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)
- <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
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———————————————— ESRI培训 ———————————————————————————————————————-
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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()
转载自：https://blog.csdn.net/ve520117/article/details/51532862
