matplotlib-announce Mailing List for matplotlib (Page 3)

What's new in 0.82

Subplot configuration

  All of the parameters of the subplots are now exposed at the rc,
  pylab and API layout.  These are left, right, bottom, top, wspace
  and hspace which control how the subplots are placed on the screen.
  See figure.SubplotParams, figure.Figure.subplots_adjust and the
  pylab method subplots_adjust and examples/subplots_adjust.py .  Also
  added a GUI neutral widget for adjusting subplots, see
  examples/subplot_toolbar.py.  There is a new toolbar button on GTK*,
  WX* and TkAgg to launch the subplot configuration tool (which uses
  the new matplotlib cross GUI classes discussed below).  

  This also makes it easier to make ganged plots -- see
  examples/ganged_plots.py

  Note this required a small change to how the toolbar on some GUIs
  are imported; if you are using the mpl API in WXAgg and GTKAgg, see
  API_CHANGES.

GUI neutral widgets

  Matplotlib now has cross-GUI widgets (buttons, check buttons, radio
  buttons and sliders).  You have to manually create properly sized
  Axes for them to live in, but otherwise they are pretty easy to use.
  See examples/widgets/*.py and
  http://matplotlib.sf.net/screenshots.html#slider_demo.  This makes
  it easier to create interactive figures that run across backends.

Cap and join style

  Exposes line cap and join style via new rc params and Line2D
  properties

    lines.dash_joinstyle : miter        # miter|round|bevel
    lines.dash_capstyle : butt          # butt|round|projecting
    lines.solid_joinstyle : miter       # miter|round|bevel
    lines.solid_capstyle : projecting   # butt|round|projecting

Axes kwargs

  All Axes properties are now exposed via kwargs, so you can do, for
  example

   subplot(111, xlabel='time', ylabel='volts', autoscale_on=False,
           xlim=(-1,1), ylim =(0,10) )

Small bugfixes and features:

  Fixed a upper/right tick bug (thanks Baptiste), fixed invalid rc
  docstring vis-a-vis aliases, fixed bug #1217637 in ticker.py and a
  cleanup bug in usetex (thanks Darren), added Sean Richards hist bin
  fix (see API_CHANGES)

http://matplotlib.sf.net

Enjoy!
JDH

Win32 Warning: This is the first release I've done since my windows
  build syste dies and I had to reinstall a bunch of tools and some
  version numbers in my GTK build environment changed (eg my GTK
  setup).  Let me know if you encounter any problems.  As always, try
  removing site-packages/matplotlib and reinstalling before reporting
  any problems

TeX support : Now you can (optionally) use TeX to handle *all* of the
  text elements in your figure with the rc param text.usetex (*Agg and
  PS only).  PS support requires tex, dvips and Ghostscript 8.51
  (older versions do not work properly -- test your version with
  'gs --version').  Agg support requires tex and dvipng.  A
  directory ~/.tex.cache is created where support files are cached for
  later reuse.  We opted to ues TeX rather than LaTeX because it is
  faster and can do all the things we thought useful for figure text
  snippets.  See http://matplotlib.sf.net/screenshots.html#tex_demo
  and http://matplotlib.sf.net/matplotlib.texmanager.html.  There are
  several new rc params for configuring tex/latex support

    # use tex/latex for all text handling
    text.usetex         : False  
    # tex is faster, but latex is required to use special font
    # packages.  See font.latex.package
    text.tex.engine     : latex  
    
    # This must be an available LaTeX font package, 
    # like 'times' or 'pslatex' ; only applies if text.usetex 
    # is true
    font.latex.package  : type1cm  

  Special thanks to Darren Dale for lots of hair-pulling work
  customizing, enhancing and debugging the ps backend for LaTeX
  support.

Masked arrays: Support for masked arrays in line plots, pcolor and
  contours.  There are some problems with filled contours and masked
  arrays.  Thanks Eric Firing and Jeffrey Whitaker.

Contour levels arg changes: see http://matplotlib.sf.net/API_CHANGES
  for details

Byte images: Much faster imaeg loading for MxNx4 or MxNx3 UInt8
  images, which bypasses the memory and CPU intensive integer/floating
  point conversions.  Nicolas Girard

New image resize options interpolation options.  New values for the
  interp kwarg are
        
    'nearest', 'bilinear', 'bicubic', 'spline16', 'spline36',
    'hanning', 'hamming', 'hermite', 'kaiser', 'quadric', 'catrom',
    'gaussian', 'bessel', 'mitchell', 'sinc', 'lanczos', 'blackman'

  See help(imshow) for details, particularly the interpolation,
  filternorm and filterrad kwargs.

