dados escola- Exemplo Subplots Medium.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    .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>school</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>address</th>\n",
       "      <th>famsize</th>\n",
       "      <th>Pstatus</th>\n",
       "      <th>Medu</th>\n",
       "      <th>Fedu</th>\n",
       "      <th>Mjob</th>\n",
       "      <th>Fjob</th>\n",
       "      <th>...</th>\n",
       "      <th>famrel</th>\n",
       "      <th>freetime</th>\n",
       "      <th>goout</th>\n",
       "      <th>Dalc</th>\n",
       "      <th>Walc</th>\n",
       "      <th>health</th>\n",
       "      <th>absences</th>\n",
       "      <th>G1</th>\n",
       "      <th>G2</th>\n",
       "      <th>G3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>18</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>A</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>at_home</td>\n",
       "      <td>teacher</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>17</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>LE3</td>\n",
       "      <td>T</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>at_home</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>health</td>\n",
       "      <td>services</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>16</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>other</td>\n",
       "      <td>other</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  school sex  age address famsize Pstatus  Medu  Fedu     Mjob      Fjob  ...  \\\n",
       "0     GP   F   18       U     GT3       A     4     4  at_home   teacher  ...   \n",
       "1     GP   F   17       U     GT3       T     1     1  at_home     other  ...   \n",
       "2     GP   F   15       U     LE3       T     1     1  at_home     other  ...   \n",
       "3     GP   F   15       U     GT3       T     4     2   health  services  ...   \n",
       "4     GP   F   16       U     GT3       T     3     3    other     other  ...   \n",
       "\n",
       "  famrel freetime  goout  Dalc  Walc health absences  G1  G2  G3  \n",
       "0      4        3      4     1     1      3        6   5   6   6  \n",
       "1      5        3      3     1     1      3        4   5   5   6  \n",
       "2      4        3      2     2     3      3       10   7   8  10  \n",
       "3      3        2      2     1     1      5        2  15  14  15  \n",
       "4      4        3      2     1     2      5        4   6  10  10  \n",
       "\n",
       "[5 rows x 33 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "df = pd.read_csv('student-mat.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\nayan\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1296x1080 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "#definindo o tamanho das figuras\n",
    "fig = plt.figure(figsize=(18, 15))\n",
    "\n",
    "#---------------------------------------------------------------\n",
    "# Gráfico 1 - Barras de Count\n",
    "ax1= fig.add_subplot(221)\n",
    "sns.countplot(df['G3'])\n",
    "ax1.tick_params(axis='x', labelsize=14)\n",
    "ax1.tick_params(axis='y', labelsize=14)\n",
    "\n",
    "#---------------------------------------------------------------\n",
    "# Gráfico 2 - Boxplot de Reason\n",
    "ax2 = fig.add_subplot(222)\n",
    "sns.boxplot(x=\"reason\", y='G3', data=df)\n",
    "ax2.tick_params(axis='x', labelsize=14)\n",
    "ax2.tick_params(axis='y', labelsize=14)\n",
    "\n",
    "#---------------------------------------------------------------\n",
    "# Gráfico 3 - Boxplot de Absences\n",
    "ax3 = fig.add_subplot(223)\n",
    "sns.boxplot(x=\"absences\", y='G3', data=df)\n",
    "ax3.tick_params(axis='x', labelsize=14)\n",
    "ax3.tick_params(axis='y', labelsize=14)\n",
    "ax3.set_xlim(-1, 25) #Definindo intervalo do eixo X\n",
    "ax3.set_ylim(-1, 25) #Definindo intervalo do eixo Y\n",
    "ax3.set_xlabel('Faltas', fontsize=15) # Adicionando rótulos\n",
    "ax3.set_ylabel('Notas dos alunos - G3', fontsize=15)  # Adicionando rótulos\n",
    "\n",
    "#---------------------------------------------------------------\n",
    "# Gráfico 4 - Boxplot violino de Reason\n",
    "ax4 = fig.add_subplot(224)\n",
    "sns.violinplot(x = 'G3', y = 'reason', data=df, palette=\"Set3\", bw=.2, cut=1, split=True, linewidth=1)\n",
    "ax4.tick_params(axis='x', labelsize=14)\n",
    "ax4.tick_params(axis='y', labelsize=14)\n",
    "\n",
    "#---------------------------------------------------------------\n",
    "#espaço entre os gráficos\n",
    "plt.subplots_adjust(wspace=0.3,hspace=0.1)\n",
    "\n",
    "#salvando a figura\n",
    "plt.savefig('text1.jpeg',transparent = False,bbox_inches='tight', dpi=500)"
   ]
  },
  {
   "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}