Plotting a dataset¶

A factory to create instances of DatasetPlot.

The module factory contains the DatasetPlotFactory class which is a factory to instantiate a DatasetPlot from its class name. The class can be internal to GEMSEO or located in an external module whose path is provided to the constructor. It also provides a list of available cache types and allows you to test if a cache type is available.

class gemseo.post.dataset.factory.DatasetPlotFactory[source]

This factory instantiates a DatasetPlot from its class name.

create(plot_name, dataset, **options)[source]

Create a plot for dataset.

Parameters:

plot_name (str) – The name of a plot method for dataset (its class name).
dataset (Dataset) – The dataset to visualize.
options – The additional options specific to this plot method.

Returns:

A plot method built from the provided dataset.

Return type:

DatasetPlot

is_available(plot_name)[source]

Check the availability of a plot for dataset.

Parameters:: plot_name (str) – The name of a plot method for dataset (its class name).
Returns:: True if the plot method is available.
Return type:: bool

property plots: list[str]: The available plot methods for dataset.

An abstract class to plot data from a Dataset.

The dataset_plot module implements the abstract DatasetPlot class whose purpose is to build a graphical representation of a Dataset and to display it on screen or save it to a file.

This abstract class has to be overloaded by concrete ones implementing at least method DatasetPlot._run().

class gemseo.post.dataset.dataset_plot.DatasetPlot(dataset, **kwargs)[source]

Abstract class for plotting a dataset.

Parameters:

dataset (Dataset) – The dataset containing the data to plot.
kwargs (Any) –

Raises:

ValueError – If the dataset is empty.

execute(save=True, show=False, file_path=None, directory_path=None, file_name=None, file_format=None, properties=None, fig=None, axes=None, **plot_options)[source]

Execute the post processing.

Parameters:

save (bool) –
If True, save the plot.

By default it is set to True.
show (bool) –
If True, display the plot.

By default it is set to False.
file_path (str | Path | None) – The path of the file to save the figures. If None, create a file path from directory_path, file_name and file_format.
directory_path (str | Path | None) – The path of the directory to save the figures. If None, use the current working directory.
file_name (str | None) – The name of the file to save the figures. If None, use a default one generated by the post-processing.
file_format (str | None) – A file format, e.g. ‘png’, ‘pdf’, ‘svg’, … If None, use a default file extension.
properties (Mapping[str, DatasetPlotPropertyType] | None) – The general properties of a DatasetPlot.
fig (None | Figure) – The figure to plot the data. If None, create a new one.
axes (None | Axes) – The axes to plot the data. If None, create new ones.
**plot_options – The options of the current class inheriting from DatasetPlot.

Returns:

The figures.

Raises:

AttributeError – When the name of a property is not the name of an attribute.

Return type:

list[Figure]

color: str | list[str]

The color(s) for the series.

If empty, use a default one.

colormap: str: The color map.

dataset: Dataset: The dataset to be plotted.

fig_size: tuple[float, float]: The figure size.

property fig_size_x: float: The x-component of figure size.

property fig_size_y: float: The y-component of figure size.

font_size: int: The font size.

property labels: Mapping[str, str]: The labels of the variables.

legend_location: str: The location of the legend.

linestyle: str | list[str]

The line style(s) for the series.

If empty, use a default one.

marker: str | list[str]

The marker(s) for the series.

If empty, use a default one.

property output_files: list[str]: The paths to the output files.

title: str: The title of the plot.

xlabel: str: The label for the x-axis.

xmax: float | None

The maximum value on the x-axis.”

If None, compute it from data.

xmin: float | None

The minimum value on the x-axis.

If None, compute it from data.

ylabel: str: The label for the y-axis.

ymax: float | None

The maximum value on the y-axis.

If None, compute it from data.

ymin: float | None

The minimum value on the y-axis.

If None, compute it from data.

zlabel: str: The label for the z-axis.

zmax: float | None

The maximum value on the z-axis.

If None, compute it from data.

zmin: float | None

The minimum value on the z-axis.

If None, compute it from data.

Draw Andrews curves from a Dataset.

