使用 NumPy 中的 __ilshift__() 方法將掩碼陣列的每個元素左移給定的標量值
要將掩碼陣列的每個元素左移給定的標量值,請在 Python NumPy 中使用 **ma.MaskedArray.__ilshift__()** 方法。掩碼陣列是標準 numpy.ndarray 和掩碼的組合。掩碼要麼是 nomask,表示關聯陣列的任何值都不無效,要麼是布林值的陣列,用於確定關聯陣列的每個元素的值是否有效。
NumPy 提供了全面的數學函式、隨機數生成器、線性代數例程、傅立葉變換等等。它支援各種硬體和計算平臺,並且與分散式、GPU 和稀疏陣列庫配合良好。
步驟
首先,匯入所需的庫 -
import numpy as np import numpy.ma as ma
使用 numpy.array() 方法建立包含整數元素的陣列 -
arr = np.array([[65, 68, 81], [93, 33, 39], [73, 88, 51], [62, 45, 67]]) print("Array...
", arr) print("
Array type...
", arr.dtype)
獲取陣列的維度 -
print("
Array Dimensions...
",arr.ndim)
建立一個掩碼陣列並將其中一些標記為無效 -
maskArr = ma.masked_array(arr, mask =[[1, 1, 0], [ 1, 0, 0], [0, 1, 0], [0, 1, 0]]) print("
Our Masked Array
", maskArr) print("
Our Masked Array type...
", maskArr.dtype)
獲取掩碼陣列的維度 -
print("
Our Masked Array Dimensions...
",maskArr.ndim)
獲取掩碼陣列的形狀 -
print("
Our Masked Array Shape...
",maskArr.shape)
獲取掩碼陣列的元素數量 -
print("
Elements in the Masked Array...
",maskArr.size)
標量 -
val = 3 print("
The given value...
",val)
要將掩碼陣列的每個元素左移給定的標量值,請使用 ma.MaskedArray.__ilshift__() 方法 -
print("
Resultant Masked Array...
",maskArr.__ilshift__(val))
示例
import numpy as np import numpy.ma as ma # Create an array with int elements using the numpy.array() method arr = np.array([[65, 68, 81], [93, 33, 39], [73, 88, 51], [62, 45, 67]]) print("Array...
", arr) print("
Array type...
", arr.dtype) # Get the dimensions of the Array print("
Array Dimensions...
",arr.ndim) # Create a masked array and mask some of them as invalid maskArr = ma.masked_array(arr, mask =[[1, 1, 0], [ 1, 0, 0], [0, 1, 0], [0, 1, 0]]) print("
Our Masked Array
", maskArr) print("
Our Masked Array type...
", maskArr.dtype) # Get the dimensions of the Masked Array print("
Our Masked Array Dimensions...
",maskArr.ndim) # Get the shape of the Masked Array print("
Our Masked Array Shape...
",maskArr.shape) # Get the number of elements of the Masked Array print("
Elements in the Masked Array...
",maskArr.size) #The scalar val = 3 print("
The given value...
",val) # To Left Shift every element of a masked array by a given scalar value, use the ma.MaskedArray.__ilshift__() method print("
Resultant Masked Array...
",maskArr.__ilshift__(val))
輸出
Array... [[65 68 81] [93 33 39] [73 88 51] [62 45 67]] Array type... int64 Array Dimensions... 2 Our Masked Array [[-- -- 81] [-- 33 39] [73 -- 51] [62 -- 67]] Our Masked Array type... int64 Our Masked Array Dimensions... 2 Our Masked Array Shape... (4, 3) Elements in the Masked Array... 12 The given value... 3 Resultant Masked Array... [[-- -- 648] [-- 264 312] [584 -- 408] [496 -- 536]]
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