arviz.convert_to_dataset(obj, *, group='posterior', coords=None, dims=None)[source]#

Convert a supported object to an xarray dataset.

This function is idempotent, in that it will return xarray.Dataset functions unchanged. Raises ValueError if the desired group can not be extracted.

Note this goes through a DataInference object. See convert_to_inference_data for more details. Raises ValueError if it can not work out the desired conversion.

objdict, str, np.ndarray, xr.Dataset, pystan fit, pymc3 trace

A supported object to convert to InferenceData:

  • InferenceData: returns unchanged

  • str: Attempts to load the netcdf dataset from disk

  • pystan fit: Automatically extracts data

  • pymc3 trace: Automatically extracts data

  • xarray.Dataset: adds to InferenceData as only group

  • xarray.DataArray: creates an xarray dataset as the only group, gives the array an arbitrary name, if name not set

  • dict: creates an xarray dataset as the only group

  • numpy array: creates an xarray dataset as the only group, gives the array an arbitrary name


If obj is a dict or numpy array, assigns the resulting xarray dataset to this group.

coordsdict[str, iterable]

A dictionary containing the values that are used as index. The key is the name of the dimension, the values are the index values.

dimsdict[str, List(str)]

A mapping from variables to a list of coordinate names for the variable