This has been discussed and the consensus was that getting the heuristics
right is probably impossible (I work with dark-current subtracted image
data so it can have negative values, but using a diverging color map is
_very_ wrong, taking 0 as the center only makes sense some of the time).
Defaulting to a linear norm and sequential color map is in the worst case
not helpful, where as using the wrong center (or incorrectly using a
diverging color map) can be misleading. We are prioritizing not being
misleading over being slightly more convenient in the core library.
A function with a call signature like you describe should definitely be in
the examples.
Also see PR https://github.com/matplotlib/matplotlib/pull/3858 which is
adding a new normalizer to make setting up non-symmetric diverging color
maps easier.
Tom
On Thu, Jul 2, 2015 at 11:49 AM George Nurser <gnur...@gmail.com> wrote:
> Hi,
> I've been following the discussions about the new default colormaps.
> I think it might be really helpful if the default behaviour were that
> matplotlib simply examined your data (Z, say), and if
> (1) Z.max() & Z.min() had the same sign then used a sequential colormap
> whereas if
> (2) Z.max() & Z.min() had opposite signs then it used a diverging
> colormap, centered on zero.
> Keywords e.g. Anomaly=True & centre = 10. could be extra arguments to
> override this behaviour.
>
> I realise that
> a) this really only requires a user to write a simple helper application.
> But 99% of users will never do this.
>
> b) it may not always be desired; but again 99% of the time it probably is.
>
> This would enable people just starting to use matplotlib perhaps to see
> that it can give 'better' plots than matlab
>
> Anyway, just a thought.
>
> George Nurser.
>
>
>
>
>
>
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