[Numpy-discussion] ANN matplotlib-0.60.2: python graphs and charts
John Hunter
jdhunter at ace.bsd.uchicago.edu
Wed Jul 14 09:51:12 CDT 2004
matplotlib is a 2D plotting library for python. You can use
matplotlib interactively from a python shell or IDE, or embed it in
GUI applications (WX, GTK, and Tkinter). matplotlib supports many
plot types: line plots, bar charts, log plots, images, pseudocolor
plots, legends, date plots, finance charts and more.
What's new since matplotlib 0.50
This is the first wide release in 5 months and there has been a
tremendous amount of development since then, with new backends, many
optimizations, new plotting types, new backends and enhanced text
support. See http://matplotlib.sourceforge.net/whats_new.html for
details.
* Todd Miller's tkinter backend (tkagg) with good support for
interactive plotting using the standard python shell, ipython or
others. matplotlib now runs on windows out of the box with python
+ numeric/numarry
* Full Numeric / numarray integration with Todd Miller's numerix
module. Prebuilt installers for numeric and numarray on win32.
Others, please set your numerix settings before building
matplotlib, as described on
http://matplotlib.sourceforge.net/faq.html#NUMARRAY
* Mathtext: you can write TeX style math expressions anywhere in your
figure.
http://matplotlib.sourceforge.net/screenshots.html#mathtext_demo.
* Images - figure and axes images with optional interpolated
resampling, alpha blending of multiple images, and more with the
imshow and figimage commands. Interactive control of colormaps,
intensity scaling and colorbars -
http://matplotlib.sourceforge.net/screenshots.html#layer_images
* Text: freetype2 support, newline separated strings with arbitrary
rotations, Paul Barrett's cross platform font
manager.
http://matplotlib.sourceforge.net/screenshots.html#align_text
* Jared Wahlstrand's SVG backend (alpha)
* Support for popular financial plot types -
http://matplotlib.sourceforge.net/screenshots.html#finance_work2
* Many optimizations and extension code to remove performance
bottlenecks. pcolors and scatters are an order of magnitude
faster.
* GTKAgg, WXAgg, TkAgg backends for http://antigrain.com (agg)
rendering in the GUI canvas. Now all the major GUIs (WX, GTK, Tk)
can be used with a common (agg) renderer.
* Many new examples and demos - see http://matplotlib.sf.net/examples
or download the src distribution and look in the examples dir.
Documentation and downloads available at
http://matplotlib.sourceforge.net.
John Hunter
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