Re: [Matplotlib-users] interpolated pcolor image

[John H. <jdh...@ac...>]

>>>>> "Christian" == Christian Kristukat <ck...@ho...> writes:

    Christian> Hi, interpolation seems not to be supported for pcolor
    Christian> plots. Is that true? I want to plot nonaequidistant
    Christian> gridded data, so imshow is not the right choice. Using
    Christian> contourf with a large number of contour levels works
    Christian> fine but the eps output is huge. I'd prefer to have the
    Christian> image embedded as bitmap in an eps, that's why I'd like
    Christian> to use pcolor.  Regards, Christian


Nicholas Young contributed a patch which supports a NonUniformImage

Make sure you have the most recent CVS, eg

Checking in lib/matplotlib/image.py;
/cvsroot/matplotlib/matplotlib/lib/matplotlib/image.py,v  <--
image.py
new revision: 1.25; previous revision: 1.24
done

or later

Below  is an example.

from pylab import figure, show
import matplotlib.numerix as nx
from matplotlib.image import NonUniformImage

x = nx.arange(-4, 4, 0.005)
y = nx.arange(-4, 4, 0.005)
print 'Size %d points' % (len(x) * len(y))
z = nx.sqrt(x[nx.NewAxis,:]**2 + y[:,nx.NewAxis]**2)

fig = figure()
ax = fig.add_subplot(111)
im = NonUniformImage(ax, extent=(-4,4,-4,4))
im.set_data(x, y, z)
ax.images.append(im)
ax.set_xlim(-4,4)
ax.set_ylim(-4,4)

fig2 = figure()
ax = fig2.add_subplot(111)
x2 = x**3
im = NonUniformImage(ax, extent=(-64,64,-4,4))
im.set_data(x2, y, z)
ax.images.append(im)
ax.set_xlim(-64,64)
ax.set_ylim(-4,4)
show()