ee.FeatureCollection.makeArray
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Fügen Sie jedem Feature in einer Sammlung ein eindimensionales Array hinzu, indem Sie eine Liste von Attributen für jedes Feature in einem eindimensionalen Array kombinieren. Alle Attribute müssen numerische Werte sein. Wenn ein Feature nicht alle benannten Attribute enthält oder eines der Attribute nicht numerisch ist, wird das Feature aus der resultierenden Sammlung entfernt.
Nutzung | Ausgabe |
---|
FeatureCollection.makeArray(properties, name) | FeatureCollection |
Argument | Typ | Details |
---|
So gehts: collection | FeatureCollection | Die Eingabesammlung, aus der Attribute ausgewählt werden. |
properties | Liste | Die auszuwählenden Attribute. |
name | String, Standard: „array“ | Der Name der neuen Array-Eigenschaft. |
Beispiele
Code-Editor (JavaScript)
// FeatureCollection of power plants in Belgium.
var fc = ee.FeatureCollection('WRI/GPPD/power_plants')
.filter('country_lg == "Belgium"');
// A list of feature properties to combine into an array
// (power generation by year).
var properties = ['gwh_2013', 'gwh_2014', 'gwh_2015', 'gwh_2016'];
// Add array of power-generation-by-year property to features.
fc = fc.makeArray(properties, 'gwh_by_year');
print('FeatureCollection with array of selected properties added', fc);
print('See example of new "gwh_by_year" property', fc.first().toDictionary());
Python einrichten
Informationen zur Python API und zur Verwendung von geemap
für die interaktive Entwicklung finden Sie auf der Seite
Python-Umgebung.
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"')
# A list of feature properties to combine into an array
# (power generation by year).
properties = ['gwh_2013', 'gwh_2014', 'gwh_2015', 'gwh_2016']
# Add array of power-generation-by-year property to features.
fc = fc.makeArray(properties, 'gwh_by_year')
print('FeatureCollection with array of selected properties added:',
fc.getInfo())
print('See example of new "gwh_by_year" property:')
pprint(fc.first().toDictionary().getInfo())
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Zuletzt aktualisiert: 2025-07-26 (UTC).
[null,null,["Zuletzt aktualisiert: 2025-07-26 (UTC)."],[[["\u003cp\u003e\u003ccode\u003emakeArray()\u003c/code\u003e combines specified numeric properties of features within a FeatureCollection into a new 1-D array property.\u003c/p\u003e\n"],["\u003cp\u003eFeatures lacking any of the specified properties, or containing non-numeric values in those properties, are excluded from the output.\u003c/p\u003e\n"],["\u003cp\u003eThe resulting FeatureCollection contains the original features with an added array property holding the combined values.\u003c/p\u003e\n"],["\u003cp\u003eThe array property is named using the 'name' argument, defaulting to "array" if not provided.\u003c/p\u003e\n"]]],[],null,["# ee.FeatureCollection.makeArray\n\nAdd a 1-D Array to each feature in a collection by combining a list of properties for each feature into a 1-D Array. All of the properties must be numeric values. If a feature doesn't contain all of the named properties, or any of them aren't numeric, the feature will be dropped from the resulting collection.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|-----------------------------------------------------|-------------------|\n| FeatureCollection.makeArray`(properties, `*name*`)` | FeatureCollection |\n\n| Argument | Type | Details |\n|--------------------|--------------------------|--------------------------------------------------------------|\n| this: `collection` | FeatureCollection | The input collection from which properties will be selected. |\n| `properties` | List | The properties to select. |\n| `name` | String, default: \"array\" | The name of the new array property. |\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\n// A list of feature properties to combine into an array\n// (power generation by year).\nvar properties = ['gwh_2013', 'gwh_2014', 'gwh_2015', 'gwh_2016'];\n\n// Add array of power-generation-by-year property to features.\nfc = fc.makeArray(properties, 'gwh_by_year');\n\nprint('FeatureCollection with array of selected properties added', fc);\nprint('See example of new \"gwh_by_year\" property', fc.first().toDictionary());\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\n# A list of feature properties to combine into an array\n# (power generation by year).\nproperties = ['gwh_2013', 'gwh_2014', 'gwh_2015', 'gwh_2016']\n\n# Add array of power-generation-by-year property to features.\nfc = fc.makeArray(properties, 'gwh_by_year')\n\nprint('FeatureCollection with array of selected properties added:',\n fc.getInfo())\nprint('See example of new \"gwh_by_year\" property:')\npprint(fc.first().toDictionary().getInfo())\n```"]]