### Navigation

- index
- modules |
- next |
- previous |
- NumPy v1.3 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Array manipulation routines »

# numpy.repeat

`numpy.``repeat`(a, repeats, axis=None)

  Repeat elements of an array.

  Parameters: | a : array_like Input array. repeats : {int, array of ints} The number of repetitions for each element. repeats is broadcasted to fit the shape of the given axis. axis : int, optional The axis along which to repeat values. By default, use the flattened input array, and return a flat output array.
  Returns: | repeated_array : ndarray Output array which has the same shape as a, except along the given axis.

  See also

  `tile`
    Tile an array.

  Examples

      >>> x = np.array([[1,2],[3,4]])
      >>> np.repeat(x, 2)
      array([1, 1, 2, 2, 3, 3, 4, 4])
      >>> np.repeat(x, 3, axis=1)
      array([[1, 1, 1, 2, 2, 2],
             [3, 3, 3, 4, 4, 4]])
      >>> np.repeat(x, [1, 2], axis=0)
      array([[1, 2],
             [3, 4],
             [3, 4]])

### Navigation

- index
- modules |
- next |
- previous |
- NumPy v1.3 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Array manipulation routines »