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 doVariosTematicos(self):
'''
@param: self
@brief: Realiza el mapa con varios temáticos
@return: None
'''
if self.mode == 1: self.setTwoDataFrameMode()
layer_df1, layer_df2 = self.layers
fields = [
self.combo_comp_t1.currentText(),
self.combo_comp_t2.currentText()
]
filename = path.join(
self.export_folder,
'{}_vt_{}_{}_{}.pdf'.format(self.title, '_'.join(self.append_info),
*fields))
layer_df1.symbology.valueField = fields[0]
layer_df2.symbology.valueField = fields[1]
print 'VT Break Values', layer_df1.symbology.classBreakValues
print 'VT Break Values', layer_df2.symbology.classBreakValues
#layer_df1.symbology.classBreakValues = self.normalizeBreakValues(layer_df1.symbology.classBreakValues)
#layer_df2.symbology.classBreakValues = self.normalizeBreakValues(layer_df2.symbology.classBreakValues)
mapping.ExportToPDF(self.mxd, filename)
def doTematicoSimple(self):
'''
@param: self
@brief: Realiza el mapa temático simple
@return: None
'''
# Si está en modo (2 Layouts), pasamos a modo (1 Layout)
if self.mode == 2: self.setOneDataFrameMode()
layer_df1, _ = self.layers
# Hacemos que el DF ocupe todo el ancho si no hay leyenda
if not self.check_legend.isChecked():
self.dataframe1.elementWidth += self.legend_df1.elementWidth
field = self.combo_ts.currentText()
filename = path.join(
self.export_folder,
'{}_ts_{}_{}.pdf'.format(self.title, '_'.join(self.append_info),
field))
layer_df1.symbology.valueField = field
print 'TS Break Values', layer_df1.symbology.classBreakValues
#layer_df1.symbology.classBreakValues = self.normalizeBreakValues(layer_df1.symbology.classBreakValues)
#self.GRADUATED_COLORS.symbology.valueField = field
#arcpy.ApplySymbologyFromLayer_management(layer_df1, self.GRADUATED_COLORS)
mapping.ExportToPDF(self.mxd, filename)
# Volvemos a hacer que el dataframe ocupe el ancho original
# si no hay leyenda
if not self.check_legend.isChecked():
self.dataframe1.elementWidth -= self.legend_df1.elementWidth
def export_maps(mxd, btn_layer, btn_export_pdf, btn_export_png):
map_name = str(btn_layer.objectName())[6:]
if btn_export_png.isChecked() == True:
#print btn_layer.text(), ' Print PNG'
map.ExportToPNG(mxd, map_name+".png", resolution=300, \
transparent_color='255, 255, 255')
if btn_export_pdf.isChecked() == True:
#print btn_layer.text(), ' Print PDF'
map.ExportToPDF(mxd, map_name+".pdf" )
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 doNormalizacion(self):
'''
@param: self
@brief: Realiza el mapa de normalización
@return: None
'''
if self.mode == 2: self.setOneDataFrameMode()
layer_df1, _ = self.layers
# Hacemos que el DF ocupe todo el ancho si no hay leyenda
if not self.check_legend.isChecked():
self.dataframe1.elementWidth += self.legend_df1.elementWidth
fields = [
self.combo_norm_c1.currentText(),
self.combo_norm_c2.currentText()
]
filename = path.join(
self.export_folder,
'{}_norm_{}_{}_{}.pdf'.format(self.title,
'_'.join(self.append_info), *fields))
layer_df1.symbology.valueField = fields[0]
layer_df1.symbology.normalization = fields[1]
#layer_df1.symbology.numClasses = 5
print 'NORM Break Values', layer_df1.symbology.classBreakValues
#layer_df1.symbology.classBreakValues = self.normalizeBreakValues(layer_df1.symbology.classBreakValues)
mapping.ExportToPDF(self.mxd, filename)
# Ponemos normalización igual a None
# Así no afectará a próximos mapas
layer_df1.symbology.normalization = None
# Volvemos a hacer que el dataframe ocupe el ancho original
# si no hay leyenda
if not self.check_legend.isChecked():
self.dataframe1.elementWidth -= self.legend_df1.elementWidth
