matplotlib-users Mailing List for matplotlib

>>>>> "Nils" == Nils Wagner <nw...@me...> writes:
 Nils> Hi all, I am wondering, if there is a tutorial (pdf-format)
 Nils> illustrating all features of matplotlib.
There is nothing in pdf format, but there is a tutorial on the web
page
 http://matplotlib.sourceforge.net/tutorial.html
It's only a basic introduction, but is enough to get you started.
After that the best way to proceed is to look at the examples dir of
the source distribution (*.zip or *.tar.gz). Also, the library is
matlab compatible, and there is a wealth of documentation for matlab.
The reference for the matlab interface is 
 http://matplotlib.sourceforge.net/matplotlib.matlab.html
A read through this page will give you a reasonably complete overview.
Of course, you can also access these from the python shell
 >>> help(plot) or
 >>> help(text) or
 >>> help(set)
Note the above is just for the matlab interface, which is what most
people use. You can also embed matplotlib in GTK or WX applications.
Generating pdf from the html pydoc output is reasonably easy, by the
way, with a tool like htmldoc.
A PDF User's Guide is a good idea. It's officially on the lost of
things to do.
JDH

Hi all,
I am wondering, if there is a tutorial (pdf-format) illustrating all
features of matplotlib.
Nils

This is the alpha release of version 0.40. Lots of changes since
0.32, including some API changes which will require minor changes for
application writers but no changes in the matlab interface. Please
test this over the next couple of weeks so any bugs and changes can be
included in the real release
Here are the release notes
What's new
WX python backend
 Jeremy O'Donoghue has done an amazing job implementing the backend
 for wxpython, with all the features such as interactive navigation
 that are supported in the GTK backend. matplotlib should not be
 available with a GUI anywhere wxpython, Numeric and python work,
 including linux and friends, win32, and Mac OS X. See
 http://matplotlib.sourceforge.net/matplotlib.backends.backend_wx.html
 for a summary of known issues.
Pseudo color plots
 The pcolor command generates pseudo color plots. See
 http://matplotlib.sourceforge.net/screenshots.html#pcolor_demo and
 http://matplotlib.sourceforge.net/screenshots.html#mri_with_eeg for
 screenshots and example code
New time-series plotting functions
 
 * psd - plots the power spectral density of a time series
 * csd - plots the cross spectral density of two time series
 * cohere - plots the coherence
 See the examples dir in the src distro: psd_demo.py and csd_demo.py
Substantially improved layout
 The transform architecture was refactored, allowing much more
 precise layout. Lines, patches, text, etc... can now be placed and
 scaled in arbitrary units, relative axes units, or physical size.
 Applicaiton programmers who want to create lines, patches and text
 directly using the API should read the transform module docs for
 more info. See the text help for an example of how to specify text
 locations in axes coords (0,0 is lower left and 1,1 is upper right)
Expanded legend capabilities
 The legend class is improved, with a more sophisticated layout
 engine and the ability to accept lines and rectangle patches as an
 optional first argument to specify which lines/patches make up the
 legend. There are also additional legend placement locations, like
 'upper center'. See
 http://matplotlib.sourceforge.net/screenshots.html#legend_demo
Expanded errorbar capabilities
 Gary Ruben contributed some code to support x and y errorbars,
 either symmetrix or asymettric, in one enhanced function 'errorbar'.
 See the errorbar_demo.py for examples of all the wild and wonderful
 errorbar styles. Bar charts can now also display errorbars; see
 http://matplotlib.sourceforge.net/screenshots.html#barchart_demo
Figure size and DPI controllable from matlab interface
 The figure command now takes optional args figsize and dpi to set
 the figure size and DPI in the matlab interface. This change
 involved some changes in the way default sizes and resolutions were
 handled among the various backends, with the effect that figures
 generated by existing scripts may appear different, eg, in the
 relative size of text to the figure elements. The advantage is that
 the current implementation does a better job of computing true sizes
 with increased fidelity between backends. Apologies for any
 inconveniences!
API changes
 There have been some minor changes to the API for those using
 matplotlib embedded in GTK applications. 
 * If you instantiate an Axes of Subplot intace, the first arg to
 __init__ must be the figure that contains it.
 * If you instantiate any artists, eg, Line2D, Rectangle, or
 AxisTextGTk, you must initialize them with their dpi, bbox, and
 transforms. See the help for the transforms modules and the
 examples logo.py and mri_with_eeg.py, where the objects are
 explicity created using the new API.
 * The only change to the matlab interface is in the signature of the
 errorbar func, which breaks matlab compatibility for the enhanced
 ability to do x and y errorbars.
 * See matplotlib.axes.py for a complete list of API changes