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How to get the next row of a cursor in ArcPy?

Posted on October 21, 2022 by David Darling

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  • How to get the next row of a cursor in ArcPy?
  • How do I use searchcursor in Visual Studio?

How to get the next row of a cursor in ArcPy?

For faster performance, use arcpy.da.SearchCursor. Search cursors can be iterated with a for loop or in a while loop using the cursor’s next method to return the next row. When using the next method on a cursor to retrieve all rows in a table containing N rows, the script must make N calls to next.

What is the searchcursor function in ArcGIS?

The SearchCursor function establishes a read-only cursor on a feature class or table. SearchCursor can be used to iterate through Row objects and extract field values. The search can optionally be limited by a where clause or by field and optionally sorted. This function was superceded by arcpy.da.SearchCursor at ArcGIS 10.1.

What is the use of search cursor in SQL?

The SearchCursor function establishes a read-only cursor on a feature class or table. SearchCursor can be used to iterate through Row objects and extract field values. The search can optionally be limited by a where clause or by field and optionally sorted.

How do I use searchcursor in Visual Studio?

Use SearchCursor to step through a feature class and print specific field values and the x,y coordinates of the point. Use SearchCursor to return a set of unique field values. Use SearchCursor to return attributes using tokens. Use SearchCursor with a where clause to identify features that meet specific criteria.

What is arcarcpy layer class?

ArcPy Layer class provides access to project layers and layer file properties and methods.

How to return a set of unique field values in ArcPy?

Use SearchCursor to return a set of unique field values. import arcpy fc = ‘c:/data/base.gdb/well’ field = ‘Diameter’ # Use SearchCursor with list comprehension to return a # unique set of values in the specified field values = [row for row in arcpy.da.SearchCursor(fc, field)] uniqueValues = set(values) print(uniqueValues)

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