加入字段：

 

>>> arc = ['A','B','C','D','E']>>> for i in range(5):...     arcpy.AddField_management("idcounty",arc[i],"TEXT")

给idcounty空间数据批量加入五个字段~

 

Buffer缓冲区

arcpy.Buffer_analysis("thermal","buffer","10 kilometers")

集合面积与几何长度

 

 

>>> arcpy.CalculateField_management("idcounty","ID_Area","!shape.area@squarekilometers!","PYTHON_9.3")

>>> arcpy.CalculateField_management("idcounty","ID_Area","!shape.length@kilometers!","PYTHON_9.3")

改变工作空间

 

 

>>> arcpy.env.workspace = "F:/Data">>> result = arcpy.Buffer_analysis("thermal","t_Buffer","10 kilometers")>>> print resultF:/Data\t_Buffer.shp

返回要素数目

 

 

>>> result = arcpy.GetCount_management("idcounty")>>> print result.getOutput(0)44

调用工具的方法，就是工具的英文名称，去掉中间的空格，然后下划线，加入工具集的名称

字段名称：

 

>>> fieldList = arcpy.ListFields("idcounty")>>> for field in fieldList:...     print field.aliasname + field.type

获取工作空间内所有要素类的字段名：

 

 

>>> fes = arcpy.ListFeatureClasses()>>> for fe in fes:...     print fe ...     nl = ''...     fs = arcpy.ListFields(fe)...     for f in fs:...         nl = nl + '  ' + f.aliasName...     print nl

复制（工作空间中的可以直接写名字）

 

arcpy.Copy_management("i_Copy.shp","F:/Data/data/qq.shp")

列表的一些函数

>>> a = [1]*10>>> for i in range(10):...     a[i] = i... >>> a[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]>>> b = [1]*2>>> b[1, 1]>>> a.extend(b)>>> >>> a[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 1, 1]>>> a + b[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 1, 1, 1, 1]>>> a [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 1, 1]>>> a.count(1)3>>> a.append(100)>>> a[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 1, 1, 100]>>> a.index(100)12>>> a.insert(0,'I')>>> a['I', 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 1, 1, 100]>>> a.pop(0)'I'>>> a[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 1, 1, 100]>>> a.remove(100)>>> a[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 1, 1]>>> a.reverse()>>> a[1, 1, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0]>>> a.sort()>>> a[0, 1, 1, 1, 2, 3, 4, 5, 6, 7, 8, 9]>>>

Python数据类型

 

>>> type(3)
    
     >>> type(3.0)
     
      >>> type(1111111111)
      
       >>> type(111111111111111)
       
        >>> type(3.00000000)
        
         >>> type(3.000000000000)
         
          >>> type(1+2j)
          
           >>> type(True)
           
            >>> type('Alex')
            
             >>> type([2,4])
             
              >>> type((3,4))
              
               >>>
              
             
            
           
          
         
        
       
      
     
    

详见：

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------------------------------------------------ ESRI培训 ----------------------------------------------------------------------------------------------------------------------

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地图文件mxd

 

>>> mxd = arcpy.mapping.MapDocument("current")>>> print mxd.filePathF:\MY_OWN_WORK\Exercise\中国.mxd

数据框架data frame

 

>>> mxd = arcpy.mapping.MapDocument("current")>>> dfs = arcpy.mapping.ListDataFrames(mxd)>>> for df in dfs:...     print df.name... 图层Data Frame II

图层layer

 

 

>>> mxd = arcpy.mapping.MapDocument("current")>>> df = arcpy.mapping.ListDataFrames(mxd)[0]>>> ls = arcpy.mapping.ListLayers(df)>>> for l in ls:...     print l ... Cities (population > 5 Million)GeogridRiversLakesContinentsOcean

dataframe.extent = layers[0].getSelectedExtent()