arviz.from_netcdf#
- arviz.from_netcdf(filename, *, engine='h5netcdf', group_kwargs=None, regex=False)[source]#
Load netcdf file back into an arviz.InferenceData.
- Parameters
- filename
str
name or path of the file to load trace
- engine{“h5netcdf”, “netcdf4”}, default “h5netcdf”
Library used to read the netcdf file.
- group_kwargs
dict
of {str:dict
} Keyword arguments to be passed into each call of
xarray.open_dataset()
. The keys of the higher level should be group names or regex matching group names, the inner dicts re passed toopen_dataset
. This feature is currently experimental- regex
str
Specifies where regex search should be used to extend the keyword arguments.
- filename
- Returns
Notes
By default, the datasets of the InferenceData object will be lazily loaded instead of loaded into memory. This behaviour is regulated by the value of
az.rcParams["data.load"]
.