xarray.Dataset.reset_coords (original) (raw)

Dataset.reset_coords(names=None, drop=False)[source]#

Given names of coordinates, reset them to become variables

Parameters:

• names (str, Iterable of Hashable or None, optional) – Name(s) of non-index coordinates in this dataset to reset into variables. By default, all non-index coordinates are reset.
• drop (bool, default: False) – If True, remove coordinates instead of converting them into variables.

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> Size: 184B Dimensions: (time: 2, lat: 2, lon: 2) Coordinates:

• time (time) datetime64[ns] 16B 2023-01-01 2023-01-02
• lat (lat) int64 16B 40 41
• lon (lon) int64 16B -80 -79 altitude int64 8B 1000 Data variables: temperature (time, lat, lon) int64 64B 25 26 27 28 29 30 31 32 precipitation (time, lat, lon) float64 64B 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> Size: 184B Dimensions: (time: 2, lat: 2, lon: 2) Coordinates:

• time (time) datetime64[ns] 16B 2023-01-01 2023-01-02
• lat (lat) int64 16B 40 41
• lon (lon) int64 16B -80 -79 Data variables: temperature (time, lat, lon) int64 64B 25 26 27 28 29 30 31 32 precipitation (time, lat, lon) float64 64B 0.5 0.8 0.2 0.4 0.3 0.6 0.7 0.9 altitude int64 8B 1000

Returns:

Dataset