OdimH5.assign_data(filename, flavour=None, **kwargs)

Assign xarray dataset from hdf5 data structure.

  • filename (str) – Source data file name.
  • flavour (str) – Name of hdf5 flavour (‘ODIM’ or ‘GAMIC’). Defaults to ‘ODIM’.
Keyword Arguments:
  • decode_times (bool) – If True, decode cf times to np.datetime64. Defaults to True.
  • decode_coords (bool) – If True, use the ‘coordinates’ attribute on variable to assign coordinates. Defaults to True.
  • mask_and_scale (bool) – If True, lazily scale (using scale_factor and add_offset) and mask (using _FillValue). Defaults to True.
  • chunks (int | dict, optional) – If chunks is provided, it used to load the new dataset into dask arrays. chunks={} loads the dataset with dask using a single chunk for all arrays.
  • georef (bool) – If True, adds 2D AEQD x,y,z-coordinates, ground_range (gr) and 2D (rays,bins)-coordinates for easy georeferencing (eg. cartopy). Defaults to False.
  • standard (str) –
    • none - data is read as verbatim as possible, no metadata
    • odim - data is read, odim metadata added to datasets
    • cf-mandatory - data is read according to cfradial2 standard importing mandatory metadata, default value
    • cf-full - data is read according to cfradial2 standard importing all available cfradial2 metadata (not fully implemented)
  • dim0 (str) –
    name of the ray-dimension of DataArrays and Dataset:
    • time - cfradial2 standard, default value
    • azimuth - better for working with xarray