ee.FeatureCollection.remap
Remaps the value of a specific property in a collection. Takes two parallel lists and maps values found in one to values in the other. Any element with a value that is not specified in the first list is dropped from the output collection.
Usage | Returns |
---|
FeatureCollection.remap(lookupIn, lookupOut, columnName) | FeatureCollection |
Argument | Type | Details |
---|
this: collection | FeatureCollection | The collection to be modified. |
lookupIn | List | The input mapping values. Restricted to strings and integers. |
lookupOut | List | The output mapping values. Must be the same size as lookupIn. |
columnName | String | The name of the property to remap. |
Examples
// Classify features based on a string property.
// The 'nonsense' category gets dropped.
var fc = ee.FeatureCollection([
ee.Feature(ee.Geometry.Point([1, 2]), {isTree: 'Tree'}),
ee.Feature(ee.Geometry.Point([3, 4]), {isTree: 'NotTree'}),
ee.Feature(ee.Geometry.Point([5, 6]), {isTree: 'nonsense'}),
]);
var trees = fc.remap(['NotTree', 'Tree'], [0, 1], 'isTree');
print('remapped trees', trees);
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
# Classify features based on a string property.
# The 'nonsense' category gets dropped.
fc = ee.FeatureCollection([
ee.Feature(ee.Geometry.Point([1, 2]), {'isTree': 'Tree'}),
ee.Feature(ee.Geometry.Point([3, 4]), {'isTree': 'NotTree'}),
ee.Feature(ee.Geometry.Point([5, 6]), {'isTree': 'nonsense'}),
])
trees = fc.remap(['NotTree', 'Tree'], [0, 1], 'isTree')
print('Remapped trees:', trees.getInfo())
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["Remaps property values in a FeatureCollection using parallel lists for input and output mappings."],["Elements with values not found in the input mapping list (`lookupIn`) are excluded from the output."],["Accepts FeatureCollections, input and output mapping lists, and the property name for remapping as arguments."],["Useful for classifying features based on specific property values and simplifying data representation."]]],[]]