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ee.Array.accum
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Accumula gli elementi di un array lungo l'asse specificato, impostando ogni elemento del risultato sulla riduzione degli elementi lungo quell'asse fino alla posizione corrente inclusa. Può essere utilizzato per creare una somma cumulativa, una sequenza crescente in modo monotono e così via.
Utilizzo | Resi |
---|
Array.accum(axis, reducer) | Array |
Argomento | Tipo | Dettagli |
---|
questo: array | Array | Array da accumulare. |
axis | Numero intero | Asse lungo il quale eseguire l'accumulo. |
reducer | Riduttore, valore predefinito: null | Funzione di riduzione per accumulare i valori. Il valore predefinito è SUM, per produrre la somma cumulativa di ogni vettore lungo l'asse specificato. |
Esempi
Editor di codice (JavaScript)
print(ee.Array([-1]).accum(0)); // [-1]
print(ee.Array([-2, 1]).accum(0)); // [-2, -1]
print(ee.Array([-2, 1, 9]).accum(0)); // [-2, -1, 8]
// accum over 2D arrays with different axes.
print(ee.Array([[1, 3], [5, 7]]).accum(0)); // [[1,3],[6,10]]
print(ee.Array([[1, 3], [5, 7]]).accum(1)); // [[1,4],[5,12]]
// sum is the default reducer.
print(ee.Array([2, -2, 3, 1]).accum(0)); // [2,0,3,4]
print(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.sum())); // [2,0,3,4]
// Some example reducers.
print(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.max())); // [2,2,3,3]
print(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.mean())); // [2,0,1,1]
print(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.min())); // [2,-2,-2,-2]
print(ee.Array([2, -2, 3]).accum(0, ee.Reducer.product())); // [2,-4,-12]
Configurazione di Python
Consulta la pagina
Ambiente Python per informazioni sull'API Python e sull'utilizzo di
geemap
per lo sviluppo interattivo.
import ee
import geemap.core as geemap
Colab (Python)
display(ee.Array([-1]).accum(0)) # [-1]
display(ee.Array([-2, 1]).accum(0)) # [-2, -1]
display(ee.Array([-2, 1, 9]).accum(0)) # [-2, -1, 8]
# accum over 2D arrays with different axes.
display(ee.Array([[1, 3], [5, 7]]).accum(0)) # [[1, 3],[6, 10]]
display(ee.Array([[1, 3], [5, 7]]).accum(1)) # [[1, 4],[5, 12]]
# sum is the default reducer.
display(ee.Array([2, -2, 3, 1]).accum(0)) # [2, 0, 3, 4]
# [2, 0, 3, 4]
display(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.sum()))
# Some example reducers.
# [2, 2, 3, 3]
display(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.max()))
# [2, 0, 1, 1]
display(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.mean()))
# [2, -2, -2, -2]
display(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.min()))
# [2, -4, -12]
display(ee.Array([2, -2, 3]).accum(0, ee.Reducer.product()))
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 2025-07-26 UTC."],[[["\u003cp\u003e\u003ccode\u003eArray.accum\u003c/code\u003e calculates the cumulative reduction of elements in an array along a specified axis.\u003c/p\u003e\n"],["\u003cp\u003eIt uses a reducer function, defaulting to sum, to determine how elements are accumulated.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eaxis\u003c/code\u003e argument defines the direction of accumulation (0 for rows, 1 for columns in 2D arrays).\u003c/p\u003e\n"],["\u003cp\u003eVarious reducers like \u003ccode\u003emin\u003c/code\u003e, \u003ccode\u003emax\u003c/code\u003e, \u003ccode\u003emean\u003c/code\u003e, and \u003ccode\u003eproduct\u003c/code\u003e can be used for different cumulative calculations.\u003c/p\u003e\n"],["\u003cp\u003eThe result is a new array with the same dimensions as the input, containing the accumulated values.\u003c/p\u003e\n"]]],[],null,["# ee.Array.accum\n\nAccumulates elements of an array along the given axis, by setting each element of the result to the reduction of elements along that axis up to and including the current position. May be used to make a cumulative sum, a monotonically increasing sequence, etc.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|----------------------------------|---------|\n| Array.accum`(axis, `*reducer*`)` | Array |\n\n| Argument | Type | Details |\n|---------------|------------------------|------------------------------------------------------------------------------------------------------------------|\n| this: `array` | Array | Array to accumulate. |\n| `axis` | Integer | Axis along which to perform the accumulation. |\n| `reducer` | Reducer, default: null | Reducer to accumulate values. Default is SUM, to produce the cumulative sum of each vector along the given axis. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\nprint(ee.Array([-1]).accum(0)); // [-1]\nprint(ee.Array([-2, 1]).accum(0)); // [-2, -1]\nprint(ee.Array([-2, 1, 9]).accum(0)); // [-2, -1, 8]\n\n// accum over 2D arrays with different axes.\nprint(ee.Array([[1, 3], [5, 7]]).accum(0)); // [[1,3],[6,10]]\nprint(ee.Array([[1, 3], [5, 7]]).accum(1)); // [[1,4],[5,12]]\n\n// sum is the default reducer.\nprint(ee.Array([2, -2, 3, 1]).accum(0)); // [2,0,3,4]\nprint(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.sum())); // [2,0,3,4]\n\n// Some example reducers.\nprint(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.max())); // [2,2,3,3]\nprint(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.mean())); // [2,0,1,1]\nprint(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.min())); // [2,-2,-2,-2]\nprint(ee.Array([2, -2, 3]).accum(0, ee.Reducer.product())); // [2,-4,-12]\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\ndisplay(ee.Array([-1]).accum(0)) # [-1]\ndisplay(ee.Array([-2, 1]).accum(0)) # [-2, -1]\ndisplay(ee.Array([-2, 1, 9]).accum(0)) # [-2, -1, 8]\n\n# accum over 2D arrays with different axes.\ndisplay(ee.Array([[1, 3], [5, 7]]).accum(0)) # [[1, 3],[6, 10]]\ndisplay(ee.Array([[1, 3], [5, 7]]).accum(1)) # [[1, 4],[5, 12]]\n\n# sum is the default reducer.\ndisplay(ee.Array([2, -2, 3, 1]).accum(0)) # [2, 0, 3, 4]\n\n# [2, 0, 3, 4]\ndisplay(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.sum()))\n\n\n# Some example reducers.\n# [2, 2, 3, 3]\ndisplay(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.max()))\n\n\n# [2, 0, 1, 1]\ndisplay(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.mean()))\n\n# [2, -2, -2, -2]\ndisplay(ee.Array([2, -2, 3, 1]).accum(0, ee.Reducer.min()))\n\n# [2, -4, -12]\ndisplay(ee.Array([2, -2, 3]).accum(0, ee.Reducer.product()))\n```"]]