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Initialize the mask to homogeneous boolean array by passing in a scalar boolean value in Numpy
The mask is initialized to homogeneous boolean array with the same shape as data by passing in a scalar boolean value. True indicates a masked (i.e. invalid) data. The "mask" parameter is used to set the mask. Create a masked array using the ma.MaskedArray() method.
A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each element of the associated array whether the value is valid or not.
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([[65, 68, 81], [93, 33, 39], [73, 88, 51], [62, 45, 67]]) print("Array...\n", arr) print("\nArray type...\n", arr.dtype)
Get the dimensions of the Array −
print("\nArray Dimensions...\n",arr.ndim)
Create a masked array. The "mask" parameter is used to set the mask. The mask is initialized to homogeneous boolean array with the same shape as data by passing in a scalar boolean value. True indicates a masked (i.e. invalid) data:
maskArr = ma.MaskedArray(arr, mask =True) print("\nOur Masked Array\n", maskArr) print("\nOur Masked Array type...\n", maskArr.dtype)
Get the dimensions of the Masked Array −
print("\nOur Masked Array Dimensions...\n",maskArr.ndim)
Get the shape of the Masked Array −
print("\nOur Masked Array Shape...\n",maskArr.shape)
Get the number of elements of the Masked Array −
print("\nElements in the Masked Array...\n",maskArr.size)
Example
# Python ma.MaskedArray - Initialize the mask to homogeneous boolean array by passing in a scalar boolean value import numpy as np import numpy.ma as ma # Create an array with int elements using the numpy.array() method arr = np.array([[65, 68, 81], [93, 33, 39], [73, 88, 51], [62, 45, 67]]) print("Array...\n", arr) print("\nArray type...\n", arr.dtype) # Get the dimensions of the Array print("\nArray Dimensions...\n",arr.ndim) # Create a masked array # The mask is set using the "mask" parameter # The mask initialized to homogeneous boolean array with the same shape as data by passing in a scalar boolean value: # True indicates a masked (i.e. invalid) data. maskArr = ma.MaskedArray(arr, mask =True) print("\nOur Masked Array\n", maskArr) print("\nOur Masked Array type...\n", maskArr.dtype) # Get the dimensions of the Masked Array print("\nOur Masked Array Dimensions...\n",maskArr.ndim) # Get the shape of the Masked Array print("\nOur Masked Array Shape...\n",maskArr.shape) # Get the number of elements of the Masked Array print("\nElements in the Masked Array...\n",maskArr.size)
Output
Array... [[65 68 81] [93 33 39] [73 88 51] [62 45 67]] Array type... int64 Array Dimensions... 2 Our Masked Array [[-- -- --] [-- -- --] [-- -- --] [-- -- --]] Our Masked Array type... int64 Our Masked Array Dimensions... 2 Our Masked Array Shape... (4, 3) Elements in the Masked Array... 12
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