sklearn.datasets.make_circles(n_samples=100, *, shuffle=True, noise=None, random_state=None, factor=0.8)[source]

Make a large circle containing a smaller circle in 2d.

A simple toy dataset to visualize clustering and classification algorithms.

Read more in the User Guide.

n_samplesint or tuple of 2 int, default=100

If int, it is the total number of points generated. For odd numbers, the inner circle will have one point more than the outer circle. If two-element tuple, number of points in outer circle and inner circle.

shufflebool, default=True

Whether to shuffle the samples.

noisefloat, default=None

Standard deviation of Gaussian noise added to the data.

random_stateint or RandomState instance, default=None

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

factorfloat, default=.8

Scale factor between inner and outer circle in the range (0, 1).

Xarray of shape [n_samples, 2]

The generated samples.

yarray of shape [n_samples]

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