Re: [Numpy-discussion] The date/time dtype and the casting issue

Pierre GM (el 2008-07-29 a les 15:47:52 -0400) va dir:: On Tuesday 29 July 2008 15:14:13 Ivan Vilata i Balaguer wrote: Pierre GM (el 2008-07-29 a les 12:38:19 -0400) va dir:: Relative time versus relative time -- This case would be the same than

Re: [Numpy-discussion] The date/time dtype and the casting issue

beyond the scope of the project being discussed. However, since yours isn't necessarily a time-related proposal, you may ask what people think of it in a separate thread. :: Ivan Vilata i Balaguer @ Intellectual Monopoly hinders Innovation! @ http://www.selidor.net/ @ http

Re: [Numpy-discussion] The date/time dtype and the casting issue

to hardware, and patching that in all cases would make computations quite slower. Using floating point values doesn't look like an option anymore, since they don't have a fixed precision given a time unit. Cheers, :: Ivan Vilata i Balaguer @ Intellectual Monopoly hinders Innovation! @ http

Re: [Numpy-discussion] The date/time dtype and the casting issue

looks so far away that I'm not sure to adopt the method. Thanks for the insights. Cheers, :: Ivan Vilata i Balaguer @ Intellectual Monopoly hinders Innovation! @ http://www.selidor.net/ @ http://www.nosoftwarepatents.com/ @ signature.asc Description: Digital signature

Re: [Numpy-discussion] RFC: A (second) proposal for implementing some date/time types in NumPy

! A (second) proposal for implementing some date/time types in NumPy :Author: Francesc Alted i Abad :Contact: [EMAIL PROTECTED] :Author: Ivan Vilata i Balaguer :Contact: [EMAIL PROTECTED] :Date: 2008-07-18 Executive

Re: [Numpy-discussion] Loading a GB file into array

Ivan Vilata i Balaguer (el 2007-11-30 a les 19:19:38 +0100) va dir:: Well, one thing you could do is dump your data into a PyTables_ ``CArray`` dataset, which you may afterwards access as if its was a NumPy array to get slices which are actually NumPy arrays. PyTables datasets have

Re: [Numpy-discussion] Loading a GB file into array

://www.pytables.org/ HTH, :: Ivan Vilata i Balaguer qo http://www.carabos.com/ Cárabos Coop. V. V V Enjoy Data signature.asc Description: Digital signature ___ Numpy-discussion mailing list

[Numpy-discussion] ANN: PyTables PyTables Pro 2.0.2 are out!

simply would not exist. Share your experience = Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. **Enjoy data!** -- The PyTables Team :: Ivan Vilata i Balaguer qo http://www.carabos.com/ Cárabos Coop. V. V V Enjoy

Re: [Numpy-discussion] [ANN] Release of the first PyTables video

it in the PyTables lists and in our websites, to avoid flooding other lists with announces. Best regards, :: Ivan Vilata i Balaguer qo http://www.carabos.com/ Cárabos Coop. V. V V Enjoy Data signature.asc Description: Digital signature

[Numpy-discussion] [ANN] Release of the first PyTables video

, :: Ivan Vilata i Balaguer qo http://www.carabos.com/ Cárabos Coop. V. V V Enjoy Data signature.asc Description: Digital signature ___ Numpy-discussion mailing list Numpy-discussion@scipy.org

Re: [Numpy-discussion] Pickle, pytables, and sqlite - loading and saving recarray's

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

Re: [Numpy-discussion] Pickle, pytables, and sqlite - loading and saving recarray's

and simple, useful code. Great! :: Ivan Vilata i Balaguer qo http://www.carabos.com/ Cárabos Coop. V. V V Enjoy Data signature.asc Description: Digital signature ___ Numpy-discussion

[Numpy-discussion] [ANN] PyTables PyTables Pro 2.0 released

Announcing PyTables PyTables Pro 2.0 PyTables is a library for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data with support for full 64-bit file addressing.

[Numpy-discussion] [ANN] PyTables 2.0rc1 released

!** -- The PyTables Team :: Ivan Vilata i Balaguer qo http://www.carabos.com/ Cárabos Coop. V. V V Enjoy Data signature.asc Description: Digital signature ___ Numpy-discussion mailing list

[Numpy-discussion] [ANN] PyTables 2.0 alpha2

data installation, among other fixes. We expect to have the documentation revised and the API definitely settled very soon in order to release the first beta version. The official announcement follows. Enjoy data! :: Ivan Vilata i Balaguer qo http://www.carabos.com

[Numpy-discussion] Fixes to Numexpr under 64 bit platforms

to be used as shapes and strides. The errors where easy to spot by looking at the warnings yielded by the compiler. Changes have been tested under a Dual Core AMD Opteron 270 running SuSE 10.0 X86-64 with Python 2.4 and 2.5. Have nice holidays, :: Ivan Vilata i Balaguer qo http

[Numpy-discussion] Type of 1st argument in Numexpr where()

://numpy.scipy.org/ still points to the old SourceForge list address. :: Ivan Vilata i Balaguer qo http://www.carabos.com/ Cárabos Coop. V. V V Enjoy Data Index: interp_body.c

Re: [Numpy-discussion] Type of 1st argument in Numexpr where()

about what does always using float for the condition saves us a couple of opcodes mean. Could you explain this? Just for curiosity. :) :: Ivan Vilata i Balaguer qo http://www.carabos.com/ Cárabos Coop. V. V V Enjoy Data