ExtendTable

Resumen

Une el contenido de un conjunto estructurado NumPy a una tabla basándose en un campo de atributos común. La tabla de entrada se actualiza para contener los campos de la tabla a unir.

Debate

Los registros del campo in_array se hacen coincidir con los registros del campo in_table. Se establece una coincidencia cuando los valores de table_match_field y de array_match_table son iguales. La unión es permanente.

NumPy is a fundamental package for scientific computing in Python, including support for a powerful N-dimensional array object. For more information, see Working with NumPy in ArcGIS.

Sintaxis

ExtendTable (in_table, table_match_field, in_array, array_match_field, {append_only})

Parámetro	Explicación	Tipo de datos
in_table	The target table to which fields from a NumPy array will be appended.	String
table_match_field	A field name from in_table to use as a match to the array.	String
in_array	A NumPy structured array to be appended to in_table. Matching in_array field values must be unique.	NumPyArray
array_match_field	A field name from in_array to use to match.	String
append_only	Controls how fields are added or updated in the existing table. If True, fields will be appended to the existing table only. If any of the NumPy field names exist already in the in_table, ExtendTable will fail. If False, existing fields will be updated if they share a common field name with fields in the NumPy array. Any matching fields must have a compatible field type. For example, a NumPy string field cannot be appended into a numeric field. (El valor predeterminado es True)	Boolean

Muestra de código

Ejemplo de ExtendTable

Utilice la función ExtendTable para unir una matriz NumPy a una tabla existente.

import arcpy
import numpy

# numpy array
array = numpy.array(
    [(1, "a", 1111.0), (2, "b", 2222.22)],
    numpy.dtype(
        [("idfield", numpy.int32), ("textfield", "|S256"), ("doublefield", "<f8")]
    ),
)

# Append the array to an existing table
arcpy.da.ExtendTable("c:/data/base.gdb/current_table", "tableid", array, "idfield")