Python numpy.concatenate()用法及代码示例

numpy.concatenate()函数沿着现有轴连接一系列数组。

用法： numpy.concatenate((arr1, arr2, …), axis=0, out=None)

参数：

arr1, arr2, …  :[sequence of array_like] The arrays must have the same shape, except in the dimension corresponding to axis.

axis  :[int, optional] The axis along which the arrays will be joined. If axis is None, arrays are flattened before use. Default is 0.

out  :[ndarray, optional] If provided, the destination to place the result. The shape must be correct, matching that of what concatenate would have returned if no out argument were specified.

Return :[ndarray] The concatenated array.

代码1：

# Python program explaining 
# numpy.concatenate() function 
  
# importing numpy as geek  
import numpy as geek 
  
arr1 = geek.array([[2, 4], [6, 8]]) 
arr2 = geek.array([[3, 5], [7, 9]]) 
  
gfg = geek.concatenate((arr1, arr2), axis = 0) 
  
print (gfg)

输出：

[[2 4]
 [6 8]
 [3 5]
 [7 9]]

代码2：

# Python program explaining 
# numpy.concatenate() function 
  
# importing numpy as geek  
import numpy as geek 
  
arr1 = geek.array([[2, 4], [6, 8]]) 
arr2 = geek.array([[3, 5], [7, 9]]) 
  
gfg = geek.concatenate((arr1, arr2), axis = 1) 
  
print (gfg)

输出：

[[2 4 3 5]
 [6 8 7 9]]

代码3：

# Python program explaining 
# numpy.concatenate() function 
  
# importing numpy as geek  
import numpy as geek 
  
arr1 = geek.array([[2, 4], [6, 8]]) 
arr2 = geek.array([[3, 5], [7, 9]]) 
  
gfg = geek.concatenate((arr1, arr2), axis = None) 
  
print (gfg)

输出：

[2 4 6 8 3 5 7 9]

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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.concatenate() 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。