numpy.ma.allclose()函数– Python

numpy.ma.allclose()如果两个数组在容差范围内按元素相等，则函数返回 True。此函数等效于 allclose，但屏蔽值被视为相等（默认）或不相等，具体取决于 masked_equal 参数。

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.

代码#1：

# Python program explaining
# numpy.ma.allclose() function
   
# importing numpy as geek 
# and numpy.ma module as ma 
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)

输出 ：

True

代码#2：

# Python program explaining
# numpy.ma.allclose() function
   
# importing numpy as geek 
# and numpy.ma module as ma 
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)

输出 ：

False