![]() The variables Bins_2 and Bins_5 should never exist, and all input parameters should be using the variable Bins. In the example below, we get 3 variables that all point to the same layer. The first one is those silly duplications of variable names. I have multiple issues with the output code. While this might be interesting, there are a lot of caveats to mention. Exporting Models to Python.ĪrcGIS Pro and ArcMap let you export your models to Python. If your input data has data that can change, it might be time to develop your script in Python. ![]() Your input data schemas are not reliable.Ĭomplex models are a pain to maintain in Model Builder when the input data does not have a set schema. If you need to use external Python libraries such as requests, logging, fpdf, or panda, Model Builder will not help you. This goes hand in hand with the previous point. You need to use other libraries than arcpy Complex conditions might also be a valid use case. The moment you need to make HTTP request, use scientific libraries, or implement logging, ModelBuilder won’t be enough. You don’t really have access to anything more. Model Builder lets you chain geoprocessing tools. What you want to automate cannot be achieved in a geoprocessing tool So when should consider coding in Python? 1. If the work can be done and maintained easily in a model, you should never have to start programming. ModelBuilder is easy to use, and everyone can understand it. When should you stop using ArcGIS ModelBuilder? ![]() Here are a few pieces of advice to help you along that journey. At some point, many of you might want to experiment with programming and transition from Model Builder to Python. Models can also be published in ArcGIS Enterprise to be exposed as web services. It allows users to quickly automate their workflows, as long as they follow some best practices. You’re a geoprocessing fan, and feel like you’ve hit a ceiling? This post is for you.ĪrcGIS ModelBuilder is a fantastic tool provided with ArcMap and ArcGIS Pro.
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