Thanks, both, I knew there had to be a better way. :-)
DG
On Mon, Feb 22, 2010 at 7:58 PM, Warren Weckesser <
warren.weckes...@enthought.com> wrote:
> Here's another way, using 'astype':
>
> In [1]: import numpy as np
>
> In [2]: x = np.array([1.0, 2.0, 3.0])
>
> In [3]: y = x.astype(int)
>
> In
Here's another way, using 'astype':
In [1]: import numpy as np
In [2]: x = np.array([1.0, 2.0, 3.0])
In [3]: y = x.astype(int)
In [4]: y
Out[4]: array([1, 2, 3])
Warren
David Goldsmith wrote:
> Hi! Is there a less cumbersome way (e.g., one that has a "cast-like"
> syntax and/or leverages
On Mon, Feb 22, 2010 at 21:56, David Goldsmith wrote:
> Hi! Is there a less cumbersome way (e.g., one that has a "cast-like" syntax
> and/or leverages broadcasting) than what follows to convert an array of
> floats to an array of ints? Here's what works:
>
import numpy as N
t = N.array
Hi! Is there a less cumbersome way (e.g., one that has a "cast-like" syntax
and/or leverages broadcasting) than what follows to convert an array of
floats to an array of ints? Here's what works:
>>> import numpy as N
>>> t = N.array([0.0, 1.0]); t.dtype
dtype('float64')
>>> t = N.array(t, dtype=
