sum_dict={}
时间: 2024-02-23 15:56:25 浏览: 13
好的,您的问题是关于上面这段代码吗?这段代码是定义了一个空字典,命名为 `sum_dict`。字典是 Python 内置的一种数据结构,用于存储键值对,其中每个键对应一个唯一的值。在这段代码中,`sum_dict` 是一个空字典,它可以用来存储计算过程中的结果,以便后续的使用。可以通过向字典中添加键值对的方式来实现对结果的存储。需要注意的是,字典中的键必须是唯一的,否则会出现覆盖的情况。
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import sys sys.tracebacklimit = 0 import os os.environ['PYTHONUNBUFFERED'] = '1' import arcpy 获取参数 input_features = arcpy.GetParameterAsText(0) join_field = arcpy.GetParameterAsText(1) target_feature = arcpy.GetParameterAsText(2) target_field = arcpy.GetParameterAsText(3) area_threshold = arcpy.GetParameterAsText(4) 创建空间连接 join_result = arcpy.SpatialJoin_analysis(input_features, target_feature, "in_memory/spatial_join", "JOIN_ONE_TO_ONE", "KEEP_ALL", "", "INTERSECT") 使用MakeFeatureLayer创建要素图层,并使用AddFieldDelimiters处理字段名称 join_layer = arcpy.management.MakeFeatureLayer(join_result, "join_layer").getOutput(0) join_field_name = arcpy.AddFieldDelimiters(join_layer, join_field) 使用SelectLayerByAttribute选择重叠面积大于阈值的要素 arcpy.management.SelectLayerByAttribute(join_layer, "NEW_SELECTION", "Shape_Area > " + str(area_threshold)) 使用SummaryStatistics工具进行面积求和 summary_table = arcpy.Statistics_analysis(join_layer, "in_memory/summary_table", [["Shape_Area", "SUM"]], join_field_name) 使用TableToNumPyArray将结果转换为字典 sum_dict = {} with arcpy.da.TableToNumPyArray(summary_table, [join_field, "SUM_Shape_Area"]) as arr: for row in arr: sum_dict[row[0]] = row 使用UpdateCursor更新目标要素类的目标字段 with arcpy.da.UpdateCursor(target_feature, [target_field, join_field], sql_clause=(None, "ORDER BY OBJECTID")) as cursor: for row in cursor: join_value = row[1] if join_value in sum_dict: area_sum = sum_dict[join_value] row[0] = area_sum cursor.updateRow(row) 导出结果 output_feature = arcpy.GetParameterAsText(5) arcpy.CopyFeatures_management(target_feature, output_feature) 删除游标对象和要素图层对象 del cursor, join_layer请改正为可复制代码
import sys
import os
import arcpy
# 禁用traceback,避免出现异常时输出堆栈信息
sys.tracebacklimit = 0
# 设置PYTHONUNBUFFERED环境变量,避免使用arcpy输出信息时出现延迟
os.environ['PYTHONUNBUFFERED'] = '1'
# 获取参数
input_features = arcpy.GetParameterAsText(0)
join_field = arcpy.GetParameterAsText(1)
target_feature = arcpy.GetParameterAsText(2)
target_field = arcpy.GetParameterAsText(3)
area_threshold = arcpy.GetParameterAsText(4)
# 创建空间连接
join_result = arcpy.SpatialJoin_analysis(input_features, target_feature, "in_memory/spatial_join", "JOIN_ONE_TO_ONE", "KEEP_ALL", "", "INTERSECT")
# 使用MakeFeatureLayer创建要素图层,并使用AddFieldDelimiters处理字段名称
join_layer = arcpy.management.MakeFeatureLayer(join_result, "join_layer").getOutput(0)
join_field_name = arcpy.AddFieldDelimiters(join_layer, join_field)
# 使用SelectLayerByAttribute选择重叠面积大于阈值的要素
arcpy.management.SelectLayerByAttribute(join_layer, "NEW_SELECTION", "Shape_Area > " + str(area_threshold))
# 使用SummaryStatistics工具进行面积求和
summary_table = arcpy.Statistics_analysis(join_layer, "in_memory/summary_table", [["Shape_Area", "SUM"]], join_field_name)
# 使用TableToNumPyArray将结果转换为字典
sum_dict = {}
