John Hunter wrote:
> On Fri, Jul 18, 2008 at 4:42 PM, Andrew Straw <[EMAIL PROTECTED]> wrote:
> 
>> If you're happy with that extra cost, I'll modify
>> axes.delete_masked_points() so that hexbin and scatter are automatically
>> filtered in this way. Given the speed complaints we sometimes get, I was
>> hesitant to add another pass through the data.

masks.extend([~np.isfinite(x) for x in args])

may be the quickest and most general way to do it.  I believe 
~np.isfinite is both more general and significantly faster than np.isnan.

A kwarg could be used to enable or disable this checking.

Eric


> 
> Happy is the wrong word -- we certainly should make these things as
> efficient as reasonable so if your optimization worked it would be
> preferable   numpy passes are rarely the bottleneck but they are good
> to be aware of.  We could provide some helper function in nxutils to
> do more stuff in a single pass for common use cases (eg a minmax
> function to get both the min and the max...)
> 
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