Path: csiph.com!x330-a1.tempe.blueboxinc.net!usenet.pasdenom.info!aioe.org!news.stack.nl!newsfeed.xs4all.nl!newsfeed5.news.xs4all.nl!xs4all!newsgate.cistron.nl!newsgate.news.xs4all.nl!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 0.000 X-Spam-Evidence: '*H*': 1.00; '*S*': 0.00; 'subject:ANN': 0.02; 'displayed': 0.03; '(default': 0.07; 'skip:` 10': 0.07; 'transform': 0.07; 'url:googlecode': 0.07; 'python': 0.07; 'url:pypi': 0.09; 'canvas': 0.09; 'development:': 0.09; 'filter,': 0.09; 'pixel': 0.09; 'url:packages': 0.09; 'scripts': 0.10; 'api': 0.11; 'url:code': 0.11; 'computing': 0.11; 'library': 0.15; '(these': 0.16; 'adjustment': 0.16; 'background,': 0.16; 'bugfixes': 0.16; 'cea': 0.16; 'curve': 0.16; 'dialog': 0.16; 'fit,': 0.16; 'nan': 0.16; 'numpy': 0.16; 'pyplot': 0.16; 'ratio': 0.16; 'rectangle': 0.16; 'released.': 0.16; 'scipy,': 0.16; 'to:addr:scipy-user': 0.16; 'to:addr:scipy.org': 0.16; 'framework': 0.16; 'subject:] ': 0.16; 'modules': 0.20; 'cheers,': 0.20; 'compared': 0.22; 'file,': 0.22; 'specified': 0.22; 'helper': 0.23; 'objects,': 0.23; 'platforms.': 0.23; 'objects': 0.24; 'example': 0.24; 'version': 0.25; 'downloads': 0.25; 'index': 0.25; '(e.g.': 0.26; 'demonstrate': 0.26; 'equivalent': 0.26; 'moving': 0.26; 'windows': 0.26; 'object': 0.27; 'scientific': 0.29; 'error': 0.29; 'loaded': 0.29; 'changes': 0.29; 'alternatives': 0.29; 'aspect': 0.29; 'list': 0.30; '---': 0.31; 'filtering': 0.31; 'real-time': 0.31; 'url:detail': 0.31; 'all,': 0.31; '...': 0.32; 'cross': 0.33; 'url:downloads': 0.33; 'things': 0.33; 'module': 0.33; 'test': 0.33; '(for': 0.33; 'subject:[': 0.34; 'apply': 0.34; 'tool': 0.35; 'executable': 0.35; 'received:132': 0.35; 'feature': 0.36; 'properties': 0.36; 'processing': 0.37; 'data': 0.37; 'page:': 0.37; 'url:python': 0.37; 'useful': 0.37; 'to:addr:python-announce-list': 0.38; 'install': 0.38; 'user': 0.38; 'but': 0.38; 'center': 0.38; 'url:google': 0.38; 'url:org': 0.38; 'signal': 0.39; 'size,': 0.39; 'announce': 0.39; 'to:addr:python.org': 0.39; 'tested': 0.40; 'items:': 0.60; 'from:no real name:2**0': 0.60; 'levels': 0.60; 'here:': 0.61; 'results': 0.61; 'to:2**2': 0.61; 'making': 0.62; 'url:p': 0.63; 'dr.': 0.68; 'circle': 0.68; 'pleased': 0.68; 'selected': 0.68; 'to:addr:googlegroups.com': 0.69; 'to:no real name:2**2': 0.70; 'automatic': 0.71; 'demo': 0.73; 'average': 0.77; 'averaged': 0.84; 'fitting': 0.84; 'histograms': 0.84; 'labels': 0.84; 'panel:': 0.84; 'performance:': 0.84; 'url:zip': 0.84; 'contrast': 0.91; 'images,': 0.93 X-MimeOLE: Produced By Microsoft Exchange V6.5 Content-class: urn:content-classes:message MIME-Version: 1.0 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Subject: [ANN] guiqwt v2.1.1 Date: Wed, 20 Apr 2011 10:00:14 +0200 X-MS-Has-Attach: X-MS-TNEF-Correlator: Thread-Topic: [ANN] guiqwt v2.1.1 Thread-Index: ActLgX/q0NKdYDxURTWVvRvfcKQU8A== From: To: , , , , X-OriginalArrivalTime: 20 Apr 2011 08:00:15.0023 (UTC) FILETIME=[FB5313F0:01CBFF30] X-Mailman-Approved-At: Wed, 20 Apr 2011 17:50:20 +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: 114 NNTP-Posting-Host: 82.94.164.166 X-Trace: 1303314621 news.xs4all.nl 41110 [::ffff:82.94.164.166]:56200 X-Complaints-To: abuse@xs4all.nl Xref: x330-a1.tempe.blueboxinc.net comp.lang.python.announce:100 Hi all, I am pleased to announce that `guiqwt` v2.1.1 has been released. Main changes since `guiqwt` v2.1.0: * added support for NaNs in image plot items (default behaviour: NaN = pixels are transparents) * added "oblique averaged cross section" feature * bugfixes This version of `guiqwt` includes a demo software, Sift (for Signal and = Image Filtering Tool), based on `guidata` and `guiqwt`: http://packages.python.org/guiqwt/sift.html Windows users may even download the portable version of Sift 0.23 to = test it without having to install anything: http://code.google.com/p/guiqwt/downloads/detail?name=3Dsift023_portable.