Thank you Josh, that is representative enough. In my system the
speedup of structured arrays is ~30x. A copy of the whole array is
still ~6x faster.
-á.
On Thu, Jun 28, 2012 at 10:13 PM, Josh Ayers wrote:
> import time
> import numpy as np
>
> dtype = np.format_parser(['i4', 'i4'], [], [])
> N
That is reason enough for me really. If someone really wants a recarray,
they could always convert an ndarray to this. I think it is still worth
asking the numpy list what the status is...
Be Well
Anthony
On Thu, Jun 28, 2012 at 4:13 PM, Josh Ayers wrote:
> There is a big difference in speed
There is a big difference in speed when iterating over the rows. Possibly
that was the reason structured arrays were chosen? The issue is mentioned
here: http://www.scipy.org/Cookbook/Recarray
In a simple test, I get a difference of about 15x, so it is significant.
Iterating over a recarray with
On Thu, Jun 28, 2012 at 3:23 PM, Francesc Alted wrote:
> Yes, I think it would make more sense to return a recarray too. However,
> I remember many time ago (3, 4 years?) that NumPy developers were
> recommending using structured arrays instead of recarrays. I don't
> remember exactly the argu
Yes, I think it would make more sense to return a recarray too.
However, I remember many time ago (3, 4 years?) that NumPy developers
were recommending using structured arrays instead of recarrays. I don't
remember exactly the arguments, but I think that was the reason why the
structured arra
Hmmm Ok. Maybe there needs to be a recarray flavor.
I kind of like just returning a normal ndarray, though I see your argument
for returning a recarray. Maybe some of the other devs can jump in here
with an opinion.
Be Well
Anthony
On Thu, Jun 28, 2012 at 12:37 PM, Alvaro Tejero Cantero wrote:
I just tested: passing an object of type numpy.core.records.recarray
to the constructor of createTable and then reading back it into memory
via slicing (h5f.root.myobj[:] ) returns to me a numpy.ndarray.
Best,
-á.
On Thu, Jun 28, 2012 at 5:30 PM, Anthony Scopatz wrote:
> Hi Alvaro,
>
> I think
Hi Alvaro,
I think if you save the table as a record array, it should return you a
record array. Or does it return a structured array? Have you tried this?
Be Well
Anthony
On Thu, Jun 28, 2012 at 11:22 AM, Alvaro Tejero Cantero wrote:
> Hi,
>
> I've noticed that tables are loaded in memory as
