Re: [matplotlib-devel] MEP10: Modernizing the documentation
On 26 August 2012 18:19, Michael Droettboom wrote: > I understand the comments about the difficulty of introspection. The > reason it works the way it does is so that additional parameters can be > added to the artist layer without needing to update every single > plotting function. A real world example of this is when hatching was > added -- that feature only had to be added in one place and most artists > were able to use it. In that sense, I think this approach is very > beautiful in terms of code maintainability and extensibility. I'm jumping into this conversation a bit late, but from Python 3.3 it will be possible to set a __signature__ attribute on a function, using a Signature object which can be programmatically generated. So it should be possible, with a bit of legwork, to introspect pass-through parameters without having to manually declare them at the highest level. The details are here: http://www.python.org/dev/peps/pep-0362/ Thanks, Thomas -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-devel mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
[matplotlib-devel] clippedline example status
Hello,
I was playing a bit with the clippedline example
(http://matplotlib.org/examples/pylab_examples/clippedline.html) and I
feel it is not working anymore.
From what I understand of the traceback I got, there may be something
evil happening after setting
>>> self._marker = 's'
in the draw method. Maybe using the self.set_marker('s') is safer
Also, by reading some archived emails from this mailing list, it seems
that the purpose of this example became pointless because line clipping
is now implemented directly in matplotlib. Am I right ?
For what it's worth, I modified the clippeline.py example to make it
just serve the purpose of dynamically changing the appearance of the
line when zoom level is changing. I called t "zoom_adaptive_line.py" :
https://gist.github.com/3607993
Would this script be an appropriate replacement for the clippedline
example ?
Best,
Pierre
signature.asc
Description: OpenPGP digital signature
--
Live Security Virtual Conference
Exclusive live event will cover all the ways today's security and
threat landscape has changed and how IT managers can respond. Discussions
will include endpoint security, mobile security and the latest in malware
threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___
Matplotlib-devel mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
Re: [matplotlib-devel] backend_macosx linewidth bug
Hi Eric, I may be able to look at this over the weekend. Best, -Michiel. --- On Sun, 9/2/12, Eric Firing wrote: > From: Eric Firing > Subject: backend_macosx linewidth bug > To: "Michiel de Hoon" > Cc: "matplotlib development list" > Date: Sunday, September 2, 2012, 10:17 PM > Michiel, > > In the 4th comment on > > https://github.com/matplotlib/matplotlib/issues/786 > > I give a little example illustrating a macosx bug: it seems > that when drawing a path, the linewidth, which is specified > in points, is not interpreted correctly unless the > figure.dpi has exactly the right value. For a high > dpi, as in the example I gave, all lines are too thin, but > text is still scaled correctly, and the general layout is > correct. > > Will you be able to take a look? We are trying to get > out a release soon, so it would be nice to have this fixed. > > Thank you. > > Eric > -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-devel mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
