ee.Array.erf

AI-generated Key Takeaways

• The Array.erf() method computes the error function of each element in the input array.

• This method takes an Array as input and returns an Array as output.

• Examples are provided in both JavaScript and Python, demonstrating how to use the erf() method and visualize the results.

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]))
)