numpy.ma.allclose() function – Python
numpy.ma.allclose()
function returns True if two arrays are element-wise equal within a tolerance. This function is equivalent to allclose except that masked values are treated as equal (default) or unequal, depending on the masked_equal argument.
Syntax : numpy.ma.allclose(a, b, masked_equal = True, rtol = 1e-05, atol = 1e-08)
Parameters :
a, b : [array_like] Input arrays to compare.
masked_equal : [bool, optional] Whether masked values in a and b are considered equal (True) or not (False). They are considered equal by default.
rtol : [float, optional] Relative tolerance. The relative difference is equal to rtol * b. Default is 1e-5.
atol : [float, optional] Absolute tolerance. The absolute difference is equal to atol. Default is 1e-8.
Return : [bool] Returns True if the two arrays are equal within the given tolerance, False otherwise. If either array contains NaN, then False is returned.
Code #1 :
import numpy as geek
import numpy.ma as ma
a = geek.ma.array([ 1e10 , 1e - 8 , 42.0 ], mask = [ 0 , 0 , 1 ])
b = geek.ma.array([ 1.00001e10 , 1e - 9 , - 42.0 ], mask = [ 0 , 0 , 1 ])
gfg = geek.ma.allclose(a, b)
print (gfg)
|
Output :
True
Code #2 :
import numpy as geek
import numpy.ma as ma
a = geek.ma.array([ 1e10 , 1e - 8 , 42.0 ], mask = [ 0 , 0 , 1 ])
b = geek.ma.array([ 1.00001e10 , 1e - 9 , - 42.0 ], mask = [ 0 , 0 , 1 ])
gfg = geek.ma.allclose(a, b, masked_equal = False )
print (gfg)
|
Output :
False
Last Updated :
05 May, 2020
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