On Fri, January 4, 2008 2:16 am, Mathew Yeates wrote:
> Hi
> Okay, here's a weird one. In Fortran you can specify the upper/lower
> bounds of an array
> e.g. REAL A(3:7)
>
> What would be the best way to translate this to a Numpy array? I would
> like to do something like
> A=numpy.zeros(shape=(5,)
Mathew Yeates wrote:
> Hi
> Okay, here's a weird one. In Fortran you can specify the upper/lower
> bounds of an array
> e.g. REAL A(3:7)
>
> What would be the best way to translate this to a Numpy array? I would
> like to do something like
> A=numpy.zeros(shape=(5,))
> and have the expression A[
On Thu, Jan 03, 2008 at 04:16:39PM -0800, Mathew Yeates wrote:
> Hi
> Okay, here's a weird one. In Fortran you can specify the upper/lower
> bounds of an array
> e.g. REAL A(3:7)
> What would be the best way to translate this to a Numpy array? I would
> like to do something like
> A=numpy.zeros(
On Jan 4, 2008 1:16 AM, Mathew Yeates <[EMAIL PROTECTED]> wrote:
> Hi
> Okay, here's a weird one. In Fortran you can specify the upper/lower
> bounds of an array
> e.g. REAL A(3:7)
>
> What would be the best way to translate this to a Numpy array? I would
> like to do something like
> A=numpy.zeros
Hi
Okay, here's a weird one. In Fortran you can specify the upper/lower
bounds of an array
e.g. REAL A(3:7)
What would be the best way to translate this to a Numpy array? I would
like to do something like
A=numpy.zeros(shape=(5,))
and have the expression A[3] actually return A[0].
Or something.
