On Thu, May 27, 2010 at 8:39 AM, Keith Goodman <kwgood...@gmail.com> wrote:
> To see if it is a number could you use something like: > > np.issubdtype(a.dtype, float) or np.issubdtype(a.dtype, int) or > np.issubdtype(a.dtype, complex) > > And for string: > > np.issubdtype(a.dtype, str) > These are valid but what I don't like is that I need to know the list of possible number types. Basically I don't like a test that fails because I didn't know about a dtype. For string It is ok, the universe of is either string or not string. Maybe this is as good as it gets. I guess my use case is that I want to be sure I can perform math on the values. So maybe I should just do someting like "numpy.lib._iotools._is_string_like" but "_is_number_like", Maybe there is such and I missed it. If not there should be. Vincent _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > *Vincent Davis 720-301-3003 * vinc...@vincentdavis.net my blog <http://vincentdavis.net> | LinkedIn<http://www.linkedin.com/in/vincentdavis>
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