在 NumPy 中获取标量值与掩码数组中每个元素的模


要获取标量值与掩码数组中每个元素的模,请在 Python NumPy 中使用 **ma.MaskedArray.__rmod__()** 方法。掩码数组是标准 numpy.ndarray 和掩码的组合。掩码要么是 nomask,表示关联数组的任何值均无效,要么是布尔值数组,用于确定关联数组的每个元素的值是否有效。

NumPy 提供了全面的数学函数、随机数生成器、线性代数例程、傅里叶变换等等。它支持各种硬件和计算平台,并且可以很好地与分布式、GPU 和稀疏数组库配合使用。

步骤

首先,导入所需的库 -

import numpy as np
import numpy.ma as ma

使用 numpy.array() 方法创建具有整数元素的数组 -

arr = np.array([[85, 68, 81, 84], [67, 33, 35, 53], [29, 105, 51, 37], [70, 45, 67, 85]])
print("Array...
", arr) print("
Array type...
", arr.dtype)

获取数组的维度 -

print("Array Dimensions...
",arr.ndim)

创建掩码数组并将其中的某些元素标记为无效 -

maskArr = ma.masked_array(arr, mask =[[1, 1, 0, 0], [ 0, 0, 1, 0], [0, 0, 0, 1], [0, 1, 0, 0]])
print("
Our Masked Array
", maskArr) print("
Our Masked Array type...
", maskArr.dtype)

获取掩码数组的维度 -

print("
Our Masked Array Dimensions...
",maskArr.ndim)

获取掩码数组的形状 -

print("
Our Masked Array Shape...
",maskArr.shape)

获取掩码数组的元素数量 -

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

标量 -

val = 35
print("
The given value...
",val)

要获取标量值与掩码数组中每个元素的模,请使用 ma.MaskedArray.__rmod__() 方法 -

print("
Resultant Masked Array...
",maskArr.__rmod__(val))

示例

Open Compiler
import numpy as np import numpy.ma as ma # Create an array with int elements using the numpy.array() method arr = np.array([[85, 68, 81, 84], [67, 33, 35, 53], [29, 105, 51, 37], [70, 45, 67, 85]]) 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, 0], [ 0, 0, 1, 0], [0, 0, 0, 1], [0, 1, 0, 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 = 35 print("The given value...",val) # To get the mod of a scalar value with every element of a masked Array, use the ma.MaskedArray.__rmod__() method print("Resultant Masked Array...",maskArr.__rmod__(val))

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输出

Array...
[[ 85 68 81 84]
[ 67 33 35 53]
[ 29 105 51 37]
[ 70 45 67 85]]

Array type...
int64

Array Dimensions...
2

Our Masked Array
[[-- -- 81 84]
[67 33 -- 53]
[29 105 51 --]
[70 -- 67 85]]

Our Masked Array type...
int64

Our Masked Array Dimensions...
2

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

Elements in the Masked Array...
16

The given value...
35

Resultant Masked Array...
[[-- -- 35 35]
[35 2 -- 35]
[6 35 35 --]
[35 -- 35 35]]

更新于: 2022年2月5日

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