def plot_with_arcpy(init_time, replace_workspace_dir,origin_workspace_dir, images_dir, mxd_path, resolution=100):
mxd = mp.MapDocument(mxd_path)
# 修改预报时效
txts = mp.ListLayoutElements(mxd, "TEXT_ELEMENT")
init_time_datetime = datetime.datetime.strptime(init_time, '%y%m%d%H')
for valid_h, i in zip(range(0, 132, 12), range(23, 12, -1)):
beg = (init_time_datetime + datetime.timedelta(hours=valid_h)).strftime('%d%H')
end = (init_time_datetime + datetime.timedelta(hours=valid_h + 12)).strftime('%d%H')
txts[i].text = beg + '-' + end
# 替换数据源
mxd.replaceWorkspaces(origin_workspace_dir, "RASTER_WORKSPACE", replace_workspace_dir, "RASTER_WORKSPACE", False)
# 处理缺失数据
broken_lyrs = mp.ListBrokenDataSources(mxd)
for broken_lyr in broken_lyrs:
# 让缺失数据图层及与其同在一个dataframe里其他的图层不显示
broken_df = mp.ListDataFrames(mxd, broken_lyr.name)
if len(broken_dfs) > 0:
lyrs_in_broken_df = mp.ListLayers(mxd, "", broken_df[0])
for lyr in lyrs_in_broken_df:
lyr.visible = False
#mxd.save() 不要保存
mp.ExportToJPEG(mxd, os.path.join(images_dir, init_time), resolution=resolution)
def print_map(mxd, pagename, output_type, output_file):
"""Set up a page and print it. """
arcpy.SetProgressorLabel("Exporting to %s" % output_file)
update_page_layout(mxd, pagename)
if os.path.exists(output_file):
os.unlink(output_file)
msg = ""
if output_type == 'PDF':
try:
MAP.ExportToPDF(mxd, output_file)
msg = "Completed %s" % output_file
except Exception as e:
msg = "Export to PDF failed with '%s'." % e
pass
else:
try:
MAP.ExportToJPEG(mxd, output_file)
msg = "Completed %s" % output_file
except Exception as e:
msg = "Export to JPEG failed with '%s'." % e
pass
aprint(msg)
return
def exportMap(parameter):
inMap = parameter[0]
outMap = parameter[1]
formatMap = parameter[2]
arcpy.env.overwriteOutput = True
mxd = mapping.MapDocument(inMap)
mxd.activeView = 'PAGE_LAYOUT'
if formatMap == 'JPEG':
mapping.ExportToJPEG(mxd, outMap)
if formatMap == 'PDF':
mapping.ExportToPDF(mxd, outMap)
if formatMap == 'BMP':
mapping.ExportToBMP(mxd, outMap)
if formatMap == 'PNG':
mapping.ExportToPNG(mxd, outMap)
if formatMap == 'TIFF':
mapping.ExportToTIFF(mxd, outMap)
if formatMap == 'GIF':
mapping.ExportToGIF(mxd, outMap)
else:
mapping.ExportToJPEG(mxd, outMap)
def output_image(self, image_name):
"""
Factory method for exporting different image types in ArcMap
:param str image_name: Name of output image with file extension
:return:
"""
if image_name.endswith("jpg"):
mapping.ExportToJPEG(
self.mxd, os.path.join(self.output_location, image_name))
# Add other image outputs if needed
self.update_status_message()
self.output_message("Process Completed")
def zoomExtractMXD(parcel):
#Variables
mxd = MAP.MapDocument(mxdC)
df = MAP.ListDataFrames(mxd)[0]
parcelLyr = MAP.ListLayers(mxd, "Parcels", df)[0]
jpg = os.path.join(outJPG, "%s") % (parcel)
#Update Layers
whereClause = "ACCOUNT ='%s'" % parcel
arcpy.SelectLayerByAttribute_management(parcelLyr, "NEW_SELECTION", whereClause)
#Make sure Account Exists
getCount = arcpy.GetCount_management(parcelLyr)
theCount = int(getCount.getOutput(0))
if theCount >= 1:
df.extent = parcelLyr.getSelectedExtent(True)
df.scale *= 1.1
