Numpy MaskedArray.astype () Function | python

# Python program explaining
# numpy.MaskedArray.astype () method

 
# import numy as geek
# and numpy.ma module as ma

import numpy as geek

import numpy.ma as ma

 
# create input array

in_arr = geek.array ([ 1 , 2 ,  3 , - 1 , 5 ])

print ( "Input array:" , in_arr)

 
# Now we create a masked int32 array
# and invalidate the third entry.

mask_arr = ma.masked_array (in_arr, mask = [ 0 , 0 , 1 , 0 , 0 ])

print ( "Masked array:" , mask_arr)

  
# print disguised aaray data

print (mask_arr.dtype) 

 
# applying MaskedArray.astype methods to mask the array
# and convert it to float64

out_arr = mask_arr.astype ( ’float64’ )

print ( " Output typecasted array: " , out_arr)

  
# print data type Typecasted Masque Aaray

print (out_arr.dtype) 

# Python program explaining
# numpy.MaskedArray.astype () method

 
# import numy as geek
# and numpy.ma module as ma

import numpy as geek

import numpy.ma as ma