Return the array data as a string containing the raw bytes in the array 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 array is filled with a fill value before the string conversion.

The fill_value 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() method in Numpy −

print("
Result...
",maskArr.tobytes())

Example

# Python ma.MaskedArray - Return the array data as a string containing the raw bytes in the array

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 print("
Result...
",maskArr.tobytes())

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\x00?B\x0f\x00\x00\x00\x00\x00C\x00\x00\x00\x00\x00\x00\x00?B\x0f\x00\x00\x00\x00\x00;\x00\x00\x00\x00\x00\x00\x00'

Updated on: 02-Feb-2022

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