ee.FeatureCollection.aggregate_count_distinct

  • Counts the number of distinct values for a specified property within a FeatureCollection.

  • Accepts a FeatureCollection and the property name as input.

  • Returns the total count of distinct values as a number.

  • Useful for understanding the variety of values within a dataset's property.

 Aggregates over a given property of the objects in a collection, calculating the number of distinct values for the selected property.

UsageReturns
FeatureCollection.aggregate_count_distinct(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.
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 setup

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

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