I add an array of dates to the PyTables file. That array just keeps track of
which dates are stored. When I append a new date of data I just check whether
that date is already in the file or not. For me that is simpler than involving
SQL.
BTW, what I found handy was to put the downloaded
On Apr 22, 2011, at 11:57 AM, Abhijit Gadgil wrote:
Thanks for the quick reply, please see below.
On Fri, Apr 22, 2011 at 10:32 PM, Robert Ferrell ferr...@diablotech.com
wrote:
I add an array of dates to the PyTables file. That array just keeps track of
which dates are stored. When
I just updated some software and found lots of errors with
tables.test(heavy=True)
This is just the last error message - it looks like most of the errors
are similar to this one.
This is on OS X 10.5. I found the same errors with HDF 1.8.4/Numpy
1.4.0/Python 2.6.1 on OS X 10.6 on a
On Dec 2, 2009, at 12:17 PM, Francesc Alted wrote:
A Wednesday 02 December 2009 19:46:42 Robert Ferrell escrigué:
I just built PyTables on OS X 10.6 (Snow Leopard). (Thanks to all
for
help from many quarters.) tables.test() ran fine. But
tables.test(heavy=True) gave many errors, all
I'm trying to write a table of numpy records, but failing.
I have a numpy dtype
dtp = np.dtype([('x',np.float64), ('y', np.float64)])
I was hoping I could make columns with this:
class DoesNotWork(tables.IsDescription):
XY = tables.Col.from_atom(tables.Atom.from_dtype(dtype=dtp))
but
Okay, I'm completely confused. I've gone through the docs and there
are many examples, but I can't find anything as simple as I want.
Maybe I'm not using the right tool?
In it's simplest form, I have a large number of (name, np array)
tuples. (I happen to store them in a dict, and the np
I have an elementary question.
I have a dictionary with about 10,000 keys. The keys are (shortish)
strings. Each value is a time series of structured arrays (record
arrays) with 5 fields. Each value totals about 100,000 bytes, so the
total data size isn't huge, about 1GB.
What would be
