>>>>> "Jeff" == Jeff Huang <[EMAIL PROTECTED]> writes:
Jeff> Is it possible to have gradients in the bar graphs made by
Jeff> matplotlib? I couldn't find anything about it in the user
Jeff> guide.
Here is some example code form the mailing list
To: Christopher Barker <[EMAIL PROTECTED]>
Cc: matplotlib-users@lists.sourceforge.net
Subject: Re: [Matplotlib-users] graphs
From: John Hunter <[EMAIL PROTECTED]>
Date: Tue, 16 May 2006 15:01:15 -0500
>>>>> "Christopher" == Christopher Barker <[EMAIL PROTECTED]> writes:
Christopher> That I don't know. The Agg renderer certainly can do
Christopher> a nice job with gradients, but I don't know if MPL
Christopher> support that.
You can emulate gradients using matplotlib images -- either with colormaps or
defining your own rgba endpoints for the gradients. Here's an example
of an axes background gradient
from pylab import figure, show, nx, cm
fig = figure()
xmin, xmax = xlim = 0,2
ymin, ymax = ylim = -1,1
ax = fig.add_subplot(111, xlim=xlim, ylim=ylim,
autoscale_on=False)
X = [[.6, .6],[.7,.7]]
ax.imshow(X, interpolation='bicubic', cmap=cm.Blues,
extent=(xmin, xmax, ymin, ymax), alpha=1)
t = nx.arange(xmin, xmax,0.01)
ax.plot(t, nx.sin(2*nx.pi*t), lw=2, color='black')
show()
Likewise, you can make your own gradient bars charts:
from pylab import figure, show, nx, cm
def gbar(ax, x, y, width=0.5, bottom=0):
X = [[.6, .6],[.7,.7]]
for left,top in zip(x, y):
right = left+width
ax.imshow(X, interpolation='bicubic', cmap=cm.Blues,
extent=(left, right, bottom, top), alpha=1)
fig = figure()
xmin, xmax = xlim = 0,10
ymin, ymax = ylim = 0,1
ax = fig.add_subplot(111, xlim=xlim, ylim=ylim,
autoscale_on=False)
X = [[.6, .6],[.7,.7]]
ax.imshow(X, interpolation='bicubic', cmap=cm.copper,
extent=(xmin, xmax, ymin, ymax), alpha=1)
N = 10
x = nx.arange(N)+0.25
y = nx.mlab.rand(N)
gbar(ax, x, y, width=0.7)
ax.set_aspect('normal')
show()
Viewer discretion is advised.
If you want to get clever, you can define patterns and fills this way
too. We should add an interface to expose this functionality more
readily...
JDH
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