Numpy MaskedArray.flatten() function | Python
numpy.MaskedArray.flatten()
function is used to return a copy of the input masked array collapsed into one dimension.
Syntax : numpy.ma.flatten(order='C')
Parameters:
order : [‘C’, ‘F’, ‘A’, ‘K’, optional] Whether to flatten in C (row-major), Fortran (column-major) order, or preserve the C/Fortran ordering from a. The default is ‘C’.
Return : [ ndarray] A copy of the input array, flattened to one dimension.
Code #1 :
import numpy as geek
import numpy.ma as ma
in_arr = geek.array([[ 10 , 20 ], [ - 10 , 40 ]])
print ( "Input array : " , in_arr)
mask_arr = ma.masked_array(in_arr, mask = [[ 1 , 0 ], [ 0 , 0 ]])
print ( "Masked array : " , mask_arr)
out_arr = mask_arr.flatten()
print ( "Output flattened masked array : " , out_arr)
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Output:
Input array : [[ 10 20]
[-10 40]]
Masked array : [[-- 20]
[-10 40]]
Output flattened masked array : [-- 20 -10 40]
Code #2 :
import numpy as geek
import numpy.ma as ma
in_arr = geek.array([[[ 2e8 , 3e - 5 ]], [[ - 4e - 6 , 2e5 ]]])
print ( "Input array : " , in_arr)
mask_arr = ma.masked_array(in_arr, mask = [[[ 1 , 0 ]], [[ 0 , 0 ]]])
print ( "Masked array : " , mask_arr)
out_arr = mask_arr.flatten(order = 'F' )
print ( "Output flattened 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 flattened masked array : [-- -4e-06 3e-05 200000.0]
Last Updated :
03 Oct, 2019
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