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='
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 <[EMAIL PROTECTED]> wrote:
>
> hi all,
> I have an array like
> arra
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
> arr
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:
