Re: [Numpy-discussion] float64 / int comparison different from float / int comparison

On Mon, Oct 31, 2011 at 6:25 PM, Matthew Brett <matthew.brett@gmail.com> wrote:

Oh, dear, I'm suffering now:

In [11]: res = np.array((2**31,), dtype=np.float32)

In [12]: res > 2**31-1 Out[12]: array([False], dtype=bool)

OK - that's what I was expecting from the above, but now:

In [13]: res[0] > 2**31-1 Out[13]: True

In [14]: res[0].dtype Out[14]: dtype('float32')

I'm seeing: In [7]: res = np.array((2**31,), dtype=np.float32) In [9]: res > (2**31-1) Out[9]: array([ True], dtype=bool) In [10]: res[0] Out[10]: 2.1474836e+09 In [11]: res[0] > (2**31-1) Out[11]: True Your result seems very strange, because the numpy scalars should perform exactly the same inside and outside an array. Stéfan