How to convert 2D float numpy array to 2D int numpy array? How to convert 2D float numpy array to 2D int numpy array? python python

How to convert 2D float numpy array to 2D int numpy array?


Use the astype method.

>>> x = np.array([[1.0, 2.3], [1.3, 2.9]])>>> xarray([[ 1. ,  2.3],       [ 1.3,  2.9]])>>> x.astype(int)array([[1, 2],       [1, 2]])


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]])


you can use np.int_:

>>> x = np.array([[1.0, 2.3], [1.3, 2.9]])>>> xarray([[ 1. ,  2.3],       [ 1.3,  2.9]])>>> np.int_(x)array([[1, 2],       [1, 2]])


matomo