[Pytables-users] numpy datatypes

[Jan S. <cur...@gm...>]

Hi !
I have a problem with the numpy datatypes and the Table.where method.
something like
for item in numpy_list:
   print [row for row in table.where(table.cols.item==item)]
fails, if numpy_listis a list of numpy integers.
Traceback (most recent call last):
  File "createDisjointSets.py", line 101, in ?
    createDisjointSets(sys.argv[1])
  File "createDisjointSets.py", line 90, in createDisjointSets
    copyTable(fLambda.root.events.eventHeader, events, uniqueLambdas)
  File "createDisjointSets.py", line 62, in copyTable
    rows = [row.nrow for line in selector for row in source.where(
source.cols.event_id == line['event_id'])]
  File
"/nfs/slac/g/lcd/mc/prj/sw/extern/python2.4/lib/python2.4/site-packages/tables/Table.py",
line 763, in where
    return self._whereIndexed(condition, start, stop, step)
  File
"/nfs/slac/g/lcd/mc/prj/sw/extern/python2.4/lib/python2.4/site-packages/tables/Table.py",
line 823, in _whereIndexed
    ncoords = condition.index.getLookupRange(condition)
  File
"/nfs/slac/g/lcd/mc/prj/sw/extern/python2.4/lib/python2.4/site-packages/tables/Index.py",
line 607, in getLookupRange
    raise TypeError("""\
TypeError: Bounds (or range limits) for integer columns can only be ints or
floats.

I can make it work by casting item to an int, but I really don't want to.
(In some cases I can't)
The flavor of the table is numpy and the size (in bytes) of the datatypes is
the same
Is this a bug, or am I just doing something silly and there is a better way
to do things?

Thanks,
    Jan