= zip The `guiqwt` documentation with examples, API reference, etc. is = available here: http://packages.python.org/guiqwt/ Based on PyQwt (plotting widgets for PyQt4 graphical user interfaces) = and on the scientific modules NumPy and SciPy, guiqwt is a Python = library providing efficient 2D data-plotting features (curve/image = visualization and related tools) for interactive computing and = signal/image processing application development. When compared to the excellent module `matplotlib`, the main advantage = of `guiqwt` is performance: see = http://packages.python.org/guiqwt/overview.html#performances. But `guiqwt` is more than a plotting library; it also provides: * Helper functions for data processing: see the example = http://packages.python.org/guiqwt/examples.html#curve-fitting * Framework for signal/image processing application development: see = http://packages.python.org/guiqwt/examples.html * And many other features like making executable Windows programs = easily (py2exe helpers): see = http://packages.python.org/guiqwt/disthelpers.html guiqwt plotting features are the following: guiqwt.pyplot: equivalent to matplotlib's pyplot module (pylab) supported plot items: * curves, error bar curves and 1-D histograms * images (RGB images are not supported), images with non-linear = x/y scales, images with specified pixel size (e.g. loaded from DICOM = files), 2-D histograms, pseudo-color images (pcolor) * labels, curve plot legends * shapes: polygon, polylines, rectangle, circle, ellipse and = segment * annotated shapes (shapes with labels showing position and = dimensions): rectangle with center position and size, circle with center = position and diameter, ellipse with center position and diameters (these = items are very useful to measure things directly on displayed images) curves, images and shapes: * multiple object selection for moving objects or editing their = properties through automatically generated dialog boxes (guidata) * item list panel: move objects from foreground to background, = show/hide objects, remove objects, ... * customizable aspect ratio * a lot of ready-to-use tools: plot canvas export to image file, = image snapshot, image rectangular filter, etc. curves: * interval selection tools with labels showing results of = computing on selected area * curve fitting tool with automatic fit, manual fit with = sliders, ... images: * contrast adjustment panel: select the LUT by moving a range = selection object on the image levels histogram, eliminate outliers, ... * X-axis and Y-axis cross-sections: support for multiple images, = average cross-section tool on a rectangular area, ... * apply any affine transform to displayed images in real-time = (rotation, magnification, translation, horizontal/vertical flip, ...) application development helpers: * ready-to-use curve and image plot widgets and dialog boxes * load/save graphical objects (curves, images, shapes) * a lot of test scripts which demonstrate guiqwt features guiqwt has been successfully tested on GNU/Linux and Windows platforms. Python package index page: http://pypi.python.org/pypi/guiqwt/ Documentation, screenshots: http://packages.python.org/guiqwt/ Downloads (source + Python(x,y) plugin): http://guiqwt.googlecode.com Cheers, Pierre --- Dr. Pierre Raybaut CEA - Commissariat =E0 l'Energie Atomique et aux Energies Alternatives