bcb_api.ipynb

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   "cell_type": "markdown",
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   "source": [
    "## API do Banco Central do Brasil (BCB)\n",
    "\n",
    "\n",
    "Links:\n",
    "\n",
    "[Consultar identificadores das séries no Sistema Gerenciador de Séries Temporais (SGS)](https://www3.bcb.gov.br/sgspub/localizarseries/localizarSeries.do?method=prepararTelaLocalizarSeries)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import plotly.express as px\n",
    "import plotly.io as pio\n",
    "pio.templates.default = 'plotly_dark'"
   ]
  },
  {
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   "execution_count": 49,
   "metadata": {},
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pib</th>\n",
       "      <th>selic</th>\n",
       "      <th>desemprego</th>\n",
       "      <th>M1</th>\n",
       "      <th>IGP-M</th>\n",
       "      <th>IPCA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2021-09-01</th>\n",
       "      <td>731334.1</td>\n",
       "      <td>0.44</td>\n",
       "      <td>12.6</td>\n",
       "      <td>629638197</td>\n",
       "      <td>-0.64</td>\n",
       "      <td>1.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-10-01</th>\n",
       "      <td>739982.7</td>\n",
       "      <td>0.49</td>\n",
       "      <td>12.1</td>\n",
       "      <td>619047658</td>\n",
       "      <td>0.64</td>\n",
       "      <td>1.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-11-01</th>\n",
       "      <td>755731.3</td>\n",
       "      <td>0.59</td>\n",
       "      <td>11.6</td>\n",
       "      <td>600155328</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-01</th>\n",
       "      <td>759981.1</td>\n",
       "      <td>0.77</td>\n",
       "      <td>11.1</td>\n",
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       "      <td>0.87</td>\n",
       "      <td>0.73</td>\n",
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       "    <tr>\n",
       "      <th>2022-01-01</th>\n",
       "      <td>742147.6</td>\n",
       "      <td>0.73</td>\n",
       "      <td>NaN</td>\n",
       "      <td>593939000</td>\n",
       "      <td>1.82</td>\n",
       "      <td>0.54</td>\n",
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       "                 pib  selic  desemprego         M1  IGP-M  IPCA\n",
       "data                                                           \n",
       "2021-09-01  731334.1   0.44        12.6  629638197  -0.64  1.16\n",
       "2021-10-01  739982.7   0.49        12.1  619047658   0.64  1.25\n",
       "2021-11-01  755731.3   0.59        11.6  600155328   0.02  0.95\n",
       "2021-12-01  759981.1   0.77        11.1  630799318   0.87  0.73\n",
       "2022-01-01  742147.6   0.73         NaN  593939000   1.82  0.54"
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   "source": [
    "def consulta_bc(codigo_bc):\n",
    "    url = 'http://api.bcb.gov.br/dados/serie/bcdata.sgs.{}/dados?formato=json'.format(\n",
    "        codigo_bc\n",
    "        )\n",
    "    df = pd.read_json(url)\n",
    "    df['data'] = pd.to_datetime(df['data'], dayfirst = True)\n",
    "    df.set_index('data', inplace = True)\n",
    "    return df.loc['2015-01-01' : '2022-01-12'] # date\n",
    "\n",
    "\n",
    "pib = consulta_bc(4380)\n",
    "tx_selic = consulta_bc(4390) # % a.m.\n",
    "desemprego = consulta_bc(24369) \n",
    "m1 = consulta_bc(27791)\n",
    "igpm = consulta_bc(189) # Var. % mensal\n",
    "ipca= consulta_bc(433) # Var. % mensal\n",
    "\n",
    "\n",
    "data = [pib, tx_selic, desemprego, m1, igpm, ipca]\n",
    "df = pd.concat(data, axis=1)\n",
    "df.columns = ['pib', 'selic', 'desemprego', 'M1', 'IGP-M',\"IPCA\"]\n",
    "df.tail(5)"
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