def plotPlainImg(sim, cam, rawdata, t, odir):
for R, C in zip(rawdata, cam):<EOL><INDENT>fg = figure()<EOL>ax = fg.gca()<EOL>ax.set_axis_off()  <EOL>ax.imshow(R[t, :, :],<EOL>origin='<STR_LIT>',<EOL>vmin=max(C.clim[<NUM_LIT:0>], <NUM_LIT:1>), vmax=C.clim[<NUM_LIT:1>],<EOL>cmap='<STR_LIT>')<EOL>ax.text(<NUM_LIT>, <NUM_LIT>, datetime.utcfromtimestamp(C.tKeo[t]).strftime('<STR_LIT>')[:-<NUM_LIT:3>],<EOL>ha='<STR_LIT:left>',<EOL>va='<STR_LIT>',<EOL>transform=ax.transAxes,<EOL>color='<STR_LIT>',<EOL>size=<NUM_LIT><EOL>)<EOL>writeplots(fg, '<STR_LIT>'.format(C.name), t, odir)<EOL><DEDENT>
No subplots, just a plan

http://stackoverflow.com/questions/22408237/named-colors-in-matplotlib