We're migrating automated mapping scripts from ArcGIS Desktop to ArcGIS Pro — Python 2.7 to 3, arcpy.mapping module to arcpy.mp module. All these scripts iterate through a loop to select various features of interest, and then focus the dataframe extent on that selection. For example:

gas_main_layer = arcpy.mapping.ListLayers(mxd, "GasMain", data_frame)[0]
data_frame.extent = gas_main_layer.getSelectedExtent()
# adjust scale slightly so view is larger than polygon extent
data_frame.scale *= 1.2

I easily figured out how to transition ListLayers to the new mapping module's workflow, but I can't find a comparable method on the Layer class to get the selected extent and then reset the zoom/extent of its Map. What is the way to get the same functionality out of the new module?

  • 1
    The last bit in your code snippet of adjusting your scale a fraction is done at gis.stackexchange.com/a/268361/115 – PolyGeo Oct 17 '18 at 20:01
  • Thank you! Once I discovered what "controls" the extent/scale in Pro vs Desktop, it was much simpler to search for solutions and figure out how to control everything I needed to. – Erica Oct 17 '18 at 20:44

I found the solution in a blog on ArcGIS Pro for Iterative Map Exports which is about a very similar problem.

In the arcpy.mp module, querying the layer extent is now a Mapframe method (and Mapframe Camera method) rather than a Layer method.

project  = arcpy.mp.ArcGISProject(aprx_file_path)
layout   = project.listLayouts("project_layout")[0]
mapframe = layout.listElements("MAPFRAME_ELEMENT", "layout_mapframe")[0]


# query layer extent through mapframe
layer_extent = mapframe.getLayerExtent(gas_main_layer, True)
# apply extent to mapframe camera

If you don't have layouts or are more interested in getting a map (dataframe) extent:

mapView = aprx.listMaps()[0]

print(mapExtents.lowerLeft, mapExtents.upperRight)

Alter to something like .listMaps("Map Name X")[0] to find a particular one.

And it appears necessary to save the project first before the info becomes available. Hat tip to David Matthews and Joshua Bixby on Geonet.

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