arcpy.stats.ConvertSpatialWeightsMatrixtoTable(Input_Spatial_Weights_Matrix_File, Output_Table)
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名称
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说明
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数据类型
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Input_Spatial_Weights_Matrix_File
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要转换的空间权重矩阵文件 (.swm) 的完整路径名。
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File
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Output_Table
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要创建的表的完整路径名。
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Table
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代码示例
ConvertSpatialWeightsMatrixtoTable 示例 1（Python 窗口）
以下 Python 窗口脚本演示了如何使用 ConvertSpatialWeightsMatrixtoTable 函数。
import arcpy
arcpy.env.workspace = "c:/data"
arcpy.stats.ConvertSpatialWeightsMatrixtoTable(
"euclidean6Neighs.swm", "euclidean6Neighs.dbf")
ConvertSpatialWeightsMatrixtoTable 示例 2（独立脚本）
以下独立 Python 脚本演示了如何使用 ConvertSpatialWeightsMatrixtoTable 函数。
# Create a Spatial Weights Matrix based on Network Data.
# Import system modules.
import arcpy
# Set property to overwrite existing output.
arcpy.env.overwriteOutput = True
# Local variables...
workspace = r"C:\Data\USCounties\US"
# Set the current workspace (to avoid having to specify the full path to the
# feature classes each time).
arcpy.env.workspace = workspace
# Create Spatial Weights Matrix.
# Process: Generate Spatial Weights Matrix...
swm = arcpy.stats.GenerateSpatialWeightsMatrix(
"USCounties.shp", "MYID", "euclidean6Neighs.swm", "K_NEAREST_NEIGHBORS",
"#", "#", "#", 6)
# Dump Spatial Weights to Database Table.
# Process: Convert Spatial Weights Matrix to Table...
dbf = arcpy.stats.ConvertSpatialWeightsMatrixtoTable(
"euclidean6Neighs.swm", "euclidean6Neighs.dbf")
# Now you can edit the spatial weights (add, subtract and alter
# neighbors and weights).
# Read weights from table back into Spatial Weights Matrix format.
# Process: Generate Spatial Weights Matrix...
swm = arcpy.stats.GenerateSpatialWeightsMatrix(
"USCounties.shp", "MYID", "euclidean6Neighs.swm", "CONVERT_TABLE", "#",
"#", "#", "#", "#", "#", "euclidean6Neighs.dbf")
