Hi,
On Tue, Sep 21, 2010 at 2:44 PM, Benjamin Root <ben.r...@ou.edu> wrote:
> On Tue, Sep 21, 2010 at 4:31 PM, Michael Gilbert
> <michael.s.gilb...@gmail.com> wrote:
>>
>> Hi,
>>
>> The following example demonstrates a rather unexpected result:
>>
>> >>> import numpy
>> >>> x = numpy.array( complex( 1.0 , 1.0 ) , numpy.object )
>> >>> print x.real
>> (1+1j)
>> >>> print x.imag
>> 0
>>
>> Shouldn't real and imag return an error in such a situation?
It looks like there was a decision to let 'real' and 'imag' pass
quietly for non-numerical types:
In [2]: a = np.array('hello', dtype=object)
In [3]: a.real
Out[3]: array('hello', dtype=object)
In [4]: a.imag
Out[4]: array(0, dtype=object)
and
In [6]: a = np.array('hello', dtype='S5')
In [7]: a.real
Out[7]:
array('hello',
dtype='|S5')
In [8]: a.imag
Out[8]:
array('',
dtype='|S5')
I can see that that could be confusing. I suppose the alternative
would be to raise an error for real and imag for non-numerical types
at least.
Best,
Matthew
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