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
13 Nov 17, 2022
7 Dec 01, 2021
21 Dec 11, 2022
1 Jan 06, 2022
1 Jan 15, 2022
125 Dec 19, 2022
1 Jan 28, 2022
1 Feb 10, 2022
127 Dec 22, 2022
1 Nov 03, 2021
26 Dec 15, 2022
63 Dec 14, 2022
1 Dec 20, 2021
7.3k Jan 01, 2023
33 Nov 01, 2022
17 Feb 02, 2022
1 Dec 21, 2021
5 Jan 26, 2022
2 Jun 08, 2022
3 May 16, 2022