A Monday 06 December 2010 22:00:29 Wai Yip Tung escrigué:
> Thank you for the quick response and Christopher's explanation on the
> design background.
>
> All my tables fit in-memory. I want to explore the data interactively
> and relational database is does not provide me a lot of value.
>
> I w
On 12/6/10 1:00 PM, Wai Yip Tung wrote:
> Thank you for the quick response and Christopher's explanation on the
> design background.
you're welcome.
> But if adding row build a new array, this will lead to O(n^2) complexity.
if you are adding a lot of rows one at a time, yes, you can have
perfo
Thank you for the quick response and Christopher's explanation on the
design background.
All my tables fit in-memory. I want to explore the data interactively and
relational database is does not provide me a lot of value.
I was rolling my own library before I come to numpy. Then I find numpy'
On 12/6/10 11:00 AM, Benjamin Root wrote:
> numpy.lib.recfunctions has a method for easily adding new columns.
cool! There is a lot of other nifty- looking stuff in there too. The OP
should really take a look.
And maybe an appending function is in order, too.
-Chris
--
Christopher Barker, P
On Mon, Dec 6, 2010 at 12:26 PM, Christopher Barker
wrote:
> On 12/5/10 7:56 PM, Wai Yip Tung wrote:
>
>> I'm fairly new to numpy and I'm trying to figure out the right way to do
>> things. Continuing on my question about using recarray as a relation.
>>
>
> note that recarrays (or structured arra
On 12/5/10 7:56 PM, Wai Yip Tung wrote:
I'm fairly new to numpy and I'm trying to figure out the right way to do
things. Continuing on my question about using recarray as a relation.
note that recarrays (or structured arrays, AFAIK, the difference is
atturube access only -- I don't use recarra
On Sun, Dec 5, 2010 at 10:56 PM, Wai Yip Tung wrote:
> I'm fairly new to numpy and I'm trying to figure out the right way to do
> things. Continuing on my question about using recarray as a relation. I
> have a recarray like this
>
>
> In [339]: arr = np.array([
> .: (1, 2.2, 0.0),
>
I'm fairly new to numpy and I'm trying to figure out the right way to do
things. Continuing on my question about using recarray as a relation. I
have a recarray like this
In [339]: arr = np.array([
.: (1, 2.2, 0.0),
.: (3, 4.5, 0.0)
.: ],
.: dty
