Data — ArviZ dev documentation (original) (raw)
Inference library converters#
| from_beanmachine([sampler, coords, dims]) | Convert Bean Machine MonteCarloSamples object into an InferenceData object. |
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| 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_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. |
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| convert_to_dataset(obj, *[, group, coords, dims]) | Convert a supported object to an xarray dataset. |
| dict_to_dataset(data, *[, attrs, library, ...]) | Convert a dictionary or pytree of numpy arrays to an xarray.Dataset. |
| from_datatree(datatree) | Create an InferenceData object from a DataTree. |
| from_dict([posterior, posterior_predictive, ...]) | Convert Dictionary data into an InferenceData object. |
| from_json(filename) | Initialize object from a json file. |
| from_netcdf(filename, *[, engine, ...]) | Load netcdf file back into an arviz.InferenceData. |
| to_datatree(data) | Convert InferenceData object to a DataTree. |
| to_json(idata, filename) | Save dataset as a json file. |
| to_netcdf(data, filename, *[, group, ...]) | Save dataset as a netcdf file. |
| from_zarr(store) | Initialize object from a zarr store or path. |
| to_zarr(data[, store]) | Convert data to zarr, optionally saving to disk if store is provided. |
General functions#
| concat(*args[, dim, copy, inplace, reset_dim]) | Concatenate InferenceData objects. |
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| extract(data[, group, combined, var_names, ...]) | Extract an InferenceData group or subset of it. |
Data examples#
| list_datasets() | Get a string representation of all available datasets with descriptions. |
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| load_arviz_data([dataset, data_home]) | Load a local or remote pre-made dataset. |