### Navigation

- index
- modules |
- modules |
- next |
- previous |
- NumPy v1.7 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Array manipulation routines »

# numpy.append

`numpy.``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.

  See also

  `insert`
    Insert elements into an array.
  `delete`
    Delete elements from an array.

  Examples

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

  When axis is specified, values must have the correct shape.

      >>> np.append([[1, 2, 3], [4, 5, 6]], [[7, 8, 9]], axis=0)
      array([[1, 2, 3],
             [4, 5, 6],
             [7, 8, 9]])
      >>> np.append([[1, 2, 3], [4, 5, 6]], [7, 8, 9], axis=0)
      Traceback (most recent call last):
      ...
      ValueError: arrays must have same number of dimensions

### Navigation

- index
- modules |
- modules |
- next |
- previous |
- NumPy v1.7 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Array manipulation routines »