numpy.ma.make_mask()函数| Python

numpy.ma.make_mask()函数用于从数组创建布尔掩码。
此函数可以接受任何可转换为整数或 nomask 的序列。它不要求内容必须是 0 和 1，值 0 被解释为 False，其他所有值都被解释为 True。返回 m 作为布尔掩码。

Syntax : numpy.ma.make_mask(m, copy = False, shrink = True, dtype = bool )
Parameters : 
arr : [ array_like] Potential mask. 
copy : [bool, optional] Whether to return a copy of m (True) or m itself (False). 
shrink : [bool, optional] Whether to shrink m to nomask if all its values are False. 
dtype : [dtype, optional] Data-type of the output mask. By default, the output mask has a dtype of MaskType (bool).
Return : [ndarray] A boolean mask derived from m. 
 

代码#1：

Python3

# Python program explaining
# numpy.ma.make_mask() function
 
# importing numpy as geek 
# and numpy.ma module as ma
import numpy as geek
import numpy.ma as ma
 
m = [1, 1, 0, 1]
 
gfg = ma.make_mask(m)
 
print (gfg)

输出 ：

[ True  True False  True]

代码#2：

Python3

# Python program explaining
# numpy.ma.make_mask() function
 
# importing numpy as geek 
# and numpy.ma module as ma
import numpy as geek
import numpy.ma as ma
 
m = [2, -3, 0, 1]
 
gfg = ma.make_mask(m)
 
print (gfg)

输出 ：

[ True  True False  True]

代码#3：

Python3

# Python program explaining
# numpy.ma.make_mask() function
 
# importing numpy as geek 
# and numpy.ma module as ma
import numpy as geek
import numpy.ma as ma
 
m = [True, True, True, False]
 
gfg = ma.make_mask(m)
 
print (gfg)

输出 ：

[ True  True  True False]