Is your feature request related to a problem? Please describe.
In vector.py we have a private function that checks for the existence of any required dimensions + coordinate in a data array. These dims and coords are passed as a dict. For example, if {'space': ['x, y'], 'time': []} is passed, it will check that the space and time dimensions exists, and that the space dimension specifically has x and y coordinates.
This sort of function is generally useful, and could be used across vector.py, kinematics.py and filtering.py to validate the existence of an arbitrary subsets of dims and coords in data array objects. For example, this would eliminate the need for the _validate_time_dimension function in kinematics.py, which is much narrower in scope.
Describe the solution you'd like
Make the above function public, perhaps in a new validators/arrays.py module?
Additional context
This issue could be solved in conjunction with #291
Is your feature request related to a problem? Please describe. In
vector.pywe have a private function that checks for the existence of any required dimensions + coordinate in a data array. Thesedimsandcoordsare passed as a dict. For example, if{'space': ['x, y'], 'time': []}is passed, it will check that thespaceandtimedimensions exists, and that thespacedimension specifically hasxandycoordinates.This sort of function is generally useful, and could be used across
vector.py,kinematics.pyandfiltering.pyto validate the existence of an arbitrary subsets ofdimsandcoordsin data array objects. For example, this would eliminate the need for the_validate_time_dimensionfunction inkinematics.py, which is much narrower in scope.Describe the solution you'd like Make the above function public, perhaps in a new
validators/arrays.pymodule?Additional context This issue could be solved in conjunction with #291