Résumé
Convertit un tableau structuré NumPy en une classe d'entités ponctuelles.
Discussion
If a field name from the input array is invalid for the output format, it will be validated. All invalid characters in the input field name are replaced with an underscore (_) in the output field name. Field name restrictions depend on the specific database used.
La fonction NumPyArrayToFeatureClass ne remplacera pas une classe d'entités 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' 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.
| 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
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
#
SR = 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'], SR)
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