The AndrewsCurves class implements the Andrew plot, a.k.a. Andrews curves, which is a way to visualize \(n\) samples of a high-dimensional vector

\[x=(x_1,x_2,\ldots,x_d)\in\mathbb{R}^d\]

in a 2D referential by projecting each sample

\[x^{(i)}=(x_1^{(i)},x_2^{(i)},\ldots,x_d^{(i)})\]

onto the vector

\[\left(\frac{1}{\sqrt{2}},\sin(t),\cos(t),\sin(2t),\cos(2t), \ldots\right)\]

which is composed of the \(d\) first elements of the Fourier series:

\[f_i(t)=\left(\frac{x_1^{(i)}}{\sqrt{2}},x_2^{(i)}\sin(t),x_3^{(i)}\cos(t), x_4^{(i)}\sin(2t),x_5^{(i)}\cos(2t),\ldots\right)\]

Each curve \(t\mapsto f_i(t)\) is plotted over the interval \([-\pi,\pi]\) and structure in the data may be visible in these \(n\) Andrews curves.

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.andrews_curves.AndrewsCurves(dataset, classifier)[source]

Andrews curves.

Parameters:

dataset (Dataset) – The dataset containing the data to plot.
classifier (str) – The name of the variable to group the data.

Raises:

ValueError – If the dataset is empty.

execute(save=True, show=False, file_path=None, directory_path=None, file_name=None, file_format=None, properties=None, fig=None, axes=None, **plot_options)

Execute the post processing.

Parameters:

save (bool) –
If True, save the plot.

By default it is set to True.
show (bool) –
If True, display the plot.

By default it is set to False.
file_path (str | Path | None) – The path of the file to save the figures. If None, create a file path from directory_path, file_name and file_format.
directory_path (str | Path | None) – The path of the directory to save the figures. If None, use the current working directory.
file_name (str | None) – The name of the file to save the figures. If None, use a default one generated by the post-processing.
file_format (str | None) – A file format, e.g. ‘png’, ‘pdf’, ‘svg’, … If None, use a default file extension.
properties (Mapping[str, DatasetPlotPropertyType] | None) – The general properties of a DatasetPlot.
fig (None | Figure) – The figure to plot the data. If None, create a new one.
axes (None | Axes) – The axes to plot the data. If None, create new ones.
**plot_options – The options of the current class inheriting from DatasetPlot.

Returns:

The figures.

Raises:

AttributeError – When the name of a property is not the name of an attribute.

Return type:

list[Figure]

color: str | list[str]

The color(s) for the series.

If empty, use a default one.

colormap: str: The color map.

dataset: Dataset: The dataset to be plotted.

fig_size: tuple[float, float]: The figure size.

property fig_size_x: float: The x-component of figure size.

property fig_size_y: float: The y-component of figure size.

font_size: int: The font size.

property labels: Mapping[str, str]: The labels of the variables.

legend_location: str: The location of the legend.

linestyle: str | list[str]

The line style(s) for the series.

If empty, use a default one.

marker: str | list[str]

The marker(s) for the series.

If empty, use a default one.

property output_files: list[str]: The paths to the output files.

title: str: The title of the plot.

xlabel: str: The label for the x-axis.

xmax: float | None

The maximum value on the x-axis.”

If None, compute it from data.

xmin: float | None

The minimum value on the x-axis.

If None, compute it from data.

ylabel: str: The label for the y-axis.

ymax: float | None

The maximum value on the y-axis.

If None, compute it from data.

ymin: float | None

The minimum value on the y-axis.

If None, compute it from data.

zlabel: str: The label for the z-axis.

zmax: float | None

The maximum value on the z-axis.

If None, compute it from data.

zmin: float | None

The minimum value on the z-axis.

If None, compute it from data.

Draw curves from a Dataset.

A Curves plot represents samples of a functional variable \(y(x)\) discretized over a 1D mesh. Both evaluations of \(y\) and mesh are stored in a Dataset, \(y\) as a parameter and the mesh as a metadata.

class gemseo.post.dataset.curves.Curves(dataset, mesh, variable, samples=None)[source]

Plot curves y_i over the mesh x.

Parameters:

dataset (Dataset) – The dataset containing the data to plot.
mesh (str) – The name of the dataset metadata corresponding to the mesh.
variable (str) – The name of the variable for the x-axis.
samples (Sequence[int] | None) – The indices of the samples to plot. If None, plot all the samples.

Raises:

ValueError – If the dataset is empty.

execute(save=True, show=False, file_path=None, directory_path=None, file_name=None, file_format=None, properties=None, fig=None, axes=None, **plot_options)

Execute the post processing.

Parameters:

save (bool) –
If True, save the plot.

