ee.Image.arrayPad

將每個像素的陣列值填入固定長度。填充值會附加至每個陣列，沿著每個軸延伸至指定長度。圖片的所有頻帶都必須是陣列值，且具有相同的維度。

用量傳回
Image.arrayPad(lengths, pad)圖片
引數類型詳細資料
this：image圖片將陣列圖片放入填充區。
lengths清單輸出陣列中每個軸的所需長度清單。陣列的大小已達或超過指定長度，因此不會沿著該軸線變更。
pad數字，預設值：0要填充的值。

範例

程式碼編輯器 (JavaScript)

// A function to print the array for a selected pixel in the following examples.
function sampArrImg(arrImg) {
  var point = ee.Geometry.Point([-121, 42]);
  return arrImg.sample(point, 500).first().get('array');
}

// Create a 1D array image.
var arrayImg1D = ee.Image([0, 1, 2]).toArray();
print('1D array image (pixel)', sampArrImg(arrayImg1D));
// [0, 1, 2]

// Pad 1D array to length of 5 with value 9.
var arrayImg1Dpad = arrayImg1D.arrayPad([5], 9);
print('1D array image padded', sampArrImg(arrayImg1Dpad));
// [0, 1, 2, 9, 9]

// Create a 2D array image.
var arrayImg2D = ee.Image([0, 1, 2, 3, 4, 5]).toArray()
  .arrayReshape(ee.Image([2, 3]).toArray(), 2);
print('2D 2x3 array image (pixel)', sampArrImg(arrayImg2D));
// [[0, 1, 2],
//  [3, 4, 5]]

// Pad 2D array to 0-axis length 3 and 1-axis length 5 with value 9.
var arrayImg2Dpad = arrayImg2D.arrayPad([3, 5], 9);
print('2D array image padded', sampArrImg(arrayImg2Dpad));
// [[0, 1, 2, 9, 9],
//  [3, 4, 5, 9, 9],
//  [9, 9, 9, 9, 9]]

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)

# A function to print the array for a selected pixel in the following examples.
def samp_arr_img(arr_img):
  point = ee.Geometry.Point([-121, 42])
  return arr_img.sample(point, 500).first().get('array')

# Create a 1D array image.
array_img_1d = ee.Image([0, 1, 2]).toArray()
print('1D array image (pixel):', samp_arr_img(array_img_1d).getInfo())
# [0, 1, 2]

# Pad 1D array to length of 5 with value 9.
array_img_1d_pad = array_img_1d.arrayPad([5], 9)
print('1D array image padded:', samp_arr_img(array_img_1d_pad).getInfo())
# [0, 1, 2, 9, 9]

# Create a 2D array image.
array_img_2d = ee.Image([0, 1, 2, 3, 4, 5]).toArray().arrayReshape(
    ee.Image([2, 3]).toArray(),
    2
)
print('2D 2x3 array image (pixel):', samp_arr_img(array_img_2d).getInfo())
# [[0, 1, 2],
#  [3, 4, 5]]

# Pad 2D array to 0-axis length 3 and 1-axis length 5 with value 9.
array_img_2d_pad = array_img_2d.arrayPad([3, 5], 9)
print('2D array image padded:', samp_arr_img(array_img_2d_pad).getInfo())
# [[0, 1, 2, 9, 9],
#  [3, 4, 5, 9, 9],
#  [9, 9, 9, 9, 9]]