On Thu, Jul 17, 2008 at 2:35 PM, Ben Axelrod <[EMAIL PROTECTED]> wrote:
> It seems that axes.plot() handles 'None' values in the input arrays
> gracefully by just not plotting that point. But axes.scatter() bugs out.
> Can this be fixed?
We try to support np.nan and np masked arrays to handle missing data.
The fact that None works with plot is a fortuitous consequence of the
fact that numpy converts None->NaN on a coercion to float, but it is
not something we plan on trying to support explicitly. You can easily
write your own none_to_nan function
def none_to_nan(seq):
return np.asarray(seq, float)
and if nans are failing we'll treat it as a bug in mpl
JDH
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