wradlib.io.xarray.CfRadial¶
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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
- 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
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Assign from CfRadial1 data structure. |
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Assign from CfRadial2 data structure. |
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Georeference sweeps |
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If key is not found, d is returned if given, otherwise KeyError is raised. |
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as a 2-tuple; but raise KeyError if D is empty. |
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Save volume to CfRadial2.0 compliant file. |
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Save volume to ODIM_H5/V2_2 compliant file. |
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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 |
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Return CF/ODIM Conventions. |
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Return location of data source. |
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Return root dataset. |
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Return sweep dimension count. |
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Return zip sweep names, sweep_angles |
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Return CF/ODIM version |