ee.Array.erf
Restez organisé à l'aide des collections
Enregistrez et classez les contenus selon vos préférences.
Calcule la fonction d'erreur de l'entrée, élément par élément.
Utilisation | Renvoie |
---|
Array.erf() | Tableau |
Argument | Type | Détails |
---|
ceci : input | Tableau | Tableau d'entrée. |
Exemples
Éditeur de code (JavaScript)
print(ee.Array([-6]).erf()); // [-1]
print(ee.Array([0]).erf()); // [0]
print(ee.Array([6]).erf()); // [1]
var start = -3;
var end = 3;
var points = ee.Array(ee.List.sequence(start, end, null, 50));
var values = points.erf();
// Plot erf() 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},
{v: 0},
{v: end}]
},
vAxis: {
title: 'erf(x)',
ticks: [
{v: -1},
{v: 0},
{v: 1}]
},
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 altair as alt
import pandas as pd
display(ee.Array([-6]).erf()) # [-1]
display(ee.Array([0]).erf()) # [0]
display(ee.Array([6]).erf()) # [1]
start = -3
end = 3
points = ee.Array(ee.List.sequence(start, end, None, 50))
values = points.erf()
df = pd.DataFrame({'x': points.getInfo(), 'erf(x)': values.getInfo()})
# Plot erf() defined above.
alt.Chart(df).mark_line().encode(
x=alt.X('x', axis=alt.Axis(values=[start, 0, end])),
y=alt.Y('erf(x)', axis=alt.Axis(values=[-1, 0, 1]))
)
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\u003e\u003ccode\u003eArray.erf()\u003c/code\u003e calculates the error function for each element in an input array.\u003c/p\u003e\n"],["\u003cp\u003eThe error function values range from -1 to 1, representing the probability of a random variable falling within a certain range.\u003c/p\u003e\n"],["\u003cp\u003eThe function is demonstrated with examples in JavaScript, Python, and Colab, including visualizations of the error function curve.\u003c/p\u003e\n"]]],["The `erf()` method computes the error function of each element within an input array. It's accessible via `Array.erf()`, returning a new array. The input array is provided as the `this` parameter. Example usage demonstrates that `erf(-6)` results in `-1`, `erf(0)` results in `0`, and `erf(6)` results in `1`. Additionally, a sequence of points between -3 and 3 are generated and plotted in both JavaScript and Python to visualize the `erf()` function's curve.\n"],null,["# ee.Array.erf\n\nOn an element-wise basis, computes the error function of the input.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------|---------|\n| Array.erf`()` | 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([-6]).erf()); // [-1]\nprint(ee.Array([0]).erf()); // [0]\nprint(ee.Array([6]).erf()); // [1]\n\nvar start = -3;\nvar end = 3;\nvar points = ee.Array(ee.List.sequence(start, end, null, 50));\nvar values = points.erf();\n\n// Plot erf() 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},\n {v: 0},\n {v: end}]\n },\n vAxis: {\n title: 'erf(x)',\n ticks: [\n {v: -1},\n {v: 0},\n {v: 1}]\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 altair as alt\nimport pandas as pd\n\ndisplay(ee.Array([-6]).erf()) # [-1]\ndisplay(ee.Array([0]).erf()) # [0]\ndisplay(ee.Array([6]).erf()) # [1]\n\nstart = -3\nend = 3\npoints = ee.Array(ee.List.sequence(start, end, None, 50))\nvalues = points.erf()\n\ndf = pd.DataFrame({'x': points.getInfo(), 'erf(x)': values.getInfo()})\n\n# Plot erf() defined above.\nalt.Chart(df).mark_line().encode(\n x=alt.X('x', axis=alt.Axis(values=[start, 0, end])),\n y=alt.Y('erf(x)', axis=alt.Axis(values=[-1, 0, 1]))\n)\n```"]]