Hello all, I often find myself writing the following code:
try:
features = np.asanyarray(features)
except:
features = np.asanyarray(features, dtype=object)
I basically want to be able to use fany indexing on features and, in most
cases, it will be a numpy floating point array. Otherwise, default to having it
be an array of dtype=object.
Is there a more elegant way to do it with numpy?
Thank you,
--
Luis Pedro Coelho | Carnegie Mellon University | http://luispedro.org
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