numpy.gradient()
numpy.gradient
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numpy.gradient(f, *varargs, **kwargs)[source] -
Return the gradient of an N-dimensional array.
The gradient is computed using second order accurate central differences in the interior and either first differences or second order accurate one-sides (forward or backwards) differences at the boundaries. The returned gradient hence has the same shape as the input array.
Parameters: f : array_like
An N-dimensional array containing samples