Ondrej Certik wrote:
> On Jan 1, 2008 1:48 PM, Ondrej Certik <[EMAIL PROTECTED]> wrote:
>
>> On Jan 1, 2008 9:11 AM, Pearu Peterson <[EMAIL PROTECTED]> wrote:
>>
>>>
>>> On Jan 1, 12:26 am, Alan Bromborsky <[EMAIL PROTECTED]> wrote:
>>>
>>>> Do we have a problem here?
>>>> Can we make a numpy array of sympy symbols?
>>>>
>>>> >>> import swiginac
>>>> >>> import numpy
>>>> >>> a = swiginac.symbol('AB')
>>>> >>> a
>>>> AB
>>>> >>> A = numpy.array([a])
>>>> >>> A
>>>> array([AB], dtype=object)
>>>> >>> import sympy
>>>> >>> a = sympy.Symbol('AB')
>>>> >>> a
>>>> AB
>>>> >>> A = numpy.array([a])
>>>> >>> A
>>>> array([], shape=(1, 0), dtype=float64)
>>>>
>>> This is because all sympy objects are iterable.
>>> You'll need to use dtype=numpy.object option for now.
>>> sympy should implement __array__ method to
>>> Basic classes.
>>>
>> Thanks for the answer. If we implement "__array__",
>> it will start working with numpy? Yes, let's do that.
>>
>> http://code.google.com/p/sympy/issues/detail?id=532
>>
>
> In SymPy hg now:
>
> In [1]: import numpy
>
> In [2]: import sympy
>
> In [3]: a = sympy.Symbol('AB')
>
> In [4]: A = numpy.array([a])
>
> In [5]: A
> Out[5]: array([AB], dtype=object)
>
> Is this what you wanted?
>
> Ondrej
>
> >
>
>
Will it work if
a = sympy.Rational(1,2)
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