Hello,
I have a function that I fitting to a curve via scipy.optimize.leastsq. The
function has 4 parameters and this is all working fine.
For a site, I have a number of curves (n=10 in the example below). I would
like to some of the parameters to be the best fit across all curves (best fit
Hello,
I am not sure if the following is a bug or not. I recently tried to set the
print precision in numpy but it didn't seem to make a difference. It seems
that the use of np.ma.masked_invalid results in arrays printing precision of
12 regardless of the default setting or any subsequent settin
Pierre GM gmail.com> writes:
>
> I just pushed the weekend's changes, including a fix for your problem.
> Now it should be possible to define an array of dates w/ a timestep
different from 1:
> >>> date_array(start_date=Date("T", "2010-06-21 00:00"), length=4,
timestep=15)
> DateArray([21-Jun
Pierre GM gmail.com> writes:
>
> On Jun 10, 2010, at 7:16 PM, Bevan Jenkins wrote:
> > Hello,
> >
> > I have posted previously about dates prior to 1900 but this seems to be a
> > seperate issue. The error message is definitley different.
> > I can not
Hello,
I have posted previously about dates prior to 1900 but this seems to be a
seperate issue. The error message is definitley different.
I can not seem to convert a timseseries from one frequency ('D') to another
('H') when i use dates prior to 1970 as shown below. This works fine when I
u
0
>
> The comparison line above, "(carry - thresh0 >= -1e-15", may look
> strange -- it basically just does "carry >= thresh". For some reason
> I don't quite understand, when accumulating floats, it sometimes
> happens that "1.0 != 1.0&qu
is appreciated,
Bevan Jenkins
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hour =0)
In [5]: print (E)
<>
I was wondering if there is anyway to use timeseries with dates <1900?
If not I will forgo timeseries for the select few datasets I have with data
<1900.
Thanks for the v. useful scikit,
Bevan Jenkins
_
