numpy.ma.mask_rows()函数| Python

在这个numpy.ma.mask_rows()函数中，屏蔽包含屏蔽值的二维数组的行。此函数是轴等于 0 的 mask_rowcols 的快捷方式。

Syntax : numpy.ma.mask_rows(arr, axis = None) 
Parameters : 
arr : [array_like, MaskedArray] The array to mask. The result is a MaskedArray. 
axis : [int, optional] Axis along which to perform the operation. Default is None.
Return : [MaskedArray] A modified version of the input array. 
 

代码#1：

Python3

# Python program explaining
# numpy.ma.mask_rows() function
 
# importing numpy as geek
# and numpy.ma module as ma
import numpy as geek
import numpy.ma as ma
 
arr = geek.zeros((4, 4), dtype = int)
arr[2, 2] = 1
 
arr = ma.masked_equal(arr, 1)
 
gfg = ma.mask_rows(arr)
 
print (gfg)

输出 ：

[[0 0 0 0]
 [0 0 0 0]
 [-- -- -- --]
 [0 0 0 0]]

代码#2：

Python3

# Python program explaining
# numpy.ma.mask_rows() function
 
# importing numpy as geek 
# and numpy.ma module as ma
import numpy as geek
import numpy.ma as ma
 
arr = geek.zeros((5, 5), dtype = int)
arr[3, 3] = 1
  
arr = ma.masked_equal(arr, 1)
 
gfg = ma.mask_rows(arr)
 
print (gfg)

输出 ：

[[0 0 0 0 0]
 [0 0 0 0 0]
 [0 0 0 0 0]
 [-- -- -- -- --]
 [0 0 0 0 0]]