Return the masked array data as a string containing the raw bytes in the array and fill the invalid entries in Numpy

To return the array data as a string containing the raw bytes in the array, use the ma.MaskedArray.tobytes() method in Numpy.

The fill_value parameter is the value used to fill in the masked values. Default is None, in which case MaskedArray.fill_value is used.

The order parameter is the Order of the data item in the copy. Default is ‘C’.

• ‘C’ - C order (row major).

• ‘F’ - Fortran order (column major).

• ‘A’ - Any, current order of array.

• None - Same as ‘A’.

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([[49, 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) 

Return the array data as a string containing the raw bytes in the array, use the ma.MaskedArray.tobytes(). The "fill_value" parameter ios the value used to fill in the masked values. Default is None, in which case MaskedArray.fill_value is used −

print("
Result...
",maskArr.tobytes(fill_value = 1111))

Example

# Python ma.MaskedArray - Return the array data as a string containing the raw bytes in the array and # fill the invalid entries import numpy as np import numpy.ma as ma # Create an array with int elements using the numpy.array() method arr = np.array([[49, 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 return the array data as a string containing the raw bytes in the array, use the ma.MaskedArray.tobytes() method in Numpy # The "fill_value" parameter ios the value used to fill in the masked values. # Default is None, in which case MaskedArray.fill_value is used. print("
Result...
",maskArr.tobytes(fill_value = 1111))

Output

Array... [[49 85 45] [67 33 59]] Array type... int64 Array Dimensions... 2 Our Masked Array [[49 85 --] [67 -- 59]] Our Masked Array type... int64 Our Masked Array Dimensions... 2 Our Masked Array Shape... (2, 3) Elements in the Masked Array... 6 Result... b'1\x00\x00\x00\x00\x00\x00\x00U\x00\x00\x00\x00\x00\x00\x00W\x04\x00\x00\x00\x00\x00\x00C\x00\x00\x00\x00\x00\x00\x00W\x04\x00\x00\x00\x00\x00\x00;\x00\x00\x00\x00\x00\x00\x00'