Hello again,
I tried the script you provided to test the PolyCollection and that works fine.
I am working under Mac OS X 10.6.6 Snow Leopard and use matplotlib 1.0.1.
That is the script where I fail with eps but not with pdf:
import matplotlib.pyplot as plt
import numpy
from scipy import stats
p=0.3
m=0
s1min=120
s1max=140
s2min=1200
s2max=1600
x = numpy.arange((s2max*-1.5), (s2max*1.5), 0.2)
def pdf(x,s1,s2):
return p * stats.norm.pdf(x, loc=m, scale=s1) + (1-p) * stats.norm.pdf(x,
loc=m, scale=s2)
pdf_min = pdf(x,s1min,s2min)
pdf_max = pdf(x,s1max,s2max)
plt.plot(x, pdf_min, x, pdf_max, color="k")
plt.fill_between(x, pdf_min, pdf_max, color='0.85')
#plt.show()
#plt.savefig("testplot.eps")
plt.savefig("testplot.pdf")
/Johannes
Am 12.05.2011 um 15:28 schrieb John Hunter:
>
>
> On Thu, May 12, 2011 at 3:42 AM, Johannes Radinger <jradin...@gmx.at> wrote:
> Hello ,
>
> sofar I know how to safe a plot into a *.eps file and it works good,
> but there is one issue with filled areas between two functions.
>
> When I try to use:
> plt.fill_between(x, pdf_min, pdf_max, color='0.85')
>
> and I try to open it on my mac I fail. So far as I know
> is the mac converting the eps internally to pdf to be
> displayed, but it seems it can't be converted.
>
> If I try to set the output to *.pdf it works perfectly and I can
> open the file. Something in the combination of fill_between
> and eps is causing the error. I tried also color="red" but with
> the same problems.
>
> Is there anything I've to set because I need the output as
> a working eps.
>
>
> under the hool, fill_between uses a PolyCollection. Below is a simple
> example which uses a PolyCollection directly. Does this crash when you
> convert eps -> pdf. If not, maybe we can hone in on what is special about
> the vertices in your fill_between example. Also, you should give us some
> information about what version of matplotlib and OSX you are running.
>
>
> import numpy as np
> import matplotlib.collections as mcollections
> import matplotlib.pyplot as plt
>
> theta = np.linspace(0, 2*np.pi, 20)
> x1 = np.cos(theta)
> y1 = np.sin(theta)
>
> x2 = x1 + 5
> y2 = y1 + 5
>
> verts1 = zip(x1, y1)
> verts2 = zip(x2, y2)
>
> c = mcollections.PolyCollection([verts1, verts2], facecolors=['red', 'green'])
>
> ax = plt.subplot(111)
> ax.add_collection(c)
> ax.axis([-5, 10, -5, 10])
>
> plt.savefig('test.eps')
> plt.show()
>
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