df = map.ListDataFrames(mxd)[0] #acceso al primer mapa de la lista (dataframe) #Acceso a la primera y ultima capa de la lista lista_capas = map.ListLayers (mxd,"",df) #acceso a la lista de capas n = len(lista_capas) #numero de capas primera = lista_capas[0] #primera capa (la de arriba) ultima = lista_capas[n-1] #ultima capa (la de abajo) #Desplazamiento de la capa map.MoveLayer(df,primera,ultima,'BEFORE') #Refresco de la vista y de la TOC (solo si mxd = 'CURRENT' arcpy.RefreshActiveView() arcpy.RefreshTOC() #Exportar mapa a pdf map.ExportToPDF(mxd, "C:/Projecto/Output/mapa.pdf") #liberacion de memoria del mxd, df, primera, ultima #------------------------------------------------------------------------------- # DESCRIBE LAYERS #------------------------------------------------------------------------------- import arcpy import arcpy.mapping as map #cambio el nombre del modulo #Definicion de variables ruta_mxd = r'C:\asignaturas\sig1\2013-2014\cuatrimestre B\teoria\MT2\2_acceso_mapa\castilla_leon.mxd' mxd = map.MapDocument(ruta_mxd) #acceso al proyecto df = map.ListDataFrames(mxd)[0] #acceso al primer mapa de la lista (dataframe) #Acceso a la primera y ultima capa de la lista
'48': 'Edmonton',
'59': 'Vancouver',
'60': 'Vancouver',
'61': 'Edmonton',
'62': 'Edmonton'
} # Parses province code into destination city
map_count = 0
for mxd_name in metrics_df['MXD_NAME']: # Loop over the True MXD's and
pdf_name = mxd_name.split('.')[0] # Get the base name for the pdf
prcode = pdf_name.split('-')[4][:2] # Determine Province code
print 'PDFing {}'.format(mxd_name)
if '_CSD202103.mxd' not in mxd_name:
mxd_name = mxd_name.split(
'.'
)[0] + '_CSD202103.mxd' # this is here because I made a mistake not adding this to the metrics doc
mxd_path = os.path.join(working_directory,
mxd_name) # make path to mxd from components
mxd = mp.MapDocument(mxd_path) # Make mxd object
pdf_path = os.path.join(out_dir, destination_dict[prcode],
pdf_name + '.pdf') # Build PDF path
mp.ExportToPDF(mxd, pdf_path) # Export map as PDF
map_count += 1
print 'Total # of maps updated ' + str(map_count)
print 'DONE!'
if graphic.name == "txt_vode":
graphic.text = str(cod)
if graphic.name == "txt_area":
graphic.text = str('% .2f' % area) + " KM2"
if graphic.name == "txt_perimeter":
graphic.text = str('% .2f' % perimeter) + " KM"
graphic_list2 = map.ListLayoutElements(mxd, "GRAPHIC_ELEMENT")
graph_width1a = 15
graph_width1b = 0
graph_width2a = 15
graph_width2b = 0
## for graph in graphic_list2:
## if graphic.name == "graph1_pop1":
## graphic.width =
map.ExportToPDF(mxd,
"C:\Users\laboratorios\ELVLC\session6" + name + ".pdf")
row = cur.next()
#-------------------------------------------------------------------------------
# GRAPHIC ELEMENT
#-------------------------------------------------------------------------------
import arcpy
import arcpy.mapping as map
path = r"C:\Users\laboratorios\ELVLC\session6\session6.mxd"
mxd = map.MapDocument(path)
graphic_list = map.ListLayoutElements(mxd, "TEXT_ELEMENT")
for graphic in graphic_list:
## if graphic.name !="":
print(el.name)
# 4 更新布局元素的属性
import arcpy.mapping as mapping
mxd = mapping.MapDocument(
r"E:\ArcPyStudy\Data\ArcpyBook\Ch2\Crime_Ch2_new.mxd")
elLeg = mapping.ListLayoutElements(mxd, "LEGEND_ELEMENT", "*Crime*")[0]
elLeg.title = "Crime by School District"
for item in elLeg.listLegendItemLayers():
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
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)
string =str(vv) if isinstance(vv,int) else vv
cell_text_clone.text = add_style(styleDict,key,string.strip(),fontsize)
cell_text_clone.elementPositionX = cell_coords[i][ii][0]
cell_text_clone.elementPositionY = cell_coords[i][ii][1]
#exporting map
arcpy.RefreshActiveView()
export_dir = r"G:\GSC\Projects\BisWorking\kitchen\IndustrialLands\pdf"
pdf_name =mxd.title+"_"+ lga+".pdf"
pdf_path = os.path.join(export_dir,pdf_name)
#remove if exists
if os.path.exists(pdf_path):
os.remove(pdf_path)
mapping.ExportToPDF(mxd, pdf_path, resolution = 300)
print "Map {} Exported!".format(pdf_name)
delete_clone_elements(mxd)
print "Completed!"
