在 NumPy 中沿指定轴重复掩码数组的元素


要重复掩码数组的元素,请在 Numpy 中使用 **ma.MaskedArray.repeat()** 方法。“**repeats**”参数设置每个元素的重复次数。repeats 将广播以适应形状。“**axis**”参数是沿其重复值的轴。

该方法返回输出数组,该数组与 a 的形状相同,但沿给定轴除外。axis 是沿其重复值的轴。默认情况下,使用扁平化的输入数组,并返回扁平化的输出数组。

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 int 元素的数组:

arr = np.array([[49, 85, 45], [67, 33, 59]])
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,并将其中一些掩码为无效:

maskArr = ma.masked_array(arr, mask =[[0, 0, 1], [ 0, 1, 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)

要重复掩码数组的元素,请在 Numpy 中使用 ma.MaskedArray.repeat() 方法。“repeats”参数设置每个元素的重复次数。repeats 将广播以适应形状。“axis”参数是沿其重复值的轴。默认情况下,使用扁平化的输入数组,并返回扁平化的输出数组:

print("
Result...
",maskArr.repeat(3, axis = 0))

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([[55, 85, 59, 77], [67, 33, 39, 57], [29, 88, 51, 37],
[56, 45, 99, 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) # To repeat elements of a masked array, use the ma.MaskedArray.repeat() method in Numpy # The "repeats" parameter sets the number of repetitions for each element. # The repeats is broadcasted to fit the shape. # The "axis" parameter is the axis along which to repeat values. # By default, use the flattened input array, and return a flat output array. print("
Result...
",maskArr.repeat(3, axis = 0))

输出

Array...
[[55 85 59 77]
[67 33 39 57]
[29 88 51 37]
[56 45 99 85]]

Array type...
int64

Array Dimensions...
2

Our Masked Array
[[-- -- 59 77]
[67 33 -- 57]
[29 88 51 --]
[56 -- 99 85]]

Our Masked Array type...
int64

Our Masked Array Dimensions...
2

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

Elements in the Masked Array...
16

Result...
[[-- -- 59 77]
[-- -- 59 77]
[-- -- 59 77]
[67 33 -- 57]
[67 33 -- 57]
[67 33 -- 57]
[29 88 51 --]
[29 88 51 --]
[29 88 51 --]
[56 -- 99 85]
[56 -- 99 85]
[56 -- 99 85]]

更新于: 2022年2月4日

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