Hi,
I am having some trouble establishing how to use
matplotlib.scale.SymmetricalLogScale() to draw a log scale on the positive
and negative axis of a plot. Assuming of course that is the correct way to
go about it
The code at the moment I am looking at goes something like this, with
arbitrary data generated. I need SubplotHost for parasite axis later on.
<><><>
import matplotlib
import pylab
import numpy
from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
fig = pylab.figure(1)
main = SubplotHost(fig,111)
fig.add_subplot(main)
x,y = []
for i in range(100):
y.append(numpy.random.rand())
y.append(-numpy.random.rand())
y.append(numpy.random.rand() * 100)
y.append(-numpy.random.rand() * 100)
x = range(len(y))
main.plot(x,y)
<><><>
At this point I was expecting to be able to run with SymmetricalLogScale in
the same way main.set_yscale('log') transforms after the plot but could not
work out how to transform it other than:
<><><>
main.yaxis = matplotlib.scale.SymmetricalLogScale(main.yaxis)
<><><>
But that obviously didnt work, since SymmetricalLogScale doesnt have
get_scale
If anyone could shed some light on the way to invoke this I'd be much
obliged!? I havent been able to find an example of it's usage anywhere
Cheers
Jonny
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