![]() ![]() Subfigures in Matplotlibįigure inside the figure (subfigures) can be instantiated using Figure.add_subfigure() or SubFigure.add_subfigure(), or SubFigure.subfigures(). Also, we can make nested gridspec or nested subfigures to place the subplots in groups. We can place the subfigures in the grid using the gridspec() method. Here comes the concept of subfigures, where we can place subfigures inside the figures and subplots inside the subfigures where we can change the properties of the certain group of the subplot of any subfigures. We don't have any individual control over each subplot. We can place the subplot on a figure, but if we change some properties of the figure, it will affect the whole plot. All the plots and properties are shown in the figure in matplotlib. The figure is the top-level container of all the axes and properties of a plot, or we can say that it is a canvas that holds the drawings (graphs or plots) on it. Subfigures are an important component in the matplotlib where we can place the subplots in a different layout. If we can plot the figures, why do we need subfigures? Need of Subfigures in Matplotlib We can also create a figure using the function () and change its visual properties by adding some parameters. ![]() In matplotlib, a default figure is automatically generated in the backend, where we can place our plots.
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