[Python] How to calculate the derivate of a python pandas dataframe given vector values and...

Say I have three scaler components (Vx, Vy, Vz) of some value V, as well as the 2D location coordinates where these values exist (x, y). This is arranged in a pandas dataframe (df) such that the data is arranged as:

Vx Vy Vz x y
30 20 10 1 3
... ... ... ... ...
50 70 40 4 2

Here x and y have the same range [0:5], and there exists value for Vx,y,z at every coordinate.

I want to compute the gradient of my values. How do I go about doing this? Would I need to put the values in a meshgrid? Do I need a timeseries? I am quite lost!

Thank you so much!

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