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ee.Array.erfInv
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On an element-wise basis, computes the inverse error function of the input.
| Usage | Returns | Array.erfInv() | Array |
| Argument | Type | Details | this: input | Array | The input array. |
Examples
Code Editor (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 setup
See the
Python Environment page for information on the Python API and using
geemap for interactive development.
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]))
)
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["\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```"]]