Return a view of the MaskedArray data in Numpy

To return a view of the MaskedArray data in Numpy, use the ma.MaskedArray.view() method.

The a.view() is used two different ways

• a.view(some_dtype) or a.view(dtype=some_dtype) constructs a view of the array’s memory with a different data-type. This can cause a reinterpretation of the bytes of memory.

• a.view(ndarray_subclass) or a.view(type=ndarray_subclass) just returns an instance of ndarray_subclass that looks at the same array. This does not cause a reinterpretation of the memory.

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], [67, 33]]) 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, 1], [ 0, 1]]) print("
Our Masked Array
", maskArr) print("
Our Masked Array type...
", maskArr.dtype)

Get the itemsize of the Masked Array −

print("
Our Masked Array itemsize...
", maskArr.itemsize)

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) 

Copying −

resArr = maskArr.copy()

Return a view of the MaskedArray data in Numpy, use the ma.MaskedArray.view() method −

print("
View...
",resArr.view())

Example

# Python ma.MaskedArray - Return a view of the MaskedArray 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], [67, 33]]) print("Array...
", arr) print("
Array type...
", arr.dtype) print("
Array itemsize...
", arr.itemsize) # 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, 1], [ 0, 1]]) print("
Our Masked Array
", maskArr) print("
Our Masked Array type...
", maskArr.dtype) # Get the itemsize of the Masked Array print("
Our Masked Array itemsize...
", maskArr.itemsize) # 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) # copying resArr = maskArr.copy() # To return a view of the MaskedArray data in Numpy, use the ma.MaskedArray.view() method in Numpy print("
View...
",resArr.view())

Ouptut

Array... [[35 85] [67 33]] Array type... int64 Array itemsize... 8 Array Dimensions... 2 Our Masked Array [[35 --] [67 --]] Our Masked Array type... int64 Our Masked Array itemsize... 8 Our Masked Array Dimensions... 2 Our Masked Array Shape... (2, 2) View... [[35 --] [67 --]]