#Update Text
updatetext1 = MAP.ListLayoutElements(mxd, "TEXT_ELEMENT", "ACCOUNT")[0]
updatetext1.text = parcel
#Export to JPG
MAP.ExportToJPEG(mxd, jpg)
#Release MXD
del mxd
else:
noAcctLog()
print(item.name)
# 5 导出地图为PDF文件
import arcpy.mapping as mapping
mxd = mapping.MapDocument(
r"E:\ArcPyStudy\Data\ArcpyBook\Ch2\Crime_Ch2_new.mxd")
mapping.ExportToPDF(mxd, r"E:\ArcPyStudy\Data\ArcpyBook\Ch2\Crime_Ch2_new.pdf")
print("Export Done")
# 6 导出地图为图像文件
import arcpy.mapping as mapping
mxd = mapping.MapDocument(
r"E:\ArcPyStudy\Data\ArcpyBook\Ch2\Crime_Ch2_new.mxd")
for df in mapping.ListDataFrames(mxd):
if df.name == "Crime":
mapping.ExportToJPEG(
mxd, r"E:\ArcPyStudy\Data\ArcpyBook\Ch2\Crime_Ch2_new.jpg", df)
print("Export Done")
# 7 导出报表
# 报错
# import arcpy.mapping as mapping
# mxd = mapping.MapDocument(r"E:\ArcPyStudy\Data\ArcpyBook\Ch2\Crime_Ch2_new.mxd")
# # df = mapping.ListDataFrames(mxd)[0]
# # lyr = mapping.ListLayers(mxd,"Crime*",df)[0]
# layer = mapping.Layer(r"E:\ArcPyStudy\Data\ArcpyBook\data\School_Districts.lyr")
# mapping.ExportReport(layer,
# r"E:\ArcPyStudy\Data\ArcpyBook\Ch4\CrimeReport.rlf",
# r"E:\ArcPyStudy\Data\ArcpyBook\Ch2\Crime_Ch2_new_ExportReport.pdf")
# print("Export Done")
# import arcpy.mapping as mapping
def mappingProcess(datetime, province, target_area, density_class=None, day_class=10, out_path=None, out_type= "png"):
# todo.控制densityClass和dayClass最多为14
cwd = os.getcwd()
infeature = ''.join([cwd, u"/data/LightningBulletin.gdb/", target_area])
mxd_density_path = ''.join([cwd, u"/data/LightningBulletin.gdb/", target_area, u"闪电密度空间分布模板.mxd"])
mxd_day_path = ''.join([cwd, u"/data/LightningBulletin.gdb/", target_area, u"地闪雷暴日空间分布模板.mxd"])
workspace = ''.join([cwd, u"/temp/", province, '/', datetime, '/', target_area, '.gdb'])
arcpy.env.workspace = workspace
arcpy.env.overwriteOutput = True
# *****处理地闪密度地图文档*******
mxd = mapping.MapDocument(mxd_density_path)
mask_lyr = mapping.ListLayers(mxd)[2]
target_lyr = mapping.ListLayers(mxd)[3]
mask_lyr.replaceDataSource(workspace, "FILEGDB_WORKSPACE", "densityMask")
target_lyr.replaceDataSource(workspace, "FILEGDB_WORKSPACE", "lightningDensity")
# 修改图例
# 计算数据分割值和不显示值
extract = ExtractByMask("lightningDensity", infeature)
raster = Raster("lightningDensity")
class_break_values, density_class = densityLegendLabel(extract.minimum / 100, extract.maximum / 100, density_class)
excluded_values = ''.join([str(round(raster.minimum - 0.5, 2)), "-", str(round(extract.minimum - 0.5, 2)), ";",
str(round(extract.maximum + 0.5, 2)), "-", str(round(raster.maximum + 0.5, 2))])
sym = target_lyr.symbology
sym.excludedValues = excluded_values
sym.classBreakValues = [x * 100 for x in class_break_values]
# 更改标题和图例
layout_items = mapping.ListLayoutElements(mxd, "TEXT_ELEMENT")
layout_items[-1].text = ''.join([datetime, target_area, u"闪电密度空间分布"]) # title标题
layout_items[-2].text = ''.join([target_area, u"气象局制"]) # 底注
density_class = class_break_values.__len__() - 1
class_break_values = [str(x) for x in class_break_values]
# TODO 将position参数放到设置文件里，或者自动处理
position = {u"绍兴市": (1.0436, 1.6639, 0.9859272727272728), u"嵊州市": (1.1138, 1.2614, 0.9869090909090698),
