Okay??
That does seem to work... I guess I'd better go read up on index_tricks.py ?
Thanks.
Alan G Isaac wrote:
>
x1,y1,x2,y2 =np.random.random((4,20))
data = dict(var1=(x1,y1), var2=(x2,y2))
a = np.c_[[d for xy in data.values() for d in xy]]
a
> array([[ 0.66613738, 0.
washakie wrote:
> DataDict={var1:(x1,y1),var2:(x2,y2),var3:(x3,y3)} ; where the x and y's are
> generally lists.
You might be able to use numpy record arrays (recarray). There are lots
of good reasons to use numpy arrays other than plotting.
-Chris
--
Christopher Barker, Ph.D.
Oceanographe
On Fri, 13 Jun 2008, washakie apparently wrote:
> DataDict={var1:(x1,y1),var2:(x2,y2),var3:(x3,y3)} ; where
> the x and y's are generally lists.
> Now that's nice, because I can cycle through the DataDict.keys() to batch
> plot, etc. But how can I convert the whole dict into
> a single array (
