透過在 Numpy 中傳遞標量布林值將掩碼初始化為齊次布林陣列


透過傳遞標量布林值初始化掩碼,使其具有與資料相同的形狀,併成為齊次布林陣列。True 指示掩碼資料(例如:無效資料)。“mask”引數用於設定掩碼。使用 ma.MaskedArray() 方法建立掩碼陣列。

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均有效,要麼是布林陣列,它決定關聯陣列的每個元素的值是否有效。

步驟

首先,匯入所需庫 −

import numpy as np
import numpy.ma as ma

使用 numpy.array() 方法建立包含 int 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。“mask”引數用於設定掩碼。透過傳遞標量布林值初始化掩碼,使其具有與資料相同的形狀,併成為齊次布林陣列。True 指示掩碼資料(例如:無效資料)

maskArr = ma.MaskedArray(arr, mask =True)
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 −

print("
Elements in the Masked Array...
",maskArr.size)

示例

# Python ma.MaskedArray - Initialize the mask to homogeneous boolean array by passing in a scalar boolean value

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 # The mask is set using the "mask" parameter # The mask initialized to homogeneous boolean array with the same shape as data by passing in a scalar boolean value: # True indicates a masked (i.e. invalid) data. maskArr = ma.MaskedArray(arr, mask =True) 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)

輸出

Array...
[[65 68 81]
[93 33 39]
[73 88 51]
[62 45 67]]

Array type...
int64

Array Dimensions...
2
Our Masked Array
[[-- -- --]
[-- -- --]
[-- -- --]
[-- -- --]]

Our Masked Array type...
int64

Our Masked Array Dimensions...
2

Our Masked Array Shape...
(4, 3)

Elements in the Masked Array...
12

更新於: 03-Feb-2022

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