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This announcement, with links, is available at http://matplotlib.sf.net/whats_new.html. What's new in matplotlib-0.64 * polar plots - polar plots with the polar command. These create a axes.PolarAxes instance, which defines the default axes, gridlines, etc. Other plot types can be used on polar axes, eg scatter. See examples/polar_demo.py, examples/polar_scatter.py and screenshot at http://matplotlib.sf.net/screenshots.html#polar_demo. * cairo backend - Steve Chaplin has contributed cairo and gtkcairo backends - http://cairographics.org. Cairo is a vector graphics library designed to provide high-quality display and print output. Currently supported output targets include the X Window System, OpenGL, in-memory image buffers, and image files (PNG and PostScript). See http://matplotlib.sf.net/backends.html#Cairo for details and install instructions * ipython integration - Fernando has continued his excellent work integrating matplotlib with ipython and a number of pylab bugs have been ironed out. matplotlib has incorporated ipython's numutils in the matplotlib.mlab module - See IPython-0.6.4 - all similarities betwen matplotlib and ipython version numbers are purely coincidental. * Jochen Voss has made a number of bugfixes and improvements to the postscript backend, including text layout problems. PS backend should now be DSC compliant. * xticks and yticks now take kwargs so you can do, for example xticks( arange(3), ('Tom', 'Dick', 'Harry'), fontsize=14 ) * imshow now supports PIL images - see examples/image_demo3.py. Thanks Andrew Straw. * barh for horizontal bar charts. See examples/barh_demo.py * added a verbose class to allow different levels of verbosity - see http://matplotlib.sf.net/.matplotlibrc for details. Eg, you can now do > python myscript.py --verbose-helpful to get a lot of information about what matplotlib is doing behind the scenes, what resource files are being used etc. The default verbose settings and file handles for reporting are customizable in rc. * numerous small bugfixes and improvements: fixes for gcc-3.4, allow -dsomeflag where someflag is not a backend, errorbar now accepts barsabove to determine the plot order of the errorbar markers and lines, fixed a corrcoef bug where args is a matrix, Andrew Dalke contributed code to extend the strftime range to the new matplotlib date range, fixes to support for python2.2 Downloads at http://sourceforge.net/project/showfiles.php?group_id=80706&package_id=82474&release_id=281218 Enjoy! JDH
Chris wrote: > Dear Xavier, > > I am also a brand new user. I can use this one to set the fontsize > which may be useful for you. > > xlabel('Points', fontsize=30) Xavier, Also note that absolute and relative font sizes are allowed, e.g. fontsize = 'large' or fontsize = 'larger'. This usage uses the default font size to scale up or down the particular text that you are drawing. To scale up all fonts proportionally, just change the default font size. This is easier than using font sizes in points as in the previous example. See the documentation about fonts at http://matplotlib.sourceforge.net/fonts.html -- Paul > Xavier MERIAUX wrote: > >> Hi, >> >> Could you tell me if it is possible to control the fontsize of the x >> and ylabel. I can't found anything about this in the tutorial ... >> >> I tried without success : >> >> plot([1,2,3]) >> x_label = get(gca(), "xlabel") >> set(x_label,fontsize=30) >> xlabel('Points') >> show() >> >> Thanks a lot, >> >> Xavier. > -- Paul Barrett, PhD Space Telescope Science Institute Phone: 410-338-4475 ESS/Science Software Branch FAX: 410-338-4767 Baltimore, MD 21218
Dear Xavier, I am also a brand new user. I can use this one to set the fontsize which may be useful for you. xlabel('Points', fontsize=30) Best regards, Chris Xavier MERIAUX wrote: > Hi, > > Could you tell me if it is possible to control the fontsize of the x and > ylabel. I can't found anything about this in the tutorial ... > > I tried without success : > > plot([1,2,3]) > x_label = get(gca(), "xlabel") > set(x_label,fontsize=30) > xlabel('Points') > show() > > Thanks a lot, > > Xavier. > > > > ------------------------------------------------------- > This SF.Net email is sponsored by: > Sybase ASE Linux Express Edition - download now for FREE > LinuxWorld Reader's Choice Award Winner for best database on Linux. > http://ads.osdn.com/?ad_id=5588&alloc_id=12065&op=click
Hi, Could you tell me if it is possible to control the fontsize of the x and ylabel. I can't found anything about this in the tutorial ... I tried without success : plot([1,2,3]) x_label = get(gca(), "xlabel") set(x_label,fontsize=30) xlabel('Points') show() Thanks a lot, Xavier.
Thanks a lot for the very very detail reply. I can not find the time to do it by myself at the moment. I will come back to this issue again after 2 two weeks. Best regards, Chris John Hunter wrote: >>>>>>"Chris" == Chris <Ch...@Fu...> writes: > > > Chris> Dear friends, I just start to use matplotlib, which looks > Chris> quite promising for me. I need to draw a couple of arrows > Chris> in my 2D plot. Is there a simple way to get it work? > > Chris> Any suggustions are welcome. > > I recommend creating an arrow class, derived from matplotlib.artist.Artist, that > contains a matplotlib.lines.Line2D for the arrow stem and a > matplotlib.patches.RegularPolygon with numVertices=3 for the arrow > head. You can control the rotation of the arrowhead with the > orientation argument. > > Once you have this class so defined, you can add it instances of it to > the axes with ax.add_artist(arrow). > > I'll be happy to help out with a prototype if you have trouble. Take > a look at matplotlib.table.Cell, which John Gill wrote to support > tables. You can use this as a simple model for how to write new > artists (things that draw into a figure) composed of other artists. > > It would be nice to have a fancy arrow class, that supported text > labeling, at the base, along the stem and at the arrowhead. You could > also consider a more sophisticated polygon other than a triangle for > the arrowhead. > > Finally, if you needed to draw *a lot of arrows*, order of a thousand > or more (eg for direction fields), a > matplotlib.collections.PolygonCollection would be the way to go for > efficiency. > > JDH > > > ------------------------------------------------------- > This SF.Net email is sponsored by: > Sybase ASE Linux Express Edition - download now for FREE > LinuxWorld Reader's Choice Award Winner for best database on Linux. > http://ads.osdn.com/?ad_id=5588&alloc_id=12065&op=click