Imposto de renda.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Imposto de Renda"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ano = '2020'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
    "import ipywidgets as widget\n",
    "import locale\n",
    "locale.setlocale(locale.LC_ALL, 'pt_BR.utf8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set(style=\"white\")\n",
    "\n",
    "plt.rcParams['axes.titlesize'] = 20\n",
    "plt.rcParams['axes.labelsize'] = 20\n",
    "plt.rcParams['axes.linewidth'] = 3\n",
    "plt.rcParams['axes.labelpad'] = 15\n",
    "\n",
    "plt.rcParams['xtick.labelsize'] = 16\n",
    "plt.rcParams['xtick.major.size'] = 8\n",
    "plt.rcParams['xtick.major.width'] = 3\n",
    "\n",
    "plt.rcParams['ytick.labelsize'] = 16\n",
    "plt.rcParams['ytick.major.size'] = 8\n",
    "plt.rcParams['ytick.major.width'] = 3\n",
    "\n",
    "plt.rcParams['legend.fontsize'] = 14\n",
    "plt.rcParams['legend.markerscale'] = 1\n",
    "\n",
    "plt.rcParams['lines.markersize'] = 9\n",
    "plt.rcParams['lines.linewidth'] = 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lê os datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ativos = pd.read_csv('Dataset_ações_' + ano + '.csv')\n",
    "df_ativos['Data'] = pd.to_datetime(df_ativos['Data'], format=\"%Y/%m/%d\")\n",
    "df_ativos.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_proventos = pd.read_excel('Proventos - ' + ano + '.xls')\n",
    "df_proventos.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Funções"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def carteira_de_acoes_atual(df, offline = False):\n",
    "    \n",
    "    carteira = pd.DataFrame(columns=df.columns)\n",
    "\n",
    "    cods = df['Código'].unique()\n",
    "    \n",
    "    for cod in cods:\n",
    "        \n",
    "        last_idx = df[df[['Código']] == cod].last_valid_index() \n",
    "        \n",
    "        carteira = carteira.append(df.loc[last_idx], ignore_index=True)\n",
    "\n",
    "    carteira = carteira[carteira['Quantidade Atual'] != 0.0]\n",
    "    \n",
    "    carteira.sort_values(by='Data', ascending=True, inplace=True)\n",
    "    \n",
    "    drop_columns = ['Especificação', 'Tipo de Execução', 'Quantidade de C/V', 'Mercado', 'Preço de C/V']\n",
    "    \n",
    "    carteira.drop(drop_columns, inplace=True, axis=1)\n",
    "    \n",
    "    carteira.rename(columns={'Preço Atual': '<Preço>'}, inplace=True)\n",
    "    \n",
    "    carteira.reset_index(drop=True, inplace=True)\n",
    "    \n",
    "    carteira['<Valor Total>'] = carteira['Quantidade Atual'] * carteira['<Preço>']\n",
    "    \n",
    "    if offline == False:\n",
    "    \n",
    "        carteira['Preço Atual'] = get_market_values(carteira['Código'])\n",
    "\n",
    "        carteira['Valor Total Atual'] = carteira['Quantidade Atual'] * carteira['Preço Atual']\n",
    "\n",
    "        carteira['L/P'] = carteira['Quantidade Atual'] * ( carteira['Preço Atual'] - carteira['<Preço>'] )\n",
    "\n",
    "        carteira['L/P (%)'] = (carteira['L/P'] / (carteira['<Preço>'] * carteira['Quantidade Atual'])) * 100.0\n",
    "\n",
    "        carteira['L/P'] = carteira['L/P'].round(2)\n",
    "\n",
    "        carteira['L/P (%)'] = carteira['L/P (%)'].round(2) \n",
    "\n",
    "        carteira['<Preço>'] = carteira['<Preço>'].round(2)\n",
    "\n",
    "\n",
    "        cols_ordenadas = ['Data', 'Código', 'Quantidade Atual', '<Preço>', '<Valor Total>',\n",
    "                          'Preço Atual', 'Valor Total Atual', 'L/P', 'L/P (%)', 'Corretora']\n",
    "\n",
    "    elif offline == True:\n",
    "        \n",
    "        cols_ordenadas = ['Data', 'Código', 'Quantidade Atual', '<Preço>', '<Valor Total>', 'Corretora']\n",
    "        \n",
    "    return carteira[cols_ordenadas]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Vendas acima de 20k"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Meses com venda acima de 20k tem que pagar IR no próximo mês de 15% para swing trade."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ativos['Mês'] = df_ativos['Data'].dt.strftime('%B')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_vendas = df_ativos.groupby(['Mês', 'Tipo de Execução'], sort=False).sum().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_vendas = df_vendas[df_vendas['Tipo de Execução'] == 'V']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=[15, 9])\n",
    "\n",
    "palette_c = ['b' if val < 20000 else 'r' for val in df_vendas['Valor Total']]\n",
    "more_20k = [ '< 20K' if val < 20000 else '> 20' for val in df_vendas['Valor Total'] ]\n",
    "\n",
    "sns.barplot(data = df_vendas, x = 'Mês', hue=more_20k, y = 'Valor Total', palette=palette_c, ci=None)\n",
    "\n",
    "plt.ylabel('Vendas (R$)')\n",
    "plt.title('Valor total das vendas no mês')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Declaração mensal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Declarar prejuízos para abatimentos em cobranças posteriores."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "lucro_mes = df_ativos.loc[(df_ativos['L/P'] != 0.0), ['Data', 'L/P']]\n",
    "lucro_mes['Mês'] = lucro_mes['Data'].dt.strftime('%b')\n",
    "lucro_mes = lucro_mes.groupby(['Mês'], sort=False).sum().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=[15, 9])\n",
    "\n",
    "df = lucro_mes\n",
    "\n",
    "palette_c = ['r' if c < 0.0 else 'b' for c in df['L/P']]\n",
    "\n",
    "g = sns.barplot(data = df, x = 'Mês', y = 'L/P', palette=palette_c)\n",
    "\n",
    "for index, row in df[['L/P']].reset_index().values:\n",
    "    g.text(index, row, np.round(row, 2), color='black', ha=\"center\", va='bottom',\n",
    "           fontsize='large', fontweight='bold')\n",
    "    \n",
    "plt.hlines(y=0, xmax=df.shape[0], xmin=-1)\n",
    "plt.ylabel('Lucro  (R$)')\n",
    "plt.xlabel('')\n",
    "plt.title('Lucro no ano')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print('Soma em meses com lucro: {0}'.format(lucro_mes.loc[lucro_mes['L/P'] > 0, 'L/P'].sum().round(4)))\n",
    "print('Soma em meses com prejuízo: {}'.format(lucro_mes.loc[lucro_mes['L/P'] < 0, 'L/P'].sum().round(4)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Proventos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def f(tipo, previsão):\n",
    "    df = df_proventos[df_proventos['Tipo'] == tipo]\n",
    "\n",
    "    mask_year = df['Previsão'].dt.strftime('%Y')  == previsão\n",
    "    mask_not_year = df['Previsão'].dt.strftime('%Y')  != previsão\n",
    "\n",
    "    print('\\nJá creditados em {0}:'.format(previsão))\n",
    "\n",
    "    display(df[mask_year])\n",
    "\n",
    "    print('\\nCrédito em transito:')\n",
    "    display(df[mask_not_year])\n",
    "\n",
    "interactive(f, tipo=['jcp', 'div'] , previsão=[ano])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Posições"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Zerada"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def f(corretora):\n",
    "\n",
    "    df = df_ativos[df_ativos['Corretora'] == corretora]\n",
    "\n",
    "    cods = df['Código'].unique()\n",
    "\n",
    "    index = []\n",
    "\n",
    "    for cod in cods:\n",
    "\n",
    "        qnt = df.loc[df['Código'] == cod, 'Quantidade Atual'].tail(1)\n",
    "\n",
    "        idx = qnt.index.values[0]\n",
    "\n",
    "        if qnt.values[0] == 0.0:\n",
    "\n",
    "            index.append(idx)\n",
    "\n",
    "    df = df_ativos.iloc[index, :].copy()\n",
    "\n",
    "    df.rename(columns={'Preço Atual': '<Preço>'}, inplace=True)\n",
    "    \n",
    "    df['<Valor Total>'] =  - df['Quantidade de C/V'] * df['<Preço>']\n",
    "    \n",
    "    df = df.sort_values('Data')\n",
    "    \n",
    "    df['Posição'] = 'Zerada'\n",
    "    \n",
    "    display(df[['Data', 'Código', 'Quantidade de C/V', '<Preço>', '<Valor Total>', 'Corretora', 'Posição']])\n",
    "\n",
    "interactive(f, corretora=df_ativos['Corretora'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Comprada"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def f(corretora):\n",
    "    \n",
    "    df = df_ativos[df_ativos['Corretora'] == corretora]\n",
    "    df = carteira_de_acoes_atual(df.copy(), offline=True)\n",
    "    df['Posição'] = 'Comprada'\n",
    "    display(df)\n",
    "    \n",
    "interactive(f, corretora=df_ativos['Corretora'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Movimentações por ativo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def f(ativo):\n",
    "    \n",
    "    display(df_ativos[df_ativos['Código'] == ativo].drop('Mês', axis=1))\n",
    "    \n",
    "interactive(f, ativo=df_ativos['Código'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Movimentação por corretora"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def f(corretora):\n",
    "    \n",
    "    display(df_ativos[df_ativos['Corretora'] == corretora].drop('Mês', axis=1))\n",
    "    \n",
    "interactive(f, corretora=df_ativos['Corretora'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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          "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>Data</th>\n      <th>Código</th>\n      <th>Mercado</th>\n      <th>Especificação</th>\n      <th>Tipo de Execução</th>\n      <th>Corretora</th>\n      <th>Quantidade de C/V</th>\n      <th>Valor Total</th>\n      <th>Preço de C/V</th>\n      <th>Preço Atual</th>\n      <th>L/P</th>\n      <th>Quantidade Atual</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2019-07-11</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>530.00</td>\n      <td>53.000000</td>\n      <td>53.000000</td>\n      <td>0.00</td>\n      <td>10.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2019-07-11</td>\n      <td>PETR4</td>\n      <td>Fracionário</td>\n      <td>PETROBRAS    PN      N2</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>17.0</td>\n      <td>478.89</td>\n      <td>28.170000</td>\n      <td>28.170000</td>\n      <td>0.00</td>\n      <td>17.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2019-07-11</td>\n      <td>RAIL3</td>\n      <td>Fracionário</td>\n      <td>RUMO S.A.    ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>20.0</td>\n      <td>443.40</td>\n      <td>22.170000</td>\n      <td>22.170000</td>\n      <td>0.00</td>\n      <td>20.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2019-07-11</td>\n      <td>VALE3</td>\n      <td>Fracionário</td>\n      <td>VALE         ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>520.00</td>\n      <td>52.000000</td>\n      <td>52.000000</td>\n      <td>0.00</td>\n      <td>10.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2019-07-19</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-10.0</td>\n      <td>487.00</td>\n      <td>48.700000</td>\n      <td>53.000000</td>\n      <td>-43.00</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>2019-08-01</td>\n      <td>ANIM3</td>\n      <td>Fracionário</td>\n      <td>ANIMA        ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>20.0</td>\n      <td>425.40</td>\n      <td>21.270000</td>\n      <td>21.270000</td>\n      <td>0.00</td>\n      <td>20.0</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>2019-08-01</td>\n      <td>B3SA3</td>\n      <td>Fracionário</td>\n      <td>B3           ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>430.70</td>\n      <td>43.070000</td>\n      <td>43.070000</td>\n      <td>0.00</td>\n      <td>10.0</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>2019-08-01</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>9.0</td>\n      <td>459.00</td>\n      <td>51.000000</td>\n      <td>51.000000</td>\n      <td>0.00</td>\n      <td>9.0</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>2019-08-01</td>\n      <td>JBSS3</td>\n      <td>Fracionário</td>\n      <td>JBS          ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>16.0</td>\n      <td>429.68</td>\n      <td>26.855000</td>\n      <td>26.855000</td>\n      <td>0.00</td>\n      <td>16.0</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>2019-08-01</td>\n      <td>LREN3</td>\n      <td>Fracionário</td>\n      <td>LOJAS RENNER ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>493.20</td>\n      <td>49.320000</td>\n      <td>49.320000</td>\n      <td>0.00</td>\n      <td>10.0</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>2019-08-01</td>\n      <td>MGLU3</td>\n      <td>Fracionário</td>\n      <td>MAGAZ LUIZA  ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>2.0</td>\n      <td>548.80</td>\n      <td>274.400000</td>\n      <td>274.400000</td>\n      <td>0.00</td>\n      <td>2.0</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>2019-08-01</td>\n      <td>MGLU3</td>\n      <td>Fracionário</td>\n      <td>MAGAZ LUIZA  ON      NM</td>\n      <td>DES</td>\n      <td>MODAL</td>\n      <td>14.0</td>\n      <td>8.00</td>\n      <td>0.125000</td>\n      <td>34.300000</td>\n      <td>0.00</td>\n      <td>16.0</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>2019-08-01</td>\n      <td>PCAR4</td>\n      <td>Fracionário</td>\n      <td>P.ACUCAR-CBD PN      N1</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>5.0</td>\n      <td>474.30</td>\n      <td>94.860000</td>\n      <td>94.860000</td>\n      <td>0.00</td>\n      <td>5.0</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>2019-08-01</td>\n      <td>RENT3</td>\n      <td>Fracionário</td>\n      <td>LOCALIZA     ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>11.0</td>\n      <td>488.18</td>\n      <td>44.380000</td>\n      <td>44.380000</td>\n      <td>0.00</td>\n      <td>11.0</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>2019-08-01</td>\n      <td>VALE3</td>\n      <td>Fracionário</td>\n      <td>VALE         ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>489.30</td>\n      <td>48.930000</td>\n      <td>50.465000</td>\n      <td>0.00</td>\n      <td>20.0</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>2019-08-01</td>\n      <td>VVAR3</td>\n      <td>Fracionário</td>\n      <td>VIAVAREJO    ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>60.0</td>\n      <td>493.80</td>\n      <td>8.230000</td>\n      <td>8.230000</td>\n      <td>0.00</td>\n      <td>60.0</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>2019-08-05</td>\n      <td>IRBR3</td>\n      <td>Fracionário</td>\n      <td>IRBBRASIL RE ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>5.0</td>\n      <td>457.50</td>\n      <td>91.500000</td>\n      <td>91.500000</td>\n      <td>0.00</td>\n      <td>5.0</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>2019-08-05</td>\n      <td>JBSS3</td>\n      <td>Fracionário</td>\n      <td>JBS          ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-16.0</td>\n      <td>413.51</td>\n      <td>25.844375</td>\n      <td>26.855000</td>\n      <td>-16.17</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>2019-08-07</td>\n      <td>PETR4</td>\n      <td>Fracionário</td>\n      <td>PETROBRAS    PN      N2</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-17.0</td>\n      <td>430.61</td>\n      <td>25.330000</td>\n      <td>28.170000</td>\n      <td>-48.28</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>2019-08-08</td>\n      <td>PETR4</td>\n      <td>Fracionário</td>\n      <td>PETROBRAS    PN      N2</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>20.0</td>\n      <td>522.52</td>\n      <td>26.126000</td>\n      <td>26.126000</td>\n      <td>0.00</td>\n      <td>20.0</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>2019-08-26</td>\n      <td>MGLU3</td>\n      <td>Fracionário</td>\n      <td>MAGAZ LUIZA  ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>337.50</td>\n      <td>33.750000</td>\n      <td>34.088462</td>\n      <td>0.00</td>\n      <td>26.0</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>2019-09-02</td>\n      <td>ANIM3</td>\n      <td>Fracionário</td>\n      <td>ANIMA        ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-20.0</td>\n      <td>416.20</td>\n      <td>20.810000</td>\n      <td>21.270000</td>\n      <td>-9.20</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>2019-09-02</td>\n      <td>B3SA3</td>\n      <td>Fracionário</td>\n      <td>B3           ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-10.0</td>\n      <td>442.70</td>\n      <td>44.270000</td>\n      <td>43.070000</td>\n      <td>12.00</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>2019-09-02</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-9.0</td>\n      <td>474.30</td>\n      <td>52.700000</td>\n      <td>51.000000</td>\n      <td>15.30</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>2019-09-02</td>\n      <td>IRBR3</td>\n      <td>Fracionário</td>\n      <td>IRBBRASIL RE ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-5.0</td>\n      <td>535.10</td>\n      <td>107.020000</td>\n      <td>91.500000</td>\n      <td>77.60</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>2019-09-02</td>\n      <td>LREN3</td>\n      <td>Fracionário</td>\n      <td>LOJAS RENNER ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-10.0</td>\n      <td>506.20</td>\n      <td>50.620000</td>\n      <td>49.320000</td>\n      <td>13.00</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>2019-09-02</td>\n      <td>PCAR4</td>\n      <td>Fracionário</td>\n      <td>P.ACUCAR-CBD PN      N1</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-5.0</td>\n      <td>431.55</td>\n      <td>86.310000</td>\n      <td>94.860000</td>\n      <td>-42.75</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>2019-09-02</td>\n      <td>RAIL3</td>\n      <td>Fracionário</td>\n      <td>RUMO S.A.    ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-20.0</td>\n      <td>456.40</td>\n      <td>22.820000</td>\n      <td>22.170000</td>\n      <td>13.00</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>2019-09-02</td>\n      <td>RENT3</td>\n      <td>Fracionário</td>\n      <td>LOCALIZA     ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-11.0</td>\n      <td>513.59</td>\n      <td>46.690000</td>\n      <td>44.380000</td>\n      <td>25.41</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>2019-09-05</td>\n      <td>MGLU3</td>\n      <td>Fracionário</td>\n      <td>MAGAZ LUIZA  ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>7.0</td>\n      <td>263.97</td>\n      <td>37.710000</td>\n      <td>34.856667</td>\n      <td>0.00</td>\n      <td>33.0</td>\n    </tr>\n    <tr>\n      <th>37</th>\n      <td>2019-09-05</td>\n      <td>PETR4</td>\n      <td>Fracionário</td>\n      <td>PETROBRAS    PN      N2</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>19.0</td>\n      <td>506.16</td>\n      <td>26.640000</td>\n      <td>26.376410</td>\n      <td>0.00</td>\n      <td>39.0</td>\n    </tr>\n    <tr>\n      <th>38</th>\n      <td>2019-09-05</td>\n      <td>VALE3</td>\n      <td>Fracionário</td>\n      <td>VALE         ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>5.0</td>\n      <td>235.65</td>\n      <td>47.130000</td>\n      <td>49.798000</td>\n      <td>0.00</td>\n      <td>25.0</td>\n    </tr>\n    <tr>\n      <th>42</th>\n      <td>2019-09-12</td>\n      <td>VVAR3</td>\n      <td>Fracionário</td>\n      <td>VIAVAREJO    ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>40.0</td>\n      <td>282.00</td>\n      <td>7.050000</td>\n      <td>7.758000</td>\n      <td>0.00</td>\n      <td>100.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
          "text/plain": "         Data Código      Mercado            Especificação Tipo de Execução  \\\n0  2019-07-11  CVCB3  Fracionário  CVC BRASIL   ON      NM                C   \n1  2019-07-11  PETR4  Fracionário  PETROBRAS    PN      N2                C   \n2  2019-07-11  RAIL3  Fracionário  RUMO S.A.    ON      NM                C   \n3  2019-07-11  VALE3  Fracionário  VALE         ON      NM                C   \n4  2019-07-19  CVCB3  Fracionário  CVC BRASIL   ON      NM                V   \n5  2019-08-01  ANIM3  Fracionário  ANIMA        ON      NM                C   \n6  2019-08-01  B3SA3  Fracionário  B3           ON      NM                C   \n7  2019-08-01  CVCB3  Fracionário  CVC BRASIL   ON      NM                C   \n8  2019-08-01  JBSS3  Fracionário  JBS          ON      NM                C   \n9  2019-08-01  LREN3  Fracionário  LOJAS RENNER ON      NM                C   \n10 2019-08-01  MGLU3  Fracionário  MAGAZ LUIZA  ON      NM                C   \n11 2019-08-01  MGLU3  Fracionário  MAGAZ LUIZA  ON      NM              DES   \n12 2019-08-01  PCAR4  Fracionário  P.ACUCAR-CBD PN      N1                C   \n13 2019-08-01  RENT3  Fracionário  LOCALIZA     ON      NM                C   \n14 2019-08-01  VALE3  Fracionário  VALE         ON      NM                C   \n15 2019-08-01  VVAR3  Fracionário  VIAVAREJO    ON      NM                C   \n16 2019-08-05  IRBR3  Fracionário  IRBBRASIL RE ON      NM                C   \n17 2019-08-05  JBSS3  Fracionário  JBS          ON      NM                V   \n18 2019-08-07  PETR4  Fracionário  PETROBRAS    PN      N2                V   \n19 2019-08-08  PETR4  Fracionário  PETROBRAS    PN      N2                C   \n20 2019-08-26  MGLU3  Fracionário  MAGAZ LUIZA  ON      NM                C   \n21 2019-09-02  ANIM3  Fracionário  ANIMA        ON      NM                V   \n22 2019-09-02  B3SA3  Fracionário  B3           ON      NM                V   \n23 2019-09-02  CVCB3  Fracionário  CVC BRASIL   ON      NM                V   \n24 2019-09-02  IRBR3  Fracionário  IRBBRASIL RE ON      NM                V   \n25 2019-09-02  LREN3  Fracionário  LOJAS RENNER ON      NM                V   \n26 2019-09-02  PCAR4  Fracionário  P.ACUCAR-CBD PN      N1                V   \n27 2019-09-02  RAIL3  Fracionário  RUMO S.A.    ON      NM                V   \n28 2019-09-02  RENT3  Fracionário  LOCALIZA     ON      NM                V   \n35 2019-09-05  MGLU3  Fracionário  MAGAZ LUIZA  ON      NM                C   \n37 2019-09-05  PETR4  Fracionário  PETROBRAS    PN      N2                C   \n38 2019-09-05  VALE3  Fracionário  VALE         ON      NM                C   \n42 2019-09-12  VVAR3  Fracionário  VIAVAREJO    ON      NM                C   \n\n   Corretora  Quantidade de C/V  Valor Total  Preço de C/V  Preço Atual  \\\n0      MODAL               10.0       530.00     53.000000    53.000000   \n1      MODAL               17.0       478.89     28.170000    28.170000   \n2      MODAL               20.0       443.40     22.170000    22.170000   \n3      MODAL               10.0       520.00     52.000000    52.000000   \n4      MODAL              -10.0       487.00     48.700000    53.000000   \n5      MODAL               20.0       425.40     21.270000    21.270000   \n6      MODAL               10.0       430.70     43.070000    43.070000   \n7      MODAL                9.0       459.00     51.000000    51.000000   \n8      MODAL               16.0       429.68     26.855000    26.855000   \n9      MODAL               10.0       493.20     49.320000    49.320000   \n10     MODAL                2.0       548.80    274.400000   274.400000   \n11     MODAL               14.0         8.00      0.125000    34.300000   \n12     MODAL                5.0       474.30     94.860000    94.860000   \n13     MODAL               11.0       488.18     44.380000    44.380000   \n14     MODAL               10.0       489.30     48.930000    50.465000   \n15     MODAL               60.0       493.80      8.230000     8.230000   \n16     MODAL                5.0       457.50     91.500000    91.500000   \n17     MODAL              -16.0       413.51     25.844375    26.855000   \n18     MODAL              -17.0       430.61     25.330000    28.170000   \n19     MODAL               20.0       522.52     26.126000    26.126000   \n20     MODAL               10.0       337.50     33.750000    34.088462   \n21     MODAL              -20.0       416.20     20.810000    21.270000   \n22     MODAL              -10.0       442.70     44.270000    43.070000   \n23     MODAL               -9.0       474.30     52.700000    51.000000   \n24     MODAL               -5.0       535.10    107.020000    91.500000   \n25     MODAL              -10.0       506.20     50.620000    49.320000   \n26     MODAL               -5.0       431.55     86.310000    94.860000   \n27     MODAL              -20.0       456.40     22.820000    22.170000   \n28     MODAL              -11.0       513.59     46.690000    44.380000   \n35     MODAL                7.0       263.97     37.710000    34.856667   \n37     MODAL               19.0       506.16     26.640000    26.376410   \n38     MODAL                5.0       235.65     47.130000    49.798000   \n42     MODAL               40.0       282.00      7.050000     7.758000   \n\n      L/P  Quantidade Atual  \n0    0.00              10.0  \n1    0.00              17.0  \n2    0.00              20.0  \n3    0.00              10.0  \n4  -43.00               0.0  \n5    0.00              20.0  \n6    0.00              10.0  \n7    0.00               9.0  \n8    0.00              16.0  \n9    0.00              10.0  \n10   0.00               2.0  \n11   0.00              16.0  \n12   0.00               5.0  \n13   0.00              11.0  \n14   0.00              20.0  \n15   0.00              60.0  \n16   0.00               5.0  \n17 -16.17               0.0  \n18 -48.28               0.0  \n19   0.00              20.0  \n20   0.00              26.0  \n21  -9.20               0.0  \n22  12.00               0.0  \n23  15.30               0.0  \n24  77.60               0.0  \n25  13.00               0.0  \n26 -42.75               0.0  \n27  13.00               0.0  \n28  25.41               0.0  \n35   0.00              33.0  \n37   0.00              39.0  \n38   0.00              25.0  \n42   0.00             100.0  "
