Francesc Altet wrote:
> Hello,
>
> Sorry for being insistent, but I recognize that I'm having a bad time
> with NumPy data type rational. Is there an explanation for this?:
>
>
>>>> numpy.dtype('i4').type
>>>>
> <type 'numpy.int32'>
>
>>>> numpy.dtype('int32').type
>>>>
> <type 'numpy.int32'>
>
>>>> numpy.dtype('i4').type == numpy.dtype('int32').type
>>>>
> True
>
> So far so good, but is the next the intended behaviour?
>
>
>>>> numpy.typeDict['i4']
>>>>
> <type 'numpy.int32'>
>
>>>> numpy.typeDict['int32']
>>>>
> <type 'numpy.int32'>
>
>>>> numpy.typeDict['i4'] == numpy.typeDict['int32']
>>>>
No, this isn't correct behavior. This time you've caught an actual
problem :-)
The typeDict (actually the sctypeDict --- scalar-type-dictionary returns
a scalar type given a string not a data-type object) is only used if no
other conversion can be found for the object. It used to be much more
useful before the data-type objects were formalized last year.
-Travis
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