import tables h5f = tables.open_file('mydata.h5', 'a') tbl = h5f.get_node('/exp1/observations') data = tbl.read_where('text_ts < "2019-04-01"')
tbl, and then supply data as a parameter, but I was wondering if there was something that was more memory efficient, where I could use say an iterrator or the coordinates to create the table with the filtered data?
Hi! I'm using pytables and I really like it. I have a question about a certain usage
I'm trying create a table, where one field is an array of size (N, 2048), where N is variable (from 1 to 100).
I'm not sure how to go about this, should I create a nested table with a field of size 2048 ? Or is this a use case for VLArray ?
for now I was padding like this
class Data(tb.IsDescription): array = tb.Float32Col(shape=(100, 2048))
and setting the padded data to zero.
What's the easiest way to do this with pytables ?
test.pypi.orgat https://github.com/PyTables/PyTables/issues/823#issuecomment-770637412 and wanted to take the chance to also ping @tomkooij about it here.