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          "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>Data</th>\n      <th>Código</th>\n      <th>Mercado</th>\n      <th>Especificação</th>\n      <th>Tipo de Execução</th>\n      <th>Corretora</th>\n      <th>Quantidade de C/V</th>\n      <th>Valor Total</th>\n      <th>Preço de C/V</th>\n      <th>Preço Atual</th>\n      <th>L/P</th>\n      <th>Quantidade Atual</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2019-07-11</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>530.00</td>\n      <td>53.000000</td>\n      <td>53.000000</td>\n      <td>0.00</td>\n      <td>10.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2019-07-11</td>\n      <td>PETR4</td>\n      <td>Fracionário</td>\n      <td>PETROBRAS    PN      N2</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>17.0</td>\n      <td>478.89</td>\n      <td>28.170000</td>\n      <td>28.170000</td>\n      <td>0.00</td>\n      <td>17.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2019-07-11</td>\n      <td>RAIL3</td>\n      <td>Fracionário</td>\n      <td>RUMO S.A.    ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>20.0</td>\n      <td>443.40</td>\n      <td>22.170000</td>\n      <td>22.170000</td>\n      <td>0.00</td>\n      <td>20.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2019-07-11</td>\n      <td>VALE3</td>\n      <td>Fracionário</td>\n      <td>VALE         ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>520.00</td>\n      <td>52.000000</td>\n      <td>52.000000</td>\n      <td>0.00</td>\n      <td>10.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2019-07-19</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-10.0</td>\n      <td>487.00</td>\n      <td>48.700000</td>\n      <td>53.000000</td>\n      <td>-43.00</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>2019-08-01</td>\n      <td>ANIM3</td>\n      <td>Fracionário</td>\n      <td>ANIMA        ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>20.0</td>\n      <td>425.40</td>\n      <td>21.270000</td>\n      <td>21.270000</td>\n      <td>0.00</td>\n      <td>20.0</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>2019-08-01</td>\n      <td>B3SA3</td>\n      <td>Fracionário</td>\n      <td>B3           ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>430.70</td>\n      <td>43.070000</td>\n      <td>43.070000</td>\n      <td>0.00</td>\n      <td>10.0</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>2019-08-01</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>9.0</td>\n      <td>459.00</td>\n      <td>51.000000</td>\n      <td>51.000000</td>\n      <td>0.00</td>\n      <td>9.0</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>2019-08-01</td>\n      <td>JBSS3</td>\n      <td>Fracionário</td>\n      <td>JBS          ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>16.0</td>\n      <td>429.68</td>\n      <td>26.855000</td>\n      <td>26.855000</td>\n      <td>0.00</td>\n      <td>16.0</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>2019-08-01</td>\n      <td>LREN3</td>\n      <td>Fracionário</td>\n      <td>LOJAS RENNER ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>493.20</td>\n      <td>49.320000</td>\n      <td>49.320000</td>\n      <td>0.00</td>\n      <td>10.0</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>2019-08-01</td>\n      <td>MGLU3</td>\n      <td>Fracionário</td>\n      <td>MAGAZ LUIZA  ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>2.0</td>\n      <td>548.80</td>\n      <td>274.400000</td>\n      <td>274.400000</td>\n      <td>0.00</td>\n      <td>2.0</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>2019-08-01</td>\n      <td>MGLU3</td>\n      <td>Fracionário</td>\n      <td>MAGAZ LUIZA  ON      NM</td>\n      <td>DES</td>\n      <td>MODAL</td>\n      <td>14.0</td>\n      <td>8.00</td>\n      <td>0.125000</td>\n      <td>34.300000</td>\n      <td>0.00</td>\n      <td>16.0</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>2019-08-01</td>\n      <td>PCAR4</td>\n      <td>Fracionário</td>\n      <td>P.ACUCAR-CBD PN      N1</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>5.0</td>\n      <td>474.30</td>\n      <td>94.860000</td>\n      <td>94.860000</td>\n      <td>0.00</td>\n      <td>5.0</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>2019-08-01</td>\n      <td>RENT3</td>\n      <td>Fracionário</td>\n      <td>LOCALIZA     ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>11.0</td>\n      <td>488.18</td>\n      <td>44.380000</td>\n      <td>44.380000</td>\n      <td>0.00</td>\n      <td>11.0</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>2019-08-01</td>\n      <td>VALE3</td>\n      <td>Fracionário</td>\n      <td>VALE         ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>489.30</td>\n      <td>48.930000</td>\n      <td>50.465000</td>\n      <td>0.00</td>\n      <td>20.0</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>2019-08-01</td>\n      <td>VVAR3</td>\n      <td>Fracionário</td>\n      <td>VIAVAREJO    ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>60.0</td>\n      <td>493.80</td>\n      <td>8.230000</td>\n      <td>8.230000</td>\n      <td>0.00</td>\n      <td>60.0</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>2019-08-05</td>\n      <td>IRBR3</td>\n      <td>Fracionário</td>\n      <td>IRBBRASIL RE ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>5.0</td>\n      <td>457.50</td>\n      <td>91.500000</td>\n      <td>91.500000</td>\n      <td>0.00</td>\n      <td>5.0</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>2019-08-05</td>\n      <td>JBSS3</td>\n      <td>Fracionário</td>\n      <td>JBS          ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-16.0</td>\n      <td>413.51</td>\n      <td>25.844375</td>\n      <td>26.855000</td>\n      <td>-16.17</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>2019-08-07</td>\n      <td>PETR4</td>\n      <td>Fracionário</td>\n      <td>PETROBRAS    PN      N2</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-17.0</td>\n      <td>430.61</td>\n      <td>25.330000</td>\n      <td>28.170000</td>\n      <td>-48.28</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>2019-08-08</td>\n      <td>PETR4</td>\n      <td>Fracionário</td>\n      <td>PETROBRAS    PN      N2</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>20.0</td>\n      <td>522.52</td>\n      <td>26.126000</td>\n      <td>26.126000</td>\n      <td>0.00</td>\n      <td>20.0</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>2019-08-26</td>\n      <td>MGLU3</td>\n      <td>Fracionário</td>\n      <td>MAGAZ LUIZA  ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>337.50</td>\n      <td>33.750000</td>\n      <td>34.088462</td>\n      <td>0.00</td>\n      <td>26.0</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>2019-09-02</td>\n      <td>ANIM3</td>\n      <td>Fracionário</td>\n      <td>ANIMA        ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-20.0</td>\n      <td>416.20</td>\n      <td>20.810000</td>\n      <td>21.270000</td>\n      <td>-9.20</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>2019-09-02</td>\n      <td>B3SA3</td>\n      <td>Fracionário</td>\n      <td>B3           ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-10.0</td>\n      <td>442.70</td>\n      <td>44.270000</td>\n      <td>43.070000</td>\n      <td>12.00</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>2019-09-02</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-9.0</td>\n      <td>474.30</td>\n      <td>52.700000</td>\n      <td>51.000000</td>\n      <td>15.30</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>2019-09-02</td>\n      <td>IRBR3</td>\n      <td>Fracionário</td>\n      <td>IRBBRASIL RE ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-5.0</td>\n      <td>535.10</td>\n      <td>107.020000</td>\n      <td>91.500000</td>\n      <td>77.60</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>2019-09-02</td>\n      <td>LREN3</td>\n      <td>Fracionário</td>\n      <td>LOJAS RENNER ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-10.0</td>\n      <td>506.20</td>\n      <td>50.620000</td>\n      <td>49.320000</td>\n      <td>13.00</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>2019-09-02</td>\n      <td>PCAR4</td>\n      <td>Fracionário</td>\n      <td>P.ACUCAR-CBD PN      N1</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-5.0</td>\n      <td>431.55</td>\n      <td>86.310000</td>\n      <td>94.860000</td>\n      <td>-42.75</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>2019-09-02</td>\n      <td>RAIL3</td>\n      <td>Fracionário</td>\n      <td>RUMO S.A.    ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-20.0</td>\n      <td>456.40</td>\n      <td>22.820000</td>\n      <td>22.170000</td>\n      <td>13.00</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>2019-09-02</td>\n      <td>RENT3</td>\n      <td>Fracionário</td>\n      <td>LOCALIZA     ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-11.0</td>\n      <td>513.59</td>\n      <td>46.690000</td>\n      <td>44.380000</td>\n      <td>25.41</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>2019-09-05</td>\n      <td>MGLU3</td>\n      <td>Fracionário</td>\n      <td>MAGAZ LUIZA  ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>7.0</td>\n      <td>263.97</td>\n      <td>37.710000</td>\n      <td>34.856667</td>\n      <td>0.00</td>\n      <td>33.0</td>\n    </tr>\n    <tr>\n      <th>37</th>\n      <td>2019-09-05</td>\n      <td>PETR4</td>\n      <td>Fracionário</td>\n      <td>PETROBRAS    PN      N2</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>19.0</td>\n      <td>506.16</td>\n      <td>26.640000</td>\n      <td>26.376410</td>\n      <td>0.00</td>\n      <td>39.0</td>\n    </tr>\n    <tr>\n      <th>38</th>\n      <td>2019-09-05</td>\n      <td>VALE3</td>\n      <td>Fracionário</td>\n      <td>VALE         ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>5.0</td>\n      <td>235.65</td>\n      <td>47.130000</td>\n      <td>49.798000</td>\n      <td>0.00</td>\n      <td>25.0</td>\n    </tr>\n    <tr>\n      <th>42</th>\n      <td>2019-09-12</td>\n      <td>VVAR3</td>\n      <td>Fracionário</td>\n      <td>VIAVAREJO    ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>40.0</td>\n      <td>282.00</td>\n      <td>7.050000</td>\n      <td>7.758000</td>\n      <td>0.00</td>\n      <td>100.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
