yvsx module¶

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)[source]¶

Bases: DatasetPlot

Plot curve y versus x.

Parameters:

dataset (Dataset) – The dataset containing the data to plot.
x (VariableType) – The name of the variable on the x-axis, with its optional component if not 0, e.g. ("foo", 3) for the fourth component of the variable "foo".
y (VariableType) – The name of the variable on the y-axis, with its optional component if not 0, e.g. ("bar", 3) for the fourth component of the variable "bar".

Raises:

ValueError – If the dataset is empty.

class PlotEngine(value)¶

Bases: StrEnum

An engine of plots.

MATPLOTLIB = 'MatplotlibPlotFactory'¶

PLOTLY = 'PlotlyPlotFactory'¶

execute(save=True, show=False, file_path='', directory_path='', file_name='', file_format='png', file_name_suffix='', **engine_parameters)¶

Execute the post-processing.

Parameters:

save (bool) –
Whether to save the plot.

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

By default it is set to False.
file_path (str | Path) –
The path of the file to save the figures. If empty, create a file path from directory_path, file_name and file_format.

By default it is set to “”.
directory_path (str | Path) –
The path of the directory to save the figures. If empty, use the current working directory.

By default it is set to “”.
file_name (str) –
The name of the file to save the figures. If empty, use a default one generated by the post-processing.

By default it is set to “”.
file_format (str) –
A file format, e.g. ‘png’, ‘pdf’, ‘svg’, …

By default it is set to “png”.
file_name_suffix (str) –
The suffix to be added to the file name.

By default it is set to “”.
**engine_parameters (Any) – The parameters specific to the plot engine.

Returns:

The figures.

Return type:

list[BasePlot]

DEFAULT_PLOT_ENGINE: ClassVar[PlotEngine] = 'MatplotlibPlotFactory'¶: The default engine of plots.

FILE_FORMATS_TO_PLOT_ENGINES: ClassVar[dict[str, PlotEngine]] = {'html': PlotEngine.PLOTLY}¶

The file formats bound to the engines of plots.

The method execute() uses this dictionary to select the engine of plots associated with its file_format argument. If missing, the method uses the DEFAULT_PLOT_ENGINE.

property color: str | list[str]¶

The color.

Either a global one or one per item if n_items is non-zero. If empty, use a default one.

property colormap: str¶: The color map.

property dataset: Dataset¶: The dataset.

property fig_size: FigSizeType¶: 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.

property figures: list[BasePlot]¶: The figures.

property font_size: int¶: The font size.

property grid: bool¶: Whether to add a grid.

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

property legend_location: str¶: The location of the legend.

property linestyle: str | Sequence[str]¶

The line style.

Either a global one or one per item if n_items is non-zero. If empty, use a default one.

property marker: str | Sequence[str]¶

The marker.

Either a global one or one per item if n_items is non-zero. If empty, use a default one.

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

property rmax: float | None¶: The maximum value on the r-axis; if None, compute it from data.

property rmin: float | None¶: The minimum value on the r-axis; if None, compute it from data.

property title: str¶: The title of the plot.

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

property xmax: float | None¶: The maximum value on the x-axis; if None, compute it from data.

property xmin: float | None¶: The minimum value on the x-axis; if None, compute it from data.

property xtick_rotation: float¶: The rotation angle in degrees for the x-ticks.

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

property ymax: float | None¶: The maximum value on the y-axis; if None, compute it from data.

property ymin: float | None¶: The minimum value on the y-axis; if None, compute it from data.

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

property zmax: float | None¶: The maximum value on the z-axis; if None, compute it from data.

property zmin: float | None¶: The minimum value on the z-axis; if None, compute it from data.

Examples using YvsX¶

Rosenbrock dataset

Customize with matplotlib

YvsX