Text and dashes - Daishi Harada contributed a patch for connecting
  text to points with lines.  See examples/dashpointlabel.py and
  examples/dashtick.py

Fast markers on win32: The marker cache optimization is finally
  available for win32, after an agg bug was found and fixed (thanks
  Maxim!).  Line marker plots should be considerably faster now on
  win32.

set deprecated: use setp instead; a simple, mostly braindead,
  conversion script is provided below

Qt in ipython/pylab: You can now use qt in ipython pylab mode.  Thanks
  Fernando Perez and the Orsay team!

Agg wrapper proper: Started work on a proper agg wrapper to expose
  more general agg functionality in mpl.  See examples/agg_test.py.
  Lots of wrapping remains to be done.

New scalar formatter: Darren Dale did a lot of work to make scalar
  formatting smarter in pathalogical cases.  See
  examples/newscalarformatter_demo.py

Small features: linewidth and faceted kwarg to scatter to control
  edgewidth and color, autolegending now inspects line segments in
  addition to vertices, upgraded to agg23, new example showing how to
  use line collections examples/line_collection.py, fixed antialiased
  property setting in agg, added a postscript papersize rc option,
  added an example showing how to embed mpl in a qt app
  examples/embedding_in_qt.py, arrow keys now exposed in mpl's GUI
  neutral event handling, added "among" kwarg to axes picker function
  to limit picks, added autoscale_on property to Axes to control
  whether or not autoscaling is done.

Bug fixes: fixed a contour masked array bug, contour memory leak

http://matplotlib.sf.net



# Here is a script to recursively convert set and get to setp and
# getp. Please backup entire directory recursively before
# running this script

from matplotlib.cbook import listFiles

for fname in listFiles('.', '*.py'):

    lines = []
    cnt = 0
    for line in file(fname):
        if line.lstrip().startswith('set('):
            line = line.replace('set(', 'setp(')
            cnt +=1
        if line.lstrip().startswith('get('):
            line = line.replace('get(', 'getp(')
            cnt +=1
        lines.append(line)
        
    file(fname, 'w').writelines(lines)
    print '%s\t: %d replacements'%(fname,cnt)

Aric Hagberg at LANL just announced a graph package which uses
matplotlib for drawing

  http://networkx.sourceforge.net/

Some cool screenshots at
http://sourceforge.net/project/screenshots.php?group_id=122233

JDH

Every once in a while, when enough new features have been added and
the nasty bugs ironed out, I tick the major version number and post a
matplotlib release to the general python commuity.  These releases are
really just bug fix releases of the last release in disguise :-)

I just uploaded matplotlib-0.80 to the web site.  If you folks could
be kind enough to give this a test drive and let me know if you hit
any snags, I'd be much obliged.  If all goes well, I'll do the general
release tomorrow.

What's new in 0.80

kwargs to xlim, ylim, axis

  Applied a variant of Rick Muller's xlim/ylim/axis patch. These
  functions now take kwargs to let you selectively alter only the min
  or max if desired. Eg xlim(xmin=2) or axis(ymax=3). They always
  return the new lim. See, eg help(xlim). The same functionality is
  available in the API with ax.set_xlim and ax.set_ylim .

wx fixes

  Fixed a problem with wx app instantiation. Incorporated Werner's wx
  patch -- wx backend should be compatible with wxpython 2.4 and
  recent versions of 2.5. Some early versions of wxpython 2.5 will not
  work because there was a temporary change in the dc API that was
  rolled back to make it 2.4 compliant

Polygon editors

  Added some proof of concept code to show how to use matplotlib to
  interact with plot elements in a GUI neutral way. The editable
  polygon allows you to insert, delete and move vertices. See
  examples/poly_editor.py. The idea it to add interactor classes to
  support editable lines, text, polygons, etc. This could support a
  cross GUI colormap editor, or spline editor, for example.


http://matplotlib.sf.net


Thanks!
JDH

What's new in matplotlib 0.74

basic unicode support in *Agg and PS

  See examples/unicode_demo.py.  Unicode strings are rendered in the
  agg and postscript backends.  Currently, all the symbols in the
  unicode string have to be in the active font file.  In later
  releases we'll try and support symbols from multiple ttf files in
  one string.  No support yet for unicode ttf filenames

Auto-legends

  The automatic placement of legends is now supported with loc='best';
  see examples/legend_auto.py.  We did this at the matplotlib sprint
  at pycon -- Thanks John Gill and Phil! Note that your legend will
  move if you interact with your data and you force data under the
  legend line.  If this is not what you want, use a designated
  location code.