          "text/plain": "         Data Código      Mercado            Especificação Tipo de Execução  \\\n0  2019-07-11  CVCB3  Fracionário  CVC BRASIL   ON      NM                C   \n1  2019-07-11  PETR4  Fracionário  PETROBRAS    PN      N2                C   \n2  2019-07-11  RAIL3  Fracionário  RUMO S.A.    ON      NM                C   \n3  2019-07-11  VALE3  Fracionário  VALE         ON      NM                C   \n4  2019-07-19  CVCB3  Fracionário  CVC BRASIL   ON      NM                V   \n5  2019-08-01  ANIM3  Fracionário  ANIMA        ON      NM                C   \n6  2019-08-01  B3SA3  Fracionário  B3           ON      NM                C   \n7  2019-08-01  CVCB3  Fracionário  CVC BRASIL   ON      NM                C   \n8  2019-08-01  JBSS3  Fracionário  JBS          ON      NM                C   \n9  2019-08-01  LREN3  Fracionário  LOJAS RENNER ON      NM                C   \n10 2019-08-01  MGLU3  Fracionário  MAGAZ LUIZA  ON      NM                C   \n11 2019-08-01  MGLU3  Fracionário  MAGAZ LUIZA  ON      NM              DES   \n12 2019-08-01  PCAR4  Fracionário  P.ACUCAR-CBD PN      N1                C   \n13 2019-08-01  RENT3  Fracionário  LOCALIZA     ON      NM                C   \n14 2019-08-01  VALE3  Fracionário  VALE         ON      NM                C   \n15 2019-08-01  VVAR3  Fracionário  VIAVAREJO    ON      NM                C   \n16 2019-08-05  IRBR3  Fracionário  IRBBRASIL RE ON      NM                C   \n17 2019-08-05  JBSS3  Fracionário  JBS          ON      NM                V   \n18 2019-08-07  PETR4  Fracionário  PETROBRAS    PN      N2                V   \n19 2019-08-08  PETR4  Fracionário  PETROBRAS    PN      N2                C   \n20 2019-08-26  MGLU3  Fracionário  MAGAZ LUIZA  ON      NM                C   \n21 2019-09-02  ANIM3  Fracionário  ANIMA        ON      NM                V   \n22 2019-09-02  B3SA3  Fracionário  B3           ON      NM                V   \n23 2019-09-02  CVCB3  Fracionário  CVC BRASIL   ON      NM                V   \n24 2019-09-02  IRBR3  Fracionário  IRBBRASIL RE ON      NM                V   \n25 2019-09-02  LREN3  Fracionário  LOJAS RENNER ON      NM                V   \n26 2019-09-02  PCAR4  Fracionário  P.ACUCAR-CBD PN      N1                V   \n27 2019-09-02  RAIL3  Fracionário  RUMO S.A.    ON      NM                V   \n28 2019-09-02  RENT3  Fracionário  LOCALIZA     ON      NM                V   \n35 2019-09-05  MGLU3  Fracionário  MAGAZ LUIZA  ON      NM                C   \n37 2019-09-05  PETR4  Fracionário  PETROBRAS    PN      N2                C   \n38 2019-09-05  VALE3  Fracionário  VALE         ON      NM                C   \n42 2019-09-12  VVAR3  Fracionário  VIAVAREJO    ON      NM                C   \n\n   Corretora  Quantidade de C/V  Valor Total  Preço de C/V  Preço Atual  \\\n0      MODAL               10.0       530.00     53.000000    53.000000   \n1      MODAL               17.0       478.89     28.170000    28.170000   \n2      MODAL               20.0       443.40     22.170000    22.170000   \n3      MODAL               10.0       520.00     52.000000    52.000000   \n4      MODAL              -10.0       487.00     48.700000    53.000000   \n5      MODAL               20.0       425.40     21.270000    21.270000   \n6      MODAL               10.0       430.70     43.070000    43.070000   \n7      MODAL                9.0       459.00     51.000000    51.000000   \n8      MODAL               16.0       429.68     26.855000    26.855000   \n9      MODAL               10.0       493.20     49.320000    49.320000   \n10     MODAL                2.0       548.80    274.400000   274.400000   \n11     MODAL               14.0         8.00      0.125000    34.300000   \n12     MODAL                5.0       474.30     94.860000    94.860000   \n13     MODAL               11.0       488.18     44.380000    44.380000   \n14     MODAL               10.0       489.30     48.930000    50.465000   \n15     MODAL               60.0       493.80      8.230000     8.230000   \n16     MODAL                5.0       457.50     91.500000    91.500000   \n17     MODAL              -16.0       413.51     25.844375    26.855000   \n18     MODAL              -17.0       430.61     25.330000    28.170000   \n19     MODAL               20.0       522.52     26.126000    26.126000   \n20     MODAL               10.0       337.50     33.750000    34.088462   \n21     MODAL              -20.0       416.20     20.810000    21.270000   \n22     MODAL              -10.0       442.70     44.270000    43.070000   \n23     MODAL               -9.0       474.30     52.700000    51.000000   \n24     MODAL               -5.0       535.10    107.020000    91.500000   \n25     MODAL              -10.0       506.20     50.620000    49.320000   \n26     MODAL               -5.0       431.55     86.310000    94.860000   \n27     MODAL              -20.0       456.40     22.820000    22.170000   \n28     MODAL              -11.0       513.59     46.690000    44.380000   \n35     MODAL                7.0       263.97     37.710000    34.856667   \n37     MODAL               19.0       506.16     26.640000    26.376410   \n38     MODAL                5.0       235.65     47.130000    49.798000   \n42     MODAL               40.0       282.00      7.050000     7.758000   \n\n      L/P  Quantidade Atual  \n0    0.00              10.0  \n1    0.00              17.0  \n2    0.00              20.0  \n3    0.00              10.0  \n4  -43.00               0.0  \n5    0.00              20.0  \n6    0.00              10.0  \n7    0.00               9.0  \n8    0.00              16.0  \n9    0.00              10.0  \n10   0.00               2.0  \n11   0.00              16.0  \n12   0.00               5.0  \n13   0.00              11.0  \n14   0.00              20.0  \n15   0.00              60.0  \n16   0.00               5.0  \n17 -16.17               0.0  \n18 -48.28               0.0  \n19   0.00              20.0  \n20   0.00              26.0  \n21  -9.20               0.0  \n22  12.00               0.0  \n23  15.30               0.0  \n24  77.60               0.0  \n25  13.00               0.0  \n26 -42.75               0.0  \n27  13.00               0.0  \n28  25.41               0.0  \n35   0.00              33.0  \n37   0.00              39.0  \n38   0.00              25.0  \n42   0.00             100.0  "
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          "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>Data</th>\n      <th>Código</th>\n      <th>Quantidade de C/V</th>\n      <th>&lt;Preço&gt;</th>\n      <th>&lt;Valor Total&gt;</th>\n      <th>Corretora</th>\n      <th>Posição</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>43</th>\n      <td>2019-10-01</td>\n      <td>BBDC3</td>\n      <td>-16.0</td>\n      <td>30.55</td>\n      <td>488.80</td>\n      <td>CLEAR</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>44</th>\n      <td>2019-10-01</td>\n      <td>BBSE3</td>\n      <td>-15.0</td>\n      <td>32.90</td>\n      <td>493.50</td>\n      <td>CLEAR</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>45</th>\n      <td>2019-10-01</td>\n      <td>CSNA3</td>\n      <td>-35.0</td>\n      <td>14.53</td>\n      <td>508.55</td>\n      <td>CLEAR</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>46</th>\n      <td>2019-10-01</td>\n      <td>EVEN3</td>\n      <td>-65.0</td>\n      <td>10.84</td>\n      <td>704.60</td>\n      <td>CLEAR</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>54</th>\n      <td>2019-11-04</td>\n      <td>MOVI3</td>\n      <td>-31.0</td>\n      <td>15.71</td>\n      <td>487.01</td>\n      <td>CLEAR</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>55</th>\n      <td>2019-11-04</td>\n      <td>SANB11</td>\n      <td>-12.0</td>\n      <td>45.65</td>\n      <td>547.80</td>\n      <td>CLEAR</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>56</th>\n      <td>2019-11-04</td>\n      <td>SBSP3</td>\n      <td>-11.0</td>\n      <td>49.90</td>\n      <td>548.90</td>\n      <td>CLEAR</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>58</th>\n      <td>2019-12-02</td>\n      <td>IRBR3</td>\n      <td>-14.0</td>\n      <td>37.80</td>\n      <td>529.20</td>\n      <td>CLEAR</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>57</th>\n      <td>2019-12-02</td>\n      <td>BBDC4</td>\n      <td>-15.0</td>\n      <td>35.05</td>\n      <td>525.75</td>\n      <td>CLEAR</td>\n      <td>Zerada</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
          "text/plain": "         Data  Código  Quantidade de C/V  <Preço>  <Valor Total> Corretora  \\\n43 2019-10-01   BBDC3              -16.0    30.55         488.80     CLEAR   \n44 2019-10-01   BBSE3              -15.0    32.90         493.50     CLEAR   \n45 2019-10-01   CSNA3              -35.0    14.53         508.55     CLEAR   \n46 2019-10-01   EVEN3              -65.0    10.84         704.60     CLEAR   \n54 2019-11-04   MOVI3              -31.0    15.71         487.01     CLEAR   \n55 2019-11-04  SANB11              -12.0    45.65         547.80     CLEAR   \n56 2019-11-04   SBSP3              -11.0    49.90         548.90     CLEAR   \n58 2019-12-02   IRBR3              -14.0    37.80         529.20     CLEAR   \n57 2019-12-02   BBDC4              -15.0    35.05         525.75     CLEAR   \n\n   Posição  \n43  Zerada  \n44  Zerada  \n45  Zerada  \n46  Zerada  \n54  Zerada  \n55  Zerada  \n56  Zerada  \n58  Zerada  \n57  Zerada  "
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         "output_type": "stream",
         "text": "\nJá creditados em 2019:\n"
        },
        {
         "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>Ativo</th>\n      <th>Especificação</th>\n      <th>Código</th>\n      <th>Tipo</th>\n      <th>Previsão</th>\n      <th>Valor</th>\n      <th>Corretora</th>\n      <th>Recebi</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>PETROBRAS</td>\n      <td>PN N2</td>\n      <td>PETR4</td>\n      <td>jcp</td>\n      <td>2019-10-01</td>\n      <td>3.40</td>\n      <td>modal</td>\n      <td>s</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>MOVIDA</td>\n      <td>ON NM</td>\n      <td>MOVI3</td>\n      <td>jcp</td>\n      <td>2019-10-01</td>\n      <td>1.77</td>\n      <td>clear</td>\n      <td>s</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>SATANDER BR</td>\n      <td>UNT</td>\n      <td>SANB11</td>\n      <td>jcp</td>\n      <td>2019-10-01</td>\n      <td>2.73</td>\n      <td>clear</td>\n      <td>s</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>IRBBRASIL RE</td>\n      <td>ON NM</td>\n      <td>IRBR3</td>\n      <td>jcp</td>\n      <td>2019-12-01</td>\n      <td>2.54</td>\n      <td>clear</td>\n      <td>s</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
          "text/plain": "          Ativo Especificação  Código Tipo   Previsão  Valor Corretora Recebi\n0     PETROBRAS         PN N2   PETR4  jcp 2019-10-01   3.40     modal      s\n7        MOVIDA         ON NM   MOVI3  jcp 2019-10-01   1.77     clear      s\n8   SATANDER BR           UNT  SANB11  jcp 2019-10-01   2.73     clear      s\n9  IRBBRASIL RE         ON NM   IRBR3  jcp 2019-12-01   2.54     clear      s"
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         "output_type": "stream",
         "text": "\nCrédito em transito:\n"
        },
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         "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>Ativo</th>\n      <th>Especificação</th>\n      <th>Código</th>\n      <th>Tipo</th>\n      <th>Previsão</th>\n      <th>Valor</th>\n      <th>Corretora</th>\n      <th>Recebi</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>MAGAZ LUIZA</td>\n      <td>ON NM</td>\n      <td>MGLU3</td>\n      <td>jcp</td>\n      <td>NaT</td>\n      <td>2.06</td>\n      <td>modal</td>\n      <td>n</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>MAGAZ LUIZA</td>\n      <td>ON NM</td>\n      <td>MGLU3</td>\n      <td>jcp</td>\n      <td>NaT</td>\n      <td>1.01</td>\n      <td>modal</td>\n      <td>n</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>PETROBRAS</td>\n      <td>PN N2</td>\n      <td>PETR4</td>\n      <td>jcp</td>\n      <td>2020-02-01</td>\n      <td>6.63</td>\n      <td>modal</td>\n      <td>s</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>PETROBRAS</td>\n      <td>PN N2</td>\n      <td>PETR4</td>\n      <td>jcp</td>\n      <td>2020-02-01</td>\n      <td>13.93</td>\n      <td>modal</td>\n      <td>s</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>VALE</td>\n      <td>ON NM</td>\n      <td>VALE3</td>\n      <td>jcp</td>\n      <td>NaT</td>\n      <td>30.05</td>\n      <td>modal</td>\n      <td>n</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>MOVIDA</td>\n      <td>ON EJ NM</td>\n      <td>MOVI3</td>\n      <td>jcp</td>\n      <td>2020-01-01</td>\n      <td>2.46</td>\n      <td>clear</td>\n      <td>s</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>LOCAMERICA</td>\n      <td>ON NM</td>\n      <td>LCAM3</td>\n      <td>jcp</td>\n      <td>2020-01-01</td>\n      <td>1.96</td>\n      <td>clear</td>\n      <td>s</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>KLABIN S/A</td>\n      <td>UNT N2</td>\n      <td>KLBN11</td>\n      <td>jcp</td>\n      <td>2020-02-01</td>\n      <td>4.68</td>\n      <td>clear</td>\n      <td>s</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
          "text/plain": "          Ativo Especificação  Código Tipo   Previsão  Valor Corretora Recebi\n1   MAGAZ LUIZA         ON NM   MGLU3  jcp        NaT   2.06     modal      n\n2   MAGAZ LUIZA         ON NM   MGLU3  jcp        NaT   1.01     modal      n\n3     PETROBRAS         PN N2   PETR4  jcp 2020-02-01   6.63     modal      s\n4     PETROBRAS         PN N2   PETR4  jcp 2020-02-01  13.93     modal      s\n5          VALE         ON NM   VALE3  jcp        NaT  30.05     modal      n\n11       MOVIDA      ON EJ NM   MOVI3  jcp 2020-01-01   2.46     clear      s\n12   LOCAMERICA         ON NM   LCAM3  jcp 2020-01-01   1.96     clear      s\n13   KLABIN S/A        UNT N2  KLBN11  jcp 2020-02-01   4.68     clear      s"
