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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([30])
print("Array...", arr)
print("
Array type...", arr.dtype)Get the dimensions of the Array −
print("
Array Dimensions...",arr.ndim)Create a masked array −
maskArr = ma.masked_array(arr, mask =[False])
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)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([30])
print("Array...", arr)
print("
Array type...", arr.dtype)
# Get the dimensions of the Array
print("
Array Dimensions...",arr.ndim)
# Create a masked array
maskArr = ma.masked_array(arr, mask =[False])
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)
# 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... [30] Array type... int64 Array Dimensions... 1 Our Masked Array [30] Our Masked Array type... int64 Our Masked Array Dimensions... 1 Result Converted to float type... 30.0
Updated on: 22-Feb-2022
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