For the archive, I tried to use bitarray instead of bitstring and for
same file parsing went from 180ms to 60ms. Code was finally shorter and
more simple but less easy to jump into (documentation).
Performance is still far from using fromstring or fromfile which gives
like 5ms for similar size of
Hi,
I am developping a code to read binary files (MDF, Measurement Data File).
In its previous version 3, data was always byte aligned. I used widely
numpy.core.records module (fromstring, fromfile) showing good
performance to read and unpack data on the fly.
However, in the latest version 4, not
On Sat, Apr 2, 2011 at 11:39 AM, Mark Wiebe wrote:
> I've committed the patch adding 'e' to the buffer protocol and back-ported
> it to the 1.6.x branch.
Awesome! Thanks a bunch. :)
> This leaves the testing with Cython and getting
> consensus from CPython about the letter to use in the struct
On Fri, Apr 1, 2011 at 5:28 PM, Mark Wiebe wrote:
> Your changes look fine to me, and I think the tests are reasonable as is. I
> would suggest tidying up your commit messages a bit, creating an enhancement
> bug in the bug tracker, and making a pull request. Some info about the pull
> requests is
On Thu, Mar 31, 2011 at 11:45 AM, Ralf Gommers
wrote:
> On Thu, Mar 31, 2011 at 8:37 PM, Eli Stevens (Gmail)
> wrote:
>> Next up for me is to get a patch onto the CPython issue tracker, but
>> as soon as I have that done, I'll start working on adding unit tests
>> to
On Thu, Mar 31, 2011 at 10:40 AM, Ralf Gommers
wrote:
> It would definitely need to get into beta 2, and even then I'm a
> little hesitant to push in such a change at the last moment.
If I miss the 1.6.0b2 cutoff, would a change like this be appropriate
for 1.6.1, or will it need to wait until 1.
On Fri, Mar 25, 2011 at 10:00 AM, Eli Stevens (Gmail)
wrote:
> Can anyone please give me some suggestions on how to go about writing
> a unit test for this? Or should I just submit a pull request?
I've gotten a bit of positive feedback to adding the 'e' type to the
struct
On Fri, Mar 25, 2011 at 11:14 AM, Eli Stevens (Gmail)
wrote:
> On Fri, Mar 25, 2011 at 10:35 AM, Mark Wiebe wrote:
>> That said, I think starting a discussion with the Python core developers
>> about the float16 type is worthwhile. There might be interest in supporting
>> th
On Fri, Mar 25, 2011 at 10:35 AM, Mark Wiebe wrote:
> That said, I think starting a discussion with the Python core developers
> about the float16 type is worthwhile. There might be interest in supporting
> the float16 type in the struct interface, something that would be required
> as part of ame
On Fri, Mar 25, 2011 at 10:21 AM, Pauli Virtanen wrote:
> The buffer interface cannot be used to export the half-float types, since
> the type is not specified in PEP 3118. Numpy cannot unilaterally add
> nonstandard format codes to the spec.
>
> What can be done instead is exporting the half-floa
I'm working on getting support for 16-bit floats into cython and have
run into what seems like a numpy bug (I'm a new contributor to both
projects, so bear with me ;).
https://github.com/wickedgrey/numpy/commit/29f9f1b709cc2c346b8514859c58a761df80f031
Adding NPY_HALF to the switch statement on li
On Tue, Feb 22, 2011 at 1:48 PM, Gael Varoquaux
wrote:
> Probably because the numpy binary that the author was using was compiled
> without a blas implementation, and just using numpy's internal
> lapack_lite. This is a common problem in real life.
Is there an easy way to check from within numpy
on of Numerical Python
Subject: Re: [Numpy-discussion] Is there a function to calculate ecnomic
beta coefficient in numpy given two time series data.
On Thu, Jun 19, 2008 at 17:48, Vineet Jain (gmail) <[EMAIL PROTECTED]>
wrote:
> I took the following code and applied it to aapl and ti
should be closer to 2.
Any idea on what I'm doing wrong.
Vineet
-Original Message-
From: Vineet Jain (gmail) [mailto:[EMAIL PROTECTED]
Sent: Wednesday, June 04, 2008 9:24 PM
To: 'Discussion of Numerical Python'
Subject: RE: [Numpy-discussion] Is there a function to calcula
Currently my code handles market returns and stocks as 1d arrays. While the
function below expects a matrix. Is there an equivalent of the function
below which works with numpy arrays?
I'd like to do:
beta, resids, rank, s = mp.linalg.lstsq(mrkt_1d_array, stock_1d_array)
If not, how do:
1. crea
two time series data.
On Wed, Jun 4, 2008 at 5:39 PM, Vineet Jain (gmail) <[EMAIL PROTECTED]>
wrote:
> Timeseries1 = daily or weekly close of stock a
>
> Timeseries2 = daily or weekly close of market index (spx, , etc)
>
>
>
> Beta of stock a is what I would like to c
Timeseries1 = daily or weekly close of stock a
Timeseries2 = daily or weekly close of market index (spx, , etc)
Beta of stock a is what I would like to compute as explained in this article
on Wikipedia:
http://en.wikipedia.org/wiki/Beta_coefficient
I'm trying to compute the beta o
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