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        {
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          "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/ipywidgets/widgets/interaction.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    254\u001b[0m                     \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_interact_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    255\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kwarg\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 256\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    257\u001b[0m                 \u001b[0mshow_inline_matplotlib_plots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    258\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauto_display\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-105-6f29c920d2f2>\u001b[0m in \u001b[0;36mf\u001b[0;34m(corretora)\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf_ativos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdf_ativos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Corretora'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mcorretora\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m     \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcarteira_de_acoes_atual\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moffline\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0minteractive\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcorretora\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdf_ativos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Corretora'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-103-253fe6605bb8>\u001b[0m in \u001b[0;36mcarteira_de_acoes_atual\u001b[0;34m(df, offline)\u001b[0m\n\u001b[1;32m      9\u001b[0m         \u001b[0mlast_idx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Código'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mcod\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlast_valid_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m         \u001b[0mcarteira\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcarteira\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mlast_idx\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mignore_index\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m     \u001b[0mcarteira\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcarteira\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcarteira\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Quantidade Atual'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m0.0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   1765\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1766\u001b[0m             \u001b[0mmaybe_callable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply_if_callable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1767\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmaybe_callable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1768\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1769\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_is_scalar_access\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_getitem_axis\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m   2135\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2136\u001b[0m             \u001b[0;31m# validate the location\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2137\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2138\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2139\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_validate_integer\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m   2060\u001b[0m         \u001b[0mlen_axis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2061\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0mlen_axis\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0mlen_axis\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2062\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mIndexError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"single positional indexer is out-of-bounds\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2063\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2064\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_getitem_tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtup\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;31mIndexError\u001b[0m: single positional indexer is out-of-bounds"
         ]
        }
       ]
      }
     },
     "1c433863bc544fbba48dd2d066010324": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DescriptionStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1c7f697987f74e338af358e1f3e250bf": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "1d397af23b574c3881c852fa5542a9b4": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "MODAL",
        "CLEAR"
       ],
       "description": "corretora",
       "index": 0,
       "layout": "IPY_MODEL_891e7c3fed344a5aac463e015023891b",
       "style": "IPY_MODEL_74432649c67e45a7b5a1fb56b87ea8f2"
      }
     },
     "1d74b405cb4e4197aed4280508212373": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.2.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "221d2518a3c44050a5818ad0ffa02d8f": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_a75c5e4aec81426cbd26e908ff987d69",
        "IPY_MODEL_04a0e261504845cbac0ad36ba6062e24"
       ],
       "layout": "IPY_MODEL_b99e03d818654acd8acd4b696513a30a"
      }
     },
     "22307df501bd43f7a9c3ac20d6f9156b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "MODAL",
        "CLEAR"
       ],
       "description": "corretora",
       "index": 1,
       "layout": "IPY_MODEL_2e0dfc974dbd45e7a6291171c292b961",
       "style": "IPY_MODEL_bc1693a3a6c5406787c93a0cbd239d8f"
      }
     },
     "223abbf860a34898ba21339655a24f80": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.5.0",
      "model_name": "DropdownModel",
      "state": {
       "_options_labels": [
        "MODAL",
        "CLEAR"
       ],
       "description": "corretora",
       "index": 0,
       "layout": "IPY_MODEL_47e888882f3d4df9a6dbc0db69813e92",
       "style": "IPY_MODEL_640cfb1a14064ade8eb0a58f1d4488b8"
      }
     },
     "233230794e83498ba17a07c343bcf53b": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_86ef40725b3047968b214f7629e28907",
       "outputs": [
        {
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          "text/plain": "         Data Código  Quantidade de C/V  <Preço>  <Valor Total> Situação  \\\n17 2019-08-05  JBSS3              -16.0   26.855         429.68   Zerada   \n23 2019-09-02  CVCB3               -9.0   51.000         459.00   Zerada   \n27 2019-09-02  RAIL3              -20.0   22.170         443.40   Zerada   \n21 2019-09-02  ANIM3              -20.0   21.270         425.40   Zerada   \n22 2019-09-02  B3SA3              -10.0   43.070         430.70   Zerada   \n25 2019-09-02  LREN3              -10.0   49.320         493.20   Zerada   \n26 2019-09-02  PCAR4               -5.0   94.860         474.30   Zerada   \n28 2019-09-02  RENT3              -11.0   44.380         488.18   Zerada   \n24 2019-09-02  IRBR3               -5.0   91.500         457.50   Zerada   \n\n   Corretora  \n17     MODAL  \n23     MODAL  \n27     MODAL  \n21     MODAL  \n22     MODAL  \n25     MODAL  \n26     MODAL  \n28     MODAL  \n24     MODAL  "
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          "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>Data</th>\n      <th>Código</th>\n      <th>Mercado</th>\n      <th>Especificação</th>\n      <th>Tipo de Execução</th>\n      <th>Corretora</th>\n      <th>Quantidade de C/V</th>\n      <th>Valor Total</th>\n      <th>Preço de C/V</th>\n      <th>Preço Atual</th>\n      <th>L/P</th>\n      <th>Quantidade Atual</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>10</th>\n      <td>2019-08-01</td>\n      <td>MGLU3</td>\n      <td>Fracionário</td>\n      <td>MAGAZ LUIZA  ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>2.0</td>\n      <td>548.80</td>\n      <td>274.400</td>\n      <td>274.400000</td>\n      <td>0.0</td>\n      <td>2.0</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>2019-08-01</td>\n      <td>MGLU3</td>\n      <td>Fracionário</td>\n      <td>MAGAZ LUIZA  ON      NM</td>\n      <td>DES</td>\n      <td>MODAL</td>\n      <td>14.0</td>\n      <td>8.00</td>\n      <td>0.125</td>\n      <td>34.300000</td>\n      <td>0.0</td>\n      <td>16.0</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>2019-08-26</td>\n      <td>MGLU3</td>\n      <td>Fracionário</td>\n      <td>MAGAZ LUIZA  ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>337.50</td>\n      <td>33.750</td>\n      <td>34.088462</td>\n      <td>0.0</td>\n      <td>26.0</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>2019-09-05</td>\n      <td>MGLU3</td>\n      <td>Fracionário</td>\n      <td>MAGAZ LUIZA  ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>7.0</td>\n      <td>263.97</td>\n      <td>37.710</td>\n      <td>34.856667</td>\n      <td>0.0</td>\n      <td>33.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
          "text/plain": "         Data Código      Mercado            Especificação Tipo de Execução  \\\n10 2019-08-01  MGLU3  Fracionário  MAGAZ LUIZA  ON      NM                C   \n11 2019-08-01  MGLU3  Fracionário  MAGAZ LUIZA  ON      NM              DES   \n20 2019-08-26  MGLU3  Fracionário  MAGAZ LUIZA  ON      NM                C   \n35 2019-09-05  MGLU3  Fracionário  MAGAZ LUIZA  ON      NM                C   \n\n   Corretora  Quantidade de C/V  Valor Total  Preço de C/V  Preço Atual  L/P  \\\n10     MODAL                2.0       548.80       274.400   274.400000  0.0   \n11     MODAL               14.0         8.00         0.125    34.300000  0.0   \n20     MODAL               10.0       337.50        33.750    34.088462  0.0   \n35     MODAL                7.0       263.97        37.710    34.856667  0.0   \n\n    Quantidade Atual  \n10               2.0  \n11              16.0  \n20              26.0  \n35              33.0  "
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         "output_type": "stream",
         "text": "Já creditados em 2019:\n"
        },
        {
         "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>Ativo</th>\n      <th>Especificação</th>\n      <th>Código</th>\n      <th>Tipo</th>\n      <th>Previsão</th>\n      <th>Valor</th>\n      <th>Corretora</th>\n      <th>Recebi</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>PETROBRAS</td>\n      <td>PN N2</td>\n      <td>PETR4</td>\n      <td>jcp</td>\n      <td>2019-10-01</td>\n      <td>3.40</td>\n      <td>modal</td>\n      <td>s</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>MOVIDA</td>\n      <td>ON NM</td>\n      <td>MOVI3</td>\n      <td>jcp</td>\n      <td>2019-10-01</td>\n      <td>1.77</td>\n      <td>clear</td>\n      <td>s</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>SATANDER BR</td>\n      <td>UNT</td>\n      <td>SANB11</td>\n      <td>jcp</td>\n      <td>2019-10-01</td>\n      <td>2.73</td>\n      <td>clear</td>\n      <td>s</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>IRBBRASIL RE</td>\n      <td>ON NM</td>\n      <td>IRBR3</td>\n      <td>jcp</td>\n      <td>2019-12-01</td>\n      <td>2.54</td>\n      <td>clear</td>\n      <td>s</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
          "text/plain": "          Ativo Especificação  Código Tipo   Previsão  Valor Corretora Recebi\n0     PETROBRAS         PN N2   PETR4  jcp 2019-10-01   3.40     modal      s\n7        MOVIDA         ON NM   MOVI3  jcp 2019-10-01   1.77     clear      s\n8   SATANDER BR           UNT  SANB11  jcp 2019-10-01   2.73     clear      s\n9  IRBBRASIL RE         ON NM   IRBR3  jcp 2019-12-01   2.54     clear      s"
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         "output_type": "stream",
         "text": "\nCrédito em transito:\n"
        },
