Path: csiph.com!x330-a1.tempe.blueboxinc.net!usenet.pasdenom.info!selfless.tophat.at!newsfeed.xs4all.nl!newsfeed6.news.xs4all.nl!xs4all!post.news.xs4all.nl!not-for-mail Return-Path: X-Original-To: python-announce-list@python.org Delivered-To: python-announce-list@mail.python.org X-Spam-Status: OK 0.045 X-Spam-Evidence: '*H*': 0.91; '*S*': 0.00; 'bug': 0.02; 'python': 0.08; 'bars': 0.09; 'homepage:': 0.09; 'api': 0.11; 'appreciated!': 0.16; 'hdf': 0.16; 'matplotlib': 0.16; 'numpy': 0.16; 'received:131': 0.16; 'slicing': 0.16; 'fundamental': 0.23; 'structure': 0.23; 'thanks.': 0.27; 'scientific': 0.28; 'arrays': 0.30; 'yet': 0.32; 'error': 0.33; 'received:10.3': 0.35; 'using': 0.35; 'to:addr:python-announce-list': 0.37; 'url:docs': 0.37; 'data': 0.38; 'comments': 0.39; 'header:Mime-Version:1': 0.39; 'to:addr:python.org': 0.39; 'format': 0.40; 'your': 0.60; 'header :Message-Id:1': 0.62; 'url:us': 0.63; 'links:': 0.67; 'url:0': 0.69; 'features:': 0.73; 'easy_install': 0.84; 'histograms': 0.84; 'url:install': 0.84; 'received:10.3.0': 0.91 X-Spam-Scanned: at Caltech-IMSS on fire-doxen by amavisd-new From: Jiao Lin Content-Type: text/plain; charset=windows-1252 Content-Transfer-Encoding: quoted-printable Subject: histogram 0.2.1 Date: Mon, 20 Jun 2011 07:43:13 -0700 To: python-announce-list@python.org Mime-Version: 1.0 (Apple Message framework v1084) X-Mailer: Apple Mail (2.1084) X-Mailman-Approved-At: Mon, 20 Jun 2011 22:35:44 +0200 X-BeenThere: python-announce-list@python.org X-Mailman-Version: 2.1.12 Precedence: list Reply-To: python-list@python.org List-Id: Announcement-only list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Approved: python-announce-list@python.org Newsgroups: comp.lang.python.announce Message-ID: Lines: 32 NNTP-Posting-Host: 82.94.164.166 X-Trace: 1308602148 news.xs4all.nl 49042 [::ffff:82.94.164.166]:54198 X-Complaints-To: abuse@xs4all.nl Xref: x330-a1.tempe.blueboxinc.net comp.lang.python.announce:197 This release (0.2.1) is a bug-fix release of the histogram package = release 0.2. To update your installation, do $ easy_install -U histogram The histogram package (http://docs.danse.us/histogram) provides a simple = yet fundamental data structure for scientific data reduction/analysis. Features: =95 Carries both data and error bars and has a default = implementation for error propagation =95 Flexible slicing to get sub-histograms =95 Easy access to data as numpy arrays =95 Dump/load histograms in hdf format =95 Quick plot using matplotlib Links: =95 Homepage: http://docs.danse.us/histogram =95 Installation: = http://docs.danse.us/histogram/0.2.1/install.html =95 Python API tutorial: = http://docs.danse.us/histogram/0.2.1/python-interface.html Bug reports and any comments are very much appreciated! Thanks. -- Jiao Lin linjiao@caltech.edu=