u"上虞区": (1.1372, 1.1617, 0.9862375000000156), u"诸暨市": (1.1138, 1.2614, 0.9869090909090698),
u"柯桥区": (1.1372, 1.1617, 0.9862375000000156), u"新昌县": (1.1138, 1.2614, 0.9869090909090698),
u"新乡市": (1.0436, 1.6639, 0.9859272727272728)}
Y, Xstart, gap = position[target_area]
for i in xrange(density_class + 1):
layout_items[i].text = class_break_values[i]
layout_items[i].elementPositionY = Y
layout_items[i].elementPositionX = Xstart + gap * i
for i in xrange(density_class + 1, 15): # 最多14类,15个标签
layout_items[i].elementPositionX = -20
mxd.save()
if not out_path:
out_path = workspace
out_name = os.path.join(out_path, ''.join([datetime, target_area, u"闪电密度空间分布"]))
out_type = out_type.lower()
if out_type in ["jpg", 'gpeg']:
mapping.ExportToJPEG(mxd, out_name, resolution=200)
elif out_type == "png":
mapping.ExportToPNG(mxd, out_name, resolution=200)
elif out_type == "pdf":
mapping.ExportToPDF(mxd, out_name)
elif out_type == "bmp":
mapping.ExportToBMP(mxd, out_name, resolution=200)
else:
mapping.ExportToTIFF(mxd, out_name, resolution=200)
# *****处理雷暴日地图文档*******
mxd = mapping.MapDocument(mxd_day_path)
mask_lyr = mapping.ListLayers(mxd)[2]
target_lyr = mapping.ListLayers(mxd)[3]
mask_lyr.replaceDataSource(workspace, "FILEGDB_WORKSPACE", "dayMask")
target_lyr.replaceDataSource(workspace, "FILEGDB_WORKSPACE", "lightningDay")
# 修改图例
# 计算数据分割值和不显示值
extract = ExtractByMask("lightningDay", infeature)
raster = Raster("lightningDay")
start = floor(extract.minimum)
end = ceil(extract.maximum)
class_break_values, day_class = dayLegendLabel(start, end, day_class)
excluded_values = ''.join([str(round(raster.minimum - 0.5, 2)), "-", str(round(extract.minimum - 0.5, 2)), ";",
str(round(extract.maximum + 0.5, 2)), "-", str(round(raster.maximum + 0.5, 2))])
sym = target_lyr.symbology
sym.excludedValues = excluded_values
sym.classBreakValues = class_break_values
# 更改标题和图例
layout_items = mapping.ListLayoutElements(mxd, "TEXT_ELEMENT")
layout_items[-1].text = ''.join([datetime, target_area, u"地闪雷暴日空间分布"])
layout_items[-2].text = ''.join([target_area, u"气象局制"]) # 底注
Y, Xstart, gap = position[target_area]
for i in xrange(day_class + 1):
layout_items[i].text = class_break_values[i]
layout_items[i].elementPositionY = Y
layout_items[i].elementPositionX = Xstart + gap * i
for i in xrange(day_class + 1, 15): # 最多14类,15个标签
layout_items[i].elementPositionX = -20
mxd.save()
out_name = os.path.join(out_path, ''.join([datetime, target_area, u"地闪雷暴日空间分布"]))
out_type = out_type.lower()
if out_type in ["jpg", 'gpeg']:
mapping.ExportToJPEG(mxd, out_name, resolution=200)
elif out_type == "png":
mapping.ExportToPNG(mxd, out_name, resolution=200)
elif out_type == "pdf":
mapping.ExportToPDF(mxd, out_name)
elif out_type == "bmp":
mapping.ExportToBMP(mxd, out_name, resolution=200)
else:
mapping.ExportToTIFF(mxd, out_name, resolution=200)
import arcpy.mapping as mapping
mxd = mapping.MapDocument("CURRENT")
for df in mapping.ListDataFrames(mxd):
if df.name == "Microlocalizacion":
mapping.ExportToJPEG(
mxd,
r'C:\EsriTraining\PythEveryone\PythonInArcGIS\Micro.jpg',
df,
world_file=True)
print "script complete!"
