Resumen
Returns a Python list of named tuples that provide access to each spatial bookmark's name and extent.
Debate
ListBookmarks always returns a Python list of named tuples. Each tuple provides the bookmark's name as a string and the bookmark's extent as an Extent object. In order to return a specific tuple, an index value must be used on the list (for example, bkmk = arcpy.mapping.ListBookmarks(mxd)[0]). For loops on a list provide an easy mechanism to iterate through each tuple in the list (for example, for bkmk in arcpy.mapping.ListBookmarks(mxd):).
Wildcards are used on the name property and are not case sensitive. A wildcard string of "so*" will return a spatial bookmark with the name South East. Wildcards can be skipped in the scripting syntax by passing an empty string (""), an asterisk (*), or entering wildcard=None, or nothing at all if it is the last optional parameter in the syntax.
Avoid having spatial bookmarks in a single data frame that have the same name because the name property is really the only practical way of identifying a spatial extent. Bookmarks can have the same name if they are in different data frames.
Sintaxis
ListBookmarks (map_document, {wildcard}, {data_frame})
Parámetro | Explicación | Tipo de datos |
map_document | A variable that references a MapDocument object. | MapDocument |
wildcard | A combination of asterisks (*) and characters can be used to help limit the results. It is used to filter spatial bookmark names. (El valor predeterminado es None) | String |
data_frame | A variable that references a DataFrame object. This is used to find a spatial bookmark associated with a specific data frame. (El valor predeterminado es None) | DataFrame |
Valor de retorno
Tipo de datos | Explicación |
List | A Python list of named tuples.
|
Muestra de código
ListBookmarks example 1
This script will print the name of each spatial bookmark in a data frame named Transportation. The wildcard parameter is skipped using a blank string.
import arcpy
mxd = arcpy.mapping.MapDocument(r"C:\Project\Project.mxd")
df = arcpy.mapping.ListDataFrames(mxd, "Transportation")[0]
for bkmk in arcpy.mapping.ListBookmarks(mxd, "", df):
print bkmk.name
del mxd
ListBookmarks example 2
Similar to example 1, the following script will loop through each bookmark in the Transportation data frame, set the data frame extent, and export the data frame to a JPEG file.
import arcpy
mxd = arcpy.mapping.MapDocument(r"C:\Project\Project.mxd")
df = arcpy.mapping.ListDataFrames(mxd, "Transportation")[0]
for bkmk in arcpy.mapping.ListBookmarks(mxd, data_frame=df):
df.extent = bkmk.extent
outFile = r"C:\Project\Output\\" + bkmk.name + ".jpg"
arcpy.mapping.ExportToJPEG(mxd, outFile, df)
del mxd
ListBookmarks example 3
This sample will convert each bookmark in a map document to a feature. The resulting feature class can be used for a variety of workflows, including use as a Data Driven Pages index layer for creating map books.
import arcpy, os
# The map with the bookmarks
mxd = arcpy.mapping.MapDocument(r"C:\Project\Counties.mxd")
# The output feature class to be created -
# This feature class will store the bookmarks as features
outFC = r'C:\Project\Counties.gdb\Bookmarks'
# A template feature class that contains the attribute schema
# Including a "Name" field to store the bookmark name
template = r'C:\Project\Counties.gdb\Template'
if arcpy.Exists(outFC):
arcpy.Delete_management(outFC)
arcpy.CreateFeatureclass_management(os.path.dirname(outFC),
os.path.basename(outFC),
"POLYGON", template,
spatial_reference=template)
cur = arcpy.da.InsertCursor(outFC, ["SHAPE@", "Name"])
array = arcpy.Array()
for bkmk in arcpy.mapping.ListBookmarks(mxd):
array.add(arcpy.Point(bkmk.extent.XMin, bkmk.extent.YMin))
array.add(arcpy.Point(bkmk.extent.XMin, bkmk.extent.YMax))
array.add(arcpy.Point(bkmk.extent.XMax, bkmk.extent.YMax))
array.add(arcpy.Point(bkmk.extent.XMax, bkmk.extent.YMin))
# To close the polygon, add the first point again
array.add(arcpy.Point(bkmk.extent.XMin, bkmk.extent.YMin))
cur.insertRow([arcpy.Polygon(array), bkmk.name])
array.removeAll()