Numpy MaskedArray.resize() function | Python

numpy.MaskedArray.resize() function is used to a make a new masked array with the specified size and shape from the given array.The new array is filled with repeated copies of arr (in the order that the data are stored in memory). If arr is masked, the new array will be masked, and the new mask will be a repetition of the old one.

Syntax : numpy.ma.resize(arr, new_shape)

Parameters:
arr: The input array which to be resized.
new_shape:[ int or tuple of ints] The new shape of resized array.

Return : [ resized_array] A new shape of the array.

Code #1 :



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# Python program explaining
# numpy.MaskedArray.resize() method 
    
# importing numpy as geek  
# and numpy.ma module as ma 
import numpy as geek 
import numpy.ma as ma 
    
# creating input array of 2 * 2  
in_arr = geek.array([[10, 20], [-10, 40]]) 
print ("Input array : ", in_arr) 
    
# Now we are creating a masked array. 
# by making one entry as invalid.  
mask_arr = ma.masked_array(in_arr, mask =[[ 1, 0], [ 0, 0]]) 
print ("Masked array : ", mask_arr) 
    
# applying MaskedArray.resize methods to make  
# it a 3 * 3 masked array
out_arr = ma.resize(mask_arr, (3, 3)) 
print ("Output resized masked array : ", out_arr) 

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Output:

Input array :  [[ 10  20]
 [-10  40]]
Masked array :  [[-- 20]
 [-10 40]]
Output resized masked array :  [[-- 20 -10]
 [40 -- 20]
 [-10 40 --]]

 

Code #2 :

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# Python program explaining
# numpy.MaskedArray.resize() method 
    
# importing numpy as geek  
# and numpy.ma module as ma 
import numpy as geek 
import numpy.ma as ma 
    
# creating input array 
in_arr = geek.array([[[ 2e8, 3e-5]], [[ -4e-6, 2e5]]])
print ("Input array : ", in_arr) 
    
# Now we are creating a masked array. 
# by making one entry as invalid.  
mask_arr = ma.masked_array(in_arr, mask =[[[ 1, 0]], [[ 0, 0]]]) 
print ("Masked array : ", mask_arr) 
    
# applying MaskedArray.resize methods to make  
# it a 1 * 6 masked array
out_arr = ma.resize(mask_arr, (1, 6)) 
print ("Output resized masked array : ", out_arr)  

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Output:

Input array :  [[[ 2.e+08  3.e-05]]

 [[-4.e-06  2.e+05]]]
Masked array :  [[[-- 3e-05]]

 [[-4e-06 200000.0]]]
Output resized masked array :  [[-- 3e-05 -4e-06 200000.0 -- 3e-05]]
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