Importing .lyr symbology or CIMRasterClassifyColorizer setting ClassBreaks Example

[ThomasCox]

I am looking for some examples in Pro of how to use the CIMRasterClassifyColorizer, specifically in setting the ClassBreaks to symbolize some GRID raster data.

Ideally I was hoping to use a pre-existing .lyr file and import the symbology, but have not been able to determine a way to do that.

I have looked at the LayerFactory.Create method, expecting to be able to pass a path to a .lyr file to automatically bring in the proper symbology.  I am able to successfully import the .lyr file in the Pro application, so I know it likes the .lyr file. I assume there is a programmatic way to bring in the .lyr symbology. This approach would be ideal as I would not have to mess with all the overhead of building the bits for the CIMRasterClassifyColorizer.

The attached file is a screen shot of the raster legend I am looking for.

Any assistance would be greatly appreciated.

[CharlesMacleod · Accepted solution]

The easiest way would be to create the layer using LayerFactory and then apply the symbology to the layer (you just created) using Geoprocessing.ExecuteToolAsync() and the layer file. Something like:

var gpresult = await Geoprocessing.ExecuteToolAsync("ApplySymbologyFromLayer_management", new string[]                       {theNewLayerName,@"C:\Location\my_layer_file.lyr"});

Here are some links that might help:

Apply Symbology From Layer
Performing Geoprocessing
Create and Add a Layer to the Active Map

[ThomasCox]

Charles,

Thanks so much for the reply. I realize with the Developers Conference starting next week, you must be quite busy.

As I expected, your response worked like a charm. 

I had looked around the github pro site, which I think is very well done.  However, I assumed the piece I was after would be in the MapAuthoring section (https://github.com/Esri/arcgis-pro-sdk/wiki/ProSnippets-MapAuthoring) as it contains examples regarding symbolizing.

I was a bit surprised that the raster rendering solution would come from the Geoprocessing module. Oh well, plenty to learn.

I look forward to next weeks’ sessions.

Thanks again