The postscript output of the Cairo backend supports transparency
emulation, though it hasn't been tested in some time. Eric's suggestion
(to output PDF and then convert to EPS) is also a reasonable one.
Mike
On 06/20/2012 10:38 AM, Francesco Montesano wrote:
> Dear list,
>
> it might be that this is not the best place to ask, but I guess that
> there are enough people with experience with colors.
>
> I think plots with nice colors and shaded areas are very nice, but for
> my publication I have to use eps files, that do not support
> transparency.
> The script below produce a figure like the one that I would like to
> make. If I save it as eps all the shaded areas are not transparent and
> the plot look ugly and unreadable.
>
> A way to emulate transparency that I've applied some time ago was to
> get the RGB value of the transparent color (with DigitalColor Meter on
> Mac) and to insert it by hand in fill_between, with a low value for
> the zorder option. The results was fine, but I don't like too much
> this approach, as any change in color or alpha value would require to
> go, get the new color, insert it and redo the figure.
>
> Is anyone aware of a way to obtain automatically a RGB color that on
> screen or printed looks similar to the corresponding RGBA?
>
> Thanks in advance,
> Francesco
>
> ********Sample code*********
>
> "plot with errors done with fill_between. Emulation of alpha in eps"
>
> import itertools as it
> import matplotlib.pyplot as plt
> import numpy as np
>
> col = it.cycle([ 'm', 'r', 'g', 'b', 'c', 'y', 'k', ])
> ls = it.cycle( [ '-', '--', '-.', ':' ][::-1])
>
> #figure
> fig = plt.figure()
> ax = fig.add_subplot(111)
>
> x= np.linspace(0.5,5,100)
> for i in range(3):
> c = col.next()
> l = ls.next()
> ax.plot( x, np.sin(x)**i, color=c, ls=l,
> label='$sin^{0}(x)$'.format(i), zorder=10+i )
> ax.fill_between( x, np.sin(x)**i + 1./x, np.sin(x)**i - 1./x,
> color=c, linestyle=l, alpha=0.5, zorder=i+1)
>
> ax.legend(frameon=False)
>
> plt.savefig("test_alpha.pdf")
> plt.savefig("test_alpha.eps")
> plt.show()
>
> exit()
> ********End sample code*********
>
> ------------------------------------------------------------------------------
> Live Security Virtual Conference
> Exclusive live event will cover all the ways today's security and
> threat landscape has changed and how IT managers can respond. Discussions
> will include endpoint security, mobile security and the latest in malware
> threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
> _______________________________________________
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
------------------------------------------------------------------------------
Live Security Virtual Conference
Exclusive live event will cover all the ways today's security and
threat landscape has changed and how IT managers can respond. Discussions
will include endpoint security, mobile security and the latest in malware
threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