By default it is set to True.
show (bool) –
If True, display the plot.

By default it is set to False.
file_path (str | Path | None) – The path of the file to save the figures. If None, create a file path from directory_path, file_name and file_format.
directory_path (str | Path | None) – The path of the directory to save the figures. If None, use the current working directory.
file_name (str | None) – The name of the file to save the figures. If None, use a default one generated by the post-processing.
file_format (str | None) – A file format, e.g. ‘png’, ‘pdf’, ‘svg’, … If None, use a default file extension.
properties (Mapping[str, DatasetPlotPropertyType] | None) – The general properties of a DatasetPlot.
fig (None | Figure) – The figure to plot the data. If None, create a new one.
axes (None | Axes) – The axes to plot the data. If None, create new ones.
**plot_options – The options of the current class inheriting from DatasetPlot.

Returns:

The figures.

Raises:

AttributeError – When the name of a property is not the name of an attribute.

Return type:

list[Figure]

color: str | list[str]

The color(s) for the series.

If empty, use a default one.

colormap: str: The color map.

dataset: Dataset: The dataset to be plotted.

fig_size: tuple[float, float]: The figure size.

property fig_size_x: float: The x-component of figure size.

property fig_size_y: float: The y-component of figure size.

font_size: int: The font size.

property labels: Mapping[str, str]: The labels of the variables.

legend_location: str: The location of the legend.

linestyle: str | list[str]

The line style(s) for the series.

If empty, use a default one.

marker: str | list[str]

The marker(s) for the series.

If empty, use a default one.

property output_files: list[str]: The paths to the output files.

title: str: The title of the plot.

xlabel: str: The label for the x-axis.

xmax: float | None

The maximum value on the x-axis.”

If None, compute it from data.

xmin: float | None

The minimum value on the x-axis.

If None, compute it from data.

ylabel: str: The label for the y-axis.

ymax: float | None

The maximum value on the y-axis.

If None, compute it from data.

ymin: float | None

The minimum value on the y-axis.

If None, compute it from data.

zlabel: str: The label for the z-axis.

zmax: float | None

The maximum value on the z-axis.

If None, compute it from data.

zmin: float | None

The minimum value on the z-axis.

If None, compute it from data.

Draw parallel coordinates from a Dataset.

The ParallelCoordinates class implements the parallel coordinates plot, a.k.a. cowebplot, which is a way to visualize \(n\) samples of a high-dimensional vector

\[x=(x_1,x_2,\ldots,x_d)\in\mathbb{R}^d\]

in a 2D referential by representing each sample

\[x^{(i)}=(x_1^{(i)},x_2^{(i)},\ldots,x_d^{(i)})\]

as a piece-wise line where the x-values of the nodes from left to right are the values of \(x_1\), \(x_2\), … and \(x_d^{(i)}\).

A variable name is required by 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 or when we are looking for the samples for which the classifier value is comprised in some interval specified by the lower and upper arguments (default values are set to -inf and inf respectively). In the latter case, the color scale is composed of only two values: one for the samples positively classified and one for the others.

class gemseo.post.dataset.parallel_coordinates.ParallelCoordinates(dataset, classifier, lower=-inf, upper=inf, **kwargs)[source]

Parallel coordinates.

Parameters:

dataset (Dataset) – The dataset containing the data to plot.
classifier (str) – The name of the variable to group the data.
lower (float) –
The lower bound of the cluster.

By default it is set to -inf.
upper (float) –
The upper bound of the cluster.

By default it is set to inf.
**kwargs – The description is missing.

Raises:

ValueError – If the dataset is empty.

execute(save=True, show=False, file_path=None, directory_path=None, file_name=None, file_format=None, properties=None, fig=None, axes=None, **plot_options)

Execute the post processing.

Parameters:

save (bool) –
If True, save the plot.

By default it is set to True.
show (bool) –
If True, display the plot.

By default it is set to False.
file_path (str | Path | None) – The path of the file to save the figures. If None, create a file path from directory_path, file_name and file_format.
directory_path (str | Path | None) – The path of the directory to save the figures. If None, use the current working directory.
file_name (str | None) – The name of the file to save the figures. If None, use a default one generated by the post-processing.
file_format (str | None) – A file format, e.g. ‘png’, ‘pdf’, ‘svg’, … If None, use a default file extension.
properties (Mapping[str, DatasetPlotPropertyType] | None) – The general properties of a DatasetPlot.
fig (None | Figure) – The figure to plot the data. If None, create a new one.
axes (None | Axes) – The axes to plot the data. If None, create new ones.
**plot_options – The options of the current class inheriting from DatasetPlot.

