Announcement: All noncommercial projects registered to use Earth Engine beforeApril 15, 2025 mustverify noncommercial eligibility to maintain access. If you have not verified by September 26, 2025, your access may be on hold.

ee.FeatureCollection.aggregate_mean

  • Aggregates over a given property of the objects in a collection, calculating the mean of the selected property.

  • Theaggregate_mean function takes aFeatureCollection and a stringproperty as arguments.

  • It returns a Number representing the mean of the specified property across the collection.

Aggregates over a given property of the objects in a collection, calculating the mean of the selected property.

UsageReturns
FeatureCollection.aggregate_mean(property)Number
ArgumentTypeDetails
this:collectionFeatureCollectionThe collection to aggregate over.
propertyStringThe property to use from each element of the collection.

Examples

Code Editor (JavaScript)

// FeatureCollection of power plants in Belgium.varfc=ee.FeatureCollection('WRI/GPPD/power_plants').filter('country_lg == "Belgium"');print('Mean of power plant capacities (MW)',fc.aggregate_mean('capacitymw'));// 201.342424242

Python setup

See the Python Environment page for information on the Python API and usinggeemap for interactive development.

importeeimportgeemap.coreasgeemap

Colab (Python)

# FeatureCollection of power plants in Belgium.fc=ee.FeatureCollection('WRI/GPPD/power_plants').filter('country_lg == "Belgium"')display('Mean of power plant capacities (MW):',fc.aggregate_mean('capacitymw'))# 201.342424242

Except as otherwise noted, the content of this page is licensed under theCreative Commons Attribution 4.0 License, and code samples are licensed under theApache 2.0 License. For details, see theGoogle Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2023-10-06 UTC.