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Are developers of matplotlib planning to implement something like this: http://www.pyngl.ucar.edu/Examples/Images/ngl04p.2.png ? Thanks. -- View this message in context: http://old.nabble.com/Streamlines-tp29867429p29867429.html Sent from the matplotlib - devel mailing list archive at Nabble.com.
On Fri, Oct 1, 2010 at 8:59 PM, Stan West <sta...@nr...> wrote: > Hi, developers. I stumbled upon this when I noticed that gist_stern_r > isn't the reverse of gist_stern. As the attached script shows, the > discontinuity in red is wrong, and green stays zero instead of ramping. The > problem seems to be that when cm.revcmap() reverses a linear segment map > spec (such as {'red': [(0, 0, 0), (0.5, 1, 1), (1, 1, 1)], ...}), it doesn't > swap the second and third elements of each tuple—the color values facing in > each direction. That makes no difference for continuous colormaps but > distorts discontinuous maps such as gist_stern. I believe that the attached > "cm.patch" file fixes the problem. > > The other patch, "_cm.patch", is only aesthetic after the above patch is > applied. It changes an element of the gist_stern colormap spec that should > have been unused but which caused the green channel to stay at zero with the > old revcmap. With the patched revcmap, the changed element should not be > used, but the colormap spec will look like most others with the second and > third elements of the tuple being equal. > > I can confirm the bug, but I have not tested the patch. Ben Root
import matplotlib as mpl import matplotlib.pyplot as plt import matplotlib.cm as mcmap import numpy as np def show_cmap_rgb(cmap, axes): x = np.linspace(0, 1, 256) rgba = cmap(x) lines = [] for (idx, color) in enumerate('rgb'): lines.extend(axes.plot(x, rgba[:, idx], ':', color=color)) axes.set_xlim(0, 1) axes.set_ylim(-0.1, 1.1) return lines fig = plt.figure() axes_f = fig.add_subplot(2, 1, 1) show_cmap_rgb(mcmap.gist_stern, axes_f) axes_f.set_title('Forward') axes_r = fig.add_subplot(2, 1, 2) show_cmap_rgb(mcmap.gist_stern_r, axes_r) axes_r.invert_xaxis() axes_r.set_title('Reversed')