对numpy.append()里的axis的用法详解

def append(arr, values, axis=None):
 """
 Append values to the end of an array.
 Parameters
 ----------
 arr : array_like
  Values are appended to a copy of this array.
 values : array_like
  These values are appended to a copy of `arr`. It must be of the
  correct shape (the same shape as `arr`, excluding `axis`). If
  `axis` is not specified, `values` can be any shape and will be
  flattened before use.
 axis : int, optional
  The axis along which `values` are appended. If `axis` is not
  given, both `arr` and `values` are flattened before use.
 Returns
 -------
 append : ndarray
  A copy of `arr` with `values` appended to `axis`. Note that
  `append` does not occur in-place: a new array is allocated and
  filled. If `axis` is None, `out` is a flattened array.

 Examples
 --------
 >>> np.append([1, 2, 3], [[4, 5, 6], [7, 8, 9]])
 array([1, 2, 3, 4, 5, 6, 7, 8, 9])

import numpy as np
aa= np.zeros((1,8))
bb=np.ones((3,8))
c = np.append(aa,bb,axis = 0)
print(c)

[[ 0. 0. 0. 0. 0. 0. 0. 0.]
 [ 1. 1. 1. 1. 1. 1. 1. 1.]
 [ 1. 1. 1. 1. 1. 1. 1. 1.]
 [ 1. 1. 1. 1. 1. 1. 1. 1.]]

import numpy as np
aa= np.zeros((3,8))
bb=np.ones((3,1))
c = np.append(aa,bb,axis = 1)
print(c)

[[ 0. 0. 0. 0. 0. 0. 0. 0. 1.]
 [ 0. 0. 0. 0. 0. 0. 0. 0. 1.]
 [ 0. 0. 0. 0. 0. 0. 0. 0. 1.]]