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]]
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