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# 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. In ‘raise’ mode, if an exception occurs the target array may still be modified.

  See also

  `putmask`, `place`
  `put_along_axis`

    Put elements by matching the array and the index arrays

  Examples

      >>> import numpy as np
      >>> 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])