On 8/31/06, Tom Denniston <[EMAIL PROTECTED] > wrote:But i have hetergenious arrays that have numbers and strings and NoneType, etc.
Take for instance:
In [11]: numpy.array([numpy.array([1,'A', None]),
numpy.array([2,2,'Some string'])], dtype=object)
Out[11]:
array([[1, A, None],
[2, 2, Some string]], dtype=object)
In [12]: numpy.array([numpy.array([1,'A', None]),
numpy.array([2,2,'Some string'])], dtype=object).shape
Out[12]: (2, 3)
Works fine in Numeric and pre beta numpy but in beta numpy versions i get:Which makes good sense to me.
I think you want:
In [59]: a = array([array([1,'A', None],dtype=object),array([2,2,'Some string'],dtype=object)])
In [60]: a.shape
Out[60]: (2, 3)
OK, I changed my mind. I think you are right and this is a bug. Using svn revision 3098 I get
I n [2]: a = array([1,'A', None])
---------------------------------------------------------------------------
exceptions.TypeError Traceback (most recent call last)
/home/charris/<ipython console>
TypeError: expected a readable buffer object
In [3]: a = array([1,'A', None], dtype=object)
In [4]: a.shape
Out[4]: (3,)
Chuck
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