arcpy站点包中常用方法与函数

arcpy站点包中常用方法与函数

1.feature class 记录数
    arcpy.GetCount_management("c:/wlgt/pms_gt_l.shp")
2.feature class 默认网格索引（3级）
   arcpy.CalculateDefaultGridIndex_management("c:/wlgt/pms_gt_l.shp")
3.列出系统工具箱
   arcpy.ListToolboxes()
4.列出别名为management的工具
   arcpy.ListTools("*_management")
5.导入自定义开发工具箱
   arcpy.ImportToolbox("c:/PCovertL.tbx")

6.加载mxd文档

   acrpy.mapping.MapDocument()

7.list已知mxd文档中的layername

   arcpy.mapping.ListLayers()

8.list已知mxd文档中失去连接的数据源的layername

   arcpy.mapping.ListBrokenDataSources()

9. 查看对象类型

    type（）比较常用在实例化类以后判断属性，方法

10.查看arcpy包中方法的具体参数与描述信息

    arcpy.Usage()

11.查看类，开发包工具箱下的方法种类

    dir()  此处可以参考《定制python脚本环境》（自定义查找函数预加载）

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 result
F:/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)
'int'>
>>> type(3.0)
'float'>
>>> type(1111111111)
'int'>
>>> type(111111111111111)
'long'>
>>> type(3.00000000)
'float'>
>>> type(3.000000000000)
'float'>
>>> type(1+2j)
'complex'>
>>> type(True)
'bool'>
>>> type('Alex')
'str'>
>>> type([2,4])
'list'>
>>> type((3,4))
'tuple'>
>>>

详见： http://blog.sina.com.cn/s/blog_4b5039210100e9ya.html

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地图文件mxd

>>> mxd = arcpy.mapping.MapDocument("current")
>>> print mxd.filePath
F:\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)

Geogrid

Rivers

Lakes

Continents

Ocean

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