distribution()

audplot.distribution(truth, prediction, *, ax=None)

Distribution of truth and predicted values.

Parameters

• truth (Union[Sequence, Series]) – truth values

• prediction (Union[Sequence, Series]) – predicted values

• ax (Optional[Axes]) – pre-existing axes for the plot. Otherwise, calls matplotlib.pyplot.gca() internally

Examples

>>> np.random.seed(0)
>>> truth = np.random.normal(loc=0.0, scale=1.0, size=1000)
>>> prediction = np.random.normal(loc=0.05, scale=0.5, size=1000)
>>> distribution(truth, prediction)