Hello,
I see a significant difference in plots generated with two recent
versions of matplotlib, and unfortunately not in favour of the newer
one, otherwise there would be no reason to write here, I guess.
The problem is following, I plot some data wich might be undefined in
some cases. For example, I plot two lines and one of them has values
'None' only. Using the 0.98.3 version there is no problem, the graph
with 'None'-s is just not shown, but with 0.98.5 the y-scale is
something close to zero only, if the first line is 'None'-s and I do not
see the plot for other line as well.
I add simple code, which works fine with 0.98.3 and not with 0.98.5. It
is definitely not difficult to make a workaround, but for some reason I
like the behaviour of previous version better and if there is no need to
change it, maybe we could turn it back into situation, where one line of
missing data would not destroy the whole graph.
Best regards,
Andres Luhamaa
Univ. of Tartu, Estonia
import
sys
#sys.path.insert(1,'/home/andres/SKRIPTID/lib/python')
import numpy as
np
import
matplotlib
matplotlib.use( 'Agg'
)
import
pylab
strm=np.array([[None,10,None,5,1],
[None,7.,None,5.,2.],
[None,8.,None,5.,3.],
[None,6.,None,5.,4.],
[None,7.,None,5.,5.],
[None,8.,None,5.,6.],
[None,8.,None,5.,7.],
[None,7.,None,5.,8.],
[None,7.,None,5.,9.],
[None,8.,None,5.,10.],
[None,11.,None,5.,11.],
[None,11.,None,5.,12.],
[None,10.,None,5.,13.],
[None,8.,None,5.,14.],
[None,7.,None,5.,15.]],dtype=float)
fig=pylab.Figure()
pylab.plot(strm[:,0],'r-',strm[:,1],'b-')
pylab.savefig('test.png')
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