You want to call "set_yscale('symlog')" on the axes.
Mike
On 08/19/2011 01:07 PM, Jonny Milliken wrote:
> 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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