Francesc Alted <faltet <at> pytables.org> writes:
>
> A Friday 01 July 2011 02:21:04 Anthony Scopatz escrigué:
> > Hi Jason,
> >
> > Glad we could help, and that your problem seemed to get worked out.
> >
> > I agree that VLArrayCol would be nice, even though I still think that
> > nested tables handle this (albeit with a little more syntax). Feel
> > free to open an issue on github about this, including some of the
> > comments and references here.
>
> A VLArrayCol capability and nested tables are quite orthogonal. I've
> always whished to add such a VLArrayCol feature, but never do that.
> However, for keeping the high speed access to regular Table objects, I'd
> rather use another table object (say, CTable), where the data is
> arranged column-wise, not row-wise as in current implemementation of a
> Table.
>
Hi Anthony:
Could you please include a short example of a nested table in a table?
I am finding the row.append() command messing things up.
Here's a dummy example:
# open a file in 'w'rite mode
h5f = pt.openFile(file, mode='w', title='Test')
# get HDF5 root group
root = h5f.root
table = h5f.createTable(root, 'table', Funds)
row = table.row
# populate table
for i in range(10):
row['code'] = 'ABCD'
row['name'] = 'Fund Name'
row['type'] = 'Type'
for j in range(20):
data1 = i*100 + j*10
data2 = i*1. + j*0.1
row['Data/price'] = data1
row['Data/dividend'] = data2
row.append()
table.flush()
h5f.close()
where:
class Data_(pt.IsDescription):
date = pt.Time32Col(pos=0)
price = pt.Float32Col(pos=1)
dividend = pt.Float32Col(pos=2)
class Funds(pt.IsDescription):
code = pt.StringCol(itemsize=4,dflt="",pos=0)
name = pt.StringCol(itemsize=80,dflt="",pos=1)
type = pt.StringCol(itemsize=80,dflt="",pos=2)
data = Data()
Thanks!
Salman
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