Quiver (direction fields)

  Ludovic Aubry contributed a patch for the matlab compatible quiver
  method.  This makes a direction field with arrows.  See
  examples/quiver_demo.py

boxplot

  David Haas contributed a matlab-compatible boxplot function -- see
  examples/boxplot_demo.py.  This currently returns all the boxplot
  boxes, whiskers, flyer points, etc as a list of lines.  This will
  soon be refactored to return multiple lists so that the different
  elements can be more readily configured.

Hubble data example

  Perry Greenfield of STScIcontributed this nice example showing
  Hubble data with overlayed
  contours. http://matplotlib.sf.net/screenshots.html#hstdemo

minor enhancements and bug-fixes

  Some ticker locations bugs were fixed including a problem causing a
  memory error in psd, an ellipse bug in backend ps that was causing
  errant lines was fixed, svg text enhanced, added label kwarg to axes
  constructor to support creation of otherwise identical axes, fixed
  the NULL string pointer causing some Japanses fonts to segfault mpl

Downloads at http://matplotlib.sf.net

JDH

What's new in matplotlib 0.73

new contour functionality

  Filled contours (polygons) with contourf and clabel . See
  examples/contour_demo.py, examples/contourf_demo.py,
  examples/contour_image.py and the screenshot at
  http://matplotlib.sf.net/screenshots.html#pcolor_demo. Thanks Nadia
  and Eric for lots of hard work. This code is not perfect, so please
  let us know if you find bugs or problems.

native font support back in PS

  Added new rc param param ps.useafm so ps backend can use native
  fonts; this currently breaks PS mathtext but makes for smaller files

colorbar now a figure method

  Refactored colorbar code out of pylab into Figure API for API
  developers. matplotlib.pylab colorbar is now a thin wrapper to this
  function.

minor enhancements and bug-fixes

  Experimental support for GTK w/o double buffering, added double
  buffering to gtkagg, exposed some core agg functionality in
  matplotlib.agg, upgraded wrapper generator to CXX 5.3.1, added a
  custom pixel transfer function for GTK which works for Numeric and
  numarray, added patch for problem with Japanse fonts in windows
  registry, fixed ticks for horizontal colorbars, fixed labelsep
  legend bug

Downloads at http://matplotlib.sf.net

JDH

Just a reminder that there will be a matplotlib sprint on Monday the
21st before PyCon.  If you are in the DC area and what to hack on
matplotlib, please come out!

  http://www.python.org/moin/MatplotlibSprint

Hope to see you there!
JDH

matplotlib-0.72 is up at the sourceforge site.  Note that there have
been some signficant changes at the extension code level.  If you get
crashes or segfaults on import or usage, try deleting the "build"
subsirectory and site-packages/matplotlib before reinstalling to
insure a clean install.


  - heavy optimizations in line marker drawing eg plot(x,y,'+') or any
    other line marker.  Here are some numbers, where N is the number
    of symbols
    

                       0.71     0.72    speedup
           -----------------------------------
        N =   1000 |  0.24s  |  0.13s |  1.85x
        N =   5000 |  0.68s  |  0.19s |  3.57x
        N =  10000 |  1.17s  |  0.28s |  4.19x
        N =  50000 |  5.30s  |  0.60s |  8.89x
        N = 100000 | 10.02s  |  0.70s | 14.31x
        N = 500000 | 48.81s  |  2.32s | 21.03x


 - lots of work making log plots "just work".  You can toggle log y
   axes with the 'l' command -- nonpositive data are simply ignored
   and no longer raise exceptions.  log plots should be a lot faster
   and more robust

 - fixed a contour bug for unequal sized arrays and made the syntax
   matlab compatible -- see http://matplotlib.sf.net/API_CHANGES

 - alpha version of QTAgg backend -- note the licensing issue of QT is
   murky since QT is dual licensed.  If you are shipping a commercial
   product with matplotlib you may want to remove the qt backend to be
   on the safe side.

 - matshow for displaying arrays with proper aspect ratio -- see
   http://matplotlib.sf.net/matplotlib.pylab.html#-mathshow

 - new examples/interactive.py which shows you how to use matplotlib
   in a custom gtk shell

 - shared axes for two scale and ganged plots -- you can set sharex on
   and axis and multiple subpolots will pan and zoom together.  See
   http://matplotlib.sf.net/examples/shared_axis_demo.py - Thanks Baptiste!

