The notebook editor provides an Analysis pane to browse and add the code snippets for the analysis tools available in your ArcGIS Enterprise deployment. The standard feature analysis tools are always available in the pane, and the GeoAnalytics tools and raster analysis tools are available if those capabilities are enabled by your organization's license. To access the pane, click Analysis on the top ribbon of the notebook editor.
Adding a tool to your notebook inserts the ArcGIS API for Python syntax for that tool into a new cell.
Explore the Analysis pane
When you open the Analysis pane, each available tool set appears as a tab. On each tab, the tools are grouped into categories, identical to how they appear in the ArcGIS Enterprise portal.
To view the tools in a category, expand or collapse it using the button next to the category. Click the Info button for a category or a tool to view its details. When you locate the analysis tool you want to use, click the Add button to add the Python code snippet corresponding to the tool into a new cell in your notebook.
Standard feature analysis tools
The tools in this set can be used to perform common analytical functions such as finding hot spots, locating streets and addresses, finding a place, routing, or accessing a geodatabase. By performing analysis, you can answer questions and make decisions using more than visual analysis.
These tools can be used to perform analytical functions that analyze patterns and aggregate data in the context of both space and time. Your analysis can be performed more quickly and with larger quantities of data than could previously be computed on a single machine.
Raster analysis tools
The raster analysis tools, enabled by ArcGIS Image Server, are used to analyze and process imagery and raster datasets, such as multispectral satellite and aerial imagery, elevation, and scientific and classified datasets. The tools can analyze imagery based on algorithms, analyze spatial patterns, analyze terrain to derive surfaces, summarize data, and manage data. You can create and execute spatial analysis models and image processing chains while leveraging distributed processing and storage. These tools manage and perform scalable raster analysis and image processing on large volumes of raster data from multiple sources.