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FeatureSet

サマリ

FeatureSet objects are a lightweight representation of a feature class. They are a special data element that contains not only schema, but also the data. The FeatureSet object is also how feature data is sent and received from the server.

説明

構文

 FeatureSet  ({table})
パラメータ説明データ タイプ
table

Feature data to be loaded into the FeatureSet object.

String

特性

プロパティ説明データ タイプ
JSON
(読み取り専用)

Returns an Esri JSON representation of the geometry as a string.

String

メソッドの概要

メソッド説明
load (table_path)

Import from a table.

save (table_path)

Export to a table.

メソッド

load (table_path)
パラメータ説明データ タイプ
table_path

The table to be imported.

String
save (table_path)
パラメータ説明データ タイプ
table_path

The output table to be created.

String

コードのサンプル

FeatureSet example

Load data into a FeatureSet and insert into feature class.

import arcpy

arcpy.env.overwriteOutput = True

arcpy.ImportToolbox("http://flame7/arcgis/services;BufferByVal",
                    "servertools")

# List of coordinates
coordinates = [[-117.196717216, 34.046944853],
               [-117.186226483, 34.046498438],
               [-117.179530271, 34.038016569],
               [-117.187454122, 34.039132605],
               [-117.177744614, 34.056765964],
               [-117.156205131, 34.064466609],
               [-117.145491191, 34.068261129],
               [-117.170825195, 34.073618099],
               [-117.186784501, 34.068149525],
               [-117.158325598, 34.03489167]]

# Create an in_memory feature class to initially contain the coordinate pairs
feature_class = arcpy.CreateFeatureclass_management(
    "in_memory", "tempfc", "POINT")[0]

# Open an insert cursor
with arcpy.da.InsertCursor(feature_class, ["SHAPE@XY"]) as cursor:
    # Iterate through list of coordinates and add to cursor
    for (x, y) in coordinates:
        cursor.insertRow([(x, y)])

# Create a FeatureSet object and load in_memory feature class
feature_set = arcpy.FeatureSet()
feature_set.load(feature_class)

results = arcpy.BufferPoints_servertools(feature_set)

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