Note
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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>]
Total running time of the script: ( 0 minutes 0.774 seconds)