Pybacen

This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)

⚠️ Under construction ⚠️

Installation

Install using pip

pip install pybacen

Usage

Time Series Bacen

from pybacen import time_series # Source: SGS - Sistema Gerenciador de Séries Temporais - v2.1 (Bacen - Banco Central)

# To consult the Bacen code, use it as a parameter when consulting the time series
list_code_bacen = time_series.read_bacen_code(search_text='%CDI%ANUALIZADA%252%', period= 'D', unit= '% a.a.')

list_code_bacen
COD_BACEN NM_SERIE UNIDADE PERIODICIDADE FONTE ESPECIAL
4015 4389 Taxa de juros – CDI anualizada base 252 % a.a. D BCB-Demab N

ts = time_series.read_time_series(bacen_code= 4389, start='2021-11-04', end='2021-11-04', as_index=True)

ts
valor
date
2021-11-04 7.65

Stock Quote – Yahoo Finance

from pybacen.yahoo_finance import stocks # Source: Yahoo Finance - Stock Quote

# Ibovespa - 2021-11-05
sq = stocks.read_stock_quote(stock_code='^BVSP', start= '2021-11-05', end= '2021-11-05', as_index= True)

sq
open high low close volume adjclose
date
2021-11-05 103412.0 105555.0 103412.0 104824.0 12595000.0 104824.0

Requirements

Using pandas datareader requires the following packages:

  • pandas>=1.0
  • requests>=2.19.0

Install latest development version

python -m pip install pip install pybacen

or

git clone https://github.com/RPCastro07/pybacen.git
cd pybacen
python setup.py install

GitHub

View Github