【C013】ArcPy - 入门学习

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)

<type 'int'>

>>> type(3.0)

<type 'float'>

>>> type(1111111111)

<type 'int'>

>>> type(111111111111111)

<type 'long'>

>>> type(3.00000000)

<type 'float'>

>>> type(3.000000000000)

<type 'float'>

>>> type(1+2j)

<type 'complex'>

>>> type(True)

<type 'bool'>

>>> type('Alex')

<type 'str'>

>>> type([2,4])

<type 'list'>

>>> type((3,4))

<type 'tuple'>

>>> 

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

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

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

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

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()