gridmarthe.stack_coords

gridmarthe.stack_coords(ds, coords=('z', 'y', 'x'), dropna=False)[source]

Transform a 3 or 4D aray into 1 or 2D array inverse of assign_coords()

Parameters:

dsxarray.Dataset: dataset of Marthe variable(s)
coordslist, optional: list of coordinates to stack. Default is [‘z’, ‘y’, ‘x’] if z is not present in ds.coords, it will be ignored.
dropnabool, optional: drop NaN values in stacked dataset. Default is False.

Returns:

xr.Dataset: Dataset with stacked coordinates as single dimension zone.

Notes

For nested grids, the total number of zones cannot be checked when flattening back to 1D from cartesian coords/arrays. It will lead to incorrect total number of zones as different cell sizes exist in the 3D grid. For such cases, it is advised to use dropna=True to remove empty zones. Then write back to marthe grid with gridmarthe.write_marthe_grid() using a permh file as template.

TODO: add a sort option to ensure sorted coords in output based on z,y,x order AND dx, dy scale (larger scale first, then smaller)