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PR/49958 CVS commit: pkgsrc/math/py-pandas



The following reply was made to PR pkg/49958; it has been noted by GNATS.

From: "Christoph Badura" <bad%netbsd.org@localhost>
To: gnats-bugs%gnats.NetBSD.org@localhost
Cc: 
Subject: PR/49958 CVS commit: pkgsrc/math/py-pandas
Date: Tue, 21 Jul 2015 19:44:45 +0000

 Module Name:	pkgsrc
 Committed By:	bad
 Date:		Tue Jul 21 19:44:45 UTC 2015
 
 Modified Files:
 	pkgsrc/math/py-pandas: Makefile PLIST distinfo
 
 Log Message:
 Update py-pandas to 0.16.2.
 
 Closes PR pkg/49958 by matthewd.
 
 Changes since 0.14.1 for a full list see
 http://pandas.pydata.org/pandas-docs/stable/whatsnew.html:
 
 v 0.16.2
 
 This is a minor bug-fix release from 0.16.1 and includes a a large
 number of bug fixes along some new features (pipe() method),
 enhancements, and performance improvements.
 
 We recommend that all users upgrade to this version.
 
 Highlights include:
 
     A new pipe method
     Documentation on how to use numba with pandas,
 
 v 0.16.1
 This is a minor bug-fix release from 0.16.0 and includes a a large
 number of bug fixes along several new features, enhancements, and
 performance improvements. We recommend that all users upgrade to this
 version.
 
 Highlights include:
 
     Support for a CategoricalIndex, a category based index
     New section on how-to-contribute to pandas
     Revised â??Merge, join, and concatenateâ?? documentation, including
     graphical examples to make it easier to understand each operations
     New method sample for drawing random samples from Series, DataFrames
     and Panels.
     The default Index printing has changed to a more uniform format
     BusinessHour datetime-offset is now supported
     Further enhancement to the .str accessor to make string operations easier
 
 v0.16.0 (March 22, 2015)
 
 This is a major release from 0.15.2 and includes a small number of
 API changes, several new features, enhancements, and performance
 improvements along with a large number of bug fixes. We recommend that
 all users upgrade to this version.
 
 Highlights include:
 
     DataFrame.assign method
     Series.to_coo/from_coo methods to interact with scipy.sparse
     Backwards incompatible change to Timedelta to conform the .seconds
     attribute with datetime.timedelta
     Changes to the .loc slicing API to conform with the behavior of .ix
     Changes to the default for ordering in the Categorical constructor
     Enhancement to the .str accessor to make string operations easier
     The pandas.tools.rplot, pandas.sandbox.qtpandas and pandas.rpy
     modules are deprecated. We refer users to external packages like
     seaborn, pandas-qt and rpy2 for similar or equivalent functionality,
     see here
 v0.15.0 (October 18, 2014)
 
 This is a major release from 0.14.1 and includes a small number of
 API changes, several new features, enhancements, and performance
 improvements along with a large number of bug fixes. We recommend that
 all users upgrade to this version.
 
 Warning
 
 pandas >= 0.15.0 will no longer support compatibility with NumPy
 versions < 1.7.0. If you want to use the latest versions of pandas,
 please upgrade to NumPy >= 1.7.0 (GH7711)
 
     Highlights include:
         The Categorical type was integrated as a first-class pandas type
         New scalar type Timedelta, and a new index type TimedeltaIndex
         New datetimelike properties accessor .dt for Series, see
         Datetimelike Properties
         New DataFrame default display for df.info() to include memory
         usage, see Memory Usage
         read_csv will now by default ignore blank lines when parsing
         API change in using Indexes in set operations
         Enhancements in the handling of timezones
         A lot of improvements to the rolling and expanding moment funtions
         Internal refactoring of the Index class to no longer sub-class
         ndarray, see Internal Refactoring
         dropping support for PyTables less than version 3.0.0, and
         numexpr less than version 2.1 (GH7990)
         Split indexing documentation into Indexing and Selecting Data
         and MultiIndex / Advanced Indexing
         Split out string methods documentation into Working with Text Data
 
 
 To generate a diff of this commit:
 cvs rdiff -u -r1.7 -r1.8 pkgsrc/math/py-pandas/Makefile
 cvs rdiff -u -r1.5 -r1.6 pkgsrc/math/py-pandas/PLIST
 cvs rdiff -u -r1.6 -r1.7 pkgsrc/math/py-pandas/distinfo
 
 Please note that diffs are not public domain; they are subject to the
 copyright notices on the relevant files.
 


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