# Author: Eric
#
# Created: 05/04/2018
# Copyright: (c) Eric 2018
# Licence: <your licence>
#-------------------------------------------------------------------------------
#import module
import arcpy.mapping as mapping, os
#reference currently active map document
mxd = mapping.MapDocument("CURRENT")
# retrieve the crime data frame
df = mapping.ListDataFrames(mxd, "Crime")[0]
# generate DataFrameTime object
dft = df.time
# set current time property to start time property
dft.currentTime = dft.startTime
# start a while loop while current time is less than or equal to end time
while dft.currentTime <= dft.endTime:
# create a file for each PDF to be created
# and reset current time property
fileName = str(dft.currentTime).split(" ")[0] + ".pdf"
mapping.ExportToPDF(mxd, os.path.join(r"c:\ArcPyBook\Ch2", fileName),df)
print("Exported " + fileName)
dft.currentTime = df.time.currentTime + dft.timeStepInterval
#Original
strInFileDirectory = raw_input("In Directory: ")
strOutFileDirectory = raw_input("Out Directory: ")
count = 0
for (dirname, dirs, files) in os.walk(strInFileDirectory):
# print dirname
# print dirs
# print files
# print "\n"
# print dirname
for filename in files:
if filename.endswith(".mxd"): # & count <= 1
#Needed to first rename the files to be distinct by adding the data date. Did this just once.
# strNewName = dirname[-8:] + filename
# os.rename(os.path.join(dirname,filename),os.path.join(dirname,strNewName))
strMXDPath = os.path.join(dirname, filename)
mapDoc = mapping.MapDocument(strMXDPath)
strRootMXDName = filename[0:-4] + ".pdf"
strNewPdfPath = os.path.join(strOutFileDirectory, strRootMXDName)
try:
mapping.ExportToPDF(map_document=mapDoc, out_pdf=strNewPdfPath)
except:
print "problem exporting to pdf"
count += 1
print "MXD printed: {}, count={}".format(filename, count)
del mapDoc
print "All Done"
sys.exit()
#feature iteration (cursor)
cursor = arcpy.SearchCursor(layer, query)
name_mun = ''
population = 0
for row in cursor:
name_mun = row.getValue('NOMBRE')
population = row.getValue('POB95')
#template processing
for graphic in map.ListLayoutElements(mxd):
if graphic.name == 'txt_name':
graphic.text = name_mun
if graphic.name == 'txt_population':
graphic.text = population
#export result to pdf file
map.ExportToPDF(
mxd,
r'E:\asignaturas\master\DAS\2016-2017\temario_ingles\session4\theory\map.pdf'
)
#-------------------------------------------------------------------------------
# DEM MANAGEMENT
#-------------------------------------------------------------------------------
import arcpy
arcpy.env.overwriteOutput = True
#workspace
input_folder = r"C:\DAS\DATA\64032"
#output_folder
output_folder = r"C:\DAS\DATA\64032\results"
spot = input_folder + "\\64032puntos_cota.shp ELEVACI?N <none> masspoints false"
contours = input_folder + "\\64032curvas_nivel.shp ELEVACI?N <none> softline false"
legend.elementPositionY = 4.9
for item in legend.listLegendItemLayers():
legend.updateItem(item,
styleItem,
show_feature_count=True)
## if item.name == str(Cfc):
## legend.removeItem(item)
## if item.name == str(Officialfc) or item.name == str(RMSHDfc):
## legend.updateItem(item, show_feature_count = True)
#Refresh TOC and ActiveView
arcpy.RefreshActiveView()
arcpy.RefreshTOC()
map.ExportToPDF(
mxd, r"C:/gc_work/evl/Outputs/" + floodmodel +
"_" + name + ".pdf")
map.RemoveLayer(df, InputBuildingLayer_temp)
map.RemoveLayer(df, InputRMSHDFishnetLayer_temp)
map.RemoveLayer(df, InputOfficialFishnetLayer_temp)
map.RemoveLayer(df, InputCityLayer_temp)
map.RemoveLayer(df, BuildingLayer)
map.RemoveLayer(df, RMSHDFishnetLayer)
map.RemoveLayer(df, OfficialFishnetLayer)
map.RemoveLayer(df, CityLayer)
## mxd.save()
del InputBuildingLayer_temp, InputRMSHDFishnetLayer_temp, InputOfficialFishnetLayer_temp, InputCityLayer_temp
del BuildingLayer, RMSHDFishnetLayer, OfficialFishnetLayer, CityLayer
import arcpy.mapping as mapping
mxd = mapping.MapDocument("CURRENT")
for df in mapping.ListDataFrames(mxd):
if df.name == "New_Micro":
mapping.ExportToPDF(
mxd, r"C:\\EsriTraining\\PythEveryone\\PythonInArcGIS\\New.pdf",
df)
print "list"
import arcpy.mapping as mapping
mxd = mapping.MapDocument("CURRENT")
mapping.ExportToPDF(
mxd, r'C:\EsriTraining\PythEveryone\PythonInArcGIS\Map_PageLayout.pdf')
