Pengumuman: Semua project nonkomersial yang terdaftar untuk menggunakan Earth Engine sebelum
15 April 2025 harus
memverifikasi kelayakan nonkomersial untuk mempertahankan akses Earth Engine.
ee.FeatureCollection.remap
Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Memetakan ulang nilai properti tertentu dalam koleksi. Mengambil dua daftar paralel dan memetakan nilai yang ditemukan di satu daftar ke nilai di daftar lainnya. Setiap elemen dengan nilai yang tidak ditentukan dalam daftar pertama akan dihapus dari kumpulan output.
| Penggunaan | Hasil |
|---|
FeatureCollection.remap(lookupIn, lookupOut, columnName) | FeatureCollection |
| Argumen | Jenis | Detail |
|---|
ini: collection | FeatureCollection | Koleksi yang akan diubah. |
lookupIn | Daftar | Nilai pemetaan input. Dibatasi untuk string dan bilangan bulat. |
lookupOut | Daftar | Nilai pemetaan output. Harus berukuran sama dengan lookupIn. |
columnName | String | Nama properti yang akan dipetakan ulang. |
Contoh
Code Editor (JavaScript)
// 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);
Penyiapan Python
Lihat halaman
Lingkungan Python untuk mengetahui informasi tentang Python API dan penggunaan
geemap untuk pengembangan interaktif.
import ee
import geemap.core as geemap
Colab (Python)
# 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())
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[[["\u003cp\u003eRemaps property values in a FeatureCollection using parallel lists for input and output mappings.\u003c/p\u003e\n"],["\u003cp\u003eElements with values not found in the input mapping list (\u003ccode\u003elookupIn\u003c/code\u003e) are excluded from the output.\u003c/p\u003e\n"],["\u003cp\u003eAccepts FeatureCollections, input and output mapping lists, and the property name for remapping as arguments.\u003c/p\u003e\n"],["\u003cp\u003eUseful for classifying features based on specific property values and simplifying data representation.\u003c/p\u003e\n"]]],[],null,["# ee.FeatureCollection.remap\n\nRemaps 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.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|------------------------------------------------------------|-------------------|\n| FeatureCollection.remap`(lookupIn, lookupOut, columnName)` | FeatureCollection |\n\n| Argument | Type | Details |\n|--------------------|-------------------|---------------------------------------------------------------|\n| this: `collection` | FeatureCollection | The collection to be modified. |\n| `lookupIn` | List | The input mapping values. Restricted to strings and integers. |\n| `lookupOut` | List | The output mapping values. Must be the same size as lookupIn. |\n| `columnName` | String | The name of the property to remap. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// Classify features based on a string property.\n// The 'nonsense' category gets dropped.\nvar fc = ee.FeatureCollection([\n ee.Feature(ee.Geometry.Point([1, 2]), {isTree: 'Tree'}),\n ee.Feature(ee.Geometry.Point([3, 4]), {isTree: 'NotTree'}),\n ee.Feature(ee.Geometry.Point([5, 6]), {isTree: 'nonsense'}),\n]);\n\nvar trees = fc.remap(['NotTree', 'Tree'], [0, 1], 'isTree');\nprint('remapped trees', trees);\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\n# Classify features based on a string property.\n# The 'nonsense' category gets dropped.\nfc = ee.FeatureCollection([\n ee.Feature(ee.Geometry.Point([1, 2]), {'isTree': 'Tree'}),\n ee.Feature(ee.Geometry.Point([3, 4]), {'isTree': 'NotTree'}),\n ee.Feature(ee.Geometry.Point([5, 6]), {'isTree': 'nonsense'}),\n ])\n\ntrees = fc.remap(['NotTree', 'Tree'], [0, 1], 'isTree')\nprint('Remapped trees:', trees.getInfo())\n```"]]
