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I would like to run 2 actions with a custom button. For example in edit mode I would like to run 1. Disolve edges and after that, 2. Disolve vertex.

Is there a way to create this custom button?

Thank you.

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  • $\begingroup$ By "button", do you mean a keyboard shortcut or a clickable button in the interface? $\endgroup$
    – gandalf3
    Nov 17, 2014 at 6:57

1 Answer 1

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Too add custom buttons to the UI here in 3D view / Toolpanel you could something like this:

import bpy

class DissolvePanel(bpy.types.Panel):
    bl_label = "Dissolve Panel"
    bl_idname = "OBJECT_PT_hello"
    bl_space_type = 'VIEW_3D'
    bl_region_type = 'TOOLS'

    def draw(self, context):
        layout = self.layout
        col = layout.column(align=True)
        row = col.row(align=True)
        row.operator("mesh.dissolve_edges", text = "Dissolve Edges")
        row.operator("mesh.dissolve_verts", text = "Dissolve Verts")
        # invoke custom operator
        # row.operator("object.simple_operator" , text = "All")

def register():
    bpy.utils.register_class(DissolvePanel)

def unregister():
    bpy.utils.unregister_class(DissolvePanel)

if __name__ == "__main__":
    register()

To run dissolve edges followed by dissolve vertices you would need to define your own operator, to enable the All button uncomment this line in the above script:

# row.operator("object.simple_operator" , text = "All"):

Custom operator (from editor's templates)

import bpy


def main(context):
    bpy.ops.mesh.dissolve_edges()
    bpy.ops.mesh.dissolve_verts()

class SimpleOperator(bpy.types.Operator):
    """Tooltip"""
    bl_idname = "object.simple_operator"
    bl_label = "Simple Object Operator"

    @classmethod
    def poll(cls, context):
        return context.active_object is not None

    def execute(self, context):
        main(context)
        return {'FINISHED'}

def register():
    bpy.utils.register_class(SimpleOperator)

def unregister():
    bpy.utils.unregister_class(SimpleOperator)

if __name__ == "__main__":
    register()
    # test call
    bpy.ops.object.simple_operator()
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