In the normal matplotlib axes class, it is possible to set gridlines to have a certain transparency (alpha level). I'm attempting to utilise this with the APLpy package using the following:
fig = pyplot.figure(figsize=(18,8))
gridspec_layout = gridspec.GridSpec(1,2)
gridspec_layout1 = gridspec.GridSpecFromSubplotSpec(3, 3, subplot_spec=gridspec_layout[1], hspace=0.0, wspace=0.0)
pyplot_0 = fig.add_subplot(gridspec_layout1[0])
pyplot_1 = fig.add_subplot(gridspec_layout1[1])
pyplot_2 = fig.add_subplot(gridspec_layout1[2])
pyplot_3 = fig.add_subplot(gridspec_layout1[3])
pyplot_4 = fig.add_subplot(gridspec_layout1[4])
pyplot_5 = fig.add_subplot(gridspec_layout1[5])
pyplot_6 = fig.add_subplot(gridspec_layout1[6])
pyplot_7 = fig.add_subplot(gridspec_layout1[7])
pyplot_8 = fig.add_subplot(gridspec_layout1[8])
M33 = aplpy.FITSFigure('myfits.fits', figure=fig, subplot=list(gridspec_layout[0].get_position(fig).bounds), dimensions=[0, 1], slices=[0])
M33 = aplpy.FITSFigure('myfits.fits')
M33.show_grid()
M33.set_grid_alpha(0.1)
pyplot.savefig('myeps.eps', format='eps', dpi=800, clobber=True)
So the transparency is very high and very subtle. However, when I save the plot as an .eps format file, the transparency is lost and my lines are white. In normal matplotlib, I usually use:
ax.set_rasterized(True)
Such that the transparency kind of looks as it should.
I was wondering if there were an equivalent for the aplpy.FITSFigure class...?
Many thanks!