# Convert masked array element to int Type in NumPy

NumpyServer Side ProgrammingProgramming

To convert masked array to int type, use the ma.MaskedArray.__int__() method in Numpy. 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 using the numpy.array() method −

arr = np.array([14.76])
print("Array...", arr)
print("\nArray type...", arr.dtype)

Get the dimensions of the Array −

print("\nArray Dimensions...",arr.ndim)


maskArr = ma.masked_array(arr, mask =[False])
print("\nOur Masked Array type...\n", maskArr.dtype)

Get the dimensions of the Masked Array −

print("\nOur Masked Array Dimensions...\n",maskArr.ndim)


Convert masked array to int type, use the ma.MaskedArray.__int__() method in Numpy −

print("\nResult Converted to int type...\n",maskArr.__int__())

## Example

import numpy as np
import numpy.ma as ma

# Create an array with using the numpy.array() method
arr = np.array([14.76])
print("Array...", arr)
print("\nArray type...", arr.dtype)

# Get the dimensions of the Array
print("\nArray Dimensions...",arr.ndim)

# Get the dimensions of the Masked Array

# To convert masked array to int type, use the ma.MaskedArray.__int__() method in Numpy
print("\nResult Converted to int type...\n",maskArr.__int__())

## Output

Array... [14.76]

Array type... float64

Array Dimensions... 1

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