Never mind, this was fixed with commit 3a7e61c7d55be9a84929747c38cd71e62593129d.
Russel
From: numpy-discussion-boun...@scipy.org [numpy-discussion-boun...@scipy.org]
on behalf of Russel Howe [rus...@appliedminds.com]
Sent: Friday, July 20, 2012 8:04 PM
To
Hi,
Just a heads up that right now views of recarrays seem to be problematic,
this doesn't work anymore:
>>> import statsmodels.api as sm
>>> dta = sm.datasets.macrodata.load() # returns a record array with 14 fields
>>> dta.data[['infl', 'realgdp']].view((float,2))
I opened http://projects.sci
On Sun, Jul 22, 2012 at 8:54 AM, Dr.Leo wrote:
> Hi,
>
> I am a seasoned numpy/pandas user mainly interested in financial
> applications. These and other applications would greatly benefit from a
> decimal data type with flexible rounding rules, precision etc.
>
> Yes, there is cdecimal, the tradi
Hi,
I am a seasoned numpy/pandas user mainly interested in financial
applications. These and other applications would greatly benefit from a
decimal data type with flexible rounding rules, precision etc.
Yes, there is cdecimal, the traditional decimal module from the Python
stdlib rewritten in