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ee.FeatureCollection.aggregate_array
透過集合功能整理內容
你可以依據偏好儲存及分類內容。
匯總集合中物件的指定屬性，並計算所選屬性的所有值清單。
| 用量 | 傳回 |
|---|
FeatureCollection.aggregate_array(property) | 清單 |
| 引數 | 類型 | 詳細資料 |
|---|
這個：collection | FeatureCollection | 要匯總的集合。 |
property | 字串 | 要從集合的每個元素使用的屬性。 |
範例
程式碼編輯器 (JavaScript)
// FeatureCollection of power plants in Belgium.
var fc = ee.FeatureCollection('WRI/GPPD/power_plants')
.filter('country_lg == "Belgium"');
print('Power plant fuel sources',
fc.aggregate_array('fuel1')); // ee.List
Python 設定
請參閱
Python 環境頁面，瞭解 Python API 和如何使用 geemap 進行互動式開發。
import ee
import geemap.core as geemap
Colab (Python)
# FeatureCollection of power plants in Belgium.
fc = ee.FeatureCollection('WRI/GPPD/power_plants').filter(
'country_lg == "Belgium"')
print('Power plant fuel sources:',
fc.aggregate_array('fuel1').getInfo()) # ee.List
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上次更新時間：2025-07-26 (世界標準時間)。
[null,null,["上次更新時間：2025-07-26 (世界標準時間)。"],[[["\u003cp\u003e\u003ccode\u003eaggregate_array()\u003c/code\u003e compiles a list of all the values of a specified property from a FeatureCollection.\u003c/p\u003e\n"],["\u003cp\u003eIt takes the FeatureCollection and the property name as inputs.\u003c/p\u003e\n"],["\u003cp\u003eThe output is an \u003ccode\u003eee.List\u003c/code\u003e object containing all the values of the chosen property across the collection's features.\u003c/p\u003e\n"],["\u003cp\u003eThis function is helpful for understanding the distribution of a specific property within a dataset, like finding all fuel types used by power plants in a region.\u003c/p\u003e\n"]]],["The `aggregate_array(property)` method computes a list of all values for a specified property across a FeatureCollection. It takes a FeatureCollection as input and a string representing the `property` name. The method returns a List containing the aggregated values. For example, using a collection of power plants, one can retrieve a list of fuel types by aggregating the \"fuel1\" property using both Javascript and python code.\n"],null,["# ee.FeatureCollection.aggregate_array\n\nAggregates over a given property of the objects in a collection, calculating a list of all the values of the selected property.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|-----------------------------------------------|---------|\n| FeatureCollection.aggregate_array`(property)` | List |\n\n| Argument | Type | Details |\n|--------------------|-------------------|----------------------------------------------------------|\n| this: `collection` | FeatureCollection | The collection to aggregate over. |\n| `property` | String | The property to use from each element of the collection. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// FeatureCollection of power plants in Belgium.\nvar fc = ee.FeatureCollection('WRI/GPPD/power_plants')\n .filter('country_lg == \"Belgium\"');\n\nprint('Power plant fuel sources',\n fc.aggregate_array('fuel1')); // ee.List\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\n# FeatureCollection of power plants in Belgium.\nfc = ee.FeatureCollection('WRI/GPPD/power_plants').filter(\n 'country_lg == \"Belgium\"')\n\nprint('Power plant fuel sources:',\n fc.aggregate_array('fuel1').getInfo()) # ee.List\n```"]]
