ee.FeatureCollection.aggregate_array
Aggregates over a given property of the objects in a collection, calculating a list of all the values of the selected property.
Usage | Returns |
---|
FeatureCollection.aggregate_array(property) | List |
Argument | Type | Details |
---|
this: collection | FeatureCollection | The collection to aggregate over. |
property | String | The property to use from each element of the collection. |
Examples
// FeatureCollection of power plants in Belgium.
var fc = ee.FeatureCollection('WRI/GPPD/power_plants')
.filter('country_lg == "Belgium"');
print('Power plant fuel sources',
fc.aggregate_array('fuel1')); // ee.List
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
# FeatureCollection of power plants in Belgium.
fc = ee.FeatureCollection('WRI/GPPD/power_plants').filter(
'country_lg == "Belgium"')
print('Power plant fuel sources:',
fc.aggregate_array('fuel1').getInfo()) # ee.List
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["`aggregate_array()` compiles a list of all the values of a specified property from a FeatureCollection."],["It takes the FeatureCollection and the property name as inputs."],["The output is an `ee.List` object containing all the values of the chosen property across the collection's features."],["This function is helpful for understanding the distribution of a specific property within a dataset, like finding all fuel types used by power plants in a region."]]],["The `aggregate_array(property)` method computes a list of all values for a specified property across a FeatureCollection. It takes a FeatureCollection as input and a string representing the `property` name. The method returns a List containing the aggregated values. For example, using a collection of power plants, one can retrieve a list of fuel types by aggregating the \"fuel1\" property using both Javascript and python code.\n"]]