 - Default key presses over axes: 'g' toggles grid, 'l' toggles logy

 - little features: calls to subplot with overlap other subplots now
   delete the overlapped subplot, load and save work with file and
   handles gzipped files transaparently, small PS optimizations, gtk
   figure resizing more flexible

 - little bug fixes: contour datalim and unequal sized array bugs,
   mx2num, added missing mathtext symbols, fonts in mathtext
   super/subscripts, contour works with interactive changes in cmaps,
   clim

Special thanks to Fernando Perez for many CVS bug reports, feature
suggestions and contributions.

http://matplotlib.sf.net

JDH

This matplotlib release will be included in enthought's next release
of enthought python, which is widely used by windows users for
scientific computing.  I'd like to get an stable-as-possible release
in, since enthought python is released very infrequently.  Joe Cooper,
who is handling the release, says we can get fixes in until sometime
on Monday, so I'd be much obliged if you all could stress test this
release in case I need to get a bug-fix in.  There have been some
potentially script breaking substantial changes to the numerix module
described below, so these tests are doubly important.

What's new in matplotlib 0.71

numerix refactor

  The organization of the numerix module was refactored to be mindful
  of namespaces. See http://matplotlib.sf.net/API_CHANGES. pylab no
  longer overrides the built-ins min, max, and sum, and provides amin,
  amax and asum as the numerix/mlab versions of these.  pylab defines
  __all__ to prevent surprises when doing from pylab import *.  To see
  the complete list of symbols provided

    >>> import matplotlib.pylab
    >>> matplotlib.pylab.__all__

contour zigzag bug fixed

  Thanks Nadia for the blood, sweat and tears, and Dominique for the
  report.

contour colormaps

  Contour now uses the current colormap if colors is not provided, and
  works with colorbars.  See examples/contour_demo2.py

colorbar enhancements

  Horizontal colorbars supported with keyword arg
  orientation='horizontal' and colorbars can be placed in an arbitrary
  axes with keyword arg cax.

accents in mathtext

  Added accents to mathtext: \hat, reve, \grave, ar, cute, ilde, ec,
  \dot, \ddot. All of them have the same syntax, eg to make an overbar
  you do ar{o} or to make an o umlaut you do \ddot{o}. The shortcuts
  are also provided, eg: "o 'e \`e \~n \.x \^y . See
  examples/accent_demo.py

fixed super/subscript parsing in mathtext

  Widowed superscripts now work, eg r'$^12 m{CO}$'

little bugs and enhancements

  Plugged some memory leaks in wx and image module, fixed x,y args in
  contour, added latex symbol kappa, fixed a yticklabel problem under
  change in clim, fixed colorbar number of color bug, fixed
  set_clip_on bug, reverted pythoninspect in tkagg, fixed event
  handling bugs, fixed matlab-compatible load function, exposed vbox
  attr in FigureManagerGTK.


I did not get a chance to get the aspect=preserve imshow bugs fixed on
this iteration.  Something for next time!

  http://matplotlib.sourceforge.net

JDH

This is (hopefully) a final rollup of what is (should be) a fairly
stable tree.  Mainly I wanted to send a release notification out to
the larger python community (scipy/numpy/python-list) since I haven't
done that since 0.60 (July 2004).  

For the major releases, I tend to try and shy away from new features
preferring a stable src.  But for you hardened, grizzled matplotlib
veterans, there are a few enticements nonetheless

 - pie charts and new example/pie_demo.py.  See
   http://matplotlib.sf.net/screenshots.html#pie_demo

 - support for object picking - see examples/picker_demo.py.  As
   people test this out and we settle on an interface, this will
   probably become part of the core, as will other keypress
   functionality for navigation, grid toogle, zoom toggle etc.

 - Fixed coords notification in wx toolbar 

 - key press and release event supported across backends -- see
   examples/keypress_demo.py

 - added Shadow patch class to provide a shadow effect for polygons,
   legends, pie charts -
   http://matplotlib.sf.net/screenshots.html#legend_demo

 - new examples/text_rotation.py demonstrates how text rotations and
   alignment work in matplotlib.  

Bug fixes

  - Fixed PS mathtext bug where color was not set

  - Fixed an agg text rotation alignment bug, fixed some text kwarg
    processing bugs

  - Refactored event handling - multiple connects and disconnects now
    work across backends.  See examples/coords_demo.py, especially
    with test_disconnect

  - Fixed a tkagg interactive bug that caused segfaults in some
    conditions.

