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Copy file name to clipboardExpand all lines: doc/source/user_guide/migration.rst
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@@ -87,7 +87,7 @@ Then you need to create a ``MeshObjectPlot`` instance that relates the PyVista m
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mesh=custom_object.get_mesh(),
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)
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With this, you can use the Ansys Tools Visualization Interface plotter to visualize your custom object. It will enable interactivity such as picking and hovering.
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With this, you can use the Ansys Tools Visualization Interface plotter to visualize your custom object. It enables interactivity such as picking and hovering.
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Customizing the PyVista backend
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pass
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The rest of the methods are implemented for you. This ensures that while you can customize what you need for plotting, the rest of the functionalities will work as expected.
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The rest of the methods are implemented for you. This ensures that while you can customize what you need for plotting, the rest of the functionalities still work as expected.
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If you need to even go further, you can also create your own plotter by inheriting from the ``BaseBackend`` class and implementing the required methods,
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although this may break existing functionality. You can find more information about this in the plotter documentation.
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although this may break existing features. You can find more information about this in the plotter documentation.
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Customize the picker or hover behavior
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--------------------------------------
@@ -176,7 +176,7 @@ before creating the plotter. Here is an example of how to do this:
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pl.backend.enable_widgets()
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pv_backend.scene.show()
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With this, you can integrate the plotter into a PyQt or PySide application by disabling ``show_qt`` parameter.
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With this, you can integrate the plotter into a PyQt or PySide app by disabling ``show_qt`` parameter.
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You can find more information about this in the `PyVista documentation <https://qtdocs.pyvista.org/>`_.
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