Metadata-Version: 1.1
Name: wrds
Version: 3.0.1
Summary: Python access to WRDS Data
Home-page: http://www.whartonwrds.com
Author: WRDS
Author-email: wrds@wharton.upenn.edu
License: UNKNOWN
Description: WRDS Python Data Access Library
        ===============================
        
        WRDS-Py is a library for extracting data from WRDS data sources and getting it into Pandas.
        The library allows users to access SAS/SHARE and extract data using SQL statements. The data
        that is returned is read into a Pandas data frame.
        
        Installation
        ~~~~~~~~~~~~
        
        Mac OS/Linux
        
        $ python setup.py install
        
        Windows
        
        The WRDS-PY package requires Pandas and Psycopg2. Binaries of these can be found here:
        http://www.lfd.uci.edu/~gohlke/pythonlibs/#psycopg
        
        Once the two required packages are installed, you can run
        $ python setup.py install
        
        For more information please consult the WRDS Support section at https://wrds-web.wharton.upenn.edu/wrds/support/.
        
        Usage
        ~~~~~
        
        >>> import wrds
        >>> db = wrds.Connection()
        Enter your credentials.
        Username: <your_username>
        Password: <your_password>
        >>> db.list_libraries()
        ['audit', 'bank', 'block', 'bvd', 'bvdtrial', 'cboe', ...]
        >>> db.list_tables(library='crsp')
        ['aco_amda', 'aco_imda', 'aco_indfnta', 'aco_indfntq', ...]
        >>> db.describe_table(library='csrp', table='stocknames')
        Approximately 58957 rows in crsp.stocknames.
               name    nullable              type
        0      permno      True  DOUBLE PRECISION      
        1      permco      True  DOUBLE PRECISION      
        2      namedt      True              DATE
        ...
        
        >>> stocknames = db.get_table(library='crsp', table='stocknames', obs=10) 
        >>> stocknames.head()
           permno  permco      namedt   nameenddt     cusip    ncusip ticker  \
        0  10000.0  7952.0  1986-01-07  1987-06-11  68391610  68391610  OMFGA
        1  10001.0  7953.0  1986-01-09  1993-11-21  36720410  39040610   GFGC
        2  10001.0  7953.0  1993-11-22  2008-02-04  36720410  29274A10   EWST
        3  10001.0  7953.0  2008-02-05  2009-08-03  36720410  29274A20   EWST
        4  10001.0  7953.0  2009-08-04  2009-12-17  36720410  29269V10   EGAS
        ...
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Office/Business :: Financial
Classifier: Topic :: Scientific/Engineering :: Information Analysis
