It sounds like that the data types are not supported by the variable
explorer (hence the "exclude unsupported data types" option). Although I
can't confirm for sure, this seems to me a feature request and not a bug.
Not all data types are currently supported by the variable explorer. You can
see that the "numpy.ndarray" and "numpy.int32" are supported, but the others
(e.g. 'numpy.int16') are not.

See also issue 677: http://code.google.com/p/spyderlib/issues/detail?id=677.
You could post your findings there or open a new issue and title it as a
feature request to support more numpy data types.

Best regards,
David

On 30 September 2011 01:02, RX <[email protected]> wrote:

> Hello,
>
> As an update of my post yesterday, here's what I believe to be a real
> bug in Variable Explorer:
>
> Certain numpy scalar variables would not show up in the list; for
> example,
>    >>> a = np.int8(9)
>    >>> b = np.int16(9)
>    >>> c = np.int32(9)
>    >>> d = np.int32(9).astype(bool)
>    >>> f = np.int32([9]).astype(bool)
>
> Among the 5 variable above, only c and f would be displayed properly;
> a,b, and d would be mysteriously hidden unless you uncheck "exclude
> unsupported data types".
>
> I'm using Spyder v.2.0.12, win64, Python 2.7 .
>
> Regards,
> Ruq
>
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