本文目錄一覽：
- 1、如何使用PYTHON 向arcmap中加載shapefile 不是即時python窗口
- 2、arcgisserevr 可以將python腳本發布為服務嗎
- 3、如何利用python 批量導出mxd至jpg
- 4、求助，怎麼運用Python腳本批量替換mxd文件中的文本？
- 5、如何將模板文檔導入python並創建
- 6、關於arcgis的python腳本編程， shape文件出png圖片問題
如何使用PYTHON 向arcmap中加載shapefile 不是即時python窗口
# 獲得當前的document
mxd = arcpy.mapping.MapDocument(“CURRENT”)
# 獲得data frame
df = arcpy.mapping.ListDataFrames(mxd,”*”)[0]
# 創建新圖層
# path_to_shapefile_or_feature_class：shapefile路徑或者要素類
newlayer = arcpy.mapping.Layer(path_to_shapefile_or_feature_class)
# 添加圖層，放到最下面一層
arcpy.mapping.AddLayer(df, newlayer,”BOTTOM”)
arcgisserevr 可以將python腳本發布為服務嗎
通常我們使用ArcCatalog或者ArcGIS Server Manager等圖形界面工具來發布ArcGIS服務，然而有些情況下，比如需要發布的服務數量很多，而且需要不定期隨時發布的時候，再使用這些工具進行人工操作就顯得力不從心了。ArcGIS的強大之處就在於其為我們提供了多種選擇，我們可以通過Python編寫腳本，調用ArcPy模塊中的功能來實現自動掃描文件夾並將其中的地圖文檔發布為地圖服務。
本文將創建一個publishHelper.py文件，在其中編寫兩個方法，一個是PublishAll，用來遍歷文件夾並調用另一個方法PublishMxd，後者完成具體的服務發布工作。
在服務發布之前，需要首先檢查mxd文檔路徑，讀取mxd文檔，轉為msd，分析文檔等，最後才是發布服務。
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# -*- coding: utf-8 -*-
import arcpy, os
__name__ = ‘publishHelper’
# 將指定目錄下所有的.mxd文檔發布為地圖服務
# folder：包含mxd文檔的文件夾路徑
# serviceDir：服務目錄URL，例如
# serviceFolder：服務所在文件夾，如果為空，則表示根目錄
def PublishAll(folder,serviceDir,serviceFolder):
print “檢查文件夾路徑……”
if os.path.isdir(folder) == False:
print “輸入的文件夾路徑無效！”
return
print “遍歷文件夾……”
files = os.listdir(folder)
for f in files:
if f.endswith(“.mxd”):
mxdPath = os.path.join(folder, f)
print “publishing: ” + f
PublishMxd(mxdPath, serviceDir, serviceFolder)
else:
continue
#將mxd文檔發布為服務：1.將mxd轉為msd；2.分析msd；3.發布msd
def PublishMxd(mxdPath, serviceDir, serviceFolder):
#檢查mxd和msd文件是否存在
print “檢查文件路徑……”
if os.path.exists(mxdPath) == False:
print “指定路徑的mxd文檔不存在！”
return
# 打開mxd文檔
try:
print “正在打開mxd文檔……”
mxd = arcpy.mapping.MapDocument(mxdPath)
except Exception, e:
print “open mxd error: “, e
return
else:
print “mxd文檔打開成功……”
# 獲取默認的數據框
print “正在讀取mxd文檔默認數據框……”
df = “”
try:
frames = arcpy.mapping.ListDataFrames(mxd, “圖層”)
if len(frames) == 0:
frames = arcpy.mapping.ListDataFrames(mxd, “Layers”)
df = frames[0]
except Exception, e:
print “讀取mxd文檔默認數據框失敗：”, e
return
# 構造msd文檔名稱
msdPath = mxdPath.replace(“.mxd”, “.msd”)
# 將mxd轉為msd
print “正在將mxd文檔轉換為msd文檔……”
arcpy.mapping.ConvertToMSD(mxd, msdPath, df, “NORMAL”, “NORMAL”)
# 分析msd
print “正在分析文檔……”
analysis = arcpy.mapping.AnalyzeForMSD(mxd)
# 列出分析結果信息
for key in (‘messages’, ‘warnings’, ‘errors’):
print “—-” + key.upper() + “—”
vars = analysis[key]
for ((message, code), layerlist) in vars.iteritems():
print ” “, message, ” (CODE %i)” % code
print ” applies to:”,
for layer in layerlist:
print layer.name,
#獲取服務器信息
serviceName = os.path.basename(msdPath).replace(“.msd”, “”)
serverName = serviceDir.split(“/”)[2]
try:
#發布msd
print “正在發布服務……”
arcpy.mapping.PublishMSDToServer (msdPath, serviceDir, serverName, serviceName, serviceFolder, [“WMS”, “KML”])
except Exception, e:
print “發布服務失敗：”, e
else:
print “服務發布成功！”
調用代碼：
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import sys
sys.path.append(“E:\\Codes\\Python”)
from publishHelper import PublishAll # 必須要有正確的許可，否則導入失敗
PublishAll(“D:\\TestData”, “”, “sichuan”)
如此即可通過Python腳本去遍歷文件夾，並發布其中的mxd文檔為地圖服務。稍作完善，還可作為windows服務自動運行，實現服務的隨到隨發。
如何利用python 批量導出mxd至jpg
你好，arcpy.mapping提供了如下的函數：
arcpy.mapping 函數
