Formas de Seleções.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cc2f268f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "46934604",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = [(1, 2, 3, 4),\n",
    "        (5, 6, 7, 8),\n",
    "        (8, 10, 11, 12),\n",
    "        (13, 14, 15, 16)]\n",
    "df = pd.DataFrame(data, 'l1 l2 l3 l4'.split(), 'c1 c2 c3 c4'.split())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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   "outputs": [
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       "      <th>c4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>l1</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>l2</th>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>l3</th>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>l4</th>\n",
       "      <td>13</td>\n",
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       "      <td>16</td>\n",
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      "text/plain": [
       "    c1  c2  c3  c4\n",
       "l1   1   2   3   4\n",
       "l2   5   6   7   8\n",
       "l3   8  10  11  12\n",
       "l4  13  14  15  16"
      ]
     },
     "execution_count": 3,
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    "df"
   ]
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   "execution_count": 5,
   "id": "958e8b6f",
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "l1     1\n",
       "l2     5\n",
       "l3     8\n",
       "l4    13\n",
       "Name: c1, dtype: int64"
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     },
     "execution_count": 5,
     "metadata": {},
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   ],
   "source": [
    "df['c1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "13ca673b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df['c1'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5312cfbd",
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      "text/plain": [
       "    c3  c1\n",
       "l1   3   1\n",
       "l2   7   5\n",
       "l3  11   8\n",
       "l4  15  13"
      ]
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     "execution_count": 7,
     "metadata": {},
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   ],
   "source": [
    "df[['c3', 'c1']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bbf7a2ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df[['c3', 'c1']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8c858fad",
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       "    c1  c2  c3  c4\n",
       "l2   5   6   7   8\n",
       "l3   8  10  11  12"
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   "source": [
    "df[1:3]"
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  },
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   "cell_type": "code",
   "execution_count": 12,
   "id": "5531d7ae",
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   "outputs": [
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       "    c3  c1\n",
       "l2   7   5\n",
       "l3  11   8\n",
       "l4  15  13"
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     "execution_count": 12,
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   "source": [
    "df[1:][['c3', 'c1']]"
   ]
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   "cell_type": "code",
   "execution_count": 16,
   "id": "14e2c753",
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       "    <tr>\n",
       "      <th>l3</th>\n",
       "      <td>8</td>\n",
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      "text/plain": [
       "    c1  c2  c3  c4\n",
       "l3   8  10  11  12"
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     "execution_count": 16,
     "metadata": {},
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   "source": [
    "df.loc[['l3']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "00ae0175",
   "metadata": {},
   "outputs": [
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>l3</th>\n",
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       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>l2</th>\n",
       "      <td>5</td>\n",
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      "text/plain": [
       "    c1  c2  c3  c4\n",
       "l3   8  10  11  12\n",
       "l2   5   6   7   8"
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     "execution_count": 17,
     "metadata": {},
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   "source": [
    "df.loc[['l3' ,'l2']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c165c6f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[0,1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e960bbba",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>c4</th>\n",
       "      <th>c1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>l3</th>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>l1</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
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      "text/plain": [
       "    c4  c1\n",
       "l3  12   8\n",
       "l1   4   1"
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     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[['l3', 'l1'], ['c4','c1']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7f424c61",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>c4</th>\n",
       "      <th>c1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>l3</th>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
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       "    <tr>\n",
       "      <th>l1</th>\n",
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      "text/plain": [
       "    c4  c1\n",
       "l3  12   8\n",
       "l1   4   1"
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     "execution_count": 20,
     "metadata": {},
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   ],
   "source": [
    "df.iloc[[2,0], [3,0]]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb2bc184",
   "metadata": {},
   "source": [
    "# Exercício"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ba6710b1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "alunos = pd.DataFrame({'Nome': ['Ary', 'Cátia', 'Denis', 'Beto', 'Bruna', 'Dara', 'Carlos', 'Alice'], \n",
    "                        'Sexo': ['M', 'F', 'M', 'M', 'F', 'F', 'M', 'F'], \n",
    "                        'Idade': [15, 27, 56, 32, 42, 21, 19, 35], \n",