def makeMaps(rast, name):
fullrast = os.path.join(rootdir, rast)
if os.path.isfile(fullrast):
#cropAccList = [("alf", "Alfalfa"), ("dry", "Beans"), ("cot", "Cotton"), ("cor", "Corn"),
# ("pea", "Peas"), ("sil", "Corn Silage"), ("soy", "Soybeans"), ("wht", "Wheat")]
#yieldStabList = [("level", "Yield Level"), ("_stab", "Yield Stability"), ("t_var", "Temporal Variance")]
mxd = mapping.MapDocument(MXD) # get empty arcgis file
df = mapping.ListDataFrames(mxd, "*")[0]
for elm in mapping.ListLayoutElements(
mxd, "TEXT_ELEMENT"
): # loop through the elements in the mxd and set them
print "element: ", elm.name
if elm.name == "Title":
elm.text = "SALUS simulated VARIABLE, " + SC
#if elm.name == "Unstable":
# elm.elementPositionX = -5
#if elm.name == "total_area":
# elm.elementPositionX = -5
layer = mapping.Layer(fullrast) # add the raster layer to the mxd
mapping.AddLayer(df, layer, "TOP")
arcpy.RefreshTOC() # refresh
arcpy.RefreshActiveView()
# Load the symbology layer (from a file or create one from the raster on the fly)
#lyrname = SC + "_" + name
## Execute MakeFeatureLayer (save raster to lyr symbology file)
##arcpy.MakeRasterLayer_management(rast, lyrname, rootdir)
#outlyr = rast.replace(".tif",".tif.lyr")
outlyr = "mi_SC3_endvalue.tif.lyr"
outlyr = os.path.join(lyr_folder, outlyr)
sym_lay = mapping.Layer(
outlyr
) # lyrname (using lines above) # or I can skip the line above and call the full path name (if lyr file is already made)
lay_name = "Variable (units)"
#mapping.AddLayer(df, layer, "TOP")
updateLayer = mapping.ListLayers(mxd, "", df)[0]
update_layer(df, updateLayer, sym_lay, True)
apply_sym(
updateLayer, sym_lay
) # added symbology_only = True so that the layer becomes classified (symbology)??
updateLayer.name = lay_name
print "Added layer."
#style_stab = mapping.ListStyleItems("USER_STYLE", "Legend Items")[0]
legend = mapping.ListLayoutElements(mxd, "LEGEND_ELEMENT")[
0] # updates all legend items to the chosen style
for lyr in legend.listLegendItemLayers(): #[:3]:
# legend.updateItem(lyr, style_stab)
print "in legend: ", lyr.name
if "States" in lyr.name or "Counties" in lyr.name:
print "states is in legend"
legend.removeItem(lyr)
##############
endvarlist = ["avgGWAD", "avgCWAD"]
for var in endvarlist:
name = var + "_" + name
for lyr in mapping.ListLayers(
mxd, "", df)[:-1]: # -1 to avoid boundary layer
lyr.visible = True
print "layer name: ", lyr.name
# change the symbology value field
if lyr.symbologyType == "RASTER_CLASSIFIED": #, then create a variable reference to the RasterClassifiedSymbology class for that layer (lyrSymbolClass = lyr.symbology)
print "RASTER IS CLASSIFIED"
lyr.symbology.valueField = var
# first value is the minimum
#lyr.symbology.classBreakValues = [1, 60, 118, 165, 255]
# one less label than the classBreakValues
#lyr.symbology.classBreakLabels = ["1 to 60", "61 to 118",
# "119 to 165", "166 to 255"]
#lyr.symbology.classBreakDescriptions = ["Class A", "Class B",
# "Class C", "Class D"]
# lyr.symbology.excludedValues = '0'
#name_temp = lyr.name
#name = "{}.jpg".format(name_temp.replace(" ", "_"))
arcpy.RefreshTOC() # refresh the TOC and active view
arcpy.RefreshActiveView()
outjpeg = os.path.join(outdir, name)
mapping.ExportToJPEG(mxd,
outjpeg,
"PAGE_LAYOUT",
resolution=300,
jpeg_quality=100) #export to jpeg
lyr.visible = False # switch off layer
arcpy.RefreshTOC() # refresh again
arcpy.RefreshActiveView()
print "Created jpeg's of layers."
