arviz.from_netcdf

arviz.from_netcdf(filename, *, engine='h5netcdf', group_kwargs=None, regex=False)

Load netcdf file back into an arviz.InferenceData.

Parameters:

filenamestr

name or path of the file to load trace

engine{“h5netcdf”, “netcdf4”}, default “h5netcdf”

Library used to read the netcdf file.

group_kwargsdict 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 to open_dataset. This feature is currently experimental

regexstr

Specifies where regex search should be used to extend the keyword arguments.

Returns:

InferenceData object

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"].