wradlib.io.xarray.CfRadial

class wradlib.io.xarray.CfRadial(filename=None, flavour=None, **kwargs)

Class for xarray based retrieval of CfRadial data files

Initialize xarray structure from Cf/Radial data structure.

Parameters

  • filename (str) – Source data file name.

  • flavour (str) – Name of flavour (‘Cf/Radial’ or ‘Cf/Radial2’).

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)

  • dim0 (str) –

    name of the ray-dimension of DataArrays and Dataset:

    • time - cfradial2 standard

    • azimuth - better for working with xarray

Deprecated since version 1.10: This will be removed in 2.0. Use xarray BackendEntrypoint based functionality instead.

assign_data_radial(nch, **kwargs)

Assign from CfRadial1 data structure.

assign_data_radial2(nch, **kwargs)

Assign from CfRadial2 data structure.

clear()

georeference([sweeps])

Georeference sweeps

get(k[,d])

items()

keys()

pop(k[,d])

If key is not found, d is returned if given, otherwise KeyError is raised.

popitem()

as a 2-tuple; but raise KeyError if D is empty.

setdefault(k[,d])

to_cfradial2(filename)

Save volume to CfRadial2.0 compliant file.

to_odim(filename)

Save volume to ODIM_H5/V2_2 compliant file.

update([E, ]**F)

If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

values()

Conventions

Return CF/ODIM Conventions.

location

Return location of data source.

root

Return root dataset.

sweep

Return sweep dimension count.

sweep_angles

sweep_names

sweeps

Return zip sweep names, sweep_angles

version

Return CF/ODIM version