Returns:

The figures.

Raises:

AttributeError – When the name of a property is not the name of an attribute.

Return type:

list[Figure]

color: str | list[str]

The color(s) for the series.

If empty, use a default one.

colormap: str: The color map.

dataset: Dataset: The dataset to be plotted.

fig_size: tuple[float, float]: The figure size.

property fig_size_x: float: The x-component of figure size.

property fig_size_y: float: The y-component of figure size.

font_size: int: The font size.

property labels: Mapping[str, str]: The labels of the variables.

legend_location: str: The location of the legend.

linestyle: str | list[str]

The line style(s) for the series.

If empty, use a default one.

marker: str | list[str]

The marker(s) for the series.

If empty, use a default one.

property output_files: list[str]: The paths to the output files.

title: str: The title of the plot.

xlabel: str: The label for the x-axis.

xmax: float | None

The maximum value on the x-axis.”

If None, compute it from data.

xmin: float | None

The minimum value on the x-axis.

If None, compute it from data.

ylabel: str: The label for the y-axis.

ymax: float | None

The maximum value on the y-axis.

If None, compute it from data.

ymin: float | None

The minimum value on the y-axis.

If None, compute it from data.

zlabel: str: The label for the z-axis.

zmax: float | None

The maximum value on the z-axis.

If None, compute it from data.

zmin: float | None

The minimum value on the z-axis.

If None, compute it from data.

Draw a radar visualization from a Dataset.

The Radar class implements the Radviz plot, 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 a 2D referential and to highlight the separability of the data.

For that, each sample

\[x^{(i)}=(x_1^{(i)},x_2^{(i)},\ldots,x_d^{(i)})\]

is rendered inside the unit disc with the influences of the different parameters evenly distributed on its circumference. Each parameter influence varies from 0 to 1 and can be interpreted compared to the others.

class gemseo.post.dataset.radviz.Radar(dataset, classifier)[source]

Radar visualization.

Parameters:

dataset (Dataset) – The dataset containing the data to plot.
classifier (str) – The name of the variable to group the data.

Raises:

ValueError – If the dataset is empty.

execute(save=True, show=False, file_path=None, directory_path=None, file_name=None, file_format=None, properties=None, fig=None, axes=None, **plot_options)

Execute the post processing.

Parameters:

save (bool) –
If True, save the plot.

By default it is set to True.
show (bool) –
If True, display the plot.

By default it is set to False.
file_path (str | Path | None) – The path of the file to save the figures. If None, create a file path from directory_path, file_name and file_format.
directory_path (str | Path | None) – The path of the directory to save the figures. If None, use the current working directory.
file_name (str | None) – The name of the file to save the figures. If None, use a default one generated by the post-processing.
file_format (str | None) – A file format, e.g. ‘png’, ‘pdf’, ‘svg’, … If None, use a default file extension.
properties (Mapping[str, DatasetPlotPropertyType] | None) – The general properties of a DatasetPlot.
fig (None | Figure) – The figure to plot the data. If None, create a new one.
axes (None | Axes) – The axes to plot the data. If None, create new ones.
**plot_options – The options of the current class inheriting from DatasetPlot.

Returns:

The figures.

Raises:

AttributeError – When the name of a property is not the name of an attribute.

Return type:

list[Figure]

color: str | list[str]

The color(s) for the series.

If empty, use a default one.

colormap: str: The color map.

dataset: Dataset: The dataset to be plotted.

fig_size: tuple[float, float]: The figure size.

property fig_size_x: float: The x-component of figure size.

property fig_size_y: float: The y-component of figure size.

font_size: int: The font size.

property labels: Mapping[str, str]: The labels of the variables.

legend_location: str: The location of the legend.

linestyle: str | list[str]

The line style(s) for the series.

If empty, use a default one.

marker: str | list[str]

The marker(s) for the series.

If empty, use a default one.

property output_files: list[str]: The paths to the output files.

title: str: The title of the plot.

xlabel: str: The label for the x-axis.

xmax: float | None

The maximum value on the x-axis.”

If None, compute it from data.

xmin: float | None

The minimum value on the x-axis.

