plot_cumulative

pymc_marketing.bass.plotting.plot_cumulative(model, dim=None, coord=None, n_samples=10, hdi_probs=None, random_seed=None, subplot_kwargs=None, axes=None)

Plot the cumulative adoption S-curve with the observed data.

Shows posterior samples and HDI of the cumulative sum of the adopters deterministic over time, with the observed cumulative counts in black.

Parameters:

modelBassModel

A fitted Bass model.

dimstr, optional

Dimension to facet over. Inferred from the fitted data when not given (the non-time, non-sample dimension).

coordstr, optional

Plot a single coordinate along dim. Default plots one subplot per coordinate.

n_samplesint, optional

Number of posterior sample curves to draw. Default is 10.

hdi_probsfloat or list of float, optional

HDI probabilities. Defaults to the ArviZ default (0.94).

random_seednp.random.Generator, optional

Random number generator for sample selection.

subplot_kwargsdict, optional

Additional kwargs for the subplot creation, e.g. figsize.

axesndarray of Axes, optional

Existing axes to plot on.

Returns:

tuple[Figure, ndarray of Axes]

Figure and the axes.