Swap the bytes of the masked array data in Numpy

To swap the bytes of the array elements, use the ma.MaskedArray.byteswap() method in Numpy. Toggle between low-endian and big-endian data representation by returning a byteswapped array, optionally swapped in-place. Arrays of byte-strings are not swapped. The real and imaginary parts of a complex number are swapped individually. It returns the byteswapped array. If inplace is True, this is a view to self.

The numpy.ma.MaskedArray is a subclass of ndarray designed to manipulate numerical arrays with missing data. An instance of MaskedArray can be thought as the combination of several elements −

Steps

At first, import the required library −

import numpy as np import numpy.ma as ma

Create an array with int elements using the numpy.array() method −

arr = np.array([[35, 85, 45], [67, 33, 59]]) 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 =[[0, 0, 1], [ 0, 1, 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)

Swap the bytes of the array elements, use the numpy.byteswap() method in Numpy −

print("
After Swap...
",maskArr.byteswap())

Example

# Python ma.MaskedArray - Swap the bytes of the masked array data import numpy as np import numpy.ma as ma # Create an array with int elements using the numpy.array() method arr = np.array([[35, 85, 45], [67, 33, 59]]) 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 =[[0, 0, 1], [ 0, 1, 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 swap the bytes of the array elements, use the byteswap() method in Numpy print("
After Swap...
",maskArr.byteswap())

Output

Array... [[35 85 45] [67 33 59]] Array type... int64 Array Dimensions... 2 Our Masked Array [[35 85 --] [67 -- 59]] Our Masked Array type... int32 Our Masked Array Dimensions... 2 Our Masked Array Shape... (2, 3) Elements in the Masked Array... 6 After Swap... [[2522015791327477760 6124895493223874560 --]   [4827858800541171712 -- 4251398048237748224]]