NumPyArrayToRaster (arcpy)
摘要
将 NumPy 数组转换为栅格。
讨论
所生成的栅格数据集的大小和数据类型取决于输入数组。
拥有 x_cell_size 和 y_cell_size 参数可支持矩形像元。
语法
参数 | 说明 | 数据类型 |
in_array |
The NumPy array to convert to a raster. | NumPyArray |
lower_left_corner |
The lower left corner of the output raster to position the NumPy array. The X and Y values are in map units. (默认值为 0.0) | Point |
x_cell_size |
The cell size in the x direction specified in map units. The input can be a specified cell size (type: double) or an input raster. When a dataset is input for the x_cell_size, the x cell size of the dataset is used for the x cell size for the output raster. If only the x_cell_size is identified and not the y_cell_size, a square cell will result with the specified size. If neither x_cell_size or y_cell_size are specified, a default of 1.0 will be used for both the x and y cell size. (默认值为 1.0) | Double |
y_cell_size |
The cell size in y direction specified in map units. The input can be a specified cell size (type: double) or an input raster. When a dataset is input for the y_cell_size the y cell size of the dataset is used for the y cell size for the output raster. If only the y_cell_size is identified and not the x_cell_size a square cell will result with the specified size. If neither x_cell_size or y_cell_size are specified, a default of 1.0 will be used for both the x and y cell size. (默认值为 1.0) | Double |
value_to_nodata |
The value in the NumPy array to assign to NoData in the output raster. If no value is specified for value_to_nodata, there will not be any NoData values in the resulting raster. | Double |
数据类型 | 说明 |
Raster |
输出栅格。 |
代码实例
从随机生成的 NumPy 数组创建一个新栅格。
import numpy
import arcpy
my_array = numpy.random.random_integers(0, 100, 2500)
my_array.shape = (50, 50)
my_raster = arcpy.NumPyArrayToRaster(my_array)
my_raster.save("c:/output/fgdb.gdb/myRandomRaster")