ee.Array.erfc

AI-generated Key Takeaways

• The Array.erfc() method computes the complementary error function for each element in an input array and returns an array.

On an element-wise basis, computes the complementary error function of the input.

Usage	Returns
Array.erfc()	Array

Argument	Type	Details
this: input	Array	The input array.

Examples

Code Editor (JavaScript)

print(ee.Array([-6]).erfc());  // [2]
print(ee.Array([0]).erfc());  // [1]
print(ee.Array([28]).erfc());  // [0]

var start = -3;
var end = 3;
var points = ee.Array(ee.List.sequence(start, end, null, 50));
var values = points.erfc();

// Plot erfc() 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: 'erfc(x)',
        ticks: [
          {v: 0},
          {v: 1},
          {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([-6]).erfc())  # [2]
display(ee.Array([0]).erfc())  # [1]
display(ee.Array([28]).erfc())  # [0]

start = -3
end = 3
points = ee.Array(ee.List.sequence(start, end, None, 50))
values = points.erfc()

df = pd.DataFrame({'x': points.getInfo(), 'erfc(x)': values.getInfo()})

# Plot erfc() defined above.
alt.Chart(df).mark_line().encode(
    x=alt.X('x', axis=alt.Axis(values=[start, 0, end])),
    y=alt.Y('erfc(x)', axis=alt.Axis(values=[0, 1, 2]))
)