matplotlib-users Mailing List for matplotlib

Hi
Great to see another release with lots of improvements. Motivated by your 
new FAQ and the web page about interactive usage, I tried interactive.py 
again.
The good news is I got it to work and it looks very handy indeed. It has 
autocomplete! Yay!
The bad news is it didn't work first go (and I think this is why I didn't 
try it out earlier):
~/downloads/matplotlib/examples$ ./interactive.py
: No such file or directory
The above fails, but the below works. I tried changing the first line from
#!/usr/bin/env python
to
#!/usr/bin/python
But it didn't help, even though that works on other scripts of mine. But 
the below works:
~/downloads/matplotlib/examples$ python ./interactive.py
['./interactive.py']
Welcome to matplotlib.
 
 help(matlab) -- shows a list of all matlab compatible commands 
provided
 help(plotting) -- shows a list of plot specific commands
 
>> plot([1, 2, 3])
[<matplotlib.lines.Line2D instance at 0x8399054>]
Interactive use easily justifies me wrapping this with a script so I can 
jump into it easily form the command line, but I thought this might affect 
other people trying interactive.py for the first time. I'm not quite sure 
how to debug the problem. I'm using bash under Linux by the way.
m.

>>>>> "Jorgen" == Jorgen Bergstrom <jo...@po...> writes:
 Jorgen> Hi, I just discovered matplotlib, it seems really cool &
 Jorgen> just what I have been looking for.
 Jorgen> I have a hopefully simple question: How can I change the
 Jorgen> font size and type of the legend, and how can I remove the
 Jorgen> frame around the legend?
I put the required changes in matplotlib-0.50. See
examples/legend_demo.py for examples of how to change the legend font
properties, turn off the legend frame, control the legend line props,
etc...
JDH

What's new in matplotlib 0.50
Antigrain backend: Agg
 Adding to the growing list of image backends is Antigrain --
 http://antigrain.com. This is a backend written mostly in extension
 code and is the fastest of all the image backends. Agg supports
 freetype fonts, antialiased drawing, alpha blending, and much
 more. The windows installer contains everything you need except
 Numeric to use the agg backend out of the box; for other platforms
 see http://matplotlib.sourceforge.net/backends.html#Agg
Paint/libart backend
 David Moore wrote a backend for pypaint, a libart wrapper. libart is
 a high quality, cross platform image renderer that supports
 antialiased lines, freetype fonts, and other capabilities to soon be
 exploited. Thanks David! See
 http://matplotlib.sourceforge.net/backends.html#Paint for more
 information and install instructions
The Matplotlib FAQ
 Matplotlib now has a FAQ -- http://matplotlib.sourceforge.net/faq.html
Alpha channel attribute
 All the figure elements now have an alpha attribute to allow
 blending and translucency. Not all backends are currenly capable of
 supporting alpha - currently only Agg, but Paint should be able to
 support this soon - see the scatter screenshot for an example of
 alpha at work
 http://matplotlib.sourceforge.net/screenshots.html#scatter_demo2
Table class added
 John Gill has developed a very nice Table class and table function
 that plays well with bar charts and stacked bar charts. See example
 code and screenshot table_demo at
 http://matplotlib.sourceforge.net/screenshots.html#table_demo
New plot commands cla and clf
 Clear the current axes or figure. Useful in interactive plotting
 from a python shell
GD module on win32
 With much weeping and gnashing of teeth and help from half the
 people on this globe, built a gdmodule win32 installer. Special
 thanks to Stefan Kuzminski for putting up with my endless windows
 confusions. See the win32 quickstart at installing the GD backend -
 http://matplotlib.sourceforge.net/backends.html#GDWIN32
GD supports clipping and antialiased line drawing
 See instructions about upgrading gd and gdmodule at Installing the
 GD backend. The line object has a new 'antialiased' property, that
 if True, the backend will render the line antialiased if
 supported. Note antialiased drawing under GD is slow, so be sure to
 turn the property off set(lines, 'antialiased', False) if you
 experience performance problems. If you need performance and
 antialiasing, use the agg backend.
Wild and wonderful bar charts
 You can provide an optional argument bottom to the bar command to
 determine where the bottom of each bar is, default 0 for all. This
 enables stacked bar plots and candelstick plots --
 examples/bar_stacked.py. Thanks to David Moore and John Gill for
 suggestions and code.
Figure backend refactored
 The figure functionality was split into a backend independent
 component Figure and a backend dependent component
 FigureCanvasBase. This completes the transition to a totally
 abstract figure interface and improves the ability the switch
 backends and a figure to multiple backends. See API_CHANGES for
 information on migrating applications to the new API at
 http://matplotlib.sourceforge.net/API_CHANGES
Tons of bug fixes and optimizations detailed at
http://matplotlib.sourceforge.net/whats_new.html