AddLayer(data_frame, add_layer, {add_position})
AddLayerToGroup(data_frame, target_group_layer, add_layer, {add_position})
AnalyzeForMSD(map_document)
ConvertToMSD(map_document, out_msd, {data_frame}, {msd_anti_aliasing}, {msd_text_anti_aliasing})
DeleteMapService(connection_url_or_name, server, service_name, {folder_name}, {connection_username}, {connection_password}, {connection_domain})
ExportToAI(map_document, out_ai, {data_frame}, {df_export_width}, {df_export_height}, {resolution}, {image_quality}, {colorspace}, {picture_symbol}, {convert_markers})
ExportToBMP(map_document, out_bmp, {data_frame}, {df_export_width}, {df_export_height}, {resolution}, {world_file}, {color_mode}, {rle_compression})
ExportToEMF(map_document, out_emf, {data_frame}, {df_export_width}, {df_export_height}, {resolution}, {image_quality}, {description}, {picture_symbol}, {convert_markers})
ExportToEPS(map_document, out_eps, {data_frame}, {df_export_width}, {df_export_height}, {resolution}, {image_quality}, {colorspace}, {ps_lang_level}, {image_compression}, {picture_symbol}, {convert_markers}, {embed_fonts}, {jpeg_compression_quality})
ExportToGIF(map_document, out_gif, {data_frame}, {df_export_width}, {df_export_height}, {resolution}, {world_file}, {color_mode}, {gif_compression}, {background_color}, {transparent_color}, {interlaced})
ExportToJPEG(map_document, out_jpeg, {data_frame}, {df_export_width}, {df_export_height}, {resolution}, {world_file}, {color_mode}, {jpeg_quality}, {progressive})
ExportToPDF(map_document, out_pdf, {data_frame}, {df_export_width}, {df_export_height}, {resolution}, {image_quality}, {colorspace}, {compress_vectors}, {image_compression}, {picture_symbol}, {convert_markers}, {embed_fonts}, {layers_attributes}, {georef_info}, {jpeg_compression_quality})
ExportToPNG(map_document, out_png, {data_frame}, {df_export_width}, {df_export_height}, {resolution}, {world_file}, {color_mode}, {background_color}, {transparent_color}, {interlaced})
求助，怎麼運用Python腳本批量替換mxd文件中的文本？
import arcpy, string, os
#Read input parameters from script tool
Path = arcpy.GetParameterAsText(0)
oldText = arcpy.GetParameterAsText(1)
newText = arcpy.GetParameterAsText(2)
case = arcpy.GetParameter(3)
exact = arcpy.GetParameter(4)
outputMXD = arcpy.GetParameterAsText(5)
try:
#Referent the map document
mxd = arcpy.mapping.MapDocument(mxdPath)
#Find all page layout text elements
for elm in arcpy.mapping.ListLayoutElements(mxd, “TEXT_ELEMENT”):
if exact:
if case:
if oldText == elm.text:
elmText = elm.text.replace(oldText, newText)
elm.text = elmText
else:
if oldText.upper() == elm.text.upper():
elmText = elm.text.upper().replace(oldText, newText)
elm.text = elmText
else:
if case:
if oldText in elm.text:
elmText = elm.text.replace(oldText, newText)
elm.text = elmText
else:
if oldText.upper() in elm.text.upper():
elmText = elm.text.upper().replace(oldText, newText)
elm.text = elmText
mxd.saveACopy(outputMXD)
del mxd
except Exception, e:
import traceback
map(arcpy.AddError, traceback.format_exc().split(“\n”))
arcpy.AddError(str(e))
如何將模板文檔導入python並創建
模板文檔導入python並創建的方法如下：
1.1 需要導入的模板在同一文件夾中
比如admin.py調用test.py模板，可以在admin.py中直接執行
因為python解釋器查找模塊時會找同一文件夾，所以不用導入路徑名。
1.2 需要導入的模板在當前文件夾的子文件夾中
比如 manage.py調用setting.py模板，可以在manage.py中直接執行
