import numpy as np
import dascore as dc
pa = dc.get_example_patch("random_patch_with_lat_lon")
# Drop non-dimensional coordinate latitude
pa_no_lat = pa.drop_coords("latitude")
# A sequence of names works as well.
pa_no_lat = pa.drop_coords(["latitude"])
# Move a coordinate holding one value into the attrs.
ones = np.ones(pa.coord_shapes["distance"])
out = pa.update_coords(quality=("distance", ones)).drop_coords(
"quality", to_attrs=True
)
assert out.attrs["quality"] == 1drop_coords
drop_coords(
self ,
*coords: str | collections.abc.Iterable[str, collections.abc.Iterable[str]] ,
to_attrs: bool = False,
)-> ‘Self’
Drop one or more non-dimensional coordinates.
Parameters
| Parameter | Description |
|---|---|
| *coords |
One or more coordinates to drop. Each can be a coordinate name or a sequence of them. |
| to_attrs |
If True, store each dropped coordinate’s value as an attribute of the same name; each must hold one non-null value throughout, and its units are not kept. With no names given, every non-dimensional coordinate holding one value moves, skipping private coordinates and names the attrs reserve. |
Raises
ParameterError If a named coordinate is a dimension. CoordError With to_attrs, if a named coordinate is absent, private, reserved by the attrs, or not one non-null value throughout.