ee.Array.acos
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Enregistrez et classez les contenus selon vos préférences.
Calcule l'arccosinus en radians de l'entrée, élément par élément.
Utilisation | Renvoie |
---|
Array.acos() | Tableau |
Argument | Type | Détails |
---|
ceci : input | Tableau | Tableau d'entrée. |
Exemples
Éditeur de code (JavaScript)
print(ee.Array([-1]).acos()); // [π]
print(ee.Array([0]).acos()); // [π/2]
print(ee.Array([1]).acos()); // [0]
var start = -1;
var end = 1;
var points = ee.Array(ee.List.sequence(start, end, null, 50));
var values = points.acos();
// Plot acos() defined above.
var chart = ui.Chart.array.values(values, 0, points)
.setOptions({
viewWindow: {min: start, max: end},
hAxis: {
title: 'x',
viewWindowMode: 'maximized',
ticks: [
{v: start, f: start},
{v: 0, f: 0},
{v: end, f: end}]
},
vAxis: {
title: 'acos(x)',
ticks: [
{v: 0, f: 0},
{v: Math.PI / 2, f: 'π/2'},
{v: Math.PI, f: 'π'}]
},
lineWidth: 1,
pointSize: 0,
});
print(chart);
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 math
import altair as alt
import pandas as pd
display(ee.Array([-1]).acos()) # [π]
display(ee.Array([0]).acos()) # [π/2]
display(ee.Array([1]).acos()) # [0]
start = -1
end = 1
points = ee.Array(ee.List.sequence(start, end, None, 50))
values = points.acos()
df = pd.DataFrame({'x': points.getInfo(), 'acos(x)': values.getInfo()})
# Plot acos() defined above.
alt.Chart(df).mark_line().encode(
x=alt.X('x', axis=alt.Axis(values=[start, 0, end])),
y=alt.Y('acos(x)', axis=alt.Axis(values=[0, math.pi / 2, math.pi]))
)
Sauf indication contraire, le contenu de cette page est régi par une licence Creative Commons Attribution 4.0, et les échantillons de code sont régis par une licence Apache 2.0. Pour en savoir plus, consultez les Règles du site Google Developers. Java est une marque déposée d'Oracle et/ou de ses sociétés affiliées.
Dernière mise à jour le 2025/07/26 (UTC).
[null,null,["Dernière mise à jour le 2025/07/26 (UTC)."],[[["\u003cp\u003eCalculates the arccosine (inverse cosine) of each element in an input array.\u003c/p\u003e\n"],["\u003cp\u003eReturns a new array containing the arccosine values in radians.\u003c/p\u003e\n"],["\u003cp\u003eAccepts an array as input and operates on each element independently.\u003c/p\u003e\n"],["\u003cp\u003eProvides examples in JavaScript, Python, and Colab to demonstrate usage and visualization.\u003c/p\u003e\n"]]],["The `Array.acos()` function computes the arccosine (in radians) of each element within an input array. It accepts an array as input and returns a new array containing the arccosine values. Examples demonstrate its use with -1, 0, and 1, resulting in outputs of π, π/2, and 0 respectively. The examples also showcase plotting the function, with `x` values between -1 and 1 and corresponding `acos(x)` outputs.\n"],null,["# ee.Array.acos\n\nOn an element-wise basis, computes the arccosine in radians of the input.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|----------------|---------|\n| Array.acos`()` | Array |\n\n| Argument | Type | Details |\n|---------------|-------|------------------|\n| this: `input` | Array | The input array. |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\nprint(ee.Array([-1]).acos()); // [π]\nprint(ee.Array([0]).acos()); // [π/2]\nprint(ee.Array([1]).acos()); // [0]\n\nvar start = -1;\nvar end = 1;\nvar points = ee.Array(ee.List.sequence(start, end, null, 50));\nvar values = points.acos();\n\n// Plot acos() defined above.\nvar chart = ui.Chart.array.values(values, 0, points)\n .setOptions({\n viewWindow: {min: start, max: end},\n hAxis: {\n title: 'x',\n viewWindowMode: 'maximized',\n ticks: [\n {v: start, f: start},\n {v: 0, f: 0},\n {v: end, f: end}]\n },\n vAxis: {\n title: 'acos(x)',\n ticks: [\n {v: 0, f: 0},\n {v: Math.PI / 2, f: 'π/2'},\n {v: Math.PI, f: 'π'}]\n },\n lineWidth: 1,\n pointSize: 0,\n });\nprint(chart);\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 math\nimport altair as alt\nimport pandas as pd\n\ndisplay(ee.Array([-1]).acos()) # [π]\ndisplay(ee.Array([0]).acos()) # [π/2]\ndisplay(ee.Array([1]).acos()) # [0]\n\nstart = -1\nend = 1\npoints = ee.Array(ee.List.sequence(start, end, None, 50))\nvalues = points.acos()\n\ndf = pd.DataFrame({'x': points.getInfo(), 'acos(x)': values.getInfo()})\n\n# Plot acos() defined above.\nalt.Chart(df).mark_line().encode(\n x=alt.X('x', axis=alt.Axis(values=[start, 0, end])),\n y=alt.Y('acos(x)', axis=alt.Axis(values=[0, math.pi / 2, math.pi]))\n)\n```"]]