Numpy MaskedArray.atleast_2d() function | Python
Last Updated :
13 Oct, 2019
numpy.MaskedArray.atleast_2d()
function is used to convert inputs to masked arrays with at least two dimension.Scalar and 1-dimensional arrays are converted to 2-dimensional arrays, whilst higher-dimensional inputs are preserved.
Syntax : numpy.ma.atleast_2d(*arys)
Parameters:
arys:[ array_like] One or more input arrays.
Return : [ ndarray] An array, or list of arrays, each with arr.ndim >= 2
Code #1 :
import numpy as geek
import numpy.ma as ma
in_arr1 = geek.array([ 3 , - 1 , 5 , - 3 ])
print ( "1st Input array : " , in_arr1)
in_arr2 = geek.array( 2 )
print ( "2nd Input array : " , in_arr2)
mask_arr1 = ma.masked_array(in_arr1, mask = [ 1 , 0 , 1 , 0 ])
print ( "1st Masked array : " , mask_arr1)
mask_arr2 = ma.masked_array(in_arr2, mask = 0 )
print ( "2nd Masked array : " , mask_arr2)
out_arr = ma.atleast_2d(mask_arr1, mask_arr2)
print ( "Output masked array : " , out_arr)
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Output:
1st Input array : [ 3 -1 5 -3]
2nd Input array : 2
1st Masked array : [-- -1 -- -3]
2nd Masked array : 2
Output masked array : [masked_array(data=[[--, -1, --, -3]],
mask=[[ True, False, True, False]],
fill_value=999999), masked_array(data=[[2]],
mask=[[False]],
fill_value=999999)]
Code #2 :
import numpy as geek
import numpy.ma as ma
in_arr = geek.array([[[ 2e8 , 3e - 5 ]], [[ - 45.0 , 2e5 ]]])
print ( "Input array : " , in_arr)
mask_arr = ma.masked_array(in_arr, mask = [[[ 1 , 0 ]], [[ 0 , 0 ]]])
print ( "3D Masked array : " , mask_arr)
out_arr = ma.atleast_2d(mask_arr)
print ( "Output masked array : " , out_arr)
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Output:
Input array : [[[ 2.0e+08 3.0e-05]]
[[-4.5e+01 2.0e+05]]]
3D Masked array : [[[-- 3e-05]]
[[-45.0 200000.0]]]
Output masked array : [[[-- 3e-05]]
[[-45.0 200000.0]]]
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