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_stats
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Menggabungkan properti tertentu dari objek dalam koleksi, menghitung jumlah, min, maks, rata-rata, simpangan baku sampel, varians sampel, simpangan baku total, dan varians total dari properti yang dipilih.
| Penggunaan | Hasil |
|---|
FeatureCollection.aggregate_stats(property) | Kamus |
| 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('Power plant capacities (MW) summary stats',
fc.aggregate_stats('capacitymw'));
/**
* Expected ee.Dictionary output
*
* {
* "max": 2910,
* "mean": 201.34242424242427,
* "min": 1.8,
* "sample_sd": 466.4808892319684,
* "sample_var": 217604.42001864797,
* "sum": 13288.600000000002,
* "sum_sq": 16819846.24,
* "total_count": 66,
* "total_sd": 462.9334545609107,
* "total_var": 214307.38335169878,
* "valid_count": 66,
* "weight_sum": 66,
* "weighted_sum": 13288.600000000002
* }
*/
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)
from pprint import pprint
# FeatureCollection of power plants in Belgium.
fc = ee.FeatureCollection('WRI/GPPD/power_plants').filter(
'country_lg == "Belgium"')
print('Power plant capacities (MW) summary stats:')
pprint(fc.aggregate_stats('capacitymw').getInfo())
# Expected ee.Dictionary output
# {
# "max": 2910,
# "mean": 201.34242424242427,
# "min": 1.8,
# "sample_sd": 466.4808892319684,
# "sample_var": 217604.42001864797,
# "sum": 13288.600000000002,
# "sum_sq": 16819846.24,
# "total_count": 66,
# "total_sd": 462.9334545609107,
# "total_var": 214307.38335169878,
# "valid_count": 66,
# "weight_sum": 66,
# "weighted_sum": 13288.600000000002
# }
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\u003eCalculates descriptive statistics (sum, min, max, mean, standard deviation, and variance) 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 a dictionary containing the calculated statistics.\u003c/p\u003e\n"],["\u003cp\u003eUseful for understanding the distribution and central tendency of a property across features.\u003c/p\u003e\n"],["\u003cp\u003eExamples demonstrate using the function with power plant data to calculate capacity statistics.\u003c/p\u003e\n"]]],[],null,["# ee.FeatureCollection.aggregate_stats\n\nAggregates over a given property of the objects in a collection, calculating the sum, min, max, mean, sample standard deviation, sample variance, total standard deviation and total variance of the selected property.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|-----------------------------------------------|------------|\n| FeatureCollection.aggregate_stats`(property)` | Dictionary |\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 capacities (MW) summary stats',\n fc.aggregate_stats('capacitymw'));\n\n/**\n * Expected ee.Dictionary output\n *\n * {\n * \"max\": 2910,\n * \"mean\": 201.34242424242427,\n * \"min\": 1.8,\n * \"sample_sd\": 466.4808892319684,\n * \"sample_var\": 217604.42001864797,\n * \"sum\": 13288.600000000002,\n * \"sum_sq\": 16819846.24,\n * \"total_count\": 66,\n * \"total_sd\": 462.9334545609107,\n * \"total_var\": 214307.38335169878,\n * \"valid_count\": 66,\n * \"weight_sum\": 66,\n * \"weighted_sum\": 13288.600000000002\n * }\n */\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\nfrom pprint import pprint\n\n# FeatureCollection of power plants in Belgium.\nfc = ee.FeatureCollection('WRI/GPPD/power_plants').filter(\n 'country_lg == \"Belgium\"')\n\nprint('Power plant capacities (MW) summary stats:')\npprint(fc.aggregate_stats('capacitymw').getInfo())\n\n# Expected ee.Dictionary output\n\n# {\n# \"max\": 2910,\n# \"mean\": 201.34242424242427,\n# \"min\": 1.8,\n# \"sample_sd\": 466.4808892319684,\n# \"sample_var\": 217604.42001864797,\n# \"sum\": 13288.600000000002,\n# \"sum_sq\": 16819846.24,\n# \"total_count\": 66,\n# \"total_sd\": 462.9334545609107,\n# \"total_var\": 214307.38335169878,\n# \"valid_count\": 66,\n# \"weight_sum\": 66,\n# \"weighted_sum\": 13288.600000000002\n# }\n```"]]
