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On Fri, Aug 6, 2010 at 3:33 PM, Damon McDougall <D.M...@wa...>wrote: > Hi all, > > Don't know if anybody else has found a colormap that is aesthetically > pleasing and prints well in black and white. I found one after a lot of > Googling. Perhaps useful for plotting figures in journals that charge a lot > for colour figures. I got the colormap from: > http://ieeexplore.ieee.org/iel5/74/22101/01028735.pdf%3Farnumber%3D1028735 > > I decided to code it up (see attached text file for the cdict). If anybody > finds it useful, maybe it could go into the default colormaps that ship with > matplotlib. > > > > > Regards, > -- Damon > > -------------------------- > Damon McDougall > Mathematics Institute > University of Warwick > Coventry > CV4 7AL > d.m...@wa... > > Actually, I have been looking at a somewhat related problem. It might be a useful feature in matplotlib.color to provide a function that can take a colormap and produce a grayscale version of it. In my limited amount of research, I have found that one could convert the rgb values into hsv or hsl and use the "value" or "lightness" respectively for the grayscale value. I forget which one was aesthetically better, though. Ben Root
Hi all, Don't know if anybody else has found a colormap that is aesthetically pleasing and prints well in black and white. I found one after a lot of Googling. Perhaps useful for plotting figures in journals that charge a lot for colour figures. I got the colormap from: http://ieeexplore.ieee.org/iel5/74/22101/01028735.pdf%3Farnumber%3D1028735 I decided to code it up (see attached text file for the cdict). If anybody finds it useful, maybe it could go into the default colormaps that ship with matplotlib.
Hello, Just reporting if all is good with the mpl test suite. >>> import matplotlib >>> matplotlib.test() /home/gsever/Desktop/python-repo/matplotlib/lib/matplotlib/axes.py:2377: UserWarning: Attempting to set identical left==right results in singular transformations; automatically expanding. left=730139.0, right=730139.0 + 'left=%s, right=%s') % (left, right)) ====================================================================== ERROR: matplotlib.tests.test_axes.test_pcolormesh ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.6/site-packages/nose/case.py", line 183, in runTest self.test(*self.arg) File "/home/gsever/Desktop/python-repo/matplotlib/lib/matplotlib/testing/decorators.py", line 32, in failer result = f(*args, **kwargs) File "/home/gsever/Desktop/python-repo/matplotlib/lib/matplotlib/testing/decorators.py", line 126, in decorated_compare_images '(RMS %(rms).3f)'%err) ImageComparisonFailure: images not close: /home/gsever/Desktop/result_images/test_axes/pcolormesh.png vs. /home/gsever/Desktop/result_images/test_axes/expected-pcolormesh.png (RMS 116.512) ---------------------------------------------------------------------- Ran 147 tests in 111.461s FAILED (KNOWNFAIL=45, errors=1) False ================================================================================ Platform : Linux-2.6.31.9-174.fc12.i686.PAE-i686-with-fedora-12-Constantine Python : ('CPython', 'tags/r262', '71600') Matplotlib : 1.0.0-rev8624 ================================================================================ Interestingly, when I try to run the test suite in IPython v0.10 it stops without executing the tests: In[9]: matplotlib.test() Usage: ipython [options] ipython: error: no such option: -y --------------------------------------------------------------------------- SystemExit Traceback (most recent call last) ... -- Gökhan