Hi,
> I see that I have interpreted this thread as "Doctor, it hurts when I do
> this... Well, don't do that!" Sorry for the noise.
It's all good - a reply is almost always more friendly and helpful
than no reply ;)
See you,
Matthew
___
NumPy-Discus
On Tue, Sep 21, 2010 at 17:40, Pauli Virtanen wrote:
> Tue, 21 Sep 2010 17:28:08 -0500, Robert Kern wrote:
> [clip]
>>> *that* == return a complex number from .real
>>
>> What is the alternative? I'm personally happy with saying that many of
>> the operations we define on numpy arrays can be done
Tue, 21 Sep 2010 17:28:08 -0500, Robert Kern wrote:
[clip]
>> *that* == return a complex number from .real
>
> What is the alternative? I'm personally happy with saying that many of
> the operations we define on numpy arrays can be done because we know the
> types and that object arrays subvert th
Hi,
On Tue, Sep 21, 2010 at 3:28 PM, Robert Kern wrote:
> On Tue, Sep 21, 2010 at 17:17, Pauli Virtanen wrote:
>> Tue, 21 Sep 2010 21:50:08 +, Pauli Virtanen wrote:
>>
>>> Tue, 21 Sep 2010 17:31:55 -0400, Michael Gilbert wrote:
The following example demonstrates a rather unexpected resu
On Tue, Sep 21, 2010 at 17:17, Pauli Virtanen wrote:
> Tue, 21 Sep 2010 21:50:08 +, Pauli Virtanen wrote:
>
>> Tue, 21 Sep 2010 17:31:55 -0400, Michael Gilbert wrote:
>>> The following example demonstrates a rather unexpected result:
>>>
>> import numpy
>> x = numpy.array( complex( 1.0
On Tue, Sep 21, 2010 at 4:44 PM, Benjamin Root 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 ) , nump
Tue, 21 Sep 2010 21:50:08 +, Pauli Virtanen wrote:
> Tue, 21 Sep 2010 17:31:55 -0400, Michael Gilbert wrote:
>> 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)
> pri
Tue, 21 Sep 2010 17:31:55 -0400, Michael Gilbert wrote:
> 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 suc
Hi,
On Tue, Sep 21, 2010 at 2:44 PM, Benjamin Root wrote:
> On Tue, Sep 21, 2010 at 4:31 PM, Michael Gilbert
> wrote:
>>
>> Hi,
>>
>> The following example demonstrates a rather unexpected result:
>>
>> >>> import numpy
>> >>> x = numpy.array( complex( 1.0 , 1.0 ) , numpy.object )
>> >>> print x
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
>
> S
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?
Thanks,
Mike
___
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