I would go with scikits.audiolab to get you wav data into numpy arrays,
as David mentioned. I use it all the time for bioacoustic research and
it is great (unfortunately still in beta, but works well in practice).
Reading sound data of 5 seconds @ 32000 Hz and finding/measuring your
tones fast
- Should we have a separate User manual and a Reference manual, or only
a single manual?
Are there still plans to write a 10 page 'Getting started with NumPy'
document? I think this would be very useful. Ideally a 'getting started'
document, the docstrings, and a reference manual is all the
Mon, 25 Aug 2008 11:18:52 +, Pauli Virtanen wrote:
[clip]
https://code.launchpad.net/~pauli-virtanen/scipy/numpy-refguide
https://code.launchpad.net/~stefanv/scipy/numpy-refguide
For coordination: I'm starting to add and Sphinxify relevant C-API
reference documentation parts
...are they down?
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That's great news -- thank you very much
William
Stéfan van der Walt wrote:
2008/8/21 William Reade [EMAIL PROTECTED]:
Line 532 of numerictypes.py reads _unicodesize =
array('u','U1').itemsize, but _unicodesize itself does not appear to be
referenced anywhere else. My questions are:
On Tue, Aug 26, 2008 at 6:52 AM, SimonPalmer [EMAIL PROTECTED] wrote:
...are they down?
They are back up now.
--
Jarrod Millman
Computational Infrastructure for Research Labs
10 Giannini Hall, UC Berkeley
phone: 510.643.4014
http://cirl.berkeley.edu/
Tue, 26 Aug 2008 11:24:24 +, Pauli Virtanen wrote:
[clip]
For coordination: I'm starting to add and Sphinxify relevant C-API
reference documentation parts from Travis's book [1]
(numpy/doc/numpybook/ capi.lyx) to the above reference manual.
Ok, one Sphinxified capi.lyx is here: [1], using
Apologies in advance if this is an obvious answer, but I'm new to most of
this.
My overall goal is to produce a contour plot of some irregular time series
data.
I've imported the data from mySQL into three arrays x,y,and z where x is an
array of datetime.timedelta objects.
I need an array of
Here's the interesting part:
creating build/temp.linux-x86_64-2.4/build/src.linux-x86_64-2.4/numpy/core/src
compile
options: '-Ibuild/src.linux-x86_64-2.4/numpy/core/src -Inumpy/core/include
-Ibuild/src.linux-x86_64-2.4/numpy/core/include/numpy -Inumpy/core/src
On Tue, Aug 26, 2008 at 11:23 AM, Ryan Neve [EMAIL PROTECTED] wrote:
Apologies in advance if this is an obvious answer, but I'm new to most of
this.
My overall goal is to produce a contour plot of some irregular time series
data.
I've imported the data from mySQL into three arrays x,y,and z
On Tue, Aug 26, 2008 at 11:47 AM, Keith Goodman [EMAIL PROTECTED] wrote:
On Tue, Aug 26, 2008 at 11:23 AM, Ryan Neve [EMAIL PROTECTED] wrote:
Apologies in advance if this is an obvious answer, but I'm new to most of
this.
My overall goal is to produce a contour plot of some irregular time
Howdy,
building numpy from trunk right now (r5708) on a 32-bit ubuntu box gives:
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2
-Wall -Wstrict-prototypes -fPIC
creating build/temp.linux-i686-2.5/build
creating
On Tue, Aug 26, 2008 at 6:23 PM, Fernando Perez [EMAIL PROTECTED]wrote:
Howdy,
building numpy from trunk right now (r5708) on a 32-bit ubuntu box gives:
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2
-Wall -Wstrict-prototypes -fPIC
creating
On Tue, Aug 26, 2008 at 19:41, Charles R Harris
[EMAIL PROTECTED] wrote:
I've been thinking of reverting the changes rather than waiting for David to
get back.
Go ahead.
--
Robert Kern
I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our
On Tuesday 26 August 2008 20:41:44 Charles R Harris wrote:
I've been thinking of reverting the changes rather than waiting for David
to get back.
As mentioned in a previous email, that fails on x86_64 AMD as well, same
place. Commenting out `trunc` in umathmodule.c.src does the trick.
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