Resumen
Convierte una matriz estructurada NumPy en una clase de entidad de punto.
Debate
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.
NumPyArrayToFeatureClass no sobrescribirá ninguna clase de entidad existente, ni siquiera si el entorno overwriteOutput está definido como True.
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
NumPyArrayToFeatureClass (in_array, out_table, shape_fields, {spatial_reference})
Parámetro | Explicación | Tipo de datos |
in_array | Una matriz estructurada NumPy. La matriz debe incluir nombres de campo y dtypes NumPy. | 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 | La referencia espacial de la clase de entidad. Cuando se especifica este argumento, la entidad se proyectará (o transformará) a partir de la referencia espacial de la entrada. Si no se especifica, se utilizará la referencia espacial de las clases de entidad de entrada. Los valores válidos para este argumento son un objeto de SpatialReference o un equivalente de cadena. (El valor predeterminado es None) | SpatialReference |
Muestra de código
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)