If None, compute it from data.

ylabel: str: The label for the y-axis.

ymax: float | None

The maximum value on the y-axis.

If None, compute it from data.

ymin: float | None

The minimum value on the y-axis.

If None, compute it from data.

zlabel: str: The label for the z-axis.

zmax: float | None

The maximum value on the z-axis.

If None, compute it from data.

zmin: float | None

The minimum value on the z-axis.

If None, compute it from data.

Draw a scatter matrix from a Dataset.

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.

class gemseo.post.dataset.scatter_plot_matrix.ScatterMatrix(dataset, variable_names=None, classifier=None, kde=False, size=25, marker='o', plot_lower=True, plot_upper=True)[source]

Scatter plot matrix.

Parameters:

dataset (Dataset) – The dataset containing the data to plot.
variable_names (Sequence[str] | None) – The description is missing.
classifier (str | None) – The name of the variable to build the cluster.
kde (bool) –
The type of the distribution representation. If True, plot kernel-density estimator on the diagonal. Otherwise, use histograms.

By default it is set to False.
size (int) –
The size of the points.

By default it is set to 25.
marker (str) –
The marker for the points.

By default it is set to “o”.
plot_lower (bool) –
Whether to plot the lower part.

By default it is set to True.
plot_upper (bool) –
Whether to plot the upper part.

By default it is set to True.

Raises:

ValueError – If the dataset is empty.

execute(save=True, show=False, file_path=None, directory_path=None, file_name=None, file_format=None, properties=None, fig=None, axes=None, **plot_options)

Execute the post processing.

Parameters:

save (bool) –
If True, save the plot.

By default it is set to True.
show (bool) –
If True, display the plot.

By default it is set to False.
file_path (str | Path | None) – The path of the file to save the figures. If None, create a file path from directory_path, file_name and file_format.
directory_path (str | Path | None) – The path of the directory to save the figures. If None, use the current working directory.
file_name (str | None) – The name of the file to save the figures. If None, use a default one generated by the post-processing.
file_format (str | None) – A file format, e.g. ‘png’, ‘pdf’, ‘svg’, … If None, use a default file extension.
properties (Mapping[str, DatasetPlotPropertyType] | None) – The general properties of a DatasetPlot.
fig (None | Figure) – The figure to plot the data. If None, create a new one.
axes (None | Axes) – The axes to plot the data. If None, create new ones.
**plot_options – The options of the current class inheriting from DatasetPlot.

Returns:

The figures.

Raises:

AttributeError – When the name of a property is not the name of an attribute.

Return type:

list[Figure]

color: str | list[str]

The color(s) for the series.

If empty, use a default one.

colormap: str: The color map.

dataset: Dataset: The dataset to be plotted.

fig_size: tuple[float, float]: The figure size.

property fig_size_x: float: The x-component of figure size.

property fig_size_y: float: The y-component of figure size.

font_size: int: The font size.

property labels: Mapping[str, str]: The labels of the variables.

legend_location: str: The location of the legend.

linestyle: str | list[str]

The line style(s) for the series.

If empty, use a default one.

marker: str | list[str]

The marker(s) for the series.

If empty, use a default one.

property output_files: list[str]: The paths to the output files.

title: str: The title of the plot.

xlabel: str: The label for the x-axis.

xmax: float | None

The maximum value on the x-axis.”

If None, compute it from data.

xmin: float | None

The minimum value on the x-axis.

If None, compute it from data.

ylabel: str: The label for the y-axis.

ymax: float | None

The maximum value on the y-axis.

If None, compute it from data.

ymin: float | None

The minimum value on the y-axis.

If None, compute it from data.

zlabel: str: The label for the z-axis.

zmax: float | None

The maximum value on the z-axis.

If None, compute it from data.

zmin: float | None

The minimum value on the z-axis.

If None, compute it from data.

Draw a scatter plot from a Dataset.

A Scatter plot represents a set of points \(\{x_i,y_i\}_{1\leq i \leq n}\) as markers on a classical plot where the color of points can be heterogeneous.

class gemseo.post.dataset.scatter.Scatter(dataset, x, y, x_comp=0, y_comp=0)[source]

Plot curve y versus x.

Parameters:

dataset (Dataset) – The dataset containing the data to plot.
x (str) – The name of the variable on the x-axis.
y (str) – The name of the variable on the y-axis.
x_comp (str) –
The component of x.

