scatter_plot_matrix module¶
Scatter matrix¶
The ScatterMatrix class implements the scatter plot matrix,
which is a way to visualize \(n\) samples of a
multi-dimensional vector
\[x=(x_1,x_2,\ldots,x_d)\in\mathbb{R}^d\]
in several 2D subplots where the (i,j) subplot represents the cloud of points
\[\left(x_i^{(k)},x_j^{(k)}\right)_{1\leq k \leq n}\]
while the (i,i) subplot represents the empirical distribution of the samples
\[x_i^{(1)},\ldots,x_i^{(n)}\]
by means of an histogram or a kernel density estimator.
A variable name can be passed to the DatasetPlot.execute() method
by means of the classifier keyword in order to color the curves
according to the value of the variable name. This is useful when the data is
labeled.
-
class
gemseo.post.dataset.scatter_plot_matrix.ScatterMatrix(dataset)[source]¶ Bases:
gemseo.post.dataset.dataset_plot.DatasetPlotScatter plot matrix.
Constructor.
- Parameters
dataset (Dataset) – dataset