show#
- Figure.show(autoscale=True, maintain_aspect=None, sidecar=False, sidecar_kwargs=None)[source]#
Begins the rendering event loop and shows the Figure, returns the canvas
- Parameters:
autoscale (bool, default
True
) – autoscale the Scenemaintain_aspect (bool, default
True
) – maintain aspect ratiosidecar (bool, default
True
) – display plot in ajupyterlab-sidecar
, only in jupytersidecar_kwargs (dict, default
None
) – kwargs for sidecar instance to display plot i.e. title, layout
- Returns:
In Qt or GLFW, the canvas window containing the Figure will be shown. In jupyter, it will display the plot in the output cell or sidecar.
- Return type:
BaseRenderCanvas
Examples#
Simple Image
RGB Image
Image Colormap
RGB Image Vmin/Vmax
Image Vmin/Vmax
Heatmap or large arrays
GridPlot Non-Square Example
GridPlot Simple
Multi-Graphic GridPlot
Line Plot Colormap
Simple Line Plot
Line Plot Data Slicing
Lines more colormapping
Line Plot Color Slicing
Line Stack
Line Collection Simple
Line Collection Colors
Line collections quantitative cmap
Line collections quantitative cmap
Line Collection Qualitative Colormap
Line Collection Qualitative Colormap
Line collection slicing
Line stack 3D
Iris Scatter Plot Color Slicing
Iris Scatter Plot Color Slicing
Iris Scatter Colormap
Iris Scatter Plot Data Slicing
Iris Scatter Plot Data Slicing
Scatter Plot Data Slicing
Scatter Plot
Scatter Colormap
Scatter Plot Color Slicing
Scatter Plot Size
Rectangle Selectors Images
Rectangle Selectors
Linear Selectors Image
LinearRegionSelectors with LineCollection
LinearRegionSelectors with LineCollection
LinearRegionSelectors
Linear Selectors
ImGUI Basics
Simple Image Update
Scatter sizes animation
Simple Line Animation
Simple Event
Simple 3D Line Animation
Multi-Subplot Image Update
Scatter Animation Data
Scatter Animation Colors
Lorenz System Animation
Electromagnetic Wave Animation
Electromagnetic Wave Animation