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         "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>Ativo</th>\n      <th>Especificação</th>\n      <th>Código</th>\n      <th>Tipo</th>\n      <th>Previsão</th>\n      <th>Valor</th>\n      <th>Corretora</th>\n      <th>Recebi</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>MAGAZ LUIZA</td>\n      <td>ON NM</td>\n      <td>MGLU3</td>\n      <td>jcp</td>\n      <td>NaT</td>\n      <td>2.06</td>\n      <td>modal</td>\n      <td>n</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>MAGAZ LUIZA</td>\n      <td>ON NM</td>\n      <td>MGLU3</td>\n      <td>jcp</td>\n      <td>NaT</td>\n      <td>1.01</td>\n      <td>modal</td>\n      <td>n</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>PETROBRAS</td>\n      <td>PN N2</td>\n      <td>PETR4</td>\n      <td>jcp</td>\n      <td>2020-02-01</td>\n      <td>6.63</td>\n      <td>modal</td>\n      <td>s</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>PETROBRAS</td>\n      <td>PN N2</td>\n      <td>PETR4</td>\n      <td>jcp</td>\n      <td>2020-02-01</td>\n      <td>13.93</td>\n      <td>modal</td>\n      <td>s</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>VALE</td>\n      <td>ON NM</td>\n      <td>VALE3</td>\n      <td>jcp</td>\n      <td>NaT</td>\n      <td>30.05</td>\n      <td>modal</td>\n      <td>n</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>MOVIDA</td>\n      <td>ON EJ NM</td>\n      <td>MOVI3</td>\n      <td>jcp</td>\n      <td>2020-01-01</td>\n      <td>2.46</td>\n      <td>clear</td>\n      <td>s</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>LOCAMERICA</td>\n      <td>ON NM</td>\n      <td>LCAM3</td>\n      <td>jcp</td>\n      <td>2020-01-01</td>\n      <td>1.96</td>\n      <td>clear</td>\n      <td>s</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>KLABIN S/A</td>\n      <td>UNT N2</td>\n      <td>KLBN11</td>\n      <td>jcp</td>\n      <td>2020-02-01</td>\n      <td>4.68</td>\n      <td>clear</td>\n      <td>s</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
          "text/plain": "          Ativo Especificação  Código Tipo   Previsão  Valor Corretora Recebi\n1   MAGAZ LUIZA         ON NM   MGLU3  jcp        NaT   2.06     modal      n\n2   MAGAZ LUIZA         ON NM   MGLU3  jcp        NaT   1.01     modal      n\n3     PETROBRAS         PN N2   PETR4  jcp 2020-02-01   6.63     modal      s\n4     PETROBRAS         PN N2   PETR4  jcp 2020-02-01  13.93     modal      s\n5          VALE         ON NM   VALE3  jcp        NaT  30.05     modal      n\n11       MOVIDA      ON EJ NM   MOVI3  jcp 2020-01-01   2.46     clear      s\n12   LOCAMERICA         ON NM   LCAM3  jcp 2020-01-01   1.96     clear      s\n13   KLABIN S/A        UNT N2  KLBN11  jcp 2020-02-01   4.68     clear      s"
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        {
         "ename": "KeyError",
         "evalue": "\"['Situação'] not in index\"",
         "output_type": "error",
         "traceback": [
          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
          "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/ipywidgets/widgets/interaction.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    254\u001b[0m                     \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_interact_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    255\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kwarg\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 256\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    257\u001b[0m                 \u001b[0mshow_inline_matplotlib_plots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    258\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauto_display\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-141-4666f79d928e>\u001b[0m in \u001b[0;36mf\u001b[0;34m(corretora)\u001b[0m\n\u001b[1;32m     27\u001b[0m     \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'posição'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'Zerada'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 29\u001b[0;31m     \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Data'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Código'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Quantidade de C/V'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'<Preço>'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'<Valor Total>'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Situação'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Corretora'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     30\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     31\u001b[0m \u001b[0minteractive\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcorretora\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdf_ativos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Corretora'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2804\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mis_iterator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2805\u001b[0m                 \u001b[0mkey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2806\u001b[0;31m             \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_listlike_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mraise_missing\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2807\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2808\u001b[0m         \u001b[0;31m# take() does not accept boolean indexers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_get_listlike_indexer\u001b[0;34m(self, key, axis, raise_missing)\u001b[0m\n\u001b[1;32m   1550\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1551\u001b[0m         self._validate_read_indexer(\n\u001b[0;32m-> 1552\u001b[0;31m             \u001b[0mkeyarr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindexer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_axis_number\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mraise_missing\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mraise_missing\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1553\u001b[0m         )\n\u001b[1;32m   1554\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mkeyarr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindexer\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_validate_read_indexer\u001b[0;34m(self, key, indexer, axis, raise_missing)\u001b[0m\n\u001b[1;32m   1643\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"loc\"\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mraise_missing\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1644\u001b[0m                 \u001b[0mnot_found\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1645\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"{not_found} not in index\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1646\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1647\u001b[0m             \u001b[0;31m# we skip the warning on Categorical/Interval\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;31mKeyError\u001b[0m: \"['Situação'] not in index\""
         ]
        }
       ]
      }
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      }
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          "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>Data</th>\n      <th>Código</th>\n      <th>Quantidade de C/V</th>\n      <th>&lt;Preço&gt;</th>\n      <th>&lt;Valor Total&gt;</th>\n      <th>Corretora</th>\n      <th>Posição</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>17</th>\n      <td>2019-08-05</td>\n      <td>JBSS3</td>\n      <td>-16.0</td>\n      <td>26.855</td>\n      <td>429.68</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>2019-09-02</td>\n      <td>CVCB3</td>\n      <td>-9.0</td>\n      <td>51.000</td>\n      <td>459.00</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>2019-09-02</td>\n      <td>RAIL3</td>\n      <td>-20.0</td>\n      <td>22.170</td>\n      <td>443.40</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>2019-09-02</td>\n      <td>ANIM3</td>\n      <td>-20.0</td>\n      <td>21.270</td>\n      <td>425.40</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>2019-09-02</td>\n      <td>B3SA3</td>\n      <td>-10.0</td>\n      <td>43.070</td>\n      <td>430.70</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>2019-09-02</td>\n      <td>LREN3</td>\n      <td>-10.0</td>\n      <td>49.320</td>\n      <td>493.20</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>2019-09-02</td>\n      <td>PCAR4</td>\n      <td>-5.0</td>\n      <td>94.860</td>\n      <td>474.30</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>2019-09-02</td>\n      <td>RENT3</td>\n      <td>-11.0</td>\n      <td>44.380</td>\n      <td>488.18</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>2019-09-02</td>\n      <td>IRBR3</td>\n      <td>-5.0</td>\n      <td>91.500</td>\n      <td>457.50</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
          "text/plain": "         Data Código  Quantidade de C/V  <Preço>  <Valor Total> Corretora  \\\n17 2019-08-05  JBSS3              -16.0   26.855         429.68     MODAL   \n23 2019-09-02  CVCB3               -9.0   51.000         459.00     MODAL   \n27 2019-09-02  RAIL3              -20.0   22.170         443.40     MODAL   \n21 2019-09-02  ANIM3              -20.0   21.270         425.40     MODAL   \n22 2019-09-02  B3SA3              -10.0   43.070         430.70     MODAL   \n25 2019-09-02  LREN3              -10.0   49.320         493.20     MODAL   \n26 2019-09-02  PCAR4               -5.0   94.860         474.30     MODAL   \n28 2019-09-02  RENT3              -11.0   44.380         488.18     MODAL   \n24 2019-09-02  IRBR3               -5.0   91.500         457.50     MODAL   \n\n   Posição  \n17  Zerada  \n23  Zerada  \n27  Zerada  \n21  Zerada  \n22  Zerada  \n25  Zerada  \n26  Zerada  \n28  Zerada  \n24  Zerada  "
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          "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>Data</th>\n      <th>Código</th>\n      <th>Mercado</th>\n      <th>Especificação</th>\n      <th>Tipo de Execução</th>\n      <th>Corretora</th>\n      <th>Quantidade de C/V</th>\n      <th>Valor Total</th>\n      <th>Preço de C/V</th>\n      <th>Preço Atual</th>\n      <th>L/P</th>\n      <th>Quantidade Atual</th>\n      <th>Mês</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2019-07-11</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>530.0</td>\n      <td>53.0</td>\n      <td>53.0</td>\n      <td>0.0</td>\n      <td>10.0</td>\n      <td>July</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2019-07-19</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-10.0</td>\n      <td>487.0</td>\n      <td>48.7</td>\n      <td>53.0</td>\n      <td>-43.0</td>\n      <td>0.0</td>\n      <td>July</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>2019-08-01</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>9.0</td>\n      <td>459.0</td>\n      <td>51.0</td>\n      <td>51.0</td>\n      <td>0.0</td>\n      <td>9.0</td>\n      <td>August</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>2019-09-02</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-9.0</td>\n      <td>474.3</td>\n      <td>52.7</td>\n      <td>51.0</td>\n      <td>15.3</td>\n      <td>0.0</td>\n      <td>September</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
          "text/plain": "         Data Código      Mercado            Especificação Tipo de Execução  \\\n0  2019-07-11  CVCB3  Fracionário  CVC BRASIL   ON      NM                C   \n4  2019-07-19  CVCB3  Fracionário  CVC BRASIL   ON      NM                V   \n7  2019-08-01  CVCB3  Fracionário  CVC BRASIL   ON      NM                C   \n23 2019-09-02  CVCB3  Fracionário  CVC BRASIL   ON      NM                V   \n\n   Corretora  Quantidade de C/V  Valor Total  Preço de C/V  Preço Atual   L/P  \\\n0      MODAL               10.0        530.0          53.0         53.0   0.0   \n4      MODAL              -10.0        487.0          48.7         53.0 -43.0   \n7      MODAL                9.0        459.0          51.0         51.0   0.0   \n23     MODAL               -9.0        474.3          52.7         51.0  15.3   \n\n    Quantidade Atual        Mês  \n0               10.0       July  \n4                0.0       July  \n7                9.0     August  \n23               0.0  September  "
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         "evalue": "name 'df_f' is not defined",
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          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
