[matplotlib-devel] suggestion for the interpolation in imshow()

to reverse this so that the data array is first interpolated & resampled and then converted by cmap to RGB? Andrew Hawryluk - This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the cool

Re: [matplotlib-devel] suggestion for the interpolation in imshow()

> Eric Firing wrote: > > Andrew Hawryluk wrote: >> The interpolation algorithm used in imshow() can produce spurious >> results, as has been noted before: >> >> _http://article.gmane.org/gmane.comp.python.matplotlib.general/12062_ >> >> This happen

[matplotlib-devel] path simplification can decrease the smoothness of data plots

ly parallel to line1, combine them by removing the common point, leaving a single line where both end points existed in the original data Thanks again, Andrew Hawryluk <> test.pdf Description: test.pdf -- This SF.net

Re: [matplotlib-devel] path simplification can decrease the smoothness of data plots

> -Original Message- > From: Michael Droettboom [mailto:md...@stsci.edu] > Sent: 16 Jan 2009 1:31 PM > To: Andrew Hawryluk > Cc: matplotlib-devel@lists.sourceforge.net > Subject: Re: [matplotlib-devel] path simplification can decrease the > smoothness of data plots &g

[matplotlib-devel] cannot use some fonts on pdf, ps, eps backends

When I use Arial Unicode MS within matplotlib, it cannot save to any PostScript-based formats (pdf, eps, ps). Apparently, the font has no glyph names: Traceback (most recent call last): File "G:\Chem2009\GK6 Fan Dynamics\plotFanCurve.py", line 31, in p.savefig('memo/figures/normalizedFanCur

Re: [matplotlib-devel] cannot use some fonts on pdf, ps, eps backends

> -Original Message- > From: Jouni K. Seppänen [mailto:j...@iki.fi] > Sent: 6 Apr 2009 1:20 PM > To: matplotlib-devel@lists.sourceforge.net > Subject: Re: [matplotlib-devel] cannot use some fonts on pdf, ps,eps > backends > > "Andrew Hawryluk" writes:

[matplotlib-devel] performance (speed) of logarithmic plots

0.352 = It seems that semilogx could be made as fast as semilogy since they have to do the same amount of work, but I'm not sure where the differences lie. Can anyone suggest where I should look first? Much thanks, Andrew Hawryluk matplotlib.__version__ = '0.99.1' Windows XP Profe

Re: [matplotlib-devel] performance (speed) of logarithmic plots

> Hello, > How did you get the cumtime listing? The output of the run doesn't produce a > cumulative sum table as you showed here. > Gökhan No, it doesn't. The output of the run is four huge cProfile listings, one for each plotting command tested. I manually searched the data for long cumtime's

[matplotlib-devel] hist doesn't work with 2D arrays

e attached image shows the output compared with the previous version. import numpy as n import matplotlib.pyplot as p a = n.random.normal(size=1) a = a.reshape((100,100)) # make a 2D array of normally-distributed random numbers p.hist(a) Thanks for your work on matplotlib! Andrew Hawryl

Re: [matplotlib-devel] hist doesn't work with 2D arrays

Ah - that makes sense. I guess I didn't catch that change in the release notes. Thanks again! -Original Message- From: Manuel Metz [mailto:[EMAIL PROTECTED] Sent: 7 Jul 2008 11:49 AM To: matplotlib-devel@lists.sourceforge.net Cc: Andrew Hawryluk Subject: Re: [matplotlib-devel]