On 24/02/2021 22:03, Dan Stromberg wrote:
On Wed, Feb 24, 2021 at 12:58 PM Peter Otten <__pete...@web.de> wrote:
On 24/02/2021 20:36, Carla Molina wrote:
This is not a bug. Have a look at the array's dtype:
>>> n = 60461826
>>> a = np.array([1, 50, 100, 150, 200, 250, 300])
>>> a.dtype
dtype('int32')
I'm getting dtypes of float64.
When you run the snippet above or
import numpy as np
NR = 0.25
N = 60461826
initialINCIDENCE = np.array([1, 50, 100, 150, 200, 250, 300])
initialINCIDENCE = initialINCIDENCE*N/(100000*7*NR)
here, i. e. after the division?
initialINCIDENCE*N
should be an int32 array, but dividing by
(100000*7*NR)
returns an dtype=float64 array. Switching back to my modified example:
>>> a/42
array([0.02380952, 1.19047619, 2.38095238, 3.57142857, 4.76190476,
5.95238095, 7.14285714])
>>> _.dtype
dtype('float64')
--
https://mail.python.org/mailman/listinfo/python-list
