[Numpy-discussion] Does numpy.bincount support numpy.float128 type weights?
sebastian at sipsolutions.net
Wed Nov 30 17:22:45 EST 2016
Fist off, a word of caution. float128 depends on your system and maps
to whatever longdouble is (IIRC) or may not even exist. So I hope you
don't expect IEEE 128 bit floats, if you are unsure, maybe check
If speed does not matter
res = np.zeros(np.max(b), dtype=np.longdouble)
np.add.at(res, b, a)
will work, but do not expect it to be fast.
On Do, 2016-12-01 at 05:54 +0800, Wei, Huayi wrote:
> Hi, There,
> Here is a sample code using `numpy.bincount`
> import numpy as np
> a = np.array([1.0, 2.0, 3.0], dtype=np.float128)
> b = np.array([1, 2, 0], dtype=np.int)
> c = np.bincount(b, weights=a)
> If run it, I get the following error report:
> ----> 1 c = np.bincount(b, weights=a)
> TypeError: Cannot cast array data from dtype('float128') to
> dtype('float64') according to the rule 'safe'
> Is it a bug of `np.bincount`? Does there exist any similar function
> which I can use to do the similar thing with numpy.float128 type
> NumPy-Discussion mailing list
> NumPy-Discussion at scipy.org
-------------- next part --------------
A non-text attachment was scrubbed...
Size: 819 bytes
Desc: This is a digitally signed message part
More information about the NumPy-Discussion