datatree.DataTree.reset_coords#
- DataTree.reset_coords(names: Dims = None, drop: bool = False) Self [source]#
Given names of coordinates, reset them to become variables
- Parameters
Examples
>>> dataset = xr.Dataset( ... { ... "temperature": ( ... ["time", "lat", "lon"], ... [[[25, 26], [27, 28]], [[29, 30], [31, 32]]], ... ), ... "precipitation": ( ... ["time", "lat", "lon"], ... [[[0.5, 0.8], [0.2, 0.4]], [[0.3, 0.6], [0.7, 0.9]]], ... ), ... }, ... coords={ ... "time": pd.date_range(start="2023-01-01", periods=2), ... "lat": [40, 41], ... "lon": [-80, -79], ... "altitude": 1000, ... }, ... )
# Dataset before resetting coordinates
>>> dataset <xarray.Dataset> Dimensions: (time: 2, lat: 2, lon: 2) Coordinates: * time (time) datetime64[ns] 2023-01-01 2023-01-02 * lat (lat) int64 40 41 * lon (lon) int64 -80 -79 altitude int64 1000 Data variables: temperature (time, lat, lon) int64 25 26 27 28 29 30 31 32 precipitation (time, lat, lon) float64 0.5 0.8 0.2 0.4 0.3 0.6 0.7 0.9
# Reset the ‘altitude’ coordinate
>>> dataset_reset = dataset.reset_coords("altitude")
# Dataset after resetting coordinates
>>> dataset_reset <xarray.Dataset> Dimensions: (time: 2, lat: 2, lon: 2) Coordinates: * time (time) datetime64[ns] 2023-01-01 2023-01-02 * lat (lat) int64 40 41 * lon (lon) int64 -80 -79 Data variables: temperature (time, lat, lon) int64 25 26 27 28 29 30 31 32 precipitation (time, lat, lon) float64 0.5 0.8 0.2 0.4 0.3 0.6 0.7 0.9 altitude int64 1000
- Returns
See also
Dataset.set_coords