[matplotlib-devel] Re: scipy core update

Eric Firing wrote:

I replied privately to Eric by mistake.

> John, Travis,
> 
> Now I find a genuine difference between scipy and num* that is causing a 
> problem:  for a masked array, say "A", A.mask is a property in scipy but 
> a function in num*.  I can work around it, but it seems like an anomaly 
> in scipy.  What it means is that in matplotlib we can't use A.mask or 
> A.mask(), but must instead use the ma.getmask() function.

Paul is the author of masked arrays.  He implemented the new behavior. 
I think mask as a property/attribute is right.

> 
> 
> Here is another anomaly that I needed to work around:
> 
>  >>> bb = scipy.array([1.1,2,2,3.3])
>  >>> 1.1 in bb
> Traceback (most recent call last):
>   File "<stdin>", line 1, in ?
> ValueError: The truth value of an array with more than one element is 
> ambiguous. Use a.any() or a.all()
>  >>> import numarray
>  >>> nn = numarray.array([1.1,2.2,3.3])
>  >>> 1.1 in nn
> True

This is a bug in scipy core that has been fixed for several weeks.  It 
came about as an unintentional side-effect of raising an error for 
truth-testing of arrays.

Notice:


 >>> 1.1 in scipy.array([1.1,2.2,3.3])
True

-Travis