Data

Inference library converters

from_cmdstan([posterior, ...])	Convert CmdStan data into an InferenceData object.
from_cmdstanpy([posterior, ...])	Convert CmdStanPy data into an InferenceData object.
from_emcee([sampler, var_names, slices, ...])	Convert emcee data into an InferenceData object.
from_numpyro([posterior, prior, ...])	Convert NumPyro data into an InferenceData object.
from_pyjags([posterior, prior, ...])	Convert PyJAGS posterior samples to an ArviZ inference data object.
from_pymc3([trace, prior, ...])	Convert pymc3 data into an InferenceData object.
from_pymc3_predictions(predictions[, ...])	Translate out-of-sample predictions into InferenceData.
from_pyro([posterior, prior, ...])	Convert Pyro data into an InferenceData object.
from_pystan([posterior, ...])	Convert PyStan data into an InferenceData object.

IO / General conversion

convert_to_inference_data(obj, *[, group, ...])	Convert a supported object to an InferenceData object.
convert_to_dataset(obj, *[, group, coords, dims])	Convert a supported object to an xarray dataset.
dict_to_dataset(data, *[, attrs, library, ...])	Convert a dictionary of numpy arrays to an xarray.Dataset.
from_dict([posterior, posterior_predictive, ...])	Convert Dictionary data into an InferenceData object.
from_json(filename)	Initialize object from a json file.
from_netcdf(filename[, group_kwargs, regex])	Load netcdf file back into an arviz.InferenceData.
to_netcdf(data, filename, *[, group, ...])	Save dataset as a netcdf file.

General functions

concat()	Concatenate InferenceData objects.
extract_dataset(data[, group, combined, ...])	Extract an InferenceData group or subset of it as a xarray.Dataset.

Data examples

list_datasets()	Get a string representation of all available datasets with descriptions.
load_arviz_data([dataset, data_home, regex])	Load a local or remote pre-made dataset.

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