Load.reshape_cartesian

pyPLUTO.Load.reshape_cartesian(self, *args: Any, **kwargs: Any) → tuple[ndarray[tuple[Any, ...], dtype[_ScalarT]], ...]

Function that reshapes a variable from a cylindrical or spherical grid into a cartesian grid. Zones not covered by the original domain (e.g. the very inner radial regions) are also interpolated. At the current stage, the transformation is only in 2D.

Parameters:

- nx1: int, default len(x1)

The number of grid points in the first direction.

- nx2: int, default len(x2)

The number of grid points in the second direction.

- transpose: bool, default False

If True, the variable is transposed.

- var: np.ndarray

The variable to convert.

- x1: int

The first index of the variable.

- x2: int

The second index of the variable.

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Returns:

• newvar: tuple(np.ndarray)

  The converted variable.

Examples

• Example #1: Convert the vector from spherical to cartesian components

  >>> Bx, By, Bz = cartesian_vector(var="B")
  

• Example #2: Convert the vector from polar to cartesian components

  >>> Bx, By = cartesian_vector(var1=D.Bx1, var2=D.Bx2)
  

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