sklearn.datasets.make_moons

sklearn.datasets.make_moons(n_samples=100, shuffle=True, noise=None, random_state=None)

Make two interleaving half circles

A simple toy dataset to visualize clustering and classification algorithms. Read more in the User Guide.

Parameters:

n_samples : int, optional (default=100)

The total number of points generated.

shuffle : bool, optional (default=True)

Whether to shuffle the samples.

noise : double or None (default=None)

Standard deviation of Gaussian noise added to the data.

random_state : int, RandomState instance or None (default)

Determines random number generation for dataset shuffling and noise. Pass an int for reproducible output across multiple function calls. See Glossary.

Returns:

X : array of shape [n_samples, 2]

The generated samples.

y : array of shape [n_samples]

The integer labels (0 or 1) for class membership of each sample.