06_csvp.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Colégio São Vicente de Paulo "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import IPython\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "CO_MUN = 3304557 # Rio de Janeiro\n",
    "CO_UF_RIO = 33 # RJ\n",
    "CO_SAO_VICENTE = 33063648"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_turmas_rio = pd.read_feather('dados/turmas_rio.feather')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## EJA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "eja_etapas = set(range(43, 75))\n",
    "# ((65,67,69,70,71,72,73, 74) + # etapas 2015 em diante\n",
    "#               (43, 44, 45, 46, 47, 48, 51, 58, 60, 61, 62, 63, 65, ) +# eja 2014 para trás\n",
    "#               (49, 50, 51, 52, 53, 54, 55, 56, 57, 58) #achei em 2007\n",
    "#              )\n",
    "\n",
    "df_eja = df_turmas_rio.query('id_etapa.isin(@eja_etapas)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id_escola  ano \n",
       "33000018   2009     85.0\n",
       "33000026   2007    101.0\n",
       "           2008    193.0\n",
       "           2009    181.0\n",
       "           2010    254.0\n",
       "                   ...  \n",
       "33552223   2017     18.0\n",
       "           2018     15.0\n",
       "33556245   2010    162.0\n",
       "           2011    146.0\n",
       "           2012    104.0\n",
       "Name: num_matriculas, Length: 22189, dtype: float64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eja_escola = df_eja.groupby(['id_escola', 'ano'])['num_matriculas'].sum()\n",
    "df_eja_escola"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([233., 219., 187., 193., 169., 232., 231., 198., 181., 178., 200.,\n",
       "       181.])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eja_escola[CO_SAO_VICENTE].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#ax = df_eja_escola[CO_SAO_VICENTE].plot.bar()\n",
    "plt.style.use('seaborn')\n",
    "bars = plt.bar(df_eja_escola[CO_SAO_VICENTE].index, \n",
    "               df_eja_escola[CO_SAO_VICENTE].values,\n",
    "               color='lightslategray')\n",
    "plt.xticks(df_eja_escola[CO_SAO_VICENTE].index, alpha=.6)\n",
    "plt.yticks(alpha=.6)\n",
    "plt.box(False)\n",
    "plt.gca().set_title('CSVP - Nº alunos EJA ', va=\"bottom\", ha=\"left\", x=0.04, y=1.08, size=24)\n",
    "plt.tick_params(labelleft=False)\n",
    "\n",
    "\n",
    "def autolabel(rects):\n",
    "    \"\"\"\n",
    "    Attach a text label above each bar displaying its height\n",
    "    \"\"\"\n",
    "    for rect in rects:\n",
    "        height = rect.get_height()\n",
    "        plt.text(rect.get_x() + rect.get_width()/2., 1.02\n",
    "                 *height,\n",
    "                '%d' % int(height),\n",
    "                ha='center', va='bottom',fontsize=14)\n",
    "autolabel(bars)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>num_turmas</th>\n",
       "      <th>total_matriculas</th>\n",
       "      <th>rank</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ano</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>9</td>\n",
       "      <td>233</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>10</td>\n",
       "      <td>219</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>10</td>\n",
       "      <td>187</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>10</td>\n",
       "      <td>193</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>10</td>\n",
       "      <td>169</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>11</td>\n",
       "      <td>232</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>13</td>\n",
       "      <td>231</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>13</td>\n",
       "      <td>198</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>13</td>\n",
       "      <td>181</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>13</td>\n",
       "      <td>178</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>13</td>\n",
       "      <td>200</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>13</td>\n",
       "      <td>181</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      num_turmas  total_matriculas  rank\n",
       "ano                                     \n",
       "2007           9               233    12\n",
       "2008          10               219     9\n",
       "2009          10               187     5\n",
       "2010          10               193     6\n",
       "2011          10               169     1\n",
       "2012          11               232    11\n",
       "2013          13               231    10\n",
       "2014          13               198     7\n",
       "2015          13               181     3\n",
       "2016          13               178     2\n",
       "2017          13               200     8\n",
       "2018          13               181     3"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_eja_svp = df_eja[df_eja.id_escola==CO_SAO_VICENTE].groupby(['id_escola', 'ano']).agg(num_turmas=('num_matriculas', 'count'), total_matriculas=('num_matriculas', 'sum'))\n",
    "df_eja_svp['rank'] = df_eja_svp.total_matriculas.rank(method=\"min\").astype('int')\n",
    "df_eja_svp.index = df_eja_svp.index.droplevel(0)\n",
    "df_eja_svp"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Alunos no Ensino Médio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "em_etapas = range(25, 39) #são vicente deveria ter só 25-27\n",
    "df_medio = df_turmas_rio.query('id_etapa.isin(@em_etapas) and id_escola==@CO_SAO_VICENTE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>index</th>\n",
       "      <th>ano</th>\n",
       "      <th>id_escola</th>\n",
       "      <th>id_etapa</th>\n",
       "      <th>id_municipio</th>\n",
       "      <th>id_uf</th>\n",
       "      <th>num_matriculas</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>31884</th>\n",
       "      <td>247979</td>\n",
       "      <td>2007</td>\n",
       "      <td>33063648</td>\n",
       "      <td>26.0</td>\n",
       "      <td>3304557</td>\n",
       "      <td>33</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31961</th>\n",
       "      <td>248860</td>\n",
       "      <td>2007</td>\n",
       "      <td>33063648</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3304557</td>\n",
       "      <td>33</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32041</th>\n",
       "      <td>249783</td>\n",
