On Thu, May 27, 2010 at 11:40, Vincent Davis <vinc...@vincentdavis.net> wrote: > > 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.
The dtypes have a hierarchy. In [2]: np.issubdtype(float, np.number) Out[2]: True In [3]: np.issubdtype(str, np.number) Out[3]: False -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
