Suppose I have the following DataSet:
>>> coords = {"coords": ("x", [10, 20, 30, 40])}
>>> dset = xr.Dataset(coords=coords)
>>> dset
<xarray.Dataset>
Dimensions: (x: 4)
Coordinates:
coords (x) int64 10 20 30 40
Dimensions without coordinates: x
Data variables:
*empty*
How can I modify the dataset such that xarray knows to assign 'coords' to the dimension 'x'? Ie I do not want 'x' to be a dimension without coordinates, the coordinates are supposed to be 'coords'.
I'd like to know how to achieve this in these two ways:
xarray has concepts of both dimensions
and coordinates
. Dimensions are the names assigned to each array axis. Coordinates define labels along the axis.
You've defined the coordinate coords
, indexed by dimension x
. The coords
coordinate has labels [10, 20, 30, 40]
along dimension x
. You never define labels for dimension x
though.
What you probably mean is to have a coordinate x
which provides labels for dimension x
:
In [2]: coords = {"x": ("x", [10, 20, 30, 40])}
...: ds = xr.Dataset(coords=coords)
...: ds
Out[2]:
<xarray.Dataset>
Dimensions: (x: 4)
Coordinates:
* x (x) int64 10 20 30 40
Data variables:
*empty*
See the xarray docs and thexarray tutorial sections on Data Structures for more info.
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