On 07/08/2010 08:52 AM, Wes McKinney wrote:
On Thu, Jul 8, 2010 at 9:26 AM, Hannes Bretschneider
hannes.bretschnei...@wiwi.hu-berlin.de wrote:
Dear NumPy developers,
I have to process some big data files with high-frequency
financial data. I am trying to load a delimited text file
Sebastian Haase seb.haase at gmail.com writes:
I would expect a 700MB text file translate into less than 200MB of
data - assuming that you are talking about decimal numbers (maybe
total of 10 digits each + spaces) and saving as float32 binary.
So the problem would only be the loading in -
Hi.
I am using numpy arrays and when constructing an array I get a cannot
allocate memory for thread-local data: ABORT
The array i'm constructing is
zeros((numVars, 2, numVars, 2), dtype=float) Where numVars is at about 2000.
I was expecting the memory usage to be
On Thu, Mar 4, 2010 at 19:10, kaby kackvo...@gmail.com wrote:
Hi.
I am using numpy arrays and when constructing an array I get a cannot
allocate memory for thread-local data: ABORT
The array i'm constructing is
zeros((numVars, 2, numVars, 2), dtype=float) Where numVars is at about 2000.
I
