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# numpy.ma.masked_array.put

`masked