On Thu, Jan 5, 2012 at 10:58 AM, Benjamin Root <ben.r...@ou.edu> wrote: > > > On Thu, Jan 5, 2012 at 10:40 AM, Benjamin Root <ben.r...@ou.edu> wrote: >> >> >>> At the very least, it would help in compartmentallizing all the possible >>> drawing attributes that are common across all artists. Currently, I am >>> envisioning using a defaultdict object (which was introduced in python 2.5) >>> or subclassing from it. This might help in keeping compatibility with >>> existing code. Subclassing would allow for modifying __get__ and __set__ to >>> treat some elements like 'c' and 'color', 'lw' and 'linewidth' and so on as >>> the same. > > > Grrrr, in defaultdict(), the default_factory is called without arguments, so > a factory can't be made to produce a default value for a given key, unless I > resort to more hackary...
Might be better to explicitly use properties for this rather than overriding dict: class Style(object): __slots__ = ('_lw') def __init__(self, lw=None): self.lw = lw def _set_linewidth(self, lw): self._lw = lw def _get_linewidth(self): return self._lw lw = property(_get_linewidth, _set_linewidth) linewidth = property(_get_linewidth, _set_linewidth) Declaring slots allows you to keep the available attributes to those explicity listed. This way, you can't set a random (misspelled?) attribute and wonder for hours why style.edgcolor = 'blue' doesn't work. Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma ------------------------------------------------------------------------------ Ridiculously easy VDI. With Citrix VDI-in-a-Box, you don't need a complex infrastructure or vast IT resources to deliver seamless, secure access to virtual desktops. With this all-in-one solution, easily deploy virtual desktops for less than the cost of PCs and save 60% on VDI infrastructure costs. Try it free! http://p.sf.net/sfu/Citrix-VDIinabox _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users