Actually,
I do use spec when I have synchotron experiments. But why are your files so
large?
On Nov 16, 2010 9:20 AM, "Darren Dale" wrote:
> I am wrapping up a small package to parse a particular ascii-encoded
> file format generated by a program we use heavily here at the lab. (In
> the unlikely
I am wrapping up a small package to parse a particular ascii-encoded
file format generated by a program we use heavily here at the lab. (In
the unlikely event that you work at a synchrotron, and use Certified
Scientific's "spec" program, and are actually interested, the code is
currently available
Apologies, I accidentally hit send...
On Tue, Nov 16, 2010 at 9:20 AM, Darren Dale wrote:
> I am wrapping up a small package to parse a particular ascii-encoded
> file format generated by a program we use heavily here at the lab. (In
> the unlikely event that you work at a synchrotron, and use Ce
Tue, 16 Nov 2010 09:20:29 -0500, Darren Dale wrote:
[clip]
> module. So I am wondering about the performance of np.fromstring:
Fromstring is slow, probably because it must work around locale-
dependence of the underlying C parsing functions. Moreover, the Numpy
parsing mechanism generates many in
Tue, 16 Nov 2010 09:41:04 -0500, Darren Dale wrote:
[clip]
> That loop takes 0.33 seconds to execute, which is a good start. I need
> some help converting this example to return an actual numpy array. Could
> anyone please offer a suggestion?
Easiest way is probably to use ndarray buffers and resi
On Tue, Nov 16, 2010 at 10:31 AM, Darren Dale wrote:
> On Tue, Nov 16, 2010 at 9:55 AM, Pauli Virtanen wrote:
>> Tue, 16 Nov 2010 09:41:04 -0500, Darren Dale wrote:
>> [clip]
>>> That loop takes 0.33 seconds to execute, which is a good start. I need
>>> some help converting this example to return
Sorry, I accidentally hit send long before I was finished writing. But
to answer your question, they contain many 2048-element multi-channel
analyzer spectra.
Darren
On Tue, Nov 16, 2010 at 9:26 AM, william ratcliff
wrote:
> Actually,
> I do use spec when I have synchotron experiments. But why
On 11/16/10 10:01 AM, Christopher Barker wrote:
OK -- I'll whip up a test similar to yours -- stay tuned!
Here's what I've done:
import numpy as np
from maproomlib.utility import file_scanner
def gen_file():
f = file('test.dat', 'w')
for i in range(1200):
f.write('1 ' * 2048)
On 11/16/10 8:57 AM, Darren Dale wrote:
> In my case, I am making an assumption about the integrity of the file.
That does make things easier, but less universal. I guess this is the
whole trade-off about "reusable code". It sure it a lot easier to write
code that does the one thing you need tha
On Tue, Nov 16, 2010 at 11:46 AM, Christopher Barker
wrote:
> On 11/16/10 7:31 AM, Darren Dale wrote:
>> On Tue, Nov 16, 2010 at 9:55 AM, Pauli Virtanen wrote:
>>> Tue, 16 Nov 2010 09:41:04 -0500, Darren Dale wrote:
>>> [clip]
That loop takes 0.33 seconds to execute, which is a good start. I
On 11/16/10 7:31 AM, Darren Dale wrote:
> On Tue, Nov 16, 2010 at 9:55 AM, Pauli Virtanen wrote:
>> Tue, 16 Nov 2010 09:41:04 -0500, Darren Dale wrote:
>> [clip]
>>> That loop takes 0.33 seconds to execute, which is a good start. I need
>>> some help converting this example to return an actual num
On Tue, Nov 16, 2010 at 9:55 AM, Pauli Virtanen wrote:
> Tue, 16 Nov 2010 09:41:04 -0500, Darren Dale wrote:
> [clip]
>> That loop takes 0.33 seconds to execute, which is a good start. I need
>> some help converting this example to return an actual numpy array. Could
>> anyone please offer a sugge
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