Plot - Scatter matrix

from __future__ import annotations

from gemseo.api import configure_logger
from gemseo.api import load_dataset
from import ScatterMatrix

<RootLogger root (INFO)>

Load a dataset

iris = load_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)
plot scatter matrix
/home/docs/checkouts/ 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 1.196 seconds)

Gallery generated by Sphinx-Gallery