ExtendTable

Synthèse

Joint le contenu d’un tableau structuré NumPy à une table en fonction d’un champ attributaire commun. La table en entrée est mise à jour pour contenir les champs de la table de jointure.

Discussion

Les enregistrements du champ in_array sont appariés à ceux du champ in_table. Un appariement est effectué lorsque les valeurs table_match_field et array_match_table sont égales. La jointure est 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.

Syntaxe

ExtendTable (in_table, table_match_field, in_array, array_match_field, {append_only})
ParamètreExplicationType de données
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.

(La valeur par défaut est True)

Boolean

Exemple de code

Exemple ExtendTable

Utilisez la fonction ExtendTable pour joindre une table NumPy à une table existante.


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")

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