On Tue, Sep 11, 2012 at 12:52 AM, Jadhav, Alok <
alok.jad...@credit-suisse.com> wrote:
> Hi Travis,
>
> ** **
>
> Very Strange. I am on version 1.6.2 L
>
> What could I be missing. I started using numpy quite recently. Is there a
> way to share the data with you?
>
Hi Alok,
Typically, a
Hi Travis,
Very Strange. I am on version 1.6.2 L
What could I be missing. I started using numpy quite recently. Is there
a way to share the data with you?
Regards,
Alok Jadhav
GAT IT Hong Kong
+852 2101 6274 (*852 6274)
From: numpy-discussion-boun...@scipy.org
[mailto:numpy-discu
Hey Alok,
This is worth taking a look. What version of NumPy are you using?
It is not related directly to the issue you referenced as that was an
endian-ness issue and your data is native-order.
Your example seems to work for me (with a simulated case on 1.6.1)
Best,
-Travis
On Sep
Hi everyone,
I have a numpy array of dimensions
>>> allRics.shape
(583760, 1)
To sort the array, I set the dtype of the array as follows:
allRics.dtype = [('idx', np.float), ('opened', np.float), ('time',
np.float),('trdp1',np.float),('trdp0',np.float),('dt',np.float),('value'
Dear all numpy users,
what's the easy way if I just want to change part of the unmasked array
elements into another new value? like an example below:
in my real case, I would like to change a subgrid of a masked numpy array
to another value, but this grid include both masked and unmasked data.
If
