Load.reshape_cartesian#

TransformManager.reshape_cartesian(var1: ndarray, var2: ndarray | None = None, var3: ndarray | None = None, **kwargs: Unpack[ReshapeKwargs]) → tuple[ndarray, ...][source]

Reshape a variable 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: True/False, default False: Transposes the variable matrix. Use is not recommended if not really necessary (e.g. in case of highly customized variables and plots).
- var1 (not optional): np.ndarray: The first variable to convert.
- var2: np.ndarray | None, default None: The second variable to convert.
- var3: np.ndarray | None, default None: The third variable to convert.
- x1: np.ndarray, default self.x1: The first grid coordinate.
- x2: np.ndarray, default self.x2: The second grid coordinate.

Returns:

newvar: tuple(np.ndarray)
The converted variable.

Examples

Example #1: Reshape a single variable into a cartesian grid
```
>>> xc, yc, rho = reshape_cartesian(D.rho)
```

Example #2: Reshape two variables into a cartesian grid

>>> xc, yc, Bx, Bz = reshape_cartesian(Bx, Bz, nx1=500)