The data access module, arcpy.da, is a Python module for working with data. It allows control of the edit session, edit operation, improved cursor support (including faster performance), functions for converting tables and feature classes to and from NumPy arrays, and support for versioning, replicas, domains, and subtypes workflows.
Data Access functions
Joins the contents of a NumPy structured array to a table based on a common attribute field. The input table is updated to contain the fields from the join table.
Converts a feature class to NumPy structured array.
Lists the attribute domains belonging to a geodatabase.
Lists the fields in a versioned feature class or table that have field conflict filters applied.
Lists the replicas in the workspace.
Returns a dictionary of the subtypes for a table or feature class.
Lists the versions in the workspace.
Converts a NumPy structured array to a point feature class.
Converts a NumPy structured array to a table.
Converts a table to NumPy structured array.
Generate data names in a directory/database structure by walking the tree top-down or bottom-up. Each directory/workspace yields a tuple of three: directory path, directory names, and file names.
Data Access classes
The Domain object contains properties that describe an attribute domain.
The Editor class allows use of edit sessions and operations to manage database transactions.
InsertCursor establishes a write cursor on a feature class or table. InsertCursor can be used to add new rows.
The Replica object contains properties that describe a replica.
SearchCursor establishes read-only access to the records returned from a feature class or table.
UpdateCursor establishes read-write access to records returned from a feature class or table.
The Version object contains properties that describe a version.