numpy.ma.fix_invalid()函数| Python

numpy.ma.fix_invalid()函数返回输入，其中无效数据被屏蔽并替换为填充值。其中无效数据表示 nan、inf 等的值。

Syntax : numpy.ma.fix_invalid(arr, mask = False, copy = True, fill_value = None)

Parameter :
arr : [array_like] Input array.
mask : [sequence, optional] Must be convertible to an array of booleans with the same shape as data. True indicates a masked data.
copy : [bool, optional] Whether to use a copy of a (True) or to fix a in place (False). Default is True.
fill_value : [scalar, optional] Value used for fixing invalid data. Default is None, in which case the arr.fill_value is used.

Return : [MaskedArray] The input array with invalid entries fixed.

代码#1：

# Python program explaining
# numpy.ma.fix_invalid() function
  
# importing numpy as geek 
import numpy as geek 
   
arr = geek.ma.array([1., -1, geek.nan, geek.inf],
                              mask =[1] + [0]*3)
  
gfg = geek.ma.fix_invalid(arr)
  
print (gfg)

输出 ：

[-- -1.0 -- --]

代码#2：

# Python program explaining
# numpy.ma.fix_invalid() function
  
# importing numpy as geek 
import numpy as geek 
   
arr = geek.ma.array([1., -1, geek.nan,
                    geek.inf, -1, geek.nan],
                          mask =[1] + [0]*5)
  
gfg = geek.ma.fix_invalid(arr)
  
print (gfg)

输出 ：

[-- -1.0 -- -- -1.0 --]