJsVN/JJWJpWnvEjipiUqWElhZjvcfXHc5chJWnkgeWVKWnkgmWVqpKR93qSVB5JXJpUnXkn8vEkrU9LKA8krU9LK02hJ/LxJK5PKU15UZVIXQRERERERkYiogiUiIiIiIhIRVbCqc1vcBSiStPJA8sqUtPJAMsvUSEn7vEkrDySvTCpPvJL4eZNWpqSVB5JXpqSVp9GS+HmTViaVp7xIyqQxWCIiIiIiIhHREywREREREZGIqIIlIiIiIiISEVWwQpjZl83sRTPblbdstpk9YGY/yn4/oYnlmW9m/8fMnjazJ83sY3GWycyONbMfmtnj2fL8RZzlyStXt5ntNLN/TEh5njWzJ8zsMTPbkYQyNYpipqIyKW4qK4/iRnGTXybFTWXlUdwobnLlSWTMZMuQmLhpZMyoghXuDqB44rA1wFZ3Pw3Ymv29WY4Cf+Lu/wF4K/BfzOzXYyzTYeAcd38zcAbwLjN7a4zlyfkY8HTe73GXB+C33P2MvHkVklCmRrgDxUw5ipvKKW4UNzmKm8opbhQ3kNyYgeTFTWNixt31FfIFnALsyvt9N3By9ueTgd0xlu0e4NwklAmYATwK/Mc4ywPMywbDOcA/JuF/BjwLzClaFvv/rIGfVzFTeXkUN+FlUtwk5LMqbkLLobiJ+UtxU3FZEhEz2X0mKm4aGTN6glWdX3L35wGy318bRyHM7BRgEfCDOMuUfcz7GPAi8IC7x1oe4BZgNZDOWxb3/8yBb5vZI2Z2RULK1EyJ+KxJiZlsWRQ35SluEvBZFTcl3YLiJmkS8VmTEjcJjBlIXtw0LGZ6IiqgNImZzQTuBq5x95fNLLayuPsEcIaZ9QPfMrMFcZXFzC4AXnT3R8zsnXGVI8ASd99rZq8FHjCzf427QJ0mSTEDipsKKW5iprgJp7iRMEmKmyTFDCQ2bhoWM3qCVZ2fmtnJANnvLzZz52bWSyZw73T3jUkoE4C7jwIPkekPHVd5lgDLzexZ4OvAOWb2DzGWBwB335v9/iLwLeAtcZepyRQzIRQ34RQ3ipswiptwihvFTZCExAwkMG4aGTOqYFVnM3Bp9udLyfSxbQrLNIP8DfC0u38m7jKZ2dxsqwhmlgJ+G/jXuMrj7te5+zx3PwW4BHjQ3T8YV3kAzOw4Mzs+9zPwn4BdcZYpBoqZwjIpbspQ3ACKm+IyKW7KUNwAipv88iQqZiB5cdPwmKlncFg7fwFfA54HxoE9wIeBE8kMzvtR9vvsJpZnKZm+osPAY9mv34mrTMBCYGe2PLuAtdnlsf2N8sr2TqYGT8b5P3sD8Hj260ngz+MuU4M/r2KmfJkUN+XLobhR3BSXSXFTvhyKG8VNfnkSGzPZcsQeN42OGctuTEREREREROqkLoIiIiIiIiIRUQVLREREREQkIqpgiYiIiIiIREQVLBERERERkYiogiUiIiIiIhIRVbBEREREREQiogpWmzGzfjO7ssw6p5jZ+yvY1ilmtqvE65eZ2WdDXvvn4m2Y2TvN7B/L7VekmRQzItVT3IhUT3HTOVTBaj/9QMngBU4BygZvPdz9Nxu5fZEI9aOYEalWP4obkWr1o7jpCKpgtZ/1wKlm9piZbch+7TKzJ8zsfXnrvC27zsezLRjfM7NHs1/VBN58M/snM9ttZtfnFprZK1F+KJEGUsyIVE9xI1I9xU2H6Im7ABK5NcACdz/DzH4X+CPgzcAcYLuZfTe7zp+6+wUAZjYDONfdXzWz04CvAYsr3N9bgAXAoez273P3HdF+JJGGUsyIVE9xI1I9xU2HUAWrvS0FvubuE8BPzew7wNnAy0Xr9QKfNbMzgAngV6vYxwPufgDAzDZm96nglValmBGpnuJGpHqKmzamClZ7swrX+zjwUzKtKF3Aq1Xsw8v8LtJKFDMi1VPciFRPcdPGNAar/fwcOD7783eB95lZt5nNBd4O/LBoHYBZwPPungb+AOiuYn/nmtlsM0sBK4CH6yy/SLMpZkSqp7gRqZ7ipkPoCVabcfcDZvZwNu3m/cAw8DiZVovV7v6CmR0AjprZ48AdwOeBu83svcD/AX5RxS63AX8P/ArwVfXtlVajmBGpnuJGpHqKm85h7npaKCIiIiIiEgV1ERQREREREYmIughKWWZ2HvDposXPuPt74iiPSNIpZkSqp7gRqZ7iJpnURVBERERERCQi6iIoIiIiIiISEVWwREREREREIqIKloiIiIiISERUwRIREREREYnI/wcxwFRgzO1apgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 864x216 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg=sns.FacetGrid(data,col=\"day\",hue=\"sex\")\n",
    "fg.map(plt.scatter,\"total_bill\",\"tip\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x201bbec3910>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x216 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg=sns.FacetGrid(data,col=\"day\",hue=\"sex\")\n",
    "fg.map(plt.bar,\"total_bill\",\"tip\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x201bd3c1070>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1gAAADQCAYAAAAalMCAAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAXxklEQVR4nO3df5BvdX3f8edLrvZCwIvI1SERZmNDSC0TwVxRoyaKoZJAo2lMg6gDGZs7TZpIbBLmpml1M5NOaetkTGtshzQG0iCm5UdjvPkBJVKVtEQgF7h4pVpdEwQFdEQ0AYW8+8eeC9+77O7d7+75nnO+3+/zMfOd/f44+z3vc+++dr/vcz7nc1JVSJIkSZK27ml9FyBJkiRJs8IGS5IkSZJaYoMlSZIkSS2xwZIkSZKklthgSZIkSVJLbLAkSZIkqSU2WDMkyWKSX+hhvb+c5K4kdyTZl+QlXdcgbcW0ZCfJhUm+tav6pFFd5yTJs5tc7EvyhSSfH3n8nUn2d1WL1KYe/+Y8PpKhfUkWVlnmD5Mc23Vts2Zb3wVouiV5GXAu8KKqejTJ8cAzei5LGrxNZudCYD9w74TLk3pXVV8CToPlD6TA16rqXc3jha28d5JtVfXYFkuUps3fVNVpq72QJECq6oe6LWk2eQRryjV7wO9O8j+BU0ae/8kkH09ye5KrkxyV5Jgkn03y9GaZZyZZOvh4k04AHqyqRwGq6sGqurd5/6XmQyNJdiW5sbm/mOR9SW5M8pkkb9vC+qVNGXh23tHUsD/JpVn2BmAXcEWz5/HILaxb2pAB5GQ9RyT5zeYo8HUHM9H8bdnV3D8+yVJz/8Ik/z3JHwDXTagmaVVDzFKShSQHkrwXuA04cfSzmzbPBmuKJfke4DzgdOAfAS8eefmaqnpxVb0QOAC8taoeBm4EzmmWOQ+4uqq+ueJ937TiEPLB21WrlHEdy4H8v0nem+T7N1j+dwGvBc4A3jnBP8DSU0xBdt7T1HAqcCRwblVdBdwCvKmqTquqv9nyP4S0joHkZD0nA79RVX8f+Arwoxv4npcBF1TVmWOuS9q0AWXpyJFlrm2eOwX4nao6vao+18oGyyGCU+6VwLVV9dcAST448tqpSX4VOBY4GviT5vn/AlwM/A/gJ4CfXPmmVXUFcMVGCqiqrzW/OF4JvBr4vSR7quqyw3zr3mbP/aNJ7geeC9yzkXVKLRh6dl6d5GLgKOA44C7gD8bbRGnLes/JYXy2qvY1928FFjbwPddX1ZdbWLc0jqFk6ZAhglkeavu5qvo/Y7yHNsAGa/rVGs9fBry+qm5PciHwKoCquqk5JPz9wBFV9ZSThJO8CfjFVd7z01X1hqcUUPU4y3tabkxyJ3BBs/7HePIo6fYV3/boyP3H8WdR3RtkdpJ8AHgvsKuq/irL556szI/Uld5zso6Vf0cODptd72/P18d4f6lNQ82SmZgAhwhOt48AP5LkyCTHAP9w5LVjgPuaoXdvWvF9vwNcCfz2am9aVVc0Q5BW3p4S1iSnJDl55KnTgIOHmJeA72nub2TohtSVIWfn4AfCB5McDYx+78NNfVIXes/JJi3x5N+ett5T2oppzZI2yQZrilXVbcDvAfuAq4GPjrz8r4CbgeuBT6741iuAZ7Ec2q06Grg8ySeS3AG8AFhsXvsV4NeTfJTlvYvSIAw5O1X1FeA3gTtZHhry8ZHvuQz4z3GSC3VgIDnZjHcBP5XkzwBP1lfvpjhL2qRUrXXEUrMqy7ORva6q3tJ3LdI0MTvS4ZkTqR1maXp53sucSfIfgR8EvM6BNAazIx2eOZHaYZamm0ewJEmSJKklnoMlSZIkSS2xwZIkSZKklkxFg3X22WcXy9cP8OZt3m6bZm68zfFtU8yMtzm/bYq58Tbnt1VNRYP14IMP9l2CNHXMjTQeMyONz9xITzUVDZYkSZIkTQMbLEmSJElqycQarCTvS3J/kv0jzx2X5Pokn2q+PmtS65ckSZKkrk3yCNZlwNkrntsD3FBVJwM3NI8lSZIkaSZMrMGqqo8AX17x9OuAy5v7lwOvn9T6JUmSJKlrXZ+D9dyqug+g+fqctRZMsjvJLUlueeCBBzorUJpm5kYza3HH8q1lZkYan7mR1jfYSS6q6tKq2lVVu3bu3Nl3OdJUMDfSeMyMND5zI62v6wbri0lOAGi+3t/x+iVJkiRpYrpusD4IXNDcvwD4/Y7XL0mSJEkTM8lp2q8E/jdwSpJ7krwVuAQ4K8mngLOax5IkSZI0E7ZN6o2r6o1rvPSaSa1TkiRJkvo02EkuJEmSJGna2GBJkiRJUktssCRJkiSpJTZYkiRJktQSGyxJkiRJaokNliRJkiS1xAZLkiRJklpigyVJkiRJLbHBkiRJkqSWbOu7AEnSnFvcMXL/of7qkCSpBR7BkiRJkqSW2GBJkiRJUktssCRJkiSpJTZYkiRJktQSGyxJkiRJaokNliRJkiS1xAZLkiRJklpigyVJkiRJLbHBkiRJkqSW2GBJkiRJUkt6abCSvD3JXUn2J7kyyfY+6pAkSZKkNnXeYCX5NuBtwK6qOhU4Ajiv6zokSZIkqW19DRHcBhyZZBtwFHBvT3VIkiRJUms6b7Cq6vPAu4C/BO4DHqqq61Yul2R3kluS3PLAAw90XaY0lcyNNB4zI43P3Ejr62OI4LOA1wHfDnwr8C1J3rxyuaq6tKp2VdWunTt3dl2mNJXMjTQeMyONz9xI6+tjiOAPAJ+tqgeq6pvANcD39lCHJEmSJLWqjwbrL4GXJjkqSYDXAAd6qEOSJEmSWtXHOVg3A1cBtwF3NjVc2nUdkiRJktS2bX2stKreCbyzj3VLkiRJ0qT00mBJkgZkccfI/Yf6q0OSpBnQ13WwJEmSJGnm2GBJkiRJUktssCRJkiSpJTZYkiRJktQSGyxJkiRJaokNliRJkiS1xAZLkiRJklpigyVJkiRJLbHBkiRJkqSW2GBJkiRJUktssCRJkiSpJdv6LkCSNMcWd/RdgebJ6M/b4kP91SFppnkES5IkSZJaYoMlSZIkSS1xiOC8cFiE1IuFPXufuL90yTk9ViJJkrrgESxJkiRJaokNliRJkiS1xAZLkiRJklrSS4OV5NgkVyX5ZJIDSV7WRx2SJEmS1Ka+Jrn4deCPq+oNSZ4BHNVTHZIkSZLUms4brCTPBL4PuBCgqr4BfKPrOiRJkiSpbX0cwXo+8ADw20leCNwKXFRVXx9dKMluYDfASSed1HmRmgCnip84cyONx8xI4zM30vr6OAdrG/Ai4D9V1enA14E9KxeqqkuraldV7dq5c2fXNUpTydwM3OKOJ28aBDMjjc/cSOvr4wjWPcA9VXVz8/gqVmmwJEnSjHAEg6Q50vkRrKr6AvBXSU5pnnoN8Imu65AkSZKktvU1i+DPAlc0Mwh+BviJnuqQJEmSpNb00mBV1T5gVx/rliRJkqRJ6esIlmaV4+wlSZI0xzbUYCV5EfAKoICbquq2iVYlSZIkSVPosJNcJHkHcDnwbOB4lq9f9S8nXZgkSZIkTZuNHMF6I3B6VT0CkOQS4DbgVydZmCRJkiRNm41M074EbB95/HeA/zeRaiRJkiRpim3kCNajwF1Jrmf5HKyzgI8l+Q8AVfW2CdanObKwZ+8T95cuOafHSiRJkqTN2UiDdW1zO+jGyZTSI2e+27KDzdHS9sMsKM0af39IU+mJv1vu0JPUssM2WFV1eReFaLotbT+/7xIkSZKk3q3ZYCX5b1X1j5PcyfLQwENU1XdPtDJt3Gp70Kd8r/pU7lmc8n9zjWciR239GdKcan2IeJ9ZWmfdDoWX5sN6R7Auar4eAH5x5PkA/25iFUmSJEnSlFqzwaqq+5q731FVnxt9Lcl3TbQqSZIkSZpC6w0R/Cngp4HnJ7lj5KVjgJsmXZgkSZIkTZv1hgi+H/gj4N8Ae0aef7iqvjzRqtQtz/uQJElSV2b8s+d6QwQfAh4C3thdOZKkrfAkekmS+vW0vguQJEmSpFmxkQsNS5s3eghYkiRJmnEewZIkSZKklthgSZIkSVJLHCKoQy3umMnZXKR1bWI2o6Xt50+oGEnSUDhxkDajtwYryRHALcDnq+rcvuqQJEnTwQ+7kqZBn0ewLgIOAM/ssQZJkrQGGxpJGl8vDVaS5wHnAP8a+Od91CBpRm1kuN/IMguPvJ+l7ROuSZIkzY2+jmC9G7gYOGatBZLsBnYDnHTSSd1UtYbO9uBN6qrWY06VvrBn73TsqZzxq4BvxpBy0wb3nmvSZi0zG3Lwd+fK35sr/1as9/oEfuc+cV7j4mTeX+2Zy9wMlZ+FBqnzWQSTnAvcX1W3rrdcVV1aVbuqatfOnTs7qm4GLO7w2lNzzNxI4zEz0vjMjbS+PqZpfznww0mWgA8AZyb53R7qkCRJkqRWdd5gVdUvVdXzqmoBOA/406p6c9d1SJIkSVLbvNDwEPQ4rG/0HBdp5jhcVpIkdazXCw1X1Y3AjX3WoOEYvXDrwiPv77ESSZIkaXN6bbDUL49eSWNwpiZJkrQBNlgDtVrz88Q01WtNsavJ8IO1pBl1yKUQvB6c1B0/W8w0G6w5NjokT9Iyr70lSbPP3/WaJBssSd2b1T13s7pdmk2LOwDPd5WktjmL4DxyZjVJkiRpImywunZwSnabHKl9G8mV2dMcc3IjaXjM5exxiKCk6bLZYXgdN1YLe/Y6rl+SpDlkg6W1TfJ8ksUdnqOiVkzzLGieZC1J0uyxwerCJqdVf8osf4vjv8fcc9KB6bW4g6XtT150emHP3qmc+XJwNTtEUhvVZBBWufj7an/X/H2rGdH6kL0+smEee+U5WJIkSZLUEo9gSZKk1k3z8F1J2gqPYEmSJElSSzyCNVCDO29D6oLnB0ljcaIUSRoej2BJkjSnlraf7w49SWqZR7DGdHBv4Ub2FD6xrGPPpYnzQ6IkSRoCG6x55VAsSZparU8jPUROMy1pStlgte2QxmWN64ZIasVcfMicEp4LNBA2JdITxhl1JLXJc7AkSZIkqSUewZI02xZ3uCdfs2G9ERKSpMHo/AhWkhOTfDjJgSR3Jbmo6xokDcvCnr2bGu7nxBaSJGlo+jiC9Rjw81V1W5JjgFuTXF9Vn+ihFkmSJM0yz01UxzpvsKrqPuC+5v7DSQ4A3wbYYElalUeqJEnStOj1HKwkC8DpwM191qExuSdIkqbHyO9sr8soSZPXW4OV5GjgauDnquqrq7y+G9gNcNJJJ3VcHa2cTDzxve6evK8Ves/NGp686PYqmVjcsaUPfUvbz2fhkXZP+H+izkWWM7bJSyws7Nm77rYd+u9hlvvQeWY2uoNqxXJr/Swd8jO0eOhrC3v2Oj21JmKIf2u8VISGpJdp2pM8neXm6oqquma1Zarq0qraVVW7du7c2W2B0pQyN9J4zIw0vt5zs7jDa4tq0PqYRTDAbwEHqurXul6/JElD5gW0JWm69TFE8OXAW4A7k+xrnvsXVfWHPdQiSdJwbHHIrCSpf33MIvgxIF2vtw1PGevu+U+SJEmSRvRyDpYkSZIkzaJep2mfJhOZEdATNCVJkjrnLK6aJBssSZNxcAdCM5TWiwVLh1qeen106PnqH/Kc9EJqkZe4UQdssCRtnhedliRJOoTnYG2Ae94lSZIkbYRHsCRNltNOS5KkOWKDJUlD51BMSZKmhkMEJUmSJKklNliSJEmS1BKHCEpzanTq56VLztnU93pulSSpDVv5myQNjUewJEmSJKklNliSJEmS1BIbLEmSJElqiQ2WJEmSJLXEBkuSJEmSWmKDJUmSJEktscGSJEmSpJbYYEmSJElSS2ywJEmSJKklNliSJEmS1JJeGqwkZye5O8mnk+zpowZJkiRJalvnDVaSI4DfAH4QeAHwxiQv6LoOSZIkSWpbH0ewzgA+XVWfqapvAB8AXtdDHZIkSZLUqlRVtytM3gCcXVX/pHn8FuAlVfUzK5bbDexuHp4C3N1poWs7Hniw7yJGWM/ahlQLbK6eB6vq7I0ubG42bEj1DKkWmI16NpwbM7Nh1rO+WajH3LTPetY3C/Wsmps+GqwfA167osE6o6p+ttNCNinJLVW1q+86DrKetQ2pFhhePV0a2rYPqZ4h1QLWMxRD227rWZ/1DMPQttt61jfL9fQxRPAe4MSRx88D7u2hDkmSJElqVR8N1seBk5N8e5JnAOcBH+yhDkmSJElq1bauV1hVjyX5GeBPgCOA91XVXV3XsQWX9l3ACtaztiHVAsOrp0tD2/Yh1TOkWsB6hmJo220967OeYRjadlvP+ma2ns7PwZIkSZKkWdXLhYYlSZIkaRbZYEmSJElSS2yw1pHkfUnuT7J/5Lnjklyf5FPN12d1VMuJST6c5ECSu5Jc1HM925P8eZLbm3p+pc96Ruo6IslfJPlQ3/UkWUpyZ5J9SW7pu54uDCkzzbrNzeFrGkxmmvWbG3r/mRhMboaYmWb9g8nNPGYGhpWbIWWmWa+5OXwtE82NDdb6LgNWXjxsD3BDVZ0M3NA87sJjwM9X1d8DXgr8syQv6LGeR4Ezq+qFwGnA2Ule2mM9B10EHBh53Hc9r66q00auq9B3PZN2GcPJDJibjRhaZsDcgLk5aIiZgeHlZt4yA8PKzZAyA+ZmoyaXm6ryts4NWAD2jzy+GzihuX8CcHdPdf0+cNYQ6gGOAm4DXtJnPSxfU+0G4EzgQ33/fwFLwPErnuv9/6uD7R5kZpr1m5tDaxhUZpp1mpuBbfNQcjOEzDTrG1Ru5jUzzbYNMjdDyUyzXnOzej0TzY1HsMb33Kq6D6D5+pyuC0iyAJwO3NxnPc2h3n3A/cD1VdVrPcC7gYuBvx15rs96Crguya1Jdg+gnr4MYpvNzarezbAyA+bmoEFs8xByM7DMwPByY2ae1Pt2DyEzTR3mZn0TzU3n18HS1iQ5Grga+Lmq+mqS3mqpqseB05IcC1yb5NS+aklyLnB/Vd2a5FV91bHCy6vq3iTPAa5P8sm+C5pX5uapBpoZMDeDMZTcDCUzMNjcmJmBGEpmwNxswERz4xGs8X0xyQkAzdf7u1pxkqezHNwrquqavus5qKq+AtzI8ljovup5OfDDSZaADwBnJvndHuuhqu5tvt4PXAuc0Wc9Pep1m83NmgaXGTA3I8zNCgPIDAwwN2bmEH5GW8HcrG7SubHBGt8HgQua+xewPM524rK8G+S3gANV9WsDqGdns1eEJEcCPwB8sq96quqXqup5VbUAnAf8aVW9ua96knxLkmMO3gf+AbC/r3p61ts2m5u1DS0zYG5WMDcMKzMwvNyYmafwMxrm5nA6yc1mT96ahxtwJXAf8E3gHuCtwLNZPknvU83X4zqq5RUsjxe9A9jX3H6ox3q+G/iLpp79wDua53upZ0Vtr+LJEyj7+vd5PnB7c7sL+OWh/PtMeLsHk5mmHnOzsbp6z0yzbnNjblbWMsjMNDX0npt5zUyzjYPJzZAy09RjbtavYeK5SfOGkiRJkqQtcoigJEmSJLXEBkuSJEmSWmKDJUmSJEktscGSJEmSpJbYYEmSJElSS2ywJEmSJKklNlgzJsmxSX76MMssJDl/A++1kGT/Oq9fmOQ9a7z2ZyvfI8mrknzocOuVumRmpPGZG2l85mZ+2GDNnmOBdcMLLACHDe9WVNX3TvL9pRYdi5mRxnUs5kYa17GYm7lggzV7LgH+bpJ9Sf59c9uf5M4kPz6yzCubZd7e7MH4aJLbmts4wTsxyR8nuTvJOw8+meRrbW6UNEFmRhqfuZHGZ27mxLa+C1Dr9gCnVtVpSX4U+KfAC4HjgY8n+UizzC9U1bkASY4CzqqqR5KcDFwJ7Nrg+s4ATgX+unn/vVV1S7ubJE2UmZHGZ26k8ZmbOWGDNdteAVxZVY8DX0zyv4AXA19dsdzTgfckOQ14HPjOMdZxfVV9CSDJNc06Da+mlZmRxmdupPGZmxlmgzXbssHl3g58keW9KE8DHhljHXWYx9I0MTPS+MyNND5zM8M8B2v2PAwc09z/CPDjSY5IshP4PuDPVywDsAO4r6r+FngLcMQY6zsryXFJjgReD9y0xfqlrpkZaXzmRhqfuZkTHsGaMVX1pSQ3NdNu/hFwB3A7y3stLq6qLyT5EvBYktuBy4D3Alcn+THgw8DXx1jlx4D/CnwH8H7H9mramBlpfOZGGp+5mR+p8mihJEmSJLXBIYKSJEmS1BKHCOqwkrwW+Lcrnv5sVf1IH/VIQ2dmpPGZG2l85maYHCIoSZIkSS1xiKAkSZIktcQGS5IkSZJaYoMlSZIkSS2xwZIkSZKklvx/KEqj1Ega4tgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 864x216 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg=sns.FacetGrid(data,col=\"day\",hue=\"sex\")\n",
    "fg.map(plt.bar,\"total_bill\",\"tip\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x201bdc14a00>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fg=sns.FacetGrid(data,col=\"time\",hue=\"day\",palette=\"flare\")\n",
    "fg.map(plt.bar,\"total_bill\",\"tip\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.7 ('base')",
   "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": "3.9.7"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
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  }
 },
 "nbformat": 4,
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}