On Fri, May 15, 2009 at 6:41 AM, Bala subramanian <bala.biophys...@gmail.com> wrote: > Friends, > I have a data like the following. I dnt want to plot the data literally as > shown below. I want to define a color red for 0, blue for 1 and yellow for > 2. Each color represents the properly of the y-values. I want to define > colors for values and monitor the color changes with time. I checked for > color definition in the documentation but i cudnt make out anything. Is it > possible. I would greatly appreciate any examples for the same.
The example belows shows the guts of what needs to be done. It creates a dictionary mapping value to color, and uses a BrokenBarCollection to plot the regions updating them with a list of new facecolors on every step. Note that the "pylab animation" I use below is for illustrative purposes only and is not supported -- rather you need to embed the update calls in a GUI idle, timer or other handler, as in the examples at http://matplotlib.sourceforge.net/examples/animation/index.html But since I don't know what GUI you are using, I'll leave this part as an exercise :-) import matplotlib.pyplot as plt from matplotlib.colors import colorConverter import matplotlib.collections as collections import numpy as np Ncol = 7 x = np.array("""\ 0 0 0 1 1 1 1 1 1 0 0 1 1 1 1 1 2 0 0 1 1 1 1 1 3 0 0 1 1 1 1 1 4 0 0 1 1 1 1 1 5 0 0 1 1 1 1 1 6 0 0 1 1 1 1 1 7 0 0 1 1 1 1 1 8 0 0 1 1 0 0 1 9 0 0 2 2 0 0 1 10 1 1 2 2 0 0 1 11 1 1 2 2 0 0 1 12 1 1 2 2 0 0 1 13 1 1 2 2 0 0 1 14 1 1 2 2 0 0 1 15 1 1 2 2 0 0 1 """.split(), int) x = x.reshape(len(x)/(Ncol+1), Ncol+1) # map value to color -- the color converter returns rgba which is what # the collection wants colors = (0,'red'), (1,'blue'), (2,'yellow') colord = dict([(code, colorConverter.to_rgba(color)) for code, color in colors]) Ncol = 7 # this is for "pylab animation" plt.ion() xranges = [(xmin, xmin+1) for xmin in range(Ncol)] collection = collections.BrokenBarHCollection(xranges, [0, 1]) fig = plt.figure() ax = fig.add_subplot(111) ax.add_collection(collection) ax.set_xlim(0, Ncol+1) ax.set_ylim(-0.1, 1.1) for row in x: t = row[0] vals = row[1:] colors = [colord[val] for val in vals] collection.set_facecolors(colors) fig.canvas.draw() plt.show() ------------------------------------------------------------------------------ Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
