How can I replace values in an xarray variable?

11,029

I messed up the order of the dims. This works:

lat = ds['latitude'].values
long = ds['longitude'].values
elevation_band = ds['elevation_band'].values

mean_elev = np.array([0.1, 0.5, 0.3, 0.6]).reshape((4, 1, 1))

me = xr.DataArray(mean_elev, coords={'latitude': lat, 'longitude': long, 
                                'elevation_band': elevation_band},
             dims=['elevation_band', 'latitude', 'longitude'])
ds['mean_elev'] = me

Confirmation

ds['mean_elev']

<xarray.DataArray 'mean_elev' (elevation_band: 4, latitude: 1, longitude: 1)>
array([[[ 0.1]],

       [[ 0.5]],

       [[ 0.3]],

       [[ 0.6]]])
Coordinates:
  * longitude       (longitude) float64 -111.4
  * latitude        (latitude) float64 44.51
  * elevation_band  (elevation_band) int32 1 2 3 4
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11,029
ferengi
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ferengi

Just trying to improve myself.

Updated on June 18, 2022

Comments

  • ferengi
    ferengi almost 2 years

    I have an xarray dataset ds

    <xarray.Dataset>
    Dimensions:         (elevation_band: 4, latitude: 1, longitude: 1)
    Coordinates:
      * longitude       (longitude) float64 -111.4
      * latitude        (latitude) float64 44.51
      * elevation_band  (elevation_band) int32 1 2 3 4
    Data variables:
        area_frac       (elevation_band, latitude, longitude) float64 0.005109 ...
        mean_elev       (elevation_band, latitude, longitude) float64 2.45e+03 ...
        prec_frac       (elevation_band, latitude, longitude) float64 0.005109 ...
    

    And I want to replace the values of mean_elev with these values [0.1, 0.2, 0.3, 0.4] leading to this error:

    Trial 1

    ds['mean_elev'].values = np.atleast_3d([0.1, 0.5, 0.3, 0.6]).reshape((4, 1, 1))
    

    Error 2

    MissingDimensionsError: cannot set variable 'mean_elev' with 3-dimensional data without explicit dimension names. Pass a tuple of (dims, data) instead.

    Trial 2

    So, far I have tried to create a separate dataArray for merging:

    lat = ds['latitude'].values
    long = ds['longitude'].values
    elevation_band = ds['elevation_band'].values
    
    mean_elev = np.array([0.1, 0.5, 0.3, 0.6]).reshape((4, 1, 1))
    
    xr.DataArray(mean_elev, coords={'latitude': lat, 'longitude': long, 
                                    'elevation_band': elevation_band},
                 dims=['latitude', 'longitude', 'elevation_band'])
    

    Error 2

    ValueError: conflicting sizes for dimension 'latitude': length 4 on the data but length 1 on coordinate 'latitude'

    Open to alternative solutions or making one of these work.