Series that used to be typed numeric is now typed 'object'

[craustin]

import numpy as np
from pandas import Series
s = Series(range(3))
s2 = s.map(lambda x: np.where(x == 0, 0, 1))
print s2.dtype

In pandas 0.6.0, this returned 'float64', but now it returns 'object'. This change requires us to explicitly specify some dtypes to pandas constructors as a workaround. If this is the desired behavior, we can live with it - but wanted to alert you guys.

[wesm]

Well, a good question is, why are you doing that instead of np.where(s == 0, 0, 1)? Vectorization is good :)

Fixed this in the above commit (np.where called with a scalar results in 0-dimensional arrays, so I inserted a hack to "unbox" the value inside). However I would expect the result to be integer and not float (the current behavior).

[craustin]

I would expect integer as well. Thanks, Wes. Yes, the vector solution is much better.