無需加其他路徑說明，因為 crm 也是一個模塊（模塊的集合）。
1.3 需要導入的模板在父文件夾中
比如admin.py想調用surround.py模板（在admin.py父文件夾project下），因為解釋器找模塊只會去本文件夾及本文件夾的子文件夾去找，不會去父文件夾找，為什麼？試試看，先在admin.py中執行
當一個的模塊被導入的時候，解釋器首先尋找具有該名稱的內置模塊。如果沒有找到，然後解釋器從 sys.path 變量給出的目錄列表裡尋找該模板。所以輸出結果可以看到是一個路徑列表，其它路徑不需要看，只看第一項
說明解釋器就是從 pro文件夾開始往下找，而surround.py是在 project/crm文件夾下，顯然是找不到的。解決方法，在admin.py中執行手動把相應的路徑添加到 sys.path 中就可以了，這樣導入就相當於可以從添加的相應路徑開始往下找模塊了。可以找到，結果也不會報錯。
關於arcgis的python腳本編程， shape文件出png圖片問題
1、點類型的轉柵格：
PointToRaster example 1 (Python
window)
Converts point features to a raster dataset.
import arcpy
from arcpy import env
env.workspace = “c:/data”
arcpy.PointToRaster_conversion(“ca_ozone_pts.shp”, “ELEVATION”,
“c:/output/ca_elev”, “MAXIMUM”, “”, 2000)
PointToRaster example 2
(stand-alone script)
Converts point features to a raster dataset.
# Name: PointToRaster_Ex_02.py
# Description: Converts point features to a raster dataset.
# Requirements: ArcInfo
# Import system modules
import arcpy
from arcpy import env
# Set environment settings
env.workspace = “C:/data”
# Set local variables
inFeatures = “ca_ozone_pts.shp”
valField = “ELEVATION”
outRaster = “c:/output/ca_elev02”
assignmentType = “MAXIMUM”
priorityField = “”
cellSize = 2000
# Execute PointToRaster
arcpy.PointToRaster_conversion(inFeatures, valField, outRaster,
assignmentType, priorityField, cellSize)
2、面類型的轉柵格：
PolygonToRaster example 1
(Python window)
Converts polygon features to a raster dataset.
import arcpy
from arcpy import env
env.workspace = “c:/data”
arcpy.PolygonToRaster_conversion(“ca_counties.shp”, “NAME”,
“c:/output/ca_counties.img”,
“MAXIMUM_AREA”, “MALES”, 0.25)
PolygonToRaster example 2
(stand-alone script)
Converts polygon features to a raster dataset.
# Name: PolygonToRaster_Ex_02.py
# Description: Converts polygon features to a raster dataset.
# Requirements: ArcInfo
# Import system modules
import arcpy
from arcpy import env
# Set environment settings
env.workspace = “C:/data”
# Set local variables
inFeatures = “ca_counties.shp”
valField = “NAME”
outRaster = “c:/output/ca_counties”
assignmentType = “MAXIMUM_AREA”
priorityField = “MALES”
cellSize = 0.5
# Execute PolygonToRaster
arcpy.PolygonToRaster_conversion(inFeatures, valField, outRaster,
assignmentType, priorityField, cellSize)
3、線類型轉柵格
PolylineToRaster example 1
(Python window)
Converts polyline features to a raster dataset.
import arcpy
from arcpy import env
env.workspace = “c:/data”
arcpy.PolylineToRaster_conversion(“roads.shp”, “CLASS”, “c:/output/roads.img”,
“MAXIMUM_COMBINED_LENGTH”, “LENGTH”, 30)
PolylineToRaster example 2
(stand-alone script)
Converts polyline features to a raster dataset.
# Name: PolylineToRaster_Ex_02.py
# Description: Converts polyline features to a raster dataset.
# Requirements: ArcInfo
# Import system modules
import arcpy
from arcpy import env
# Set environment settings
env.workspace = “C:/data”
# Set local variables
inFeatures = “roads.shp”
valField = “CLASS”
outRaster = “c:/output/roads.tif”
assignmentType = “MAXIMUM_COMBINED_LENGTH”
priorityField = “LENGTH”
cellSize = 30
# Execute PolylineToRaster
arcpy.PolylineToRaster_conversion(inFeatures, valField, outRaster,
assignmentType, priorityField, cellSize)
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