       "      <td>2007</td>\n",
       "      <td>33063648</td>\n",
       "      <td>26.0</td>\n",
       "      <td>3304557</td>\n",
       "      <td>33</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42641</th>\n",
       "      <td>358067</td>\n",
       "      <td>2007</td>\n",
       "      <td>33063648</td>\n",
       "      <td>25.0</td>\n",
       "      <td>3304557</td>\n",
       "      <td>33</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42643</th>\n",
       "      <td>358070</td>\n",
       "      <td>2007</td>\n",
       "      <td>33063648</td>\n",
       "      <td>25.0</td>\n",
       "      <td>3304557</td>\n",
       "      <td>33</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        index   ano  id_escola  id_etapa  id_municipio id_uf  num_matriculas\n",
       "31884  247979  2007   33063648      26.0       3304557    33              43\n",
       "31961  248860  2007   33063648      27.0       3304557    33              44\n",
       "32041  249783  2007   33063648      26.0       3304557    33              44\n",
       "42641  358067  2007   33063648      25.0       3304557    33              34\n",
       "42643  358070  2007   33063648      25.0       3304557    33              32"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_medio.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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</th>\n",
       "      <th>no_turmas</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ano</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>357.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>369.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>361.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>377.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>353.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>343.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>355.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>382.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>369.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>349.0</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>333.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>338.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      total  no_turmas\n",
       "ano                   \n",
       "2007  357.0         10\n",
       "2008  369.0         10\n",
       "2009  361.0         10\n",
       "2010  377.0         10\n",
       "2011  353.0         10\n",
       "2012  343.0         10\n",
       "2013  355.0         10\n",
       "2014  382.0         10\n",
       "2015  369.0         10\n",
       "2016  349.0         11\n",
       "2017  333.0         10\n",
       "2018  338.0         10"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_medio_por_ano = df_medio.groupby('ano').agg(total=('num_matriculas', 'sum'), no_turmas=('index', 'count'))\n",
    "df_medio_por_ano"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_medio_por_ano.plot.bar(y='total');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = df_medio.groupby(['ano','id_etapa'])['num_matriculas'].sum()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 576x396 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.set_cmap(\"Pastel2\");\n",
    "df = df1.unstack()\n",
    "df.columns=['1º ano','2º ano','3º ano',]\n",
    "axes = df.plot.bar(subplots=True, sharey=True);\n",
    "for i in axes:\n",
    "    i.legend().set_visible(False);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "turmas = [(i+2, df.loc[i, '1º'], df.loc[i+1, '2º'],df.loc[i+2, '3º'],) for i in range(2007,2017)]\n",
    "df_turmas = pd.DataFrame(data=turmas, columns=['turma', '1º','2º','3º'])    \n",
    "df_turmas.set_index('turma', inplace=True)\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "df_turmas.T.plot.line(cmap=plt.cm.Greens);\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "ax = df_turmas.T.plot.line(cmap=plt.cm.Greens, logy=True);\n",
    "plt.box(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>turma</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>2014</th>\n",
       "      <th>2015</th>\n",
       "      <th>2016</th>\n",
       "      <th>2017</th>\n",
       "      <th>2018</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1º</th>\n",
       "      <td>-122</td>\n",
       "      <td>-113</td>\n",
       "      <td>-120</td>\n",
       "      <td>-110</td>\n",
       "      <td>-127</td>\n",
       "      <td>-120</td>\n",
       "      <td>-114</td>\n",
       "      <td>-101</td>\n",
       "      <td>-113</td>\n",
       "      <td>119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2º</th>\n",
       "      <td>107</td>\n",
       "      <td>127</td>\n",
       "      <td>123</td>\n",
       "      <td>114</td>\n",
       "      <td>113</td>\n",
       "      <td>118</td>\n",
       "      <td>123</td>\n",
       "      <td>124</td>\n",
       "      <td>-125</td>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3º</th>\n",
       "      <td>98</td>\n",
       "      <td>108</td>\n",
       "      <td>110</td>\n",
       "      <td>94</td>\n",
       "      <td>95</td>\n",
       "      <td>104</td>\n",
       "      <td>102</td>\n",
       "      <td>99</td>\n",
       "      <td>109</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "turma  2009  2010  2011  2012  2013  2014  2015  2016  2017  2018\n",
       "1º     -122  -113  -120  -110  -127  -120  -114  -101  -113   119\n",
       "2º      107   127   123   114   113   118   123   124  -125   103\n",
       "3º       98   108   110    94    95   104   102    99   109    91"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_turmas.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_turmas_pct = df_turmas.T/df_turmas.iloc[:, 0] * 100\n",
    "ax = df_turmas_pct.plot(cmap=plt.cm.Greens);\n",
    "plt.tick_params(labelleft=False, labelright=True )\n",
    "plt.tick_params(axis=\"x\", grid_alpha=0)\n",
    "plt.tick_params(axis=\"y\", grid_alpha=0.3)\n",
    "plt.box(False)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(50.0, 85.0)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax=df_turmas_pct.loc[\"3º\"].plot.line();\n",
    "ax.set_ylim(50,85)\n"
   ]
  }
 ],
 "metadata": {
  "file_extension": ".py",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.11"
  },
  "mimetype": "text/x-python",
  "name": "python",
  "npconvert_exporter": "python",
  "pygments_lexer": "ipython3",
  "version": 3
 },
 "nbformat": 4,
 "nbformat_minor": 4
}