ee.Array.erfc

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

UsageReturns
Array.erfc()Array
ArgumentTypeDetails
this: inputArrayThe input array.

Examples

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);

See the Python Environment page for information on the Python API and using geemap for interactive development.

import ee
import geemap.core as geemap
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]))
)