finite_difference

finite_difference(grid, values, order, accuracy=2, stencil=None, end_point_accuracy=1, axes=None, only_core=False, only_center=False, dtype='float64', **kw): 

Computes a finite difference derivative for the values on the grid

• grid: np.ndarray

  the grid of points for which the vlaues lie on

• values: np.ndarray

  the values on the grid

• order: int | Iterable[int]

  order of the derivative to compute

• stencil: int | Iterable[int]

  number of points to use in the stencil

• accuracy: int | Iterable[int]

  approximate accuracy of the derivative to request (overridden by stencil)

• end_point_accuracy: int | Iterable[int]

  extra stencil points to use on the edges extra stencil points to use on the edges

• axes: int | Iterable[int]

  which axes to perform the successive derivatives over (defaults to the first n axes)

• only_center: bool

  whether or not to only take the central value

• only_core: bool

  whether or not to avoid edge values where a different stencil would be used

• :returns: _

Examples

finite_difference

finite_difference(grid, values, order, accuracy=2, stencil=None, end_point_accuracy=1, axes=None, dtype='float64', **kw): 

Computes a finite difference derivative for the values on the grid

• grid: np.ndarray

  the grid of points for which the vlaues lie on

• values: np.ndarray

  the values on the grid

• order: int | Iterable[int]

  order of the derivative to compute

• stencil: int | Iterable[int]

  number of points to use in the stencil

• accuracy: int | Iterable[int]

  approximate accuracy of the derivative to request (overridden by stencil)

• end_point_accuracy: int | Iterable[int]

  extra stencil points to use on the edges

• axes: int | Iterable[int]

  which axes to perform the successive derivatives over (defaults to the first n axes)

• :returns: _

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Examples:

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