Python numpy.ravel_multi_index()用法及代码示例

numpy.ravel_multi_index()函数将边界数组的元组转换为平面索引数组，并将边界模式应用于multi-index。

用法： numpy.ravel_multi_index(multi_index, dims, mode = ‘raise’, order = ‘C)

参数：

multi_index :[tuple of array_like] A tuple of integer arrays, one array for each dimension.

dims :[tuple of ints] The shape of array into which the indices from multi_index apply.

mode  :[{‘raise’, ‘wrap’, ‘clip’}, optional] Specifies how out-of-bounds indices are handled. Can specify either one mode or a tuple of modes, one mode per index.

‘raise’ - raise an error (default)

‘wrap’ - wrap around

‘clip’ - clip to the range

In ‘clip’ mode, a negative index that would normally wrap will clip to 0 instead.

order :[{‘C’, ‘F’}, optional] Determines whether the multi-index should be viewed as indexing in row-major (C-style) or column-major (Fortran-style) order.

返回：[ndarray]索引数组，这些维度数组是维数组的扁平化版本。

代码1：

# Python program explaining 
# numpy.ravel_multi_index() function 
  
# importing numpy as geek  
import numpy as geek 
  
arr = geek.array([[3, 6, 6], [4, 5, 1]]) 
  
gfg = geek.ravel_multi_index(arr, (7, 6)) 
  
print(gfg)

输出：

[22 41 37]

代码2：

# Python program explaining 
# numpy.ravel_multi_index() function 
  
# importing numpy as geek  
import numpy as geek 
  
arr = geek.array([[3, 6, 6], [4, 5, 1]]) 
  
gfg = geek.ravel_multi_index(arr, (7, 6), order = 'F') 
  
print(gfg)

输出：

[31 41 13]

代码3：

# Python program explaining 
# numpy.ravel_multi_index() function 
  
# importing numpy as geek  
import numpy as geek 
  
arr = geek.array([[3, 6, 6], [4, 5, 1]]) 
  
gfg = geek.ravel_multi_index(arr, (7, 6), mode = 'clip') 
  
print(gfg)

输出：

[22 41 37]

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注：本文由纯净天空筛选整理自sanjoy_62大神的英文原创作品 numpy.ravel_multi_index() function | Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。