with arcpy.da.TableToNumPyArray(summary_table, [join_field, "SUM_Shape_Area"]) as arr:
for row in arr:
sum_dict[row[0]] = row
# 使用UpdateCursor更新目标要素类的目标字段
with arcpy.da.UpdateCursor(target_feature, [target_field, join_field], sql_clause=(None, "ORDER BY OBJECTID")) as cursor:
for row in cursor:
join_value = row[1]
if join_value in sum_dict:
area_sum = sum_dict[join_value]["SUM_Shape_Area"]
row[0] = area_sum
cursor.updateRow(row)
# 导出结果
output_feature = arcpy.GetParameterAsText(5)
arcpy.CopyFeatures_management(target_feature, output_feature)
# 删除游标对象和要素图层对象
del cursor, join_layer
import arcpy# 输入参数 input_features = arcpy.GetParameterAsText(0) # 连接要素 join_field = arcpy.GetParameterAsText(1) # 连接字段 target_feature = arcpy.GetParameterAsText(2) # 目标要素 target_field = arcpy.GetParameterAsText(3) # 目标字段 area_threshold = arcpy.GetParameterAsText(4) # 面积阈值 # 创建空间连接 arcpy.SpatialJoin_analysis(input_features, target_feature, "in_memory/spatial_join", "JOIN_ONE_TO_ONE", "KEEP_ALL", "", "INTERSECT") # 选择面积大于阈值的连接要素 arcpy.Select_analysis("in_memory/spatial_join", "in_memory/selected_features", ""Shape_Area" > " + str(area_threshold)) # 统计相同连接字段值的面积总和 arcpy.Statistics_analysis("in_memory/selected_features", "in_memory/summarized_features", "Shape_Area SUM", join_field) # 创建字典,存储连接字段值和对应的面积总和 sum_dict = {} with arcpy.da.SearchCursor("in_memory/summarized_features", [join_field, "SUM_Shape_Area"]) as cursor: for row in cursor: sum_dict[row[0]] = row # 更新目标要素中的字段值 with arcpy.da.UpdateCursor(target_feature, [target_field, join_field]) as cursor: for row in cursor: join_value = row[1] if join_value in sum_dict: area_sum = sum_dict[join_value] row[0] = str(area_sum) cursor.updateRow(row) # 导出结果 arcpy.CopyFeatures_management(target_feature, arcpy.GetParameterAsText(5))运行上面代码出现错误:SyntaxError: invalid syntax (空间连接.py, line 11) 执行(fzzz)失败。请改正出完整的代码
import arcpy
# 输入参数
input_features = arcpy.GetParameterAsText(0)
# 连接要素
join_field = arcpy.GetParameterAsText(1)
# 连接字段
target_feature = arcpy.GetParameterAsText(2)
# 目标要素
target_field = arcpy.GetParameterAsText(3)
# 目标字段
area_threshold = arcpy.GetParameterAsText(4)
# 面积阈值
# 创建空间连接
arcpy.SpatialJoin_analysis(input_features, target_feature, "in_memory/spatial_join", "JOIN_ONE_TO_ONE", "KEEP_ALL", "", "INTERSECT")
# 选择面积大于阈值的连接要素
arcpy.Select_analysis("in_memory/spatial_join", "in_memory/selected_features", "\"Shape_Area\" > " + str(area_threshold))
# 统计相同连接字段值的面积总和
arcpy.Statistics_analysis("in_memory/selected_features", "in_memory/summarized_features", "Shape_Area SUM", join_field)
# 创建字典,存储连接字段值和对应的面积总和
sum_dict = {}
with arcpy.da.SearchCursor("in_memory/summarized_features", [join_field, "SUM_Shape_Area"]) as cursor:
for row in cursor:
sum_dict[row[0]] = row[1]
# 更新目标要素中的字段值
with arcpy.da.UpdateCursor(target_feature, [target_field, join_field]) as cursor:
for row in cursor:
join_value = row[1]
if join_value in sum_dict:
area_sum = sum_dict[join_value]
row[0] = str(area_sum)
cursor.updateRow(row)
# 导出结果
arcpy.CopyFeatures_management(target_feature, arcpy.GetParameterAsText(5))