在 NumPy 中将标量值除以掩码数组的每个元素并返回向下取整的值


要将标量值除以掩码数组的每个元素并在除法后返回向下取整的值,请在 Python NumPy 中使用 bma.MaskedArray.__floordiv__() 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有效),要么是布尔数组,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,并且与分布式、GPU 和稀疏数组库兼容良好。

步骤

首先,导入所需的库:

import numpy as np
import numpy.ma as ma

使用 numpy.array() 方法创建一个包含整数元素的数组:

arr = np.array([[85, 68, 81, 84], [67, 33, 39, 53], [29, 88, 51, 37], [56, 45, 67, 85]])
print("Array...
", arr) print("
Array type...
", arr.dtype)

获取数组的维度:

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

创建一个掩码数组,并将其中一些标记为无效:

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个数:

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

标量值:

val = 3
print("
The given value to be divided...
",val)

要将标量值除以掩码数组的每个元素并在除法后返回向下取整的值,请使用 ma.MaskedArray.__floordiv__() 方法:

print("
Resultant Masked Array...
",maskArr.__floordiv__(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([[85, 68, 81, 84], [67, 33, 39, 53], [29, 88, 51, 37], [56, 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 value val = 3 print("
The given value to be divided...
",val) # To divide a scalar value into every element of a masked Array and return the floor value after division, # use the ma.MaskedArray.__floordiv__() method print("
Resultant Masked Array...
",maskArr.__floordiv__(val))

输出

Array...
[[85 68 81 84]
[67 33 39 53]
[29 88 51 37]
[56 45 67 85]]

Array type...
int64

Array Dimensions...
2

Our Masked Array
[[-- -- 81 84]
[67 33 -- 53]
[29 88 51 --]
[56 -- 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 to be divided...
3

Resultant Masked Array...
[[-- -- 27 28]
[22 11 -- 17]
[9 29 17 --]
[18 -- 22 28]]

更新于:2022年2月5日

浏览量:107

启动您的职业生涯

完成课程获得认证

开始学习
广告