[Numpy-discussion] Second order gradient in numpy

[Yuxiang Wang]

Hi Chris,

Thank you! This is useful information. Unfortunately, I am doing this
on data from a sensor and would be hard to fit to a simple polynomial
while avoiding overfitting.

Thanks again!

Shawn

On Thu, May 1, 2014 at 7:01 PM, Chris Barker <chris.barker at noaa.gov> wrote:
> On Thu, May 1, 2014 at 3:42 PM, Christian K. <ckkart at hoc.net> wrote:
>
>>
>> It looks like you are looking for the derivative rather than the
>> gradient. Have a look at:
>>
>> np.diff(a, n=1, axis=-1)
>>
>> n is the order if the derivative.
>
>
> depending on your use case, you may want to use a polynomial fit for a
> higher order derivative:
>
> np.polyder()
>
> -Chris
>
>
> --
>
> Christopher Barker, Ph.D.
> Oceanographer
>
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-- 
Yuxiang "Shawn" Wang
Gerling Research Lab
University of Virginia
yw5aj at virginia.edu
+1 (434) 284-0836
https://sites.google.com/a/virginia.edu/yw5aj/