As usual, downloads at http://sourceforge.net/projects/matplotlib

JDH

This is primarily a bug-fix release from 0.65, though a couple of
little features managed to sneak in

 - 4x image speedups for large images

 - figimage bug fixed

 - fixed some bugs which caused the colorbar not to update properly
   when changing colormap interactively

 - refactored axes management to support delaxes, which deletes, as
   opposed to clears, a specified axes.  Default to current axes

 - tkagg's classic and new-fangled toolbars are now embeddable.

 - extended the new set/get introspection features to more classes

 - fixed some tkagg flakiness on win32 regarding unusual uses of show.

 - new cross backend animation idiom in examples/anim.py - use
   interactive mode rather than timers/idle handlers.

 - deferred some initializations in dates and colors modules for
   faster load times.


http://sourceforge.net/projects/matplotlib

Enjoy!

JDH 

These notes, with links, can be read at
http://matplotlib.sf.net/whats_new.html.

 - matlab namespace renamed pylab - see
   http://matplotlib.sf.net/matplotlib_to_pylab.py for details on
   conversion.  ipython pylab users should grab version 0.6.6.  You
   can import the matlab interface (now known as pylab interface) with

   from pylab import blah              # OK
   from matplotlib.pylab import blah   # OK
   from matplotlib.matlab import blah  # Deprecated

 - contouring with the contour function!!  Thanks to Nadia Dencheva.
   See examples/contour_demo.py

 - matlab compatible set and get introspection to determine settable
   properties and their values.  See examples/set_and_get.py.  Sample
   usage

   >>> lines = plot([1,2,3])  
   >>> set(lines)
       alpha: float
       antialiased or aa: [True | False]
       ...snip lots more...
   >>> get(lines)
       alpha = 1.0
       antialiased or aa = True
       ...snip lots more...

 - Added many new matlab compatible colormaps - autumn bone cool
   copper flag gray hot hsv jet pink prism spring summer winter -
   Thanks Perry!

 - zorder to artists to control drawing order of lines, patches and
   text in axes.  See examples/zorder_demo.py 

 - mathtext in cairo backend.  Also, printing now works to file
   object.  Thanks Steve Chaplin.


 - printing in WX - Matthew Newville contributed a print button and
   preview for the wx backends.  He also, who graciously volunteered
   to be the new wx backend maintainer.

 - matlab interface functions connect and disconnect replace
   mpl_connect and mpl_disconnect for event handling

 - Pass hold=True|False to any plotting command to override the
   current hold setting.  The original hold setting will be restored
   at the end of the plot function

 - all text instances now have a bbox property which is a dict of
   Rectangle properties.  If set, the text instance will display in a
   rectanglular bounding box.  Example usage
    
    title('hi mom', bbox={'facecolor':'r', 'alpha':0.5})

 - legend properties now exposed as kwargs.  See help(legend)

 - ishold to inspect the hold state

 - new plotting functions spy, spy2 for matrix sparsity visualization

 - pylab interface functions rgrids and thetagrids for customizing
   the grid locations and labels for polar plots - see
   examples/polar_demo.py.

 - add ion, ioff and isinteractive to pylab interface for control of
   interactive mode.  See updated discussion at
   http://matplotlib.sf.net/interactive.html

Bugs fixed - 

  - Fixed colorbar bug with scatter - JDH

  - SVG clipping problem - Thanks Norm Peterson

  - numerous small legend bugs fixed

  - zoom to rect works with reversed axis limits - thanks Gregory

  - fontsizing problem fixes, ps plots correctly sized, landscape
    support for ps output

  - smaller, leaner, meaner PS output - Thanks Jochen

  - make the Gtk backends build without an X-server connection -
    Thanks Jochen

 
Downloads at http://matplotlib.sf.net

JDH

Dear John
The .exe file for windows insallation does not work
with python 2.4.
Will a new one be released within the next couple of
weeks, or is there another way out of this problem?
Kindest regards
Cosby


		
__________________________________ 
Do you Yahoo!? 
The all-new My Yahoo! - Get yours free! 
http://my.yahoo.com 
 

A low traffic list that carries announcements of interest to
matplotlib users.  It can include new releases, new documentation,
projects that use matplotlib, tutorials, etc.

  https://lists.sourceforge.net/mailman/listinfo/matplotlib-announce

JDH