Received: from mail.netbsd.org (mail.netbsd.org [149.20.53.66]) (using TLSv1.2 with cipher ECDHE-RSA-AES256-GCM-SHA384 (256/256 bits)) (Client CN "mail.netbsd.org", Issuer "Postmaster NetBSD.org" (verified OK)) by mollari.NetBSD.org (Postfix) with ESMTPS id 88AD1A5858 for ; Tue, 21 Jul 2015 19:44:48 +0000 (UTC) Received: by mail.netbsd.org (Postfix, from userid 605) id E2A8914A1FF; Tue, 21 Jul 2015 19:44:47 +0000 (UTC) Received: from localhost (localhost [127.0.0.1]) by mail.netbsd.org (Postfix) with ESMTP id 0415F14A1FE for ; Tue, 21 Jul 2015 19:44:47 +0000 (UTC) X-Virus-Scanned: amavisd-new at NetBSD.org Received: from mail.netbsd.org ([127.0.0.1]) by localhost (mail.NetBSD.org [127.0.0.1]) (amavisd-new, port 10025) with ESMTP id X5RhSe_3wwKe for ; Tue, 21 Jul 2015 19:44:45 +0000 (UTC) Received: from cvs.netbsd.org (cvs.NetBSD.org [IPv6:2001:4f8:3:7:2e0:81ff:fe30:95bd]) by mail.netbsd.org (Postfix) with ESMTP id CFFB314A1FC for ; Tue, 21 Jul 2015 19:44:45 +0000 (UTC) Received: by cvs.netbsd.org (Postfix, from userid 500) id C96E098; Tue, 21 Jul 2015 19:44:45 +0000 (UTC) Content-Disposition: inline Content-Transfer-Encoding: 8bit Content-Type: text/plain; charset="UTF-8" MIME-Version: 1.0 Date: Tue, 21 Jul 2015 19:44:45 +0000 From: "Christoph Badura" Subject: CVS commit: pkgsrc/math/py-pandas To: pkgsrc-changes@NetBSD.org Reply-To: bad@netbsd.org X-Mailer: log_accum Message-Id: <20150721194445.C96E098@cvs.netbsd.org> Sender: pkgsrc-changes-owner@NetBSD.org List-Id: pkgsrc-changes.NetBSD.org Precedence: bulk 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 “Merge, join, and concatenate” 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.