NumPyArrayToFeatureClass

Synthèse

Convertit un tableau structuré NumPy en une classe d'entités ponctuelles.

Discussion

Si un nom de champ du tableau en entrée n'est pas valide pour le format de sortie, il sera validé. Tous les caractères non valides du nom de champ en entrée sont remplacés par un trait de soulignement (_) dans le nom de champ en sortie. Les restrictions de nom de champ dépendent de la base de données spécifique utilisée.

NumPyArrayToFeatureClass ne remplacera pas une table existante, même si l’environnement overwriteOutput est défini sur Vrai.

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

NumPyArrayToFeatureClass (in_array, out_table, shape_fields, {spatial_reference})

Paramètre	Explication	Type de données
in_array	A NumPy structured array. The array must include field names and NumPy dtypes.	NumPyArray
out_table	The output point feature class to which the records from the NumPy array will be written.	String
shape_fields [shape_fields,...]	A list (or tuple) of field names used to create the feature class's geometry. Coordinates are specified in the order of x, y, z, and m; z-coordinate and m-value fields are optional. Assuming field names of x, y, z, and m in a numpy array, feature classes could be constructed as below. import arcpy # Create a feature class with x,y fields arcpy.da.NumPyArrayToFeatureClass(array, fc, ("x", "y")) # Create a feature class with x,y,z fields arcpy.da.NumPyArrayToFeatureClass(array, fc, ("x", "y", "z")) # Create a feature class with x,y,m fields arcpy.da.NumPyArrayToFeatureClass(array, fc, ("x", "y", "", "m")) # Create a feature class with x,y,z,m fields arcpy.da.NumPyArrayToFeatureClass(array, fc, ("x", "y", "z", "m"))	String
spatial_reference	The spatial reference of the feature class. When this argument is specified, the feature will be projected (or transformed) from the input's spatial reference. If unspecified, the input feature classes' spatial reference will be used. Valid values for this argument are a SpatialReference object or string equivalent. (La valeur par défaut est None)	SpatialReference

Exemple de code

Exemple NumPyArrayToFeatureClass

import arcpy
import numpy

outFC = "C:/data/texas.gdb/fd/pointlocations"

# Create a numpy array with an id field, and a field with a tuple
#  of x,y coordinates
array = numpy.array(
    [
        (1, (471316.3835861763, 5000448.782036674)),
        (2, (470402.49348005146, 5000049.216449278)),
    ],
    numpy.dtype([("idfield", numpy.int32), ("XY", "<f8", 2)]),
)

# Define a spatial reference for the output feature class
spatial_ref = arcpy.Describe("C:/data/texas.gdb/fd").spatialReference

# Export the numpy array to a feature class using the XY field to
# represent the output point feature
arcpy.da.NumPyArrayToFeatureClass(array, outFC, ["XY"], spatial_ref)