hi all, I have an array like array([ 1., 0., 2., -10.]) what is most efficient (i.e. fastest) way to convert the one to array of integers? array([ 1, 0, 2, -10])
Thx in advance, D.
I usually use the astype method.
import numpy as n a = n.array([1.,0.,2.,-10.]) a.dtype
dtype('float64')
print a
[ 1. 0. 2. -10.]
b = a.astype(n.integer) b.dtype
dtype('int32')
print b
[ 1 0 2 -10]
dmitrey wrote:
hi all, I have an array like array([ 1., 0., 2., -10.]) what is most efficient (i.e. fastest) way to convert the one to array of integers? array([ 1, 0, 2, -10])
Thx in advance, D. _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
what about astype?
a.astype(t) -> Copy of array cast to type t.
Cast array m to type t. t can be either a string representing a typecode, or a python type object of type int, float, or complex.
L.
On 10/5/07, dmitrey dmitrey.kroshko@scipy.org wrote:
hi all, I have an array like array([ 1., 0., 2., -10.]) what is most efficient (i.e. fastest) way to convert the one to array of integers? array([ 1, 0, 2, -10])
Thx in advance, D. _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
On Fri, 05 Oct 2007, dmitrey wrote:
I have an array like array([ 1., 0., 2., -10.]) what is most efficient (i.e. fastest) way to convert the one to array of integers? array([ 1, 0, 2, -10])
Use ``astype``.
Cheers, Alan Isaac
import numpy as N x = N.array([1,2,3],dtype='float') x
array([ 1., 2., 3.])
x.astype('int')
array([1, 2, 3])
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Alan Isaac -
Christopher Hanley -
dmitrey -
lorenzo bolla