By default it is set to 0.
y_comp (str) –
The component of y.

By default it is set to 0.

Raises:

ValueError – If the dataset is empty.

execute(save=True, show=False, file_path=None, directory_path=None, file_name=None, file_format=None, properties=None, fig=None, axes=None, **plot_options)

Execute the post processing.

Parameters:

save (bool) –
If True, save the plot.

By default it is set to True.
show (bool) –
If True, display the plot.

By default it is set to False.
file_path (str | Path | None) – The path of the file to save the figures. If None, create a file path from directory_path, file_name and file_format.
directory_path (str | Path | None) – The path of the directory to save the figures. If None, use the current working directory.
file_name (str | None) – The name of the file to save the figures. If None, use a default one generated by the post-processing.
file_format (str | None) – A file format, e.g. ‘png’, ‘pdf’, ‘svg’, … If None, use a default file extension.
properties (Mapping[str, DatasetPlotPropertyType] | None) – The general properties of a DatasetPlot.
fig (None | Figure) – The figure to plot the data. If None, create a new one.
axes (None | Axes) – The axes to plot the data. If None, create new ones.
**plot_options – The options of the current class inheriting from DatasetPlot.

Returns:

The figures.

Raises:

AttributeError – When the name of a property is not the name of an attribute.

Return type:

list[Figure]

color: str | list[str]

The color(s) for the series.

If empty, use a default one.

colormap: str: The color map.

dataset: Dataset: The dataset to be plotted.

fig_size: tuple[float, float]: The figure size.

property fig_size_x: float: The x-component of figure size.

property fig_size_y: float: The y-component of figure size.

font_size: int: The font size.

property labels: Mapping[str, str]: The labels of the variables.

legend_location: str: The location of the legend.

linestyle: str | list[str]

The line style(s) for the series.

If empty, use a default one.

marker: str | list[str]

The marker(s) for the series.

If empty, use a default one.

property output_files: list[str]: The paths to the output files.

title: str: The title of the plot.

xlabel: str: The label for the x-axis.

xmax: float | None

The maximum value on the x-axis.”

If None, compute it from data.

xmin: float | None

The minimum value on the x-axis.

If None, compute it from data.

ylabel: str: The label for the y-axis.

ymax: float | None

The maximum value on the y-axis.

If None, compute it from data.

ymin: float | None

The minimum value on the y-axis.

If None, compute it from data.

zlabel: str: The label for the z-axis.

zmax: float | None

The maximum value on the z-axis.

If None, compute it from data.

zmin: float | None

The minimum value on the z-axis.

If None, compute it from data.

Draw surfaces from a Dataset.

A Surfaces plot represents samples of a functional variable \(z(x,y)\) discretized over a 2D mesh. Both evaluations of \(z\) and mesh are stored in a Dataset, \(z\) as a parameter and the mesh as a metadata.

class gemseo.post.dataset.surfaces.Surfaces(dataset, mesh, variable, samples=None, add_points=False, fill=True, levels=None)[source]

Plot surfaces y_i over the mesh x.

Parameters:

dataset (Dataset) – The dataset containing the data to plot.
mesh (str) – The name of the dataset metadata corresponding to the mesh.
variable (str) – The name of the variable for the x-axis.
samples (Sequence[int] | None) – The indices of the samples to plot. If None, plot all samples.
add_points (bool) –
If True then display the samples over the surface plot.

By default it is set to False.
fill (bool) –
Whether to generate a filled contour plot.

By default it is set to True.
levels (int | Sequence[int]) – Either the number of contour lines or the values of the contour lines in increasing order. If None, select them automatically.

Raises:

ValueError – If the dataset is empty.

execute(save=True, show=False, file_path=None, directory_path=None, file_name=None, file_format=None, properties=None, fig=None, axes=None, **plot_options)

Execute the post processing.

Parameters:

save (bool) –
If True, save the plot.

By default it is set to True.
show (bool) –
If True, display the plot.

By default it is set to False.
file_path (str | Path | None) – The path of the file to save the figures. If None, create a file path from directory_path, file_name and file_format.
directory_path (str | Path | None) – The path of the directory to save the figures. If None, use the current working directory.
file_name (str | None) – The name of the file to save the figures. If None, use a default one generated by the post-processing.
file_format (str | None) – A file format, e.g. ‘png’, ‘pdf’, ‘svg’, … If None, use a default file extension.
properties (Mapping[str, DatasetPlotPropertyType] | None) – The general properties of a DatasetPlot.
fig (None | Figure) – The figure to plot the data. If None, create a new one.
axes (None | Axes) – The axes to plot the data. If None, create new ones.
**plot_options – The options of the current class inheriting from DatasetPlot.

