issue_comments: 642669071

This data as json

html_url issue_url id node_id user created_at updated_at author_association body reactions performed_via_github_app issue
https://github.com/pydata/xarray/issues/4142#issuecomment-642669071 https://api.github.com/repos/pydata/xarray/issues/4142 642669071 MDEyOklzc3VlQ29tbWVudDY0MjY2OTA3MQ== 8699967 2020-06-11T13:54:33Z 2020-06-11T14:05:49Z CONTRIBUTOR

In rioxarray we updated open_rasterio so it opens a tif file like a DataArray and netcdf-like files as a dataset. It also loads in the metadata/tags as well:

NetCDF file as Dataset

python import rioxarray xds = rioxarray.open_rasterio("PLANET_SCOPE_3D.nc") <xarray.Dataset> Dimensions: (time: 2, x: 10, y: 10) Coordinates: * y (y) float64 8.085e+06 8.085e+06 ... 8.085e+06 8.085e+06 * x (x) float64 4.663e+05 4.663e+05 ... 4.663e+05 4.663e+05 * time (time) object 2016-12-19 10:27:29 2016-12-29 12:52:41.659696 spatial_ref int64 0 Data variables: blue (time, y, x) float64 6.611 5.581 0.3996 ... 3.491 5.056 3.368 green (time, y, x) float64 7.921 66.15 30.1 ... 21.76 27.29 18.41 Attributes: coordinates: spatial_ref

GeoTiff as DataArray

python rds = rioxarray.open_rasterio("test_albedo.tif") <xarray.DataArray (band: 1, y: 936, x: 745)> [697320 values with dtype=int8] Coordinates: * band (band) int64 1 * y (y) float64 4.225e+06 4.225e+06 ... 4.216e+06 4.216e+06 * x (x) float64 6.168e+05 6.168e+05 ... 6.242e+05 6.242e+05 spatial_ref int64 0 Attributes: transform: (10.0, 0.0, 616800.0, 0.0, -10.0, 4225260.0) _FillValue: -1.0 scale_factor: 1.0 add_offset: 0.0 long_name: Albedo dry - the estimated ratio of the incident short-wav... grid_mapping: spatial_ref

So, it could be modified to use as an engine in its current state.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   636493109