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ee.Array.erfInv
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。
按元素计算输入的逆误差函数。
示例
代码编辑器 (JavaScript)
print(ee.Array([-0.99]).erfInv()); // [-1.82]
print(ee.Array([0]).erfInv()); // [0]
print(ee.Array([0.99]).erfInv()); // [1.82]
var start = -0.99;
var end = 0.99;
var points = ee.Array(ee.List.sequence(start, end, null, 50));
var values = points.erfInv();
// Plot erfInv() defined above.
var chart = ui.Chart.array.values(values, 0, points)
.setOptions({
viewWindow: {min: start, max: end},
hAxis: {
title: 'x',
viewWindowMode: 'maximized',
ticks: [
{v: -1},
{v: 0},
{v: 1}]
},
vAxis: {
title: 'erfInv(x)',
ticks: [
{v: -2},
{v: 0},
{v: 2}]
},
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([-0.99]).erfInv()) # [-1.82]
display(ee.Array([0]).erfInv()) # [0]
display(ee.Array([0.99]).erfInv()) # [1.82]
start = -0.99
end = 0.99
points = ee.Array(ee.List.sequence(start, end, None, 50))
values = points.erfInv()
df = pd.DataFrame({'x': points.getInfo(), 'erfInv(x)': values.getInfo()})
# Plot erfInv() defined above.
alt.Chart(df).mark_line().encode(
x=alt.X('x', axis=alt.Axis(values=[-1, 0, 1])),
y=alt.Y('erfInv(x)', axis=alt.Axis(values=[-2, 0, 2]))
)
如未另行说明，那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可，并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情，请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
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\u003eerfInv()\u003c/code\u003e calculates the inverse error function of an input array element-by-element.\u003c/p\u003e\n"],["\u003cp\u003eIt accepts an \u003ccode\u003eee.Array\u003c/code\u003e as input and returns a new \u003ccode\u003eee.Array\u003c/code\u003e with the calculated values.\u003c/p\u003e\n"],["\u003cp\u003eThe function is useful for statistical analysis and probability calculations involving the normal distribution.\u003c/p\u003e\n"],["\u003cp\u003eExamples demonstrate usage and visualization of the function in both JavaScript and Python environments within Google Earth Engine.\u003c/p\u003e\n"]]],[],null,["# ee.Array.erfInv\n\nOn an element-wise basis, computes the inverse error function of the input.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|------------------|---------|\n| Array.erfInv`()` | 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([-0.99]).erfInv()); // [-1.82]\nprint(ee.Array([0]).erfInv()); // [0]\nprint(ee.Array([0.99]).erfInv()); // [1.82]\n\nvar start = -0.99;\nvar end = 0.99;\nvar points = ee.Array(ee.List.sequence(start, end, null, 50));\nvar values = points.erfInv();\n\n// Plot erfInv() 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: -1},\n {v: 0},\n {v: 1}]\n },\n vAxis: {\n title: 'erfInv(x)',\n ticks: [\n {v: -2},\n {v: 0},\n {v: 2}]\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([-0.99]).erfInv()) # [-1.82]\ndisplay(ee.Array([0]).erfInv()) # [0]\ndisplay(ee.Array([0.99]).erfInv()) # [1.82]\n\nstart = -0.99\nend = 0.99\npoints = ee.Array(ee.List.sequence(start, end, None, 50))\nvalues = points.erfInv()\n\ndf = pd.DataFrame({'x': points.getInfo(), 'erfInv(x)': values.getInfo()})\n\n# Plot erfInv() defined above.\nalt.Chart(df).mark_line().encode(\n x=alt.X('x', axis=alt.Axis(values=[-1, 0, 1])),\n y=alt.Y('erfInv(x)', axis=alt.Axis(values=[-2, 0, 2]))\n)\n```"]]