Returns:

The figures.

Raises:

AttributeError – When the name of a property is not the name of an attribute.

Return type:

list[Figure]

color: str | list[str]

The color(s) for the series.

If empty, use a default one.

colormap: str: The color map.

dataset: Dataset: The dataset to be plotted.

fig_size: tuple[float, float]: The figure size.

property fig_size_x: float: The x-component of figure size.

property fig_size_y: float: The y-component of figure size.

font_size: int: The font size.

property labels: Mapping[str, str]: The labels of the variables.

legend_location: str: The location of the legend.

linestyle: str | list[str]

The line style(s) for the series.

If empty, use a default one.

marker: str | list[str]

The marker(s) for the series.

If empty, use a default one.

property output_files: list[str]: The paths to the output files.

title: str: The title of the plot.

xlabel: str: The label for the x-axis.

xmax: float | None

The maximum value on the x-axis.”

If None, compute it from data.

xmin: float | None

The minimum value on the x-axis.

If None, compute it from data.

ylabel: str: The label for the y-axis.

ymax: float | None

The maximum value on the y-axis.

If None, compute it from data.

ymin: float | None

The minimum value on the y-axis.

If None, compute it from data.

zlabel: str: The label for the z-axis.

zmax: float | None

The maximum value on the z-axis.

If None, compute it from data.

zmin: float | None

The minimum value on the z-axis.

If None, compute it from data.

Draw a variable versus another from a Dataset.

A YvsX plot represents samples of a couple \((x,y)\) as a set of points whose values are stored in a Dataset. The user can select the style of line or markers, as well as the color.

class gemseo.post.dataset.yvsx.YvsX(dataset, x, y, x_comp=0, y_comp=0)[source]

Plot curve y versus x.

Parameters:

dataset (Dataset) – The dataset containing the data to plot.
x (str) – The name of the variable on the x-axis.
y (str) – The name of the variable on the y-axis.
x_comp (int) –
The component of x.

By default it is set to 0.
y_comp (int) –
The component of y.

By default it is set to 0.

Raises:

ValueError – If the dataset is empty.

execute(save=True, show=False, file_path=None, directory_path=None, file_name=None, file_format=None, properties=None, fig=None, axes=None, **plot_options)

Execute the post processing.

Parameters:

save (bool) –
If True, save the plot.

By default it is set to True.
show (bool) –
If True, display the plot.

By default it is set to False.
file_path (str | Path | None) – The path of the file to save the figures. If None, create a file path from directory_path, file_name and file_format.
directory_path (str | Path | None) – The path of the directory to save the figures. If None, use the current working directory.
file_name (str | None) – The name of the file to save the figures. If None, use a default one generated by the post-processing.
file_format (str | None) – A file format, e.g. ‘png’, ‘pdf’, ‘svg’, … If None, use a default file extension.
properties (Mapping[str, DatasetPlotPropertyType] | None) – The general properties of a DatasetPlot.
fig (None | Figure) – The figure to plot the data. If None, create a new one.
axes (None | Axes) – The axes to plot the data. If None, create new ones.
**plot_options – The options of the current class inheriting from DatasetPlot.

Returns:

The figures.

Raises:

AttributeError – When the name of a property is not the name of an attribute.

Return type:

list[Figure]

color: str | list[str]

The color(s) for the series.

If empty, use a default one.

colormap: str: The color map.

dataset: Dataset: The dataset to be plotted.

fig_size: tuple[float, float]: The figure size.

property fig_size_x: float: The x-component of figure size.

property fig_size_y: float: The y-component of figure size.

font_size: int: The font size.

property labels: Mapping[str, str]: The labels of the variables.

legend_location: str: The location of the legend.

linestyle: str | list[str]

The line style(s) for the series.

If empty, use a default one.

marker: str | list[str]

The marker(s) for the series.

If empty, use a default one.

property output_files: list[str]: The paths to the output files.

title: str: The title of the plot.

xlabel: str: The label for the x-axis.

xmax: float | None

The maximum value on the x-axis.”

