WeeklyFourier.plot_curve

WeeklyFourier.plot_curve(curve, n_samples=10, hdi_probs=None, random_seed=None, subplot_kwargs=None, sample_kwargs=None, hdi_kwargs=None, axes=None, same_axes=False, colors=None, legend=None, sel_to_string=None)

Plot the seasonality for one full period.

Parameters:

curvexr.DataArray

Sampled full period of the fourier seasonality.

n_samplesint, optional

Number of samples

hdi_probsfloat | list[float], optional

HDI probabilities. Defaults to None which uses arviz default for stats.ci_prob which is 94%

random_seedint | random number generator, optional

Random number generator. Defaults to None

subplot_kwargsdict, optional

Keyword arguments for the subplot, by default None

sample_kwargsdict, optional

Keyword arguments for the plot_full_period_samples method, by default None

hdi_kwargsdict, optional

Keyword arguments for the plot_full_period_hdi method, by default None

axesnpt.NDArray[plt.Axes], optional

Matplotlib axes, by default None

same_axesbool, optional

Use the same axes for all plots, by default False

colorsIterable[str], optional

Colors for the different plots, by default None

legendbool, optional

Show the legend, by default None

sel_to_stringSelToString, optional

Function to convert the selection to a string, by default None

Returns:

tuple[plt.Figure, npt.NDArray[plt.Axes]]

Matplotlib figure and axes.