June 21, 2013
1:09 p.m.
t = Time360(2013, 6, 29) np.array([t]).dtype
np.array([t]).dtype
Hi all, In my continuing adventures in the Land of Custom Dtypes I've come across some rather disappointing behaviour in 1.7 & 1.8. I've defined my own class `Time360`, and a corresponding dtype `time360` which references Time360 as its scalar type. Now with 1.6.2 I can do: dtype('Time360') And since all the instances supplied to the function were instances of the scalar type for my dtype, numpy automatically created an array using my dtype. Happy days! But in 1.7 and 1.8 I get: dtype('O') So now I just get a plain old object array. Boo! Hiss! Is this expected? Desirable? An unwanted regression? Richard