On Sat, Jan 15, 2011 at 3:27 PM, <[email protected]> wrote:
> After upgrading to numpy 1.5.1 I got caught by some depreciated
> features. Given the depreciation policy of numpy, if we want to
> support more than two versions of numpy, then we need some conditional
> execution.
>
> Does anyone have any compatibility functions?
>
> I haven't looked at it carefully yet, but statsmodels might need
> things like the following if we want to support numpy 1.3
>
> if np.__version__ < '1.5':
> freq,hsupp = np.histogram(rvs, histsupp, new=True)
> else:
> freq,hsupp = np.histogram(rvs,histsupp)
>
> matplotlib says it supports numpy >=1.1 but I didn't see any
> compatibility code that I could "borrow".
> Or do I worry for nothing? The compatibility.py in statsmodels is
> still almost empty.
for scipy.linalg, in numdifftools, I changed this in core (in my copy)
if numpy.__version__ < '1.5':
[qromb,rromb] = linalg.qr(rmat, econ=True)
else:
[qromb,rromb] = linalg.qr(rmat, mode='economic')
>
> Josef
>
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