# Save a copy of the mxd with the layer in it to the MXDs directory
new_mxd_name = name + ".mxd"
new_mxd = os.path.join(newMXDdir, new_mxd_name)
arcpy.RefreshTOC() # refresh again
arcpy.RefreshActiveView()
mxd.saveACopy(new_mxd)
##################
# Save the mapp and its data to a single compressed .mpkx file
#MPK_name = name + ".mpk"
#MPK_name = os.path.join(MPKdir, MPK_name)
#print new_mxd
#print MPK_name
#arcpy.PackageMap_management(new_mxd, MPK_name, "PRESERVE", "CONVERT_ARCSDE", "#", "ALL") # crashes the script :(
del mxd
del df
print "Done with ", rast
print
arcpy.Delete_management("in_memory")
else:
print "This raster does not exist:", fullrast
# -*- coding: utf-8 -*-
"""
Created on Tue Jul 21 14:28:28 2020
@author: Lina
"""
import arcpy, os
from arcpy import mapping as m
arcpy.env.overwriteOutput = True
mapPath = r'C:\Users\Lina\Google Drive\Leo\2_SIG\MXD\PruebaBatchMapas\Prueba.mxd'
outpath = r'C:\Users\Lina\Google Drive\Leo\2_SIG\MXD\PruebaBatchMapas\Exports'
mxd = m.MapDocument(mapPath)
df = m.ListDataFrames(mxd)[0]
# Loop through layers
for lyr in m.ListLayers(mxd, 'GMRT3_*'):
lyr.visible = True
#lyr.showLabels = True # I'm assuming this is where you have the properties?
jpg = os.path.join(outpath, lyr.name + '.jpg')
m.ExportToJPEG(mxd, jpg)
#print('Exported %s') %jpg
lyr.visible = False
del mxd
import arcpy.mapping as mapping
mxd = mapping.MapDocument("CURRENT")
for df in mapping.ListDataFrames(mxd):
if df.name == "New_Micro":
mapping.ExportToJPEG(
mxd, r'C:\EsriTraining\PythEveryone\PythonInArcGIS\New_Micro.jpg',
df)
print "Script complete!"
def CreateMXD(srcMXD, srcSHPDirs, targetDir, srcLyrDirs, srcGeo, srcStyleName, srcXlsxWB, srcSubjects, srcLogo):
mxd = amp.MapDocument(srcMXD)
mxdDF0 = amp.ListDataFrames(mxd, "Main")[0]
mxdDF1 = amp.ListDataFrames(mxd, "Index")[0]
prCode = srcGeo['prCode']
coCode = srcGeo['coCode']
ciCode = srcGeo['ciCode']
shpCity = srcSHPDirs['shpCity']
shpCounty = srcSHPDirs['shpCounty']
shpCounties = srcSHPDirs['shpCounties']
shpRegion = srcSHPDirs['shpRegion']
lyrCity = srcLyrDirs['lyrCity']
lyrCounty = srcLyrDirs['lyrCounty']
lyrCounties = srcLyrDirs['lyrCounties']
srcLyrCity = amp.Layer(lyrCity)
srcLyrCounty = amp.Layer(lyrCounty)
srcLyrCounties = amp.Layer(lyrCounties)
mxdLayer00 = amp.Layer(shpRegion)
mxdLayer10 = amp.Layer(shpCity)
mxdLayer11 = amp.Layer(shpCounty)
mxdLayer12 = amp.Layer(shpCounties)
amp.AddLayer(mxdDF0, mxdLayer00, "TOP")
amp.AddLayer(mxdDF1, mxdLayer12, "TOP")
amp.AddLayer(mxdDF1, mxdLayer11, "TOP")
amp.AddLayer(mxdDF1, mxdLayer10, "TOP")
addLayer = amp.ListLayers(mxd, "", mxdDF1)[0]
amp.UpdateLayer(mxdDF0, addLayer, srcLyrCity, True)
addLayer = amp.ListLayers(mxd, "", mxdDF1)[1]
amp.UpdateLayer(mxdDF0, addLayer, srcLyrCounty, True)
addLayer = amp.ListLayers(mxd, "", mxdDF1)[2]
amp.UpdateLayer(mxdDF0, addLayer, srcLyrCounties, True)
addLayer = amp.ListLayers(mxd, "", mxdDF0)[0]
fields = arcpy.ListFields(shpRegion)
for field in fields:
fieldName = field.name
fieldCategory = fieldName[0:3]
if fieldCategory in srcSubjects:
lyrRegion = srcLyrDirs['lyrRegion'][fieldCategory]
srcLyrRegion = amp.Layer(lyrRegion)
amp.UpdateLayer(mxdDF0, addLayer, srcLyrRegion, True)
if addLayer.supports("LABELCLASSES"):
for labelClass in addLayer.labelClasses:
labelClass.showClassLabels = True
labelClass.expression = "\"<CLR red = '0' green = '0' blue = '0'><FNT size = '10' name = 'B Yekan'>\" & [areaCode] & \"</FNT></CLR>\""
addLayer.showLabels = True
arcpy.RefreshActiveView()
if addLayer.symbologyType == 'GRADUATED_COLORS':
addLayer.symbology.valueField = fieldName
