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
53 Mar 09, 2022
1 Dec 10, 2021
5 Nov 30, 2022
1 Oct 11, 2021
6.4k Jan 06, 2023
167 Nov 20, 2022
1 Feb 08, 2022
25 Dec 10, 2021
28 Oct 21, 2022
21 Jan 14, 2022
37 Nov 24, 2022
4 Aug 30, 2022
17 Aug 24, 2022
1 Feb 06, 2022
3.3k Dec 26, 2022
95 Dec 25, 2022
19 Dec 24, 2022
6 Nov 12, 2022
381 Dec 30, 2022
28 Dec 30, 2022