I have a plot of spatial data that I display with imshow().
I need to be able to overlay the crystal lattice that produced the data. I have a png file of the lattice th
With out your data, I can't test this, but something like
import matplotlib.pyplot as plt
import numpy as np
import copy
my_cmap = copy.copy(plt.cm.get_cmap('gray')) # get a copy of the gray color map
my_cmap.set_bad(alpha=0) # set how the colormap handles 'bad' values
lattice = plt.imread('path')
im = plt.imshow(data[0,:,:],vmin=v_min,vmax=v_max,extent=(0,32,0,32),interpolation='nearest',cmap='jet')
lattice[lattice< thresh] = np.nan # insert 'bad' values into your lattice (the white)
im2 = plt.imshow(lattice,extent=(0,32,0,32),cmap=my_cmap)
Alternately, you can hand imshow
a NxMx4 np.array
of RBGA values, that way you don't have to muck with the color map
im2 = np.zeros(lattice.shape + (4,))
im2[:, :, 3] = lattice # assuming lattice is already a bool array
imshow(im2)