ValueTable
サマリ
A value table is a flexible object that can be used as input for a multivalue parameter. It exists only during the lifetime of the geoprocessing object that created it.
説明
setRow's value argument is space delimited. Any value used in the value argument that contains spaces must be enclosed in quotations. In the following example, a value table with two columns has a feature class and an index value added:
vtab.setRow(0, "'c:/temp/land use.shp' 2")
構文
パラメータ | 説明 | データ タイプ |
columns |
The number of columns. (デフォルト値は 1) | Integer |
プロパティ
プロパティ | 説明 | データ タイプ |
columnCount (読み取り専用) |
The number of columns. | Integer |
rowCount (読み取り専用) |
The number of rows. | Integer |
メソッドの概要
メソッド | 説明 |
addRow (value) |
Adds a row to the value table.
addRow's value argument is space-delimited. Any value used in the value argument that contains spaces must be enclosed in quotations. In the following example, a value table with two columns has a feature class and an index value added: |
exportToString () |
Exports the object to its string representation. |
getRow (row) |
Gets a row from the value table. |
getTrueValue (row, column) |
Gets value from a given column and row. |
getValue (row, column) |
Gets value from a given column and row. |
loadFromString (string) |
Restore the object using its string representation. The exportToString method can be used to create a string representation. |
removeRow (row) |
Deletes a row from the value table. |
setColumns (number_of_columns) |
Sets the number of columns for the value table. |
setRow (row, value) |
Updates a given row within the value table. setRow's value argument is space-delimited. Any value used in the value argument that contains spaces must be enclosed in quotations. In the following example, a value table with two columns has a feature class and an index value added: vtab.setRow(0, "'c:/temp/land use.shp' 2") |
setValue (row, column, value) |
Updates the value of a given row and column. |
メソッド
パラメータ | 説明 | データ タイプ |
value |
The row to be added. | Object |
データ タイプ | 説明 |
String |
The string representation of the object. |
パラメータ | 説明 | データ タイプ |
row |
The row index position. | Integer |
データ タイプ | 説明 |
String |
A row from the value table. |
パラメータ | 説明 | データ タイプ |
row |
The row index position. | Integer |
column |
The column index position. | Integer |
データ タイプ | 説明 |
String |
The value of a given column and row. |
パラメータ | 説明 | データ タイプ |
row |
The row index position. | Integer |
column |
The column index position. | Integer |
データ タイプ | 説明 |
String |
The value of a given column and row. |
パラメータ | 説明 | データ タイプ |
string |
The string representation of the object. | String |
パラメータ | 説明 | データ タイプ |
row |
The index position of the row to remove. | Integer |
パラメータ | 説明 | データ タイプ |
number_of_columns |
The number of columns for the value table. | Integer |
パラメータ | 説明 | データ タイプ |
row |
The index position of the row to update. | Integer |
value |
The value to update the given row. | Object |
パラメータ | 説明 | データ タイプ |
row |
The row index. | Integer |
column |
The column index | Integer |
value |
The value to update the given row and column. | Object |
コードのサンプル
Use ValueTable to hold feature class names and ranks for the Union tool.
import arcpy from arcpy import env # Set the workspace. List all of the feature classes in the dataset # env.workspace = "C:/Data/Landbase.gdb/Wetlands" fcs = arcpy.ListFeatureClasses() # Create the value table for the Analysis Union tool with 2 columns # vtab = arcpy.ValueTable(2) # Iterate through the list of feature classes # for fc in fcs: # Update the value table with a rank of 2 for each record, except # for BigBog # if fc.lower() <> "bigbog": vtab.addRow(fc + " 2") else: vtab.addRow(fc + " 1") # Union the wetlands feature classes with the land use feature class to create # a single feature class with all of the wetlands and land use data # vtab.addRow("C:/Data/Landbase.gdb/land_use 2") arcpy.Union_analysis(vtab, "C:/Data/Landbase.gdb/wetlands_use")
A value table can be populated with a multivalue string that has been passed to a script as an argument, making it easy to extract each record. The example below shows how to do this:
import arcpy from arcpy import env import os # Set the output workspace # env.workspace = arcpy.GetParameterAsText(1) # Create a value table with 2 columns # vtab = arcpy.ValueTable(2) # Set the values of the table with the contents of the first argument # vtab.loadFromString(arcpy.GetParameterAsText(0)) x = 1 # Loop through the list of inputs # while x < vtab.rowCount: # Validate the output name for the new workspace # name = vtab.getRow(x) out_name = arcpy.ValidateTablename(os.path.basename(name)) # Copy the features to the new workspace # arcpy.CopyFeatures_management(name, out_name) x += 1