### Navigation

- index
- modules |
- modules |
- next |
- previous |
- NumPy v1.5 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Indexing routines »

# numpy.put

`numpy.``put`(a, ind, v, mode='raise')

  Replaces specified elements of an array with given values.

  The indexing works on the flattened target array. put is roughly equivalent to:

      a.flat[ind] = v

  Parameters : | a : ndarray Target array. ind : array_like Target indices, interpreted as integers. v : array_like Values to place in a at target indices. If v is shorter than ind it will be repeated as necessary. mode : {‘raise’, ‘wrap’, ‘clip’}, optional Specifies how out-of-bounds indices will behave. ‘raise’ – raise an error (default) ‘wrap’ – wrap around ‘clip’ – clip to the range ‘clip’ mode means that all indices that are too large are replaced by the index that addresses the last element along that axis. Note that this disables indexing with negative numbers.

  See also

  `putmask`, `place`

  Examples

      >>> a = np.arange(5)
      >>> np.put(a, [0, 2], [-44, -55])
      >>> a
      array([-44,   1, -55,   3,   4])

      >>> a = np.arange(5)
      >>> np.put(a, 22, -5, mode='clip')
      >>> a
      array([ 0,  1,  2,  3, -5])

### Navigation

- index
- modules |
- modules |
- next |
- previous |
- NumPy v1.5 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Indexing routines »