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Showing content from https://python.arviz.org/en/latest/api/generated/arviz.InferenceData.__init__.html below:

arviz.InferenceData.__init__ — ArviZ dev documentation

InferenceData.__init__(attrs=None, warn_on_custom_groups=False, **kwargs)[source]#

Initialize InferenceData object from keyword xarray datasets.

Parameters:

attrsdict

sets global attribute for InferenceData object.

warn_on_custom_groupsbool, default False

Emit a warning when custom groups are present in the InferenceData. “custom group” means any group whose name isn’t defined in InferenceData schema specification

kwargs

Keyword arguments of xarray datasets

Examples

Initiate an InferenceData object from scratch, not recommended. InferenceData objects should be initialized using from_xyz methods, see Data for more details.

In [1]: import arviz as az
   ...: import numpy as np
   ...: import xarray as xr
   ...: dataset = xr.Dataset(
   ...:     {
   ...:         "a": (["chain", "draw", "a_dim"], np.random.normal(size=(4, 100, 3))),
   ...:         "b": (["chain", "draw"], np.random.normal(size=(4, 100))),
   ...:     },
   ...:     coords={
   ...:         "chain": (["chain"], np.arange(4)),
   ...:         "draw": (["draw"], np.arange(100)),
   ...:         "a_dim": (["a_dim"], ["x", "y", "z"]),
   ...:     }
   ...: )
   ...: idata = az.InferenceData(posterior=dataset, prior=dataset)
   ...: idata
   ...: 
Out[1]: 
Inference data with groups:
	> posterior
	> prior

We have created an InferenceData object with two groups. Now we can check its contents:

In [2]: idata.posterior
Out[2]: 
<xarray.Dataset> Size: 14kB
Dimensions:  (chain: 4, draw: 100, a_dim: 3)
Coordinates:
  * chain    (chain) int64 32B 0 1 2 3
  * draw     (draw) int64 800B 0 1 2 3 4 5 6 7 8 ... 91 92 93 94 95 96 97 98 99
  * a_dim    (a_dim) <U1 12B 'x' 'y' 'z'
Data variables:
    a        (chain, draw, a_dim) float64 10kB -0.6729 0.3382 ... 0.4545 0.5901
    b        (chain, draw) float64 3kB -1.39 0.03695 0.135 ... -0.01543 -0.03095

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