          "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/ipywidgets/widgets/interaction.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    254\u001b[0m                     \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_interact_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    255\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kwarg\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 256\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    257\u001b[0m                 \u001b[0mshow_inline_matplotlib_plots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    258\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauto_display\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-144-cce6fb875f06>\u001b[0m in \u001b[0;36mf\u001b[0;34m(corretora)\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf_ativos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdf_ativos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Corretora'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mcorretora\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m     \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcarteira_de_acoes_atual\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf_f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moffline\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m     \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Posição'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'Comprada'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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         "text": "\nJá creditados em 2020:\n"
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          "text/plain": "         Ativo Especificação  Código Tipo   Previsão  Valor Corretora Recebi\n3    PETROBRAS         PN N2   PETR4  jcp 2020-02-01   6.63     modal      s\n4    PETROBRAS         PN N2   PETR4  jcp 2020-02-01  13.93     modal      s\n11      MOVIDA      ON EJ NM   MOVI3  jcp 2020-01-01   2.46     clear      s\n12  LOCAMERICA         ON NM   LCAM3  jcp 2020-01-01   1.96     clear      s\n13  KLABIN S/A        UNT N2  KLBN11  jcp 2020-02-01   4.68     clear      s"
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         "text": "\nJá creditados em 2019:\n"
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         "text": "\nCrédito em transito:\n"
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          "text/plain": "         Data  Código  Quantidade de C/V  <Preço>  <Valor Total> Situação  \\\n43 2019-10-01   BBDC3              -16.0    30.55         488.80   Zerada   \n44 2019-10-01   BBSE3              -15.0    32.90         493.50   Zerada   \n45 2019-10-01   CSNA3              -35.0    14.53         508.55   Zerada   \n46 2019-10-01   EVEN3              -65.0    10.84         704.60   Zerada   \n54 2019-11-04   MOVI3              -31.0    15.71         487.01   Zerada   \n55 2019-11-04  SANB11              -12.0    45.65         547.80   Zerada   \n56 2019-11-04   SBSP3              -11.0    49.90         548.90   Zerada   \n58 2019-12-02   IRBR3              -14.0    37.80         529.20   Zerada   \n57 2019-12-02   BBDC4              -15.0    35.05         525.75   Zerada   \n\n   Corretora  \n43     CLEAR  \n44     CLEAR  \n45     CLEAR  \n46     CLEAR  \n54     CLEAR  \n55     CLEAR  \n56     CLEAR  \n58     CLEAR  \n57     CLEAR  "
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         "text": "Já creditados em 2019:\n"
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          "text/plain": "         Data Código      Mercado            Especificação Tipo de Execução  \\\n0  2019-07-11  CVCB3  Fracionário  CVC BRASIL   ON      NM                C   \n4  2019-07-19  CVCB3  Fracionário  CVC BRASIL   ON      NM                V   \n7  2019-08-01  CVCB3  Fracionário  CVC BRASIL   ON      NM                C   \n23 2019-09-02  CVCB3  Fracionário  CVC BRASIL   ON      NM                V   \n\n   Corretora  Quantidade de C/V  Valor Total  Preço de C/V  Preço Atual   L/P  \\\n0      MODAL               10.0        530.0          53.0         53.0   0.0   \n4      MODAL              -10.0        487.0          48.7         53.0 -43.0   \n7      MODAL                9.0        459.0          51.0         51.0   0.0   \n23     MODAL               -9.0        474.3          52.7         51.0  15.3   \n\n    Quantidade Atual  \n0               10.0  \n4                0.0  \n7                9.0  \n23               0.0  "
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          "text/plain": "         Data Código  Quantidade de C/V  <Preço>  <Valor Total> Situação  \\\n17 2019-08-05  JBSS3              -16.0   26.855         429.68   Zerada   \n23 2019-09-02  CVCB3               -9.0   51.000         459.00   Zerada   \n27 2019-09-02  RAIL3              -20.0   22.170         443.40   Zerada   \n21 2019-09-02  ANIM3              -20.0   21.270         425.40   Zerada   \n22 2019-09-02  B3SA3              -10.0   43.070         430.70   Zerada   \n25 2019-09-02  LREN3              -10.0   49.320         493.20   Zerada   \n26 2019-09-02  PCAR4               -5.0   94.860         474.30   Zerada   \n28 2019-09-02  RENT3              -11.0   44.380         488.18   Zerada   \n24 2019-09-02  IRBR3               -5.0   91.500         457.50   Zerada   \n\n   Corretora  \n17     MODAL  \n23     MODAL  \n27     MODAL  \n21     MODAL  \n22     MODAL  \n25     MODAL  \n26     MODAL  \n28     MODAL  \n24     MODAL  "
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          "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>Data</th>\n      <th>Código</th>\n      <th>Mercado</th>\n      <th>Especificação</th>\n      <th>Tipo de Execução</th>\n      <th>Corretora</th>\n      <th>Quantidade de C/V</th>\n      <th>Valor Total</th>\n      <th>Preço de C/V</th>\n      <th>Preço Atual</th>\n      <th>L/P</th>\n      <th>Quantidade Atual</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2019-07-11</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>10.0</td>\n      <td>530.0</td>\n      <td>53.0</td>\n      <td>53.0</td>\n      <td>0.0</td>\n      <td>10.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2019-07-19</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-10.0</td>\n      <td>487.0</td>\n      <td>48.7</td>\n      <td>53.0</td>\n      <td>-43.0</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>2019-08-01</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>C</td>\n      <td>MODAL</td>\n      <td>9.0</td>\n      <td>459.0</td>\n      <td>51.0</td>\n      <td>51.0</td>\n      <td>0.0</td>\n      <td>9.0</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>2019-09-02</td>\n      <td>CVCB3</td>\n      <td>Fracionário</td>\n      <td>CVC BRASIL   ON      NM</td>\n      <td>V</td>\n      <td>MODAL</td>\n      <td>-9.0</td>\n      <td>474.3</td>\n      <td>52.7</td>\n      <td>51.0</td>\n      <td>15.3</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
          "text/plain": "         Data Código      Mercado            Especificação Tipo de Execução  \\\n0  2019-07-11  CVCB3  Fracionário  CVC BRASIL   ON      NM                C   \n4  2019-07-19  CVCB3  Fracionário  CVC BRASIL   ON      NM                V   \n7  2019-08-01  CVCB3  Fracionário  CVC BRASIL   ON      NM                C   \n23 2019-09-02  CVCB3  Fracionário  CVC BRASIL   ON      NM                V   \n\n   Corretora  Quantidade de C/V  Valor Total  Preço de C/V  Preço Atual   L/P  \\\n0      MODAL               10.0        530.0          53.0         53.0   0.0   \n4      MODAL              -10.0        487.0          48.7         53.0 -43.0   \n7      MODAL                9.0        459.0          51.0         51.0   0.0   \n23     MODAL               -9.0        474.3          52.7         51.0  15.3   \n\n    Quantidade Atual  \n0               10.0  \n4                0.0  \n7                9.0  \n23               0.0  "
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      "state": {
       "layout": "IPY_MODEL_9ec067a9a51c4fba9dd702af225353e0",
       "outputs": [
        {
         "ename": "IndexError",
         "evalue": "single positional indexer is out-of-bounds",
         "output_type": "error",
         "traceback": [
          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
          "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/ipywidgets/widgets/interaction.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    254\u001b[0m                     \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_interact_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    255\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kwarg\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 256\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    257\u001b[0m                 \u001b[0mshow_inline_matplotlib_plots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    258\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauto_display\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-111-0c8ad3ef1f94>\u001b[0m in \u001b[0;36mf\u001b[0;34m(corretora)\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0mdf_f\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf_ativos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdf_ativos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Corretora'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mcorretora\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m     \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcarteira_de_acoes_atual\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf_f\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moffline\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0minteractive\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcorretora\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdf_ativos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Corretora'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-103-253fe6605bb8>\u001b[0m in \u001b[0;36mcarteira_de_acoes_atual\u001b[0;34m(df, offline)\u001b[0m\n\u001b[1;32m      9\u001b[0m         \u001b[0mlast_idx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Código'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mcod\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlast_valid_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m         \u001b[0mcarteira\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcarteira\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mlast_idx\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mignore_index\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     13\u001b[0m     \u001b[0mcarteira\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcarteira\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcarteira\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Quantidade Atual'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m0.0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   1765\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1766\u001b[0m             \u001b[0mmaybe_callable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply_if_callable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1767\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmaybe_callable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1768\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1769\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_is_scalar_access\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_getitem_axis\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m   2135\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2136\u001b[0m             \u001b[0;31m# validate the location\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2137\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_validate_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2138\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2139\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_validate_integer\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m   2060\u001b[0m         \u001b[0mlen_axis\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2061\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0mlen_axis\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0mlen_axis\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2062\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mIndexError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"single positional indexer is out-of-bounds\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2063\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2064\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_getitem_tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtup\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mTuple\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;31mIndexError\u001b[0m: single positional indexer is out-of-bounds"
