=
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 Professional
Version
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
module
-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 hawr...@novachem.com writes:
When I use Arial
-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
Michael Droettboom wrote
them by removing the
common point, leaving a single line where both end points existed in the
original data
Thanks again,
Andrew Hawryluk
attachment: test.png
test.pdf
Description: test.pdf
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This SF.net email is sponsored
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 happens because the data is converted to RGB before
it be 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 coolest Linux
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 Hawryluk
Calgary
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] hist
