pairs_samples

bayesflow.diagnostics.pairs_samples(samples: Mapping[str, ndarray] | ndarray = None, variable_keys: Sequence[str] = None, variable_names: Sequence[str] = None, height: float = 2.5, color: str | tuple = '#132a70', alpha: float = 0.9, label_fontsize: int = 14, tick_fontsize: int = 12, **kwargs) → PairGrid

A more flexible pair plot function for multiple distributions based upon collected samples.

Parameters:

samplesdict[str, Tensor], default: None

Sample draws from any dataset

variable_keyslist or None, optional, default: None

Select keys from the dictionary provided in samples. By default, select all keys.

variable_nameslist or None, optional, default: None

The parameter names for nice plot titles. Inferred if None

heightfloat, optional, default: 2.5

The height of the pair plot

colorstr, optional, default‘#8f2727’

The color of the plot

alphafloat in [0, 1], optional, default: 0.9

The opacity of the plot

label_fontsizeint, optional, default: 14

The font size of the x and y-label texts (parameter names)

tick_fontsizeint, optional, default: 12

The font size of the axis ticklabels

**kwargsdict, optional

Additional keyword arguments passed to the sns.PairGrid constructor