Thanks. I will try it out and post any findings.
Pushkar
On Thu, Jul 18, 2013 at 12:36 AM, Andreas Hilboll wrote:
> >
>
> You could use pandas_ and the read_table function. There, you have nrows
> and skiprows parameters with which you can easily do your own 'streaming'.
>
> .. _pandas: http://
Hi Pushkar,
I agree with Antonio. You should load your data with NumPy functions and
then write back out to PyTables. This is the fastest way to do things.
Be Well
Anthony
On Wed, Jul 17, 2013 at 2:12 PM, Antonio Valentino <
antonio.valent...@tiscali.it> wrote:
> Hi Pushkar,
>
> Il 17/07/201
Hi Pushkar,
Il 17/07/2013 19:28, Pushkar Raj Pande ha scritto:
> Hi all,
>
> I am trying to figure out the best way to bulk load data into pytables.
> This question may have been already answered but I couldn't find what I was
> looking for.
>
> The source data is in form of csv which may requir
Hi all,
I am trying to figure out the best way to bulk load data into pytables.
This question may have been already answered but I couldn't find what I was
looking for.
The source data is in form of csv which may require parsing, type checking
and setting default values if it doesn't conform to t
