14_StylingOfPlot_Seaborn.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Styling can be done by:\n",
    "\n",
    "- Seaborn Figure Styles\n",
    "- Removing axes spines\n",
    "- Scale and Context"
   ]
  },
  {
   "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\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=sns.load_dataset(\"Tips\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set_style(\"white\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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A4QgBABiOEACA4QgBABiOEACA4QgBABiOEACA4QgBABiOEACA4Sz7zuKOjg6tWrVKzc3Nam9v19KlS5WYmKi8vDzZbDaNGzdO69at06BBtAkArGRZCKqrqzV8+HBt3rxZra2t+uY3v6kJEyYoNzdXaWlpys/PV01NjWbPnm3VSAAAWXho6Mknn9T3v//94HJERIQaGxuVmpoqSUpPT9fBgwetGgcAcJNlIbDb7YqJiZHX69Vzzz2n3NxcBQIB2Wy24P1tbW1WjQMAuMnSA/ItLS1auHChnn76aWVmZvZ4P8Dn8ykuLs7KcQAAsjAEV69e1be//W298MILmjdvniRp4sSJqqurkyTV1tYqJSXFqnEAADdZFoLi4mJdv35dr7zyitxut9xut3Jzc1VUVKT58+ero6NDGRkZVo0DALjJsk8NrVmzRmvWrPnc+rKyMqtGAADcBh/aBwDDEQIAMBwhAADDEQIAMBwhAADDEQIAMBwhAADDEQIAMBwhAADDEQIAMBwhAADDEQIAMBwhAADDEQIAMBwhAADDEQIAMBwhAADDEQIAMJxlX1V5J93d3SooKNCHH36oqKgo/fCHP9SYMWPCPRYAGCPsewT79u1Te3u7fvvb3+r555/Xpk2bwj0SABgl7CGor6/XjBkzJEmTJk3SBx98EOaJAMAsYT805PV6FRMTE1yOiIhQZ2enIiNvP1pzc7OysrK+8HY5+ITPysr6fbhHuGlcuAfA/5q78Devubn5jveFPQQxMTHy+XzB5e7u7jtGQJLq6uqsGAsAjBH2Q0NTpkxRbW2tJOno0aNKSkoK80QAYBZbIBAIhHOAf39q6OTJkwoEAvrRj36khx9+OJwjAYBRwh4CAEB4hf3QEAAgvAgBABiOEACA4QjBPe7ChQuaMmWK3G538N/LL798V7fhdrvV1NR0V58T5qqrq9P48eO1Z8+eHuszMzOVl5d325+pqqrSSy+9ZMV4Rgr7eQT44hITE+XxeMI9BtBnCQkJ2r17t+bOnStJ+vDDD3Xjxo0wT2UuQjBAbdmyRYcPH1YgEFBOTo7mzJkjt9ut8ePH69SpUxo6dKhSUlL0zjvv6Pr169q2bZsiIiK0evVqtbW1qbW1Vc8884xcLlfwOdva2rR69Wq1trZKktasWaPx48eH6yXiHjZhwgT97W9/0/Xr1xUXF6fq6mplZmaqpaVFZWVlevPNN9XZ2anY2FgVFRX1+FmPx6Pdu3fLZrNp7ty5WrhwYZhexcDBoaEB4PTp0z0ODVVXV+vChQuqqKjQq6++quLiYl2/fl2SlJycrO3bt6u9vV333Xeffv3rXysxMVGHDx/W2bNn9dRTT2nbtm0qLi5WaWlpj+0UFxdr2rRp8ng8Wr9+vQoKCqx/sRgwZs+erT/+8Y8KBAJqaGjQ5MmT1d3drY8//lilpaUqLy9XZ2en3n///eDPnD59Wnv27FF5ebnKy8u1b98+nTlzJoyvYmBgj2AA+OyhoZKSEjU2NsrtdkuSOjs7dfHiRUnSl7/8ZUlSXFycEhMTg7f9fr/uv/9+bd++XW+++aZiYmLU2dnZYzsnT57UoUOHtHfvXkkKxgX4b2RmZqqgoECjR49WSkqKJGnQoEEaPHiwVqxYoaFDh+rSpUs9fg9PnjypixcvKicnR5L0z3/+U+fOnVNCQkI4XsKAQQgGoISEBKWlpWn9+vXq7u7WK6+8ovj4+P/4c9u2bdOkSZPkcrl06NAhHThw4HPP+41vfEOZmZm6du2aduzYEaqXAAOMHj1an3zyiTwej1asWKHz58/L6/Vq37592rFjh27cuKGsrCzdes5rQkKCEhMT9ctf/lI2m02lpaVcluYuIAQD0KxZs/Tee+/J5XLpk08+0de//vUeV3i9k5kzZ6qgoEC7du3S8OHDFRERofb29uD9S5Ys0erVq1VZWSmv16tly5aF8mXAAHPnztUbb7yhsWPH6vz584qIiNCQIUOUlZWlqKgojRw5Un//+9+Dj58wYYIef/xxLViwQO3t7UpOTtaXvvSlML6CgYFLTACA4XizGAAMRwgAwHCEAAAMRwgAwHCEAAAMRwgAwHCEAAAMRwiAfvjoo4+UnZ2tb33rW1q0aJEuX76sLVu2KDs7W/Pnz9fevXvV2dmp7Oxsvf3227p69aqeeuoptbS0hHt04I44oQzoh9dee01nzpxRXl6e/vznP+v06dM6cuSIfvKTn8jv98vpdMrj8ej69etasmSJRo4cqZycHD3xxBPhHh24Iy4xAfTDvHnzVFJSosWLFys2NlYTJky47QX+JkyYoClTpujo0aNKT08P89RA7zg0BPRDTU2Npk6dqu3bt+vJJ59UVVWV0tLS5PF4tH37ds2ZM0fx8fE6evSoTp06pccee0zbtm0L99hArzg0BPTDuXPn9MILLygiIkKDBg1SXl6edu3apffffz94gb9FixYpOztbL7/8sh588EE988wz2rBhgx599NFwjw/cFiEAAMNxaAgADEcIAMBwhAAADEcIAMBwhAAADEcIAMBwhAAADPf/lcYk8VhMbcgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=\"sex\",data=data)\n",
    "plt.show() # To remove the adress\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 108x100.8 with 0 Axes>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 108x100.8 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.despine(left= True) # To remove the axis line\n",
    "sns.countplot(x=\"sex\",data=data)\n",
    "\n",
    "plt.figure(figsize=(1.5,1.4)) #To change the figure size\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=\"sex\",data=data)\n",
    "\n",
    "sns.set_context(\"poster\",font_scale=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=\"sex\",data=data)\n",
    "\n",
    "sns.set_context(\"paper\",font_scale=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=\"sex\",data=data)\n",
    "\n",
    "sns.set_context(\"notebook\",font_scale=0.5)"
   ]
  },
  {
   "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": {
    "hash": "8de2fd29472d8520918489d2f7698684b73d156be72bb6a0af57d9dbbf4a217c"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}