Pybacen
This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)
Installation
Install using pip
pip install pybacen
Usage
Time Series Bacen
from pybacen.bacen 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
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