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ListTableViews

  • Resumen
  • Debate
  • Sintaxis
  • Muestra de código

Resumen

Returns a Python list of TableView objects that exist within a map document (.mxd).

Debate

ListTableViews always returns a list object even if only one table is returned. In order to return a TableView object, an index value must be used on the list (e.g., aTable = arcpy.mapping.ListTableViews(mxd)[0]). For loops on a list provide an easy mechanism to iterate through each item in the list (e.g., for aTable in arcpy.mapping.ListTableViews(mxd):).

Wildcards are used on the name property and are not case sensitive. A wildcard string of "so*" will return a layer with a name Soils. Wildcards can be skipped in the scripting syntax simply 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.

It is possible that there might be tables in a map document that have the same name. If that is the case, then other properties may need to be used to isolate a specific layer. Properties such as a tables's datasource or definitionQuery could be used to do this. It is ideal that all tables in a map document be uniquely named.

Sintaxis

ListTableViews (map_document, {wildcard}, {data_frame})
ParámetroExplicaciónTipo 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.

(El valor predeterminado es None)

String
data_frame

A variable that references a DataFrame object.

(El valor predeterminado es None)

DataFrame

Valor de retorno

Tipo de datosExplicación
TableView

A Python list of TableView objects.

Muestra de código

ListTableViews example

The following script finds a table called TrafficAccidents in a data frame named Transportation and sets a definition query.

import arcpy
mxd = arcpy.mapping.MapDocument(r"c:\project\project.mxd")
df = arcpy.mapping.ListDataFrames(mxd, "Transportation")[0]
table = arcpy.mapping.ListTableViews(mxd, "TrafficAccidents", df)[0]
table.definitionQuery = "[Accidents] > 5"
mxd.save()
del mxd

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