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ee.Array.acos
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Calcola l'arcoseno in radianti dell'input in base agli elementi.
Utilizzo | Resi |
---|
Array.acos() | Array |
Argomento | Tipo | Dettagli |
---|
questo: input | Array | L'array di input. |
Esempi
Editor di codice (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);
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)
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]))
)
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\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```"]]