Scatter matrix

from __future__ import annotations

from gemseo import configure_logger
from gemseo import create_benchmark_dataset
from gemseo.post.dataset.scatter_plot_matrix import ScatterMatrix

configure_logger()

<RootLogger root (INFO)>

Load a dataset

iris = create_benchmark_dataset("IrisDataset")

Plot scatter matrix

We can use the ScatterMatrix plot where each non-diagonal block represents the samples according to the x- and y- coordinates names while the diagonal ones approximate the probability distributions of the variables, using either an histogram or a kernel-density estimator.

ScatterMatrix(iris, classifier="specy").execute(save=False, show=True)

/home/docs/checkouts/readthedocs.org/user_builds/gemseo/envs/develop/lib/python3.9/site-packages/gemseo/post/dataset/scatter_plot_matrix.py:137: UserWarning: To output multiple subplots, the figure containing the passed axes is being cleared.
  sub_axes = scatter_matrix(

[<Figure size 640x480 with 16 Axes>]