Pengumuman: Semua project nonkomersial yang terdaftar untuk menggunakan Earth Engine sebelum
15 April 2025 harus
memverifikasi kelayakan nonkomersial untuk mempertahankan akses Earth Engine.
ee.FeatureCollection.aggregate_count
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Menggabungkan properti tertentu dari objek dalam koleksi, menghitung jumlah nilai non-null dari properti tersebut.
Penggunaan | Hasil |
---|
FeatureCollection.aggregate_count(property) | Angka |
Argumen | Jenis | Detail |
---|
ini: collection | FeatureCollection | Koleksi yang akan digabungkan. |
property | String | Properti yang akan digunakan dari setiap elemen koleksi. |
Contoh
Code Editor (JavaScript)
// FeatureCollection of power plants in Belgium.
var fc = ee.FeatureCollection('WRI/GPPD/power_plants')
.filter('country_lg == "Belgium"');
print('Number of non-null values for the fuel1 property',
fc.aggregate_count('fuel1')); // 66
Penyiapan Python
Lihat halaman
Lingkungan Python untuk mengetahui informasi tentang Python API dan penggunaan
geemap
untuk pengembangan interaktif.
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 non-null values for the fuel1 property:',
fc.aggregate_count('fuel1').getInfo()) # 66
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[[["\u003cp\u003e\u003ccode\u003eaggregate_count\u003c/code\u003e calculates the number of features in a collection with a non-null value for a specified property.\u003c/p\u003e\n"],["\u003cp\u003eIt takes a FeatureCollection and the property name as input.\u003c/p\u003e\n"],["\u003cp\u003eThe result is a single number representing the count of non-null values.\u003c/p\u003e\n"],["\u003cp\u003eThis function is useful for understanding data completeness and distribution for specific properties within a collection.\u003c/p\u003e\n"]]],[],null,["# ee.FeatureCollection.aggregate_count\n\nAggregates over a given property of the objects in a collection, calculating the number of non-null values of the property.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|-----------------------------------------------|---------|\n| FeatureCollection.aggregate_count`(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 non-null values for the fuel1 property',\n fc.aggregate_count('fuel1')); // 66\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 non-null values for the fuel1 property:',\n fc.aggregate_count('fuel1').getInfo()) # 66\n```"]]