    "                        'Notas': [7.5, 2.5, 5.0, 10, 8.2, 7, 6, 5.6], \n",
    "                        'Aprovado': [True, False, False, True, True, True, False, False]}, \n",
    "                        columns = ['Nome', 'Idade', 'Sexo', 'Notas', 'Aprovado'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e469c8cc",
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Nome</th>\n",
       "      <th>Idade</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Notas</th>\n",
       "      <th>Aprovado</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ary</td>\n",
       "      <td>15</td>\n",
       "      <td>M</td>\n",
       "      <td>7.5</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cátia</td>\n",
       "      <td>27</td>\n",
       "      <td>F</td>\n",
       "      <td>2.5</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Denis</td>\n",
       "      <td>56</td>\n",
       "      <td>M</td>\n",
       "      <td>5.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Beto</td>\n",
       "      <td>32</td>\n",
       "      <td>M</td>\n",
       "      <td>10.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bruna</td>\n",
       "      <td>42</td>\n",
       "      <td>F</td>\n",
       "      <td>8.2</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dara</td>\n",
       "      <td>21</td>\n",
       "      <td>F</td>\n",
       "      <td>7.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Carlos</td>\n",
       "      <td>19</td>\n",
       "      <td>M</td>\n",
       "      <td>6.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Alice</td>\n",
       "      <td>35</td>\n",
       "      <td>F</td>\n",
       "      <td>5.6</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Nome  Idade Sexo  Notas  Aprovado\n",
       "0     Ary     15    M    7.5      True\n",
       "1   Cátia     27    F    2.5     False\n",
       "2   Denis     56    M    5.0     False\n",
       "3    Beto     32    M   10.0      True\n",
       "4   Bruna     42    F    8.2      True\n",
       "5    Dara     21    F    7.0      True\n",
       "6  Carlos     19    M    6.0     False\n",
       "7   Alice     35    F    5.6     False"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alunos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "5efe0c39",
   "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>Nome</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Idade</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Carlos</td>\n",
       "      <td>M</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cátia</td>\n",
       "      <td>F</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Alice</td>\n",
       "      <td>F</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Denis</td>\n",
       "      <td>M</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Nome Sexo  Idade\n",
       "6  Carlos    M     19\n",
       "1   Cátia    F     27\n",
       "7   Alice    F     35\n",
       "2   Denis    M     56"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Crie um DataFrame somente com os alunos reprovados e mantenha neste DataFrame apenas as colunas Nome, Sexo e Idade, nesta ordem.\n",
    "selecao = alunos['Aprovado'] == False\n",
    "reprovados = alunos.loc[selecao,['Nome', 'Sexo', 'Idade']]\n",
    "reprovados\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "aaa97c06",
   "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>Nome</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Idade</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cátia</td>\n",
       "      <td>F</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Denis</td>\n",
       "      <td>M</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Carlos</td>\n",
       "      <td>M</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Alice</td>\n",
       "      <td>F</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Nome Sexo  Idade\n",
       "1   Cátia    F     27\n",
       "2   Denis    M     56\n",
       "6  Carlos    M     19\n",
       "7   Alice    F     35"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "selecao = alunos['Aprovado'] == False\n",
    "reprovados = alunos[['Nome', 'Sexo', 'Idade']][selecao]\n",
    "reprovados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "1ba72aa9",
   "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>Nome</th>\n",
       "      <th>Idade</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Notas</th>\n",
       "      <th>Aprovado</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ary</td>\n",
       "      <td>15</td>\n",
       "      <td>M</td>\n",
       "      <td>7.5</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Carlos</td>\n",
       "      <td>19</td>\n",
       "      <td>M</td>\n",
       "      <td>6.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dara</td>\n",
       "      <td>21</td>\n",
       "      <td>F</td>\n",
       "      <td>7.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Nome  Idade Sexo  Notas  Aprovado\n",
       "0     Ary     15    M    7.5      True\n",
       "6  Carlos     19    M    6.0     False\n",
       "5    Dara     21    F    7.0      True"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Crie uma visualização com os três alunos mais novos.\n",
    "alunos.sort_values(by = ['Idade'], inplace = True)\n",
    "alunos.iloc[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5211f45e",
   "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>Nome</th>\n",
       "      <th>Sexo</th>\n",
       "      <th>Idade</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ary</td>\n",
       "      <td>M</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dara</td>\n",
       "      <td>F</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Beto</td>\n",
       "      <td>M</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bruna</td>\n",
       "      <td>F</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Nome Sexo  Idade\n",
       "0    Ary    M     15\n",
       "5   Dara    F     21\n",
       "3   Beto    M     32\n",
       "4  Bruna    F     42"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "selecao = alunos['Aprovado'] == True\n",
    "reprovados = alunos[['Nome', 'Sexo', 'Idade']][selecao]\n",
    "reprovados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "78c4708d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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