ee.List.iterate
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Enregistrez et classez les contenus selon vos préférences.
Itérer un algorithme sur une liste. L'algorithme est censé prendre deux objets : l'élément de liste actuel et le résultat de l'itération précédente ou la valeur de "first" pour la première itération.
Utilisation | Renvoie |
---|
List.iterate(function, first) | Objet |
Argument | Type | Détails |
---|
ceci : list | Liste | |
function | Algorithme | |
first | Objet | |
Exemples
Éditeur de code (JavaScript)
// This example uses the ee.List.iterate function to generate a series of
// sequentially halved values.
// Declare a list that will hold the series of sequentially halved values,
// initialize it with the starting quantity.
var quantityList = [1000];
// Define the number of iterations as a list sequence.
var nSteps = ee.List.sequence(1, 10);
// Declare a function that takes the current element of the iteration list and
// the returned result of the previous iteration as inputs. In this case, the
// the function is returning an accumulating list of quantities that are reduced
// by half at each iteration.
var halfOfPrevious = function(currentElement, previousResult) {
var previousQuantity = ee.Number(ee.List(previousResult).get(-1));
var currentQuantity = previousQuantity.divide(2);
return ee.List(previousResult).add(currentQuantity);
};
// Apply the function to the nSteps list, each element is an iteration.
quantityList = ee.List(nSteps.iterate(halfOfPrevious, quantityList));
// Display the results. Note that step 0 is included for the initial value.
print('Steps in the iteration of halved quantities', nSteps);
print('Series of sequentially halved quantities', quantityList);
print(ui.Chart.array.values({
array: quantityList,
axis: 0,
xLabels: ee.List([0]).cat(nSteps)
}));
Configuration de Python
Consultez la page
Environnement Python pour en savoir plus sur l'API Python et sur l'utilisation de geemap
pour le développement interactif.
import ee
import geemap.core as geemap
Colab (Python)
import matplotlib.pyplot as plt
# This example uses the ee.List.iterate function to generate a series of
# sequentially halved values.
# Declare a list that will hold the series of sequentially halved values,
# initialize it with the starting quantity.
quantity_list = [1000]
# Define the number of iterations as a list sequence.
n_steps = ee.List.sequence(1, 10)
# Declare a function that takes the current element of the iteration list and
# the returned result of the previous iteration as inputs. In this case, the
# the function is returning an accumulating list of quantities that are reduced
# by half at each iteration.
def half_of_previous(current_element, previous_result):
previous_quantity = ee.Number(ee.List(previous_result).get(-1))
current_quantity = previous_quantity.divide(2)
return ee.List(previous_result).add(current_quantity)
# Apply the function to the n_steps list, each element is an iteration.
quantity_list = ee.List(n_steps.iterate(half_of_previous, quantity_list))
# Display the results.
display('Steps in the iteration of halved quantities', n_steps)
display('Series of sequentially halved quantities', quantity_list)
quantity_list_client = quantity_list.getInfo()
plt.scatter(range(len(quantity_list_client)), quantity_list_client)
plt.show()
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Dernière mise à jour le 2025/07/26 (UTC).
[null,null,["Dernière mise à jour le 2025/07/26 (UTC)."],[[["\u003cp\u003e\u003ccode\u003eList.iterate\u003c/code\u003e repeatedly applies a given algorithm to each element of a list, using the previous iteration's result.\u003c/p\u003e\n"],["\u003cp\u003eThe provided algorithm takes two arguments: the current list element and the previous result (or an initial value for the first iteration).\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eList.iterate\u003c/code\u003e returns the final result after processing all elements.\u003c/p\u003e\n"],["\u003cp\u003eThis function is useful for accumulating values, applying recursive operations, or building complex sequences based on list elements.\u003c/p\u003e\n"]]],[],null,["# ee.List.iterate\n\nIterate an algorithm over a list. The algorithm is expected to take two objects, the current list item, and the result from the previous iteration or the value of first for the first iteration.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------------------------|---------|\n| List.iterate`(function, first)` | Object |\n\n| Argument | Type | Details |\n|--------------|-----------|---------|\n| this: `list` | List | |\n| `function` | Algorithm | |\n| `first` | Object | |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// This example uses the ee.List.iterate function to generate a series of\n// sequentially halved values.\n\n// Declare a list that will hold the series of sequentially halved values,\n// initialize it with the starting quantity.\nvar quantityList = [1000];\n\n// Define the number of iterations as a list sequence.\nvar nSteps = ee.List.sequence(1, 10);\n\n// Declare a function that takes the current element of the iteration list and\n// the returned result of the previous iteration as inputs. In this case, the\n// the function is returning an accumulating list of quantities that are reduced\n// by half at each iteration.\nvar halfOfPrevious = function(currentElement, previousResult) {\n var previousQuantity = ee.Number(ee.List(previousResult).get(-1));\n var currentQuantity = previousQuantity.divide(2);\n return ee.List(previousResult).add(currentQuantity);\n};\n\n// Apply the function to the nSteps list, each element is an iteration.\nquantityList = ee.List(nSteps.iterate(halfOfPrevious, quantityList));\n\n// Display the results. Note that step 0 is included for the initial value.\nprint('Steps in the iteration of halved quantities', nSteps);\nprint('Series of sequentially halved quantities', quantityList);\nprint(ui.Chart.array.values({\n array: quantityList,\n axis: 0,\n xLabels: ee.List([0]).cat(nSteps)\n}));\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\nimport matplotlib.pyplot as plt\n\n# This example uses the ee.List.iterate function to generate a series of\n# sequentially halved values.\n\n# Declare a list that will hold the series of sequentially halved values,\n# initialize it with the starting quantity.\nquantity_list = [1000]\n\n# Define the number of iterations as a list sequence.\nn_steps = ee.List.sequence(1, 10)\n\n\n# Declare a function that takes the current element of the iteration list and\n# the returned result of the previous iteration as inputs. In this case, the\n# the function is returning an accumulating list of quantities that are reduced\n# by half at each iteration.\ndef half_of_previous(current_element, previous_result):\n previous_quantity = ee.Number(ee.List(previous_result).get(-1))\n current_quantity = previous_quantity.divide(2)\n return ee.List(previous_result).add(current_quantity)\n\n\n# Apply the function to the n_steps list, each element is an iteration.\nquantity_list = ee.List(n_steps.iterate(half_of_previous, quantity_list))\n\n# Display the results.\ndisplay('Steps in the iteration of halved quantities', n_steps)\ndisplay('Series of sequentially halved quantities', quantity_list)\nquantity_list_client = quantity_list.getInfo()\nplt.scatter(range(len(quantity_list_client)), quantity_list_client)\nplt.show()\n```"]]