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ee.Array.erf
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On an element-wise basis, computes the error function of the input.
| Usage | Returns | Array.erf() | Array |
| Argument | Type | Details | this: input | Array | The input array. |
Examples
Code Editor (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 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([-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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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 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```"]]