         ]
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        "IPY_MODEL_737960e461544d52989e577fa9218985"
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          "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>Data</th>\n      <th>Código</th>\n      <th>Quantidade Atual</th>\n      <th>&lt;Preço&gt;</th>\n      <th>&lt;Valor Total&gt;</th>\n      <th>Corretora</th>\n      <th>Posição</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2019-09-05</td>\n      <td>CYRE3</td>\n      <td>21.0</td>\n      <td>24.160000</td>\n      <td>507.36</td>\n      <td>CLEAR</td>\n      <td>Comprada</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2019-10-01</td>\n      <td>EZTC3</td>\n      <td>15.0</td>\n      <td>36.420000</td>\n      <td>546.30</td>\n      <td>CLEAR</td>\n      <td>Comprada</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2019-11-04</td>\n      <td>JBSS3</td>\n      <td>21.0</td>\n      <td>28.494762</td>\n      <td>598.39</td>\n      <td>CLEAR</td>\n      <td>Comprada</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2019-11-04</td>\n      <td>LCAM3</td>\n      <td>29.0</td>\n      <td>17.750000</td>\n      <td>514.75</td>\n      <td>CLEAR</td>\n      <td>Comprada</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2019-12-03</td>\n      <td>KLBN11</td>\n      <td>29.0</td>\n      <td>18.150000</td>\n      <td>526.35</td>\n      <td>CLEAR</td>\n      <td>Comprada</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>2019-12-03</td>\n      <td>RAIL3</td>\n      <td>21.0</td>\n      <td>25.220000</td>\n      <td>529.62</td>\n      <td>CLEAR</td>\n      <td>Comprada</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
          "text/plain": "        Data  Código  Quantidade Atual    <Preço>  <Valor Total> Corretora  \\\n0 2019-09-05   CYRE3              21.0  24.160000         507.36     CLEAR   \n1 2019-10-01   EZTC3              15.0  36.420000         546.30     CLEAR   \n2 2019-11-04   JBSS3              21.0  28.494762         598.39     CLEAR   \n3 2019-11-04   LCAM3              29.0  17.750000         514.75     CLEAR   \n4 2019-12-03  KLBN11              29.0  18.150000         526.35     CLEAR   \n5 2019-12-03   RAIL3              21.0  25.220000         529.62     CLEAR   \n\n    Posição  \n0  Comprada  \n1  Comprada  \n2  Comprada  \n3  Comprada  \n4  Comprada  \n5  Comprada  "
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        {
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          "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>Data</th>\n      <th>Código</th>\n      <th>Quantidade Atual</th>\n      <th>&lt;Preço&gt;</th>\n      <th>&lt;Valor Total&gt;</th>\n      <th>Corretora</th>\n      <th>Posição</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2019-09-05</td>\n      <td>PETR4</td>\n      <td>39.0</td>\n      <td>26.376410</td>\n      <td>1028.68</td>\n      <td>MODAL</td>\n      <td>Comprada</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2019-09-05</td>\n      <td>VALE3</td>\n      <td>25.0</td>\n      <td>49.798000</td>\n      <td>1244.95</td>\n      <td>MODAL</td>\n      <td>Comprada</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2019-09-05</td>\n      <td>MGLU3</td>\n      <td>33.0</td>\n      <td>34.856667</td>\n      <td>1150.27</td>\n      <td>MODAL</td>\n      <td>Comprada</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2019-09-12</td>\n      <td>VVAR3</td>\n      <td>100.0</td>\n      <td>7.758000</td>\n      <td>775.80</td>\n      <td>MODAL</td>\n      <td>Comprada</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
          "text/plain": "        Data Código  Quantidade Atual    <Preço>  <Valor Total> Corretora  \\\n0 2019-09-05  PETR4              39.0  26.376410        1028.68     MODAL   \n1 2019-09-05  VALE3              25.0  49.798000        1244.95     MODAL   \n2 2019-09-05  MGLU3              33.0  34.856667        1150.27     MODAL   \n3 2019-09-12  VVAR3             100.0   7.758000         775.80     MODAL   \n\n    Posição  \n0  Comprada  \n1  Comprada  \n2  Comprada  \n3  Comprada  "
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      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
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      "state": {
       "layout": "IPY_MODEL_43da124934264d019c40e2f3faf4c346",
       "outputs": [
        {
         "ename": "KeyError",
         "evalue": "\"['Posição'] not in index\"",
         "output_type": "error",
         "traceback": [
          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
          "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/ipywidgets/widgets/interaction.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    254\u001b[0m                     \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_interact_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    255\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kwarg\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 256\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    257\u001b[0m                 \u001b[0mshow_inline_matplotlib_plots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    258\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauto_display\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-142-c75b923928c6>\u001b[0m in \u001b[0;36mf\u001b[0;34m(corretora)\u001b[0m\n\u001b[1;32m     27\u001b[0m     \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'posição'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'Zerada'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 29\u001b[0;31m     \u001b[0mdisplay\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Data'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Código'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Quantidade de C/V'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'<Preço>'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'<Valor Total>'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Posição'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Corretora'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     30\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     31\u001b[0m \u001b[0minteractive\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcorretora\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdf_ativos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Corretora'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2804\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mis_iterator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2805\u001b[0m                 \u001b[0mkey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2806\u001b[0;31m             \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_listlike_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mraise_missing\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2807\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2808\u001b[0m         \u001b[0;31m# take() does not accept boolean indexers\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_get_listlike_indexer\u001b[0;34m(self, key, axis, raise_missing)\u001b[0m\n\u001b[1;32m   1550\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1551\u001b[0m         self._validate_read_indexer(\n\u001b[0;32m-> 1552\u001b[0;31m             \u001b[0mkeyarr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindexer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_axis_number\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mraise_missing\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mraise_missing\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1553\u001b[0m         )\n\u001b[1;32m   1554\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mkeyarr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindexer\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m~/anaconda3/envs/data/lib/python3.7/site-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_validate_read_indexer\u001b[0;34m(self, key, indexer, axis, raise_missing)\u001b[0m\n\u001b[1;32m   1643\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"loc\"\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mraise_missing\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1644\u001b[0m                 \u001b[0mnot_found\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1645\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"{not_found} not in index\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1646\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1647\u001b[0m             \u001b[0;31m# we skip the warning on Categorical/Interval\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;31mKeyError\u001b[0m: \"['Posição'] not in index\""
         ]
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          "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>Data</th>\n      <th>Código</th>\n      <th>Quantidade de C/V</th>\n      <th>&lt;Preço&gt;</th>\n      <th>&lt;Valor Total&gt;</th>\n      <th>Corretora</th>\n      <th>Posição</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>17</th>\n      <td>2019-08-05</td>\n      <td>JBSS3</td>\n      <td>-16.0</td>\n      <td>26.855</td>\n      <td>429.68</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>2019-09-02</td>\n      <td>CVCB3</td>\n      <td>-9.0</td>\n      <td>51.000</td>\n      <td>459.00</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>2019-09-02</td>\n      <td>RAIL3</td>\n      <td>-20.0</td>\n      <td>22.170</td>\n      <td>443.40</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>2019-09-02</td>\n      <td>ANIM3</td>\n      <td>-20.0</td>\n      <td>21.270</td>\n      <td>425.40</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>2019-09-02</td>\n      <td>B3SA3</td>\n      <td>-10.0</td>\n      <td>43.070</td>\n      <td>430.70</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>2019-09-02</td>\n      <td>LREN3</td>\n      <td>-10.0</td>\n      <td>49.320</td>\n      <td>493.20</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>2019-09-02</td>\n      <td>PCAR4</td>\n      <td>-5.0</td>\n      <td>94.860</td>\n      <td>474.30</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>2019-09-02</td>\n      <td>RENT3</td>\n      <td>-11.0</td>\n      <td>44.380</td>\n      <td>488.18</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>2019-09-02</td>\n      <td>IRBR3</td>\n      <td>-5.0</td>\n      <td>91.500</td>\n      <td>457.50</td>\n      <td>MODAL</td>\n      <td>Zerada</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
          "text/plain": "         Data Código  Quantidade de C/V  <Preço>  <Valor Total> Corretora  \\\n17 2019-08-05  JBSS3              -16.0   26.855         429.68     MODAL   \n23 2019-09-02  CVCB3               -9.0   51.000         459.00     MODAL   \n27 2019-09-02  RAIL3              -20.0   22.170         443.40     MODAL   \n21 2019-09-02  ANIM3              -20.0   21.270         425.40     MODAL   \n22 2019-09-02  B3SA3              -10.0   43.070         430.70     MODAL   \n25 2019-09-02  LREN3              -10.0   49.320         493.20     MODAL   \n26 2019-09-02  PCAR4               -5.0   94.860         474.30     MODAL   \n28 2019-09-02  RENT3              -11.0   44.380         488.18     MODAL   \n24 2019-09-02  IRBR3               -5.0   91.500         457.50     MODAL   \n\n   Posição  \n17  Zerada  \n23  Zerada  \n27  Zerada  \n21  Zerada  \n22  Zerada  \n25  Zerada  \n26  Zerada  \n28  Zerada  \n24  Zerada  "
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          "text/plain": "         Data Código  Quantidade de C/V  <Preço>  <Valor Total> Posição  \\\n17 2019-08-05  JBSS3              -16.0   26.855         429.68  Zerada   \n23 2019-09-02  CVCB3               -9.0   51.000         459.00  Zerada   \n27 2019-09-02  RAIL3              -20.0   22.170         443.40  Zerada   \n21 2019-09-02  ANIM3              -20.0   21.270         425.40  Zerada   \n22 2019-09-02  B3SA3              -10.0   43.070         430.70  Zerada   \n25 2019-09-02  LREN3              -10.0   49.320         493.20  Zerada   \n26 2019-09-02  PCAR4               -5.0   94.860         474.30  Zerada   \n28 2019-09-02  RENT3              -11.0   44.380         488.18  Zerada   \n24 2019-09-02  IRBR3               -5.0   91.500         457.50  Zerada   \n\n   Corretora  \n17     MODAL  \n23     MODAL  \n27     MODAL  \n21     MODAL  \n22     MODAL  \n25     MODAL  \n26     MODAL  \n28     MODAL  \n24     MODAL  "
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