How to convert 2D float numpy array to 2D int numpy array?
Some numpy functions for how to control the rounding: rint, floor,trunc, ceil. depending how u wish to round the floats, up, down, or to the nearest int.
>>> x = np.array([[1.0,2.3],[1.3,2.9]])>>> xarray([[ 1. , 2.3], [ 1.3, 2.9]])>>> y = np.trunc(x)>>> yarray([[ 1., 2.], [ 1., 2.]])>>> z = np.ceil(x)>>> zarray([[ 1., 3.], [ 2., 3.]])>>> t = np.floor(x)>>> tarray([[ 1., 2.], [ 1., 2.]])>>> a = np.rint(x)>>> aarray([[ 1., 2.], [ 1., 3.]])To make one of this in to int, or one of the other types in numpy, astype (as answered by BrenBern):
a.astype(int)array([[1, 2], [1, 3]])>>> y.astype(int)array([[1, 2], [1, 2]])