For sum, x.sum() should be the sum of the entire array, no? And that implies a default of None, doesn't it? So a default of zero or one would be wrong.
Oh well, back to my nap.
On 28 Aug 2006 22:26:54 -0700, PGM <[EMAIL PROTECTED]> wrote:
Folks,
I keep running into the following problem since some recent update (I'm
currently running 1.0b3, but the problem occurred roughly around 0.9.8):
>>> import numpy.core.ma as MA
>>> x=MA.array([[1],[2]],mask=False)
>>> x.sum(None)
/usr/lib64/python2.4/site-packages/numpy/core/ma.py in reduce(self, target,
axis, dtype)
393 m.shape = (1,)
394 if m is nomask:
--> 395 return masked_array (self.f.reduce (t, axis))
396 else:
397 t = masked_array (t, m)
TypeError: an integer is required
#................................
Note that x.sum(0) and x.sum(1) work fine. I know some consensus seems to be
lacking with MA, but still, I can't see why axis=None is not recognized.
Corollary: with masked array, the default axis for sum is 0, when it's None
for regular arrays. Is there a reason for this inconsistency ?
Thanks a lot
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