ts

plot_friedman_drift_data(n_samples, seed, change_point1, change_point2, constant=True, show=True, filename=None)

Plot the Friedman dataset with drifts at change_point1 and change_point2.

Parameters:

Name	Type	Description	Default
n_samples	int	Number of samples to generate.	required
seed	int	Seed for the random number generator.	required
change_point1	int	Index of the first drift point.	required
change_point2	int	Index of the second drift point.	required
constant	bool	If True, the drifts are constant. Defaults to True.	True
filename	str	Name of the file to save the plot. Defaults to None.	None

Returns:

Type	Description
None	None

Examples:

>>> from spotpython.plot.ts import plot_friedman_drift_data
>>> plot_friedman_drift_data(n_samples=100, seed=42, change_point1=50, change_point2=75, constant=False)
>>> plot_friedman_drift_data(n_samples=100, seed=42, change_point1=50, change_point2=75, constant=True)

Source code in spotpython/plot/ts.py

def plot_friedman_drift_data(n_samples, seed, change_point1, change_point2, constant=True, show=True, filename=None) -> None:
    """Plot the Friedman dataset with drifts at change_point1 and change_point2.

    Args:
        n_samples (int):
            Number of samples to generate.
        seed (int):
            Seed for the random number generator.
        change_point1 (int):
            Index of the first drift point.
        change_point2 (int):
            Index of the second drift point.
        constant (bool, optional):
            If True, the drifts are constant. Defaults to True.
        filename (str, optional):
            Name of the file to save the plot. Defaults to None.

    Returns:
        None

    Examples:
        >>> from spotpython.plot.ts import plot_friedman_drift_data
        >>> plot_friedman_drift_data(n_samples=100, seed=42, change_point1=50, change_point2=75, constant=False)
        >>> plot_friedman_drift_data(n_samples=100, seed=42, change_point1=50, change_point2=75, constant=True)
    """
    data_generator = FriedmanDriftDataset(n_samples=n_samples, seed=seed, change_point1=change_point1, change_point2=change_point2, constant=constant)
    data = [data for data in data_generator]
    indices = [i for _, _, i in data]
    values = {f"x{i}": [] for i in range(6)}
    values["y"] = []
    for x, y, _ in data:
        for i in range(6):
            values[f"x{i}"].append(x[i])
        values["y"].append(y)

    plt.figure(figsize=(10, 6))
    for label, series in values.items():
        plt.plot(indices, series, label=label)
    plt.xlabel("Index")
    plt.ylabel("Value")
    plt.axvline(x=change_point1, color="k", linestyle="--", label="Drift Point 1")
    plt.axvline(x=change_point2, color="r", linestyle="--", label="Drift Point 2")
    plt.legend()
    plt.grid(True)
    if filename is not None:
        plt.savefig(filename)
    if show:
        plt.show()