arcpy.locref.GenerateLRFeatureCount(in_route_features, effective_date, {summary_fields}, {feature_count_layers}, {exclude_null_summary_rows}, {output_format}, {out_file}, {out_table})
|
名前
|
説明
|
データ タイプ
|
|
in_route_features
|
フィーチャ数データ プロダクトの作成に使用されるルート フィーチャ。
|
Feature Layer
|
|
effective_date
|
ネットワークの時間ビューの定義に使用される日付。
デフォルト値は、今日の日付です。
|
Date
|
|
summary_fields
[summary_fields,...]
(オプション)
|
出力でサマリー行の名前の表示に使用されるフィールド。
値テーブル列:
Layer—The feature layer that will be used as the summary layer.
Field—The field that will be used to summarize the feature count.
Output Field Name—The summary field's display name in the output.
|
Value Table
|
|
feature_count_layers
[feature_count_layers,...]
(オプション)
|
ルート上のフィーチャの数を特定するときに使用されるレイヤー。
値テーブル列:
|
Value Table
|
|
exclude_null_summary_rows
(オプション)
|
NULL のサマリー行を出力から除外するかどうかを指定します。
|
Boolean
|
|
output_format
(オプション)
|
出力の形式を指定します。
|
String
|
|
out_file
(オプション)
|
フィーチャ数データ プロダクトが格納される出力 .csv ファイル。
|
File
|
|
out_table
(オプション)
|
フィーチャ数データ プロダクトが格納される出力ジオデータベース テーブル。
|
Table
|
コードのサンプル
GenerateLRFeatureCount の例 1 (スタンドアロン スクリプト)
次のスタンドアロン スクリプトは、スタンドアロン スクリプトで GenerateLRFeatureCount 関数を使用する方法を示しています。
# Name: GenerateLRFeatureCount_ex1.py
# Description: Create a feature count data product that provides the number of active anomalies, pipeline crossings, and DOT Class line events per route
# Requirements: ArcGIS Location Referencing
# Import arcpy module
import arcpy
# Set current workspace
arcpy.env.workspace = r"C:\Data\SampleData.gdb"
# Using the Anomaly point event feature class, create a feature layer that contains active anomalies, to be used as a feature count layer
arcpy.management.MakeFeatureLayer("Anomaly", "Anomaly_Active", "anomalystatus = 'Active'")
# Using the DOT Class line event feature class, create 3 feature layers, each representing a class type, to be used as feature count layers
arcpy.management.MakeFeatureLayer("DOTClass", "Class_A", "classtype = 1")
arcpy.management.MakeFeatureLayer("DOTClass", "Class_B", "classtype = 2")
arcpy.management.MakeFeatureLayer("DOTClass", "Class_C", "classtype = 3")
# Set tool variables
in_route_features = "EngineeringNetwork"
effective_date = "12/31/2024"
summary_fields = "Counties NAME Counties"
feature_count_layers = "Anomaly_Active 'Anomaly'; PipeCrossing 'Pipe Crossings'; Class_A 'Class A'; Class_B 'Class B'; Class_C 'Class C'"
exclude_null_summary_rows = "EXCLUDE"
output_format = "TABLE"
out_file = None
out_table = r"C:\Data\SampleData.gdb\FC1"
# Run the tool
arcpy.locref.GenerateLRFeatureCount(in_route_features, effective_date, summary_fields, feature_count_layers, exclude_null_summary_rows, output_format, out_file, out_table)
GenerateLRFeatureCount の例 2 (Python ウィンドウ)
次のスクリプトは、Python ウィンドウで GenerateLRFeatureCount 関数を使用する方法を示しています。
# Name: GenerateLRFeatureCount_ex2.py
# Description: Create a feature count data product that provides the number of bridges and intersections per route
# Requirements: ArcGIS Location Referencing
# Set tool variables
in_route_features = "CountyLog"
effective_date = "12/31/2024"
summary_fields = "Counties NAME Counties"
feature_count_layers = "Bridge_Point 'Bridges'; Intersections 'Intersections'"
exclude_null_summary_rows = "EXCLUDE"
output_format = "TABLE"
out_file = None
out_table = r"C:\Data\SampleData.gdb\FC2"
# Run the tool
arcpy.locref.GenerateLRFeatureCount(in_route_features, effective_date, summary_fields, feature_count_layers,
exclude_null_summary_rows, output_format, out_file, out_table)
GenerateLRFeatureCount の例 3 (スタンドアロン スクリプト)
次のスタンドアロン スクリプトは、フィーチャ サービスからのデータで GenerateLRFeatureCount 関数を使用する方法を示しています。
# Name: GenerateLRFeatureCount_ex3.py
# Description: Create a feature count data product that provides the number of active anomalies, pipeline casing material types, and crossing utility intersections per route
# Requirements: ArcGIS Location Referencing
# Import arcpy module
import arcpy
# Data is in a feature service. Signing in to the Enterprise portal is required to access the feature service
arcpy.SignInToPortal('https://yourdomain.com/portal', 'username', 'password')
# Map the LRS Network from the feature service. Here, 49 corresponds to the LRS Network's layer ID
in_route_features = r"https://yourdomain.com/server/rest/services/FeatureServiceName/FeatureServer/49"
# Create a feature layer from the Cities layer of the feature service to be used as the summary layer. Here, 21 corresponds to the Cities layer's layer ID
arcpy.management.MakeFeatureLayer(r"https://yourdomain.com/server/rest/services/FeatureServiceName/FeatureServer/21", "Cities")
# Create the feature layers from the feature service. The feature layers will be used as feature count layers
arcpy.management.MakeFeatureLayer(r"https://yourdomain.com/server/rest/services/FeatureServiceName/FeatureServer/18", "Anomaly_Active", "anomalystatus = 'Active'")
arcpy.management.MakeFeatureLayer(r"https://yourdomain.com/server/rest/services/FeatureServiceName/FeatureServer/54", "Casing_CastIron", "MATERIAL = 2")
arcpy.management.MakeFeatureLayer(r"https://yourdomain.com/server/rest/services/FeatureServiceName/FeatureServer/54", "Casing_Copper", "MATERIAL = 4")
arcpy.management.MakeFeatureLayer(r"https://yourdomain.com/server/rest/services/FeatureServiceName/FeatureServer/54", "Casing_Composite", "MATERIAL = 10")
arcpy.management.MakeFeatureLayer(r"https://yourdomain.com/server/rest/services/FeatureServiceName/FeatureServer/61", "Crossing_Utility_Intersection")
# Set tool variables
effective_date = "12/31/2024"
summary_fields = "Cities NAME Cities"
feature_count_layers = "Anomaly_Active 'Anomalies'; Casing_CastIron 'Cast Iron Casing'; Casing_Copper 'Copper Casing'; Casing_Composite 'Composite Casing'; Crossing_Utility_Intersection 'Crossing Utility Intersections'"
exclude_null_summary_rows = "EXCLUDE"
output_format = "CSV"
out_file = r"C:\Data\FC3.csv"
out_table = None
# Run the tool
arcpy.locref.GenerateLRFeatureCount(in_route_features, effective_date, summary_fields, feature_count_layers,
exclude_null_summary_rows, output_format, out_file, out_table)