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ee.FeatureCollection.aggregate_count_distinct
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
对集合中对象的指定属性进行汇总，计算所选属性的不同值数量。
| 用法 | 返回 |
|---|
FeatureCollection.aggregate_count_distinct(property) | 数字 |
| 参数 | 类型 | 详细信息 |
|---|
此：collection | FeatureCollection | 要汇总的集合。 |
property | 字符串 | 要从集合的每个元素中使用的属性。 |
示例
代码编辑器 (JavaScript)
// FeatureCollection of power plants in Belgium.
var fc = ee.FeatureCollection('WRI/GPPD/power_plants')
.filter('country_lg == "Belgium"');
print('Number of distinct power plant fuel sources',
fc.aggregate_count_distinct('fuel1')); // 7
Python 设置
如需了解 Python API 和如何使用 geemap 进行交互式开发，请参阅
Python 环境页面。
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('Number of distinct power plant fuel sources:',
fc.aggregate_count_distinct('fuel1').getInfo()) # 7
如未另行说明，那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可，并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情，请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC)：2025-07-26。
[null,null,["最后更新时间 (UTC)：2025-07-26。"],[[["\u003cp\u003eCounts the number of distinct values for a specified property within a FeatureCollection.\u003c/p\u003e\n"],["\u003cp\u003eAccepts a FeatureCollection and the property name as input.\u003c/p\u003e\n"],["\u003cp\u003eReturns the total count of distinct values as a number.\u003c/p\u003e\n"],["\u003cp\u003eUseful for understanding the variety of values within a dataset's property.\u003c/p\u003e\n"]]],["The `aggregate_count_distinct` method calculates the number of unique values for a specified property within a FeatureCollection. It takes a FeatureCollection as input and a property name (string) to evaluate. The method returns a numerical value representing the count of distinct values. For example, in a FeatureCollection of power plants, using `aggregate_count_distinct('fuel1')` returns the number of distinct fuel sources. In the provided example in Belgium it returned 7.\n"],null,["# ee.FeatureCollection.aggregate_count_distinct\n\nAggregates over a given property of the objects in a collection, calculating the number of distinct values for the selected property.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|--------------------------------------------------------|---------|\n| FeatureCollection.aggregate_count_distinct`(property)` | Number |\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('Number of distinct power plant fuel sources',\n fc.aggregate_count_distinct('fuel1')); // 7\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('Number of distinct power plant fuel sources:',\n fc.aggregate_count_distinct('fuel1').getInfo()) # 7\n```"]]