labels = addLayer.symbology.classBreakLabels
try:
addLayer.symbology.classBreakLabels = createRanges(labels)
except:
print('Error in Symbology | %s' % fieldName)
style0 = amp.ListStyleItems("USER_STYLE", "Legend Items", srcStyleName)[0]
mxd_legend = amp.ListLayoutElements(mxd, "LEGEND_ELEMENT")[0]
mxd_legend.title = ""
mxd_legend.updateItem(addLayer, style0)
for element in amp.ListLayoutElements(mxd, "PICTURE_ELEMENT"):
elementName = element.name
if elementName == 'Logo':
element.sourceImage = srcLogo
variableKeys = srcXlsxWB.sheet_by_index(0).row(0)
colId = findInCellArray(variableKeys, fieldName)
mapTitles = srcXlsxWB.sheet_by_index(0).cell_value(1, colId)
for sheet in srcXlsxWB.sheets():
sheetName = sheet.name
if sheetName == 'total':
countryValue = sheet.cell_value(2, colId)
elif sheetName == 'province':
featureKeys = sheet.col(0)
rowId = findInCellArray(featureKeys, makeStandard(prCode))
provinceName = sheet.cell_value(rowId, 1)
provinceValue = sheet.cell_value(rowId, colId)
elif sheetName == 'county':
featureKeys = sheet.col(0)
rowId = findInCellArray(featureKeys, makeStandard(coCode))
countyName = sheet.cell_value(rowId, 1)
countyValue = sheet.cell_value(rowId, colId)
elif sheetName == 'city':
featureKeys = sheet.col(0)
rowId = findInCellArray(featureKeys, makeStandard(ciCode))
cityName = sheet.cell_value(rowId, 1)
cityName0 = cityName[0: len(cityName) - 1]
cityName1 = cityName[len(cityName) - 1]
if (isStrNumber(cityName1)):
cityName = Utf8ToUnicode('منطقه ') + cityName1 + Utf8ToUnicode('شهر ') + cityName0
else:
cityName = Utf8ToUnicode('شهر ') + cityName
cityValue = sheet.cell_value(rowId, colId)
elif sheetName == 'unit':
unitText = sheet.cell_value(2, colId)
for element in amp.ListLayoutElements(mxd, "TEXT_ELEMENT"):
elementName = element.name
if elementName == 'elLegend':
mapTitles = maskTitle(" ".join(mapTitles.split()))
defWidth = 8
element.fontSize = 16
element.text = mapTitles
if element.elementWidth >= defWidth:
words = mapTitles.split(' ')
lines = []
line = []
tmp = ''
itr = 0
while itr < len(words):
word = words[itr]
itr += 1
tmp += word + ' '
element.text = tmp
line.append(word)
if element.elementWidth >= defWidth:
line.pop()
lines.append(line)
line = []
tmp = ''
itr = itr - 1
if itr == len(words):
count = 0
for l in lines:
count += len(l)
if count < len(words):
lines.append(line)
mapTitlesNew = ''
for jj in range(0, len(lines)):
lineStr = " ".join(lines[jj])
mapTitlesNew += lineStr
if jj < len(lines) - 1:
mapTitlesNew += "\n"
element.text = mapTitlesNew
elif elementName == 'elUnit' or elementName == 'elUnit2':
element.text = unitText
elif elementName == 'countryValue':
element.text = round(countryValue,2)
elif elementName == 'elProvinceTitle':
element.text = Utf8ToUnicode('مناطق شهری استان ') + provinceName
elif elementName == 'provinceValue':
element.text = round(provinceValue,2)
elif elementName == 'elCountyTitle':
element.text = Utf8ToUnicode('مناطق شهری شهرستان ') + countyName
elif elementName == 'countyValue':
element.text = round(countyValue,2)
elif elementName == 'elCityTitle':
element.text = cityName
elif elementName == 'cityValue':
element.text = round(cityValue,2)
try:
mxd_name = targetDir['mxd'] + "//" + fieldName + ".mxd"
mxd.saveACopy(mxd_name)
except arcpy.ExecuteError:
print(arcpy.GetMessages())
try:
mxd_jpg_name = targetDir['jpg'] + fieldName + ".jpg"
amp.ExportToJPEG(mxd, mxd_jpg_name, resolution=300)
# multiprocessing.freeze_support()
# p = multiprocessing.Process(target=test, args=(mxd.__getattribute__('filePath'), mxd_jpg_name))
# p.start()
# p.join()
except arcpy.ExecuteError:
print(arcpy.GetMessages())
