File python3-pandas.changes of Package python3-pandas

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Tue Jul 15 12:31:13 UTC 2014 - toddrme2178@gmail.com

- Update to 0.14.1, highlights:  
  - New methods :meth:`~pandas.DataFrame.select_dtypes` to select columns
    based on the dtype and :meth:`~pandas.Series.sem` to calculate the
    standard error of the mean.
  - Support for dateutil timezones (see :ref:`docs <timeseries.timezone>`).
  - Support for ignoring full line comments in the :func:`~pandas.read_csv`
    text parser.
  - New documentation section on :ref:`Options and Settings <options>`.
  - Lots of bug fixes.

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Sun Jun  1 07:41:11 UTC 2014 - toddrme2178@gmail.com

- Update to 0.14.0, highlights:  
  * Officially support Python 3.4
  * SQL interfaces updated to use sqlalchemy
  * Display interface changes
  * MultiIndexing Using Slicers
  * Ability to join a singly-indexed DataFrame with a multi-indexed DataFrame
  * More consistency in groupby results and more flexible groupby specifications
  * Holiday calendars are now supported in CustomBusinessDay
  * Several improvements in plotting functions, including: hexbin, area and pie plots
  * Performance doc section on I/O operations, See Here
- Added python3-SQLAlchemy dependency

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Fri Mar  7 04:04:44 UTC 2014 - arun@gmx.de

- updated to 0.13.1

  500 lines worth of Changelog entries, so too long:) For a complete
  list see: http://pandas.pydata.org/pandas-docs/dev/release.html 

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Mon Oct 21 21:59:47 UTC 2013 - toddrme2178@gmail.com

- Update to 0.12.0
  * Integrated JSON reading and writing with the read_json
    functions and methods like DataFrame.to_json.
  * New HTML table reading function read_html which will use either
    lxml or BeautifulSoup under the hood.
  * Support for reading and writing STATA format files.
- Add all optional dependencies as Recommends
- Build and install documentation
- Add pandas-0.12.0-objToJSON_return_fix.patch, which should be included
  upstream in the next release

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Mon May  6 06:02:50 UTC 2013 - highwaystar.ru@gmail.com

- added Recommends:python3-tables
- python3 package added
- update to 0.11.0
 * New precision indexing fields loc, iloc, at, and iat, to reduce 
 occasional ambiguity in the catch-all hitherto ix method.
 * Expanded support for NumPy data types in DataFrame
 * NumExpr integration to accelerate various operator evaluation
 * New Cookbook and 10 minutes to pandas pages in the documentation 
 by Jeff Reback
 * Improved DataFrame to CSV exporting performance
 

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