reset_coords
- UnitsAwareDataArray.reset_coords(names: Dims = None, *, drop: bool = False) Self | Dataset
Given names of coordinates, reset them to become variables.
- Parameters:
- Return type:
Dataset, or DataArray if
drop == True
Examples
>>> temperature = np.arange(25).reshape(5, 5) >>> pressure = np.arange(50, 75).reshape(5, 5) >>> da = xr.DataArray( ... data=temperature, ... dims=["x", "y"], ... coords=dict( ... lon=("x", np.arange(10, 15)), ... lat=("y", np.arange(20, 25)), ... Pressure=(["x", "y"], pressure), ... ), ... name="Temperature", ... ) >>> da <xarray.DataArray 'Temperature' (x: 5, y: 5)> Size: 200B array([[ 0, 1, 2, 3, 4], [ 5, 6, 7, 8, 9], [10, 11, 12, 13, 14], [15, 16, 17, 18, 19], [20, 21, 22, 23, 24]]) Coordinates: lon (x) int64 40B 10 11 12 13 14 lat (y) int64 40B 20 21 22 23 24 Pressure (x, y) int64 200B 50 51 52 53 54 55 56 57 ... 68 69 70 71 72 73 74 Dimensions without coordinates: x, y
Return Dataset with target coordinate as a data variable rather than a coordinate variable:
>>> da.reset_coords(names="Pressure") <xarray.Dataset> Size: 480B Dimensions: (x: 5, y: 5) Coordinates: lon (x) int64 40B 10 11 12 13 14 lat (y) int64 40B 20 21 22 23 24 Dimensions without coordinates: x, y Data variables: Pressure (x, y) int64 200B 50 51 52 53 54 55 56 ... 68 69 70 71 72 73 74 Temperature (x, y) int64 200B 0 1 2 3 4 5 6 7 8 ... 17 18 19 20 21 22 23 24
Return DataArray without targeted coordinate:
>>> da.reset_coords(names="Pressure", drop=True) <xarray.DataArray 'Temperature' (x: 5, y: 5)> Size: 200B array([[ 0, 1, 2, 3, 4], [ 5, 6, 7, 8, 9], [10, 11, 12, 13, 14], [15, 16, 17, 18, 19], [20, 21, 22, 23, 24]]) Coordinates: lon (x) int64 40B 10 11 12 13 14 lat (y) int64 40B 20 21 22 23 24 Dimensions without coordinates: x, y