Francesc Alted wrote: > A Tuesday 18 November 2008, Eric Bruning escrigué: >> If extended slicing isn't supported, is there a better way to deal >> with sparse indices than: >> for row_id, datum in zip(row_ids, coldata): >> col[row_id] = datum > > Yes, there is. You can make use of the .itersequence() iterator > combined with the .update() method: > > for i, row in enumerate(tbl.itersequence(row_ids)): > row['col'] = coldata[i] > row.update() > tbl.flush() > > This method has the advantage that the update is made by using an > internal buffer, so it will be faster in general (specially when you > modify a lot of rows) than the one you suggested.
Two questions: 1. Is there a similar function for Arrays? I don't see one. 2. The documentation for Table.itersequence says: -- itersequence(sequence, sort=True) Iterate over a sequence of row coordinates. A true value for sort means that the sequence will be sorted so that I/O might perform better. If your sequence is already sorted or you don't want to sort it, leave this parameter as false. The default is not to sort the sequence. -- Is the default sort=True or sort=False. The signature and the last sentence disagree. -- Anthony Foglia Princeton Consultants (609) 987-8787 x233 ------------------------------------------------------------------------- This SF.Net email is sponsored by the Moblin Your Move Developer's challenge Build the coolest Linux based applications with Moblin SDK & win great prizes Grand prize is a trip for two to an Open Source event anywhere in the world http://moblin-contest.org/redirect.php?banner_id=100&url=/ _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
