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ee.Array.erf
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
按元素计算输入的误差函数。
示例
代码编辑器 (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);
Python 设置
如需了解 Python API 和如何使用 geemap 进行交互式开发，请参阅
Python 环境页面。
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]))
)
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最后更新时间 (UTC)：2025-07-26。
[null,null,["最后更新时间 (UTC)：2025-07-26。"],[[["\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```"]]
