Drop dimensions and associated variables from this dataset. Parameters ---------- drop_dims : str or Iterable of Hashable Dimension or dimensions to drop. errors : {"raise", "ignore"}, default: "raise" If 'raise', raises a ValueError error if
(
self,
drop_dims: str | Iterable[Hashable],
*,
errors: ErrorOptions = "raise",
)
| 801 | return cast(Self, self.to_dataset().drop_vars(names, errors=errors).coords) |
| 802 | |
| 803 | def drop_dims( |
| 804 | self, |
| 805 | drop_dims: str | Iterable[Hashable], |
| 806 | *, |
| 807 | errors: ErrorOptions = "raise", |
| 808 | ) -> Self: |
| 809 | """Drop dimensions and associated variables from this dataset. |
| 810 | |
| 811 | Parameters |
| 812 | ---------- |
| 813 | drop_dims : str or Iterable of Hashable |
| 814 | Dimension or dimensions to drop. |
| 815 | errors : {"raise", "ignore"}, default: "raise" |
| 816 | If 'raise', raises a ValueError error if any of the |
| 817 | dimensions passed are not in the dataset. If 'ignore', any given |
| 818 | dimensions that are in the dataset are dropped and no error is raised. |
| 819 | |
| 820 | Returns |
| 821 | ------- |
| 822 | obj : Coordinates |
| 823 | Coordinates object without the given dimensions (or any coordinates |
| 824 | containing those dimensions). |
| 825 | """ |
| 826 | return cast(Self, self.to_dataset().drop_dims(drop_dims, errors=errors).coords) |
| 827 | |
| 828 | def rename_dims( |
| 829 | self, |