Sebastian Berg sipsolutions.net> writes:
>
> On Mo, 2015-03-16 at 15:53 +, Dave Hirschfeld wrote:
> > I have a number of large arrays for which I want to compute the mean
and
> > standard deviation over a particular axis - e.g. I want to compute
the
> > statistics for axis=1 as if the ot
On Mon, Mar 16, 2015 at 11:53 AM, Dave Hirschfeld wrote:
> I have a number of large arrays for which I want to compute the mean and
> standard deviation over a particular axis - e.g. I want to compute the
> statistics for axis=1 as if the other axes were combined so that in the
> example below I
On Mo, 2015-03-16 at 15:53 +, Dave Hirschfeld wrote:
> I have a number of large arrays for which I want to compute the mean and
> standard deviation over a particular axis - e.g. I want to compute the
> statistics for axis=1 as if the other axes were combined so that in the
> example below I
On 16 March 2015 at 15:53, Dave Hirschfeld wrote:
> I have a number of large arrays for which I want to compute the mean and
> standard deviation over a particular axis - e.g. I want to compute the
> statistics for axis=1 as if the other axes were combined so that in the
> example below I get two
I have a number of large arrays for which I want to compute the mean and
standard deviation over a particular axis - e.g. I want to compute the
statistics for axis=1 as if the other axes were combined so that in the
example below I get two values back
In [1]: a = randn(30, 2, 1)
For the me