Hi André,
in order to correct the addition: I would propose to rewrite the
adjustaxis - method: instead of "value+delta" one could use (with "from types
import TupleType")
if type(value) == TupleType:
point=map(lambda x:x[0]+x[1] , zip(value,data))
else
point=value+data
or something in this direction. This would perform the correct addition
for tuples, too.
Axel
On Mon, Jan 24, 2011 at 10:36:16PM +0100, André Wobst wrote:
> Dear Dave,
>
> first of all thanks for sending this complete minimal example. You likely
> wouldn't have got an timely answer by me without it.
>
> Tuples are the right way to specify the y values. It is nice to see that you
> basically already got the point. The problem comes from "value+delta" in the
> adjustaxis method of the range style (graph/style.py). Both value and delta
> are tuples like (0, 0.1) and (0, 0.08) and "+" adds them and creates a tuple
> (0, 0.1, 0, 0.08). Instead (0, 0.18) should have been created. I don't really
> know how to properly fix that. Probably the possibility to provide a delta is
> just not supported for split axes. (For the moment it clearly is, whether
> this is acceptable. For the moment I would say so.)
>
> Anyway, as we identified the addition to be the problem, how about specifying
> the ymin and ymax value for the error bars? This runs fine, problem solved.
> Here is the code:
>
> from pyx import *
>
> g = graph.graphxy(width=8, y=graph.axis.split())
> g.plot(graph.data.points([(0.1, (0,0.1), (0,0.02), (0,0.18)),
> (0.5, (0,0.2), (0,0.12), (0,0.28)),
> (0.9, (0,0.3), (0,0.22), (0,0.38)),
> (101, (1,0.7), (1,0.62), (1,0.78)),
> (105, (1,0.8), (1,0.72), (1,0.88)),
> (109, (1,0.9), (1,0.82), (1,0.98))], x=1, y=2,
> ymin=3, ymax=4),
> [graph.style.symbol(),graph.style.errorbar()])
> g.writePDFfile("minimal")
>
> Best,
>
>
> André
>
>
> Am 22.01.2011 um 20:09 schrieb Dave Willmer:
>
> > Hi everyone,
> >
> > I'm having trouble getting error bars to appear on the y-axis when using a
> > split y-axis, has anyone has any experience with this?
> > Using the minimal example from the PyX website, I've got:
> >
> >
> > from pyx import *
> >
> >
> > g = graph.graphxy(width=8, y=graph.axis.split())
> >
> > g.plot(graph.data.points([(0.1, (0,0.1), 0.08),
> >
> > (0.5, (0,0.2), 0.08),
> >
> > (0.9, (0,0.3), 0.08),
> >
> > (101, (1,0.7), 0.08),
> >
> > (105, (1,0.8), 0.08),
> >
> > (109, (1,0.9), 0.08)], x=1, y=2, dy=3),
> >
> > [graph.style.symbol(),graph.style.errorbar()])
> >
> > g.writePDFfile("minimal")
> >
> >
> >
> > which is just adding a third column to the data points, and assigning it to
> > dy. This works if the x-axis is split (with y-errorbars), but doesn't work
> > if the y-axis is split. Also, it doesn't generate any error message - the
> > graph is created, it's just missing the errorbars.
> >
> >
> > I've tried changing the third (dy) data column to be a tuple like the
> > y-column, ie:
> >
> >
> > g.plot(graph.data.points([(0.1, (0,0.1), (0,0.08)), ...
> >
> >
> > however this throws the error
> >
> >
> > File "/Library/Python/2.5/site-packages/pyx/graph/axis/axis.py", line 348,
> > in adjustaxis
> >
> > assert len(value) == 2, "tuple of size two expected by bar axis '%s'" %
> > errorname
> >
> > AssertionError: tuple of size two expected by bar axis 'y'
> >
> >
> > Sticking in a 'print type(value), value)' statement just before this assert,
> > the data going in is:
> >
> >
> > <type 'tuple'> (0, 0.10000000000000001)
> >
> > <type 'tuple'> (0, 0.20000000000000001)
> >
> > <type 'tuple'> (0, 0.29999999999999999)
> >
> > <type 'tuple'> (1, 0.69999999999999996)
> >
> > <type 'tuple'> (1, 0.80000000000000004)
> >
> > <type 'tuple'> (1, 0.90000000000000002)
> >
> > <type 'tuple'> (0, 0.10000000000000001, 0, 0.080000000000000002)
> >
> >
> > so obviously this is cycling over the y-data, but then when it gets to the
> > dy column, it still includes the y-data (or the dy has just been added to
> > it).
> >
> >
> > Anyone any ideas?
> >
> > Do the dy values have to be assigned to the subcanvas individually?
> >
> >
> > Any help is much appreciated!
> >
> > Also, many thanks to Andre et al for a great piece of software!
> >
> >
> > Cheers,
> >
> > Dave.
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