# Convert Masked Array elements to Float Type in Numpy

To convert masked array to float type, use the ma.MaskedArray.__float__() 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 using the numpy.array() method −

arr = np.array()
print("Array...", arr)
print("Array type...", arr.dtype)

Get the dimensions of the Array −

print("Array Dimensions...",arr.ndim)

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

Get the dimensions of the Masked Array −

print("Our Masked Array Dimensions...",maskArr.ndim)

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

print("Result Converted to float type...",maskArr.__float__())

## Example

import numpy as np
import numpy.ma as ma

# Create an array using the numpy.array() method
arr = np.array()
print("Array...", arr)
print("Array type...", arr.dtype)

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

# Get the dimensions of the Masked Array

# To convert masked array to float type, use the ma.MaskedArray.__float__() method in Numpy
print("Result Converted to float type...",maskArr.__float__())

## Output

Array... 

Array type... int64

Array Dimensions... 1

30.0