AI-generated Key Takeaways
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Array.atan()
calculates the element-wise arctangent (in radians) of an input array. -
The function accepts an array as input and returns an array of the same size with the computed arctangent values.
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Results are within the range of -π/2 to π/2 radians.
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This function can be effectively visualized using charts for understanding the relationship between input values and their corresponding arctangent.
Usage | Returns |
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Array.atan() | Array |
Argument | Type | Details |
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this: input | Array | The input array. |
Examples
Code Editor (JavaScript)
print(ee.Array([-5]).atan()); // [-1.3734] print(ee.Array([0]).atan()); // [0] print(ee.Array([5]).atan()); // [1.3734] var start = -5; var end = 5; var points = ee.Array(ee.List.sequence(start, end, null, 50)); var values = points.atan(); // Plot atan() 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, f: start}, {v: 0, f: 0}, {v: end, f: end}] }, vAxis: { title: 'atan(x)', ticks: [ {v: -Math.PI / 2, f: '-π/2'}, {v: 0, f: 0}, {v: Math.PI / 2, f: 'π/2'}] }, lineWidth: 1, pointSize: 0, }); print(chart);
import ee import geemap.core as geemap
Colab (Python)
import math import altair as alt import pandas as pd display(ee.Array([-5]).atan()) # [-1.3734] display(ee.Array([0]).atan()) # [0] display(ee.Array([5]).atan()) # [1.3734] start = -5 end = 5 points = ee.Array(ee.List.sequence(start, end, None, 50)) values = points.atan() df = pd.DataFrame({'x': points.getInfo(), 'atan(x)': values.getInfo()}) # Plot atan() defined above. alt.Chart(df).mark_line().encode( x=alt.X('x', axis=alt.Axis(values=[start, 0, end])), y=alt.Y('atan(x)', axis=alt.Axis(values=[-math.pi / 2, 0, math.pi / 2])) )