If None, compute it from data.

xmin: float | None

The minimum value on the x-axis.

If None, compute it from data.

ylabel: str: The label for the y-axis.

ymax: float | None

The maximum value on the y-axis.

If None, compute it from data.

ymin: float | None

The minimum value on the y-axis.

If None, compute it from data.

zlabel: str: The label for the z-axis.

zmax: float | None

The maximum value on the z-axis.

If None, compute it from data.

zmin: float | None

The minimum value on the z-axis.

If None, compute it from data.

Draw a variable versus two others from a Dataset.

A ZvsXY plot represents the variable \(z\) with respect to \(x\) and \(y\) as a surface plot, based on a set of points :points \(\{x_i,y_i,z_i\}_{1\leq i \leq n}\). This interpolation is relies on the Delaunay triangulation of \(\{x_i,y_i\}_{1\leq i \leq n}\)

class gemseo.post.dataset.zvsxy.ZvsXY(dataset, x, y, z, x_comp=0, y_comp=0, z_comp=0, add_points=False, fill=True, levels=None, other_datasets=None)[source]

Plot surface z versus x,y.

Parameters:

dataset (Dataset) – The dataset containing the data to plot.
x (str) – The name of the variable on the x-axis.
y (str) – The name of the variable on the y-axis.
z (str) – The name of the variable on the z-axis.
x_comp (int) –
The component of x.

By default it is set to 0.
y_comp (int) –
The component of y.

By default it is set to 0.
z_comp (int) –
The component of z.

By default it is set to 0.
add_points (bool) –
Whether to display the entries of the dataset as points above the surface.

By default it is set to False.
fill (bool) –
Whether to generate a filled contour plot.

By default it is set to True.
levels (int | Sequence[int]) – Either the number of contour lines or the values of the contour lines in increasing order. If None, select them automatically.
other_datasets (Iterable[Dataset]) – Additional datasets to be plotted as points above the surface.

Raises:

ValueError – If the dataset is empty.

execute(save=True, show=False, file_path=None, directory_path=None, file_name=None, file_format=None, properties=None, fig=None, axes=None, **plot_options)

Execute the post processing.

Parameters:

save (bool) –
If True, save the plot.

By default it is set to True.
show (bool) –
If True, display the plot.

By default it is set to False.
file_path (str | Path | None) – The path of the file to save the figures. If None, create a file path from directory_path, file_name and file_format.
directory_path (str | Path | None) – The path of the directory to save the figures. If None, use the current working directory.
file_name (str | None) – The name of the file to save the figures. If None, use a default one generated by the post-processing.
file_format (str | None) – A file format, e.g. ‘png’, ‘pdf’, ‘svg’, … If None, use a default file extension.
properties (Mapping[str, DatasetPlotPropertyType] | None) – The general properties of a DatasetPlot.
fig (None | Figure) – The figure to plot the data. If None, create a new one.
axes (None | Axes) – The axes to plot the data. If None, create new ones.
**plot_options – The options of the current class inheriting from DatasetPlot.

Returns:

The figures.

Raises:

AttributeError – When the name of a property is not the name of an attribute.

Return type:

list[Figure]

color: str | list[str]

The color(s) for the series.

If empty, use a default one.

colormap: str: The color map.

dataset: Dataset: The dataset to be plotted.

fig_size: tuple[float, float]: The figure size.

property fig_size_x: float: The x-component of figure size.

property fig_size_y: float: The y-component of figure size.

font_size: int: The font size.

property labels: Mapping[str, str]: The labels of the variables.

legend_location: str: The location of the legend.

linestyle: str | list[str]

The line style(s) for the series.

If empty, use a default one.

marker: str | list[str]

The marker(s) for the series.

If empty, use a default one.

property output_files: list[str]: The paths to the output files.

title: str: The title of the plot.

xlabel: str: The label for the x-axis.

xmax: float | None

The maximum value on the x-axis.”

If None, compute it from data.

xmin: float | None

The minimum value on the x-axis.

If None, compute it from data.

ylabel: str: The label for the y-axis.

ymax: float | None

The maximum value on the y-axis.

If None, compute it from data.

ymin: float | None

The minimum value on the y-axis.

If None, compute it from data.

zlabel: str: The label for the z-axis.

zmax: float | None

The maximum value on the z-axis.

If None, compute it from data.

zmin: float | None

The minimum value on the z-axis.

If None, compute it from data.