On 05/17/2010 06:32 AM, Reckoner wrote: > Hi, > > Using the following > > >>> pcolor(x,y,z,shading='interp') > > is it possible to change the interpolation method used? I noticed that > there are set_interpolation methods for images created using > > In [83]: h = imshow( z) > > In [84]: h.set_interpolation? > Type: instancemethod > Base Class: <type 'instancemethod'> > String Form: <bound method AxesImage.set_interpolation of > <matplotlib.image.AxesImage object at 0x047B27D0>> > Namespace: Interactive > File: c:\python26\lib\site-packages\matplotlib\image.py > Definition: h.set_interpolation(self, s) > Docstring: > Set the interpolation method the image uses when resizing. > > ACCEPTS: ['nearest' | 'bilinear' | 'bicubic' | 'spline16' | > 'spline36' | 'hanning' | 'hamming' | 'hermite' | 'kaiser' | > 'quadric' | 'catrom' | 'gaussian' | 'bessel' | 'mitchell' | > 'sinc' | 'lanczos' | ] > > are these available for pcolor?
No. Pcolor simply fills quadrilaterals. There is a NonUniformImage class that accepts image interpolation options. I don't think anyone has ever gotten around to giving it a nice interface via an Axes method or pyplot function, but there is an example of its use: http://matplotlib.sourceforge.net/examples/pylab_examples/image_nonuniform.html In the svn version of mpl there is also a gouraud shading option to pcolormesh, which provides interpolation on non-rectangular grids. Eric ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
