xarray.Dataset.reset_coords#

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年01月01日", 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[us] 16B 2023年01月01日 2023年01月02日
 * 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[us] 16B 2023年01月01日 2023年01月02日
 * 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

On this page