Metadata-Version: 2.1
Name: wrds
Version: 3.0.5
Summary: Python access to WRDS Data
Home-page: http://www.whartonwrds.com
Author: WRDS
Author-email: wrds@wharton.upenn.edu
License: UNKNOWN
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
Requires-Dist: pandas
Requires-Dist: sqlalchemy
Requires-Dist: psycopg2
Requires-Dist: mock

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 data from WRDS 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='crsp', 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

>>> db.close()  # Close the connection to the database...

>>> with wrds.Connection() as db:  # You can use a context manager
...    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


