ee.Array.acos

以元素為單位,計算輸入值的反餘弦值 (以弧度為單位)。

用量傳回
Array.acos()陣列
引數類型詳細資料
這個:input陣列輸入陣列。

範例

程式碼編輯器 (JavaScript)

print(ee.Array([-1]).acos());  // [π]
print(ee.Array([0]).acos());  // [π/2]
print(ee.Array([1]).acos());  // [0]

var start = -1;
var end = 1;
var points = ee.Array(ee.List.sequence(start, end, null, 50));
var values = points.acos();

// Plot acos() 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: 'acos(x)',
        ticks: [
          {v: 0, f: 0},
          {v: Math.PI / 2, f: 'π/2'},
          {v: Math.PI, f: 'π'}]
      },
      lineWidth: 1,
      pointSize: 0,
    });
print(chart);

Python 設定

請參閱 Python 環境頁面,瞭解 Python API 和如何使用 geemap 進行互動式開發。

import ee
import geemap.core as geemap

Colab (Python)

import math
import altair as alt
import pandas as pd

display(ee.Array([-1]).acos())  # [π]
display(ee.Array([0]).acos())  # [π/2]
display(ee.Array([1]).acos())  # [0]

start = -1
end = 1
points = ee.Array(ee.List.sequence(start, end, None, 50))
values = points.acos()

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

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