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 10, 2012, at 10:46 PM, Jadhav, Alok wrote:
>
> 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',np.float)]
>
> >>> allRics.dtype
> dtype([('idx', '<f8'), ('opened', '<f8'), ('time', '<f8'), ('trdp1', '<f8'),
> ('trdp0', '<f8'), ('dt', '<f8'), ('value', '<f8')])
>
> I checked and the endianness in dtype is correct.
>
> When I sort the array, the output array of sort is same as original array
> without any change. I want to sort the allRics numpy array on ‘time’. I do
> the following.
>
> >>> x=np.sort(allRics,order='time')
> >>> x[17330:17350]['time']
> array([[ 61184.4 ],
> [ 61188.51 ],
> [ 61188.979],
> [ 61188.979],
> [ 61189.989],
> [ 61191.66 ],
> [ 61194.35 ],
> [ 61194.35 ],
> [ 61198.79 ],
> [ 61198.145],
> [ 36126.217],
> [ 36126.217],
> [ 36126.218],
> [ 36126.218],
> [ 36126.219],
> [ 36126.271],
> [ 36126.271],
> [ 36126.271],
> [ 36126.293],
> [ 36126.293]])
>
> Time column doesn’t change its order. Could someone please advise what is
> missing here? Is this related to the bug
> http://www.mail-archive.com/numpy-discussion@scipy.org/msg23060.html (from
> 2010).
>
> Regards,
> Alok
>
>
>
>
>
> Alok Jadhav
> CREDIT SUISSE AG
> GAT IT Hong Kong, KVAG 67
> International Commerce Centre | Hong Kong | Hong Kong
> Phone +852 2101 6274 | Mobile +852 9169 7172
> alok.jad...@credit-suisse.com | www.credit-suisse.com
>
>
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