Metadata-Version: 2.1
Name: sgs
Version: 2.1.0
Summary: Python wrapper para o webservice do SGS - Sistema Gerenciador de Series Temporais do Banco Central do Brasil.
Home-page: https://github.com/rafpyprog/pySGS
Author: Rafael Alves Ribeiro
Author-email: rafael.alves.ribeiro@gmail.com
License: MIT
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        |pic 1| **SGS**
        =================
        
        .. |pic 1| image:: https://raw.githubusercontent.com/rafpyprog/sgs/master/icon.png
        
        Introduction
        ------------
        This library provides a pure Python interface for the Brazilian Central Bank's
        `Time Series Management System (SGS) <https://www.bcb.gov.br/?sgs>`_  api.
        It works with Python 3.5 and above.
        
        SGS is a service with more than 18,000 time series with economical and financial information.
        This library is intended to make it easier for Python programmers to use this data in projects of
        any kind, providing mechanisms to search for, extract and join series.
        
        
        Quickstart
        ----------
        Access time series data with **sgs** is very simple
        
        Begin by importing the ``sgs`` module:
        
        
        .. code-block:: python
        
            import sgs
        
        
        Now, let's try to get a time serie. For this example, let's get the
        "Interest rate - CDI" time serie in 2018, wich has the code 12.
        
        
        .. code-block:: python
        
            CDI_CODE = 12
            ts = sgs.time_serie(CDI_CODE, start='02/01/2018', end='31/12/2018')
        
        
        Now, we have a Pandas Series object called ``ts``, with all the data and
        the index representing the dates.
        
        .. code-block:: python
        
            ts.head()
        
        +------------+----------+
        | 2018-01-02 | 0.026444 |
        +------------+----------+
        | 2018-01-03 | 0.026444 |
        +------------+----------+
        | 2018-01-04 | 0.026444 |
        +------------+----------+
        | 2018-01-05 | 0.026444 |
        +------------+----------+
        | 2018-01-08 | 0.026444 |
        +------------+----------+
        
        Feature Suport
        --------------
        
        * Get time serie data with an one-liner using ``sgs.time_serie``
        * Create a dataframe from a list of time series codes with ``sgs.dataframe``
        * Search time series by text or code with ``sgs.search_ts``
        * Get metadata from all the series in a dataframe using ``sgs.metadata``
        * Support to search and metadata in English and Portuguese
        * Automatic retry
        * Automatic cached requests
        
        
        Installation
        ------------
        To install, simply use pip:
        
        .. code-block:: bash
        
            $ pip install sgs
        
        Documentation
        -------------
        
        Complete documentation is available at https://pysgs.readthedocs.io/en/stable/.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.5
Provides-Extra: dev
