largeclip.py

来自「esri公司产品,本代码的主要功能是实现大量数据的叠加问题!」· Python 代码 · 共 42 行

"""********************************************************************************************************************
LargeClip.py

Description: 

Requirements: 

Python and the Python for Windows extention (win32 Extension) to be installed.

Author: ESRI, Redlands

Date: 07/14/2004

Usage: <input_featureclass> <clip_featureclass> <output_featureclass> <cluster_tolerance>
*********************************************************************************************************************"""

#Import system modules and PartionedOverlayer.py (contains functions to partiondata and overlay)
import PartitionedOverlay, sys

try:
    #Describe input featureclass to determine the shape type for the output
    dsc = PartitionedOverlay.gp.describe(sys.argv[1])
    PartitionedOverlay.shape_type = dsc.shapetype.upper()

    #Create the parameter list
    param_list = [sys.argv[1], sys.argv[2], sys.argv[3], sys.argv[4]]
    
    PartitionedOverlay.ScratchWorkspaceExists("clip_analysis", param_list)

    #Set the cluster tolerance in the Partition Overlay script for later use
    PartitionedOverlay.SetClustTol("clip_analysis", param_list[0] + ";" + param_list[1], sys.argv[4])

    #Run LargeClip passing in the tool name and parameter list
    PartitionedOverlay.RunLargeOverlay("clip_analysis", param_list)
    del dsc

except Exception, ErStr:
    PartitionedOverlay.gp.AddError(str(ErStr))

except:
    PartitionedOverlay.gp.AddError("Failure in Large Clip\n" + str(PartitionedOverlay.gp.getmessages(2)))