Hello everyone,
thank you for the replies.
Sebastian, the chunk size is roughly 4*10^6 samples, with two byte per
sample, this is about 8MB. I can vary this size, but increasing it only
helps for much smaller values. For example, when I use a size of 100
Samples, I am much too slow. It gets be
Thomas Breuel wrote:
> Hi,
>
> core NumPy doesn't seem to support a lot of output arguments, or common
> composite operations. For example, a common operation is something like
>
> a = outer(b,c)
>
> or
>
> a += outer(b,c)
>
> There are some workarounds, but they aren't pretty. Consistently
Hi,
core NumPy doesn't seem to support a lot of output arguments, or common
composite operations. For example, a common operation is something like
a = outer(b,c)
or
a += outer(b,c)
There are some workarounds, but they aren't pretty. Consistently providing
output arguments throughout NumPy
2007/7/23, Les Schaffer <[EMAIL PROTECTED]>:
Robert Kern wrote:
> We'll need a volunteer release manager for that, or it won't happen.
Most of the
> principals are very busy right now.
will it compile with Visual C++ 2005 Express? if so, i'd give it a try.
Windows binaries must be compiled w
On 7/23/07, Lars Friedrich <[EMAIL PROTECTED]> wrote:
Hello everyone,
I am using array.tofile successfully for a data-acqusition-streaming
application. I mean that I do the following:
for a long time:
temp = dataAcquisisionDevice.getData()
temp.tofile(myDataFile)
temp is a num
Robert Kern wrote:
> We'll need a volunteer release manager for that, or it won't happen. Most of
> the
> principals are very busy right now.
will it compile with Visual C++ 2005 Express? if so, i'd give it a try.
Les Schaffer
___
Numpy-discussion mail
Steven H. Rogers wrote:
> I don't know of any simple build instructions for Windows, but if you're
> patient, there will probably be updated packaged releases of SciPy +
> NumPy that play well together "real soon now".
We'll need a volunteer release manager for that, or it won't happen. Most o
I am a relatively new numpy user, so sorry for the relatively simple
questions. I hope someone can help clarify a couple of things for me.
1) What is the difference between recarrays and arrays created using
N.rec.array? If they are different, why use one over the other?
2) How can I add col
Tim Mortimer wrote:
> Anyway, I wanted to "beef up" my python arsenal with some of the SciPY
> stuff - initially a wider & more solid range of random number
> generators, histograms & statistical packages etc.
>
> So it is with some regret that i see at present that it is not possible
> to build
Hi Tim
On Mon, Jul 23, 2007 at 08:20:24PM +0930, Tim Mortimer wrote:
> I am not an experienced programmer, so the idea of building NumPy from
> the "bleeding edge" repository is beyond my capability, as there appears
> to be no specific instructions for how to do this (that don't assume you
> h
Hello There,
I'm pretty new to Python, picking it up recently in order to begin to
experiment with Csound / Python interconnectivity (generating scores,
GUI elements, using Vpython to model mechanical "systems"... that sort
of thing...)
Have so far written about 500 lines of Python code (over
Vincent Nijs (el 2007-07-22 a les 10:21:18 -0500) va dir::
> [...]
> I would assume the NULL's could be treated as missing values (?) Don't know
> about the different types in one column however.
Maybe a masked array would do the trick, with NULL values masked out.
::
Ivan Vilata i Bala
Just a guess out of my hat:
there might be a buffer class in the standard python library... I'm
thinking of a class that implements file-I/O and collects input up to
a maximum buffer size before it copies the same byte stream to it's
output. Since I/O is more efficient if larger chunks are written
Hello everyone,
I am using array.tofile successfully for a data-acqusition-streaming
application. I mean that I do the following:
for a long time:
temp = dataAcquisisionDevice.getData()
temp.tofile(myDataFile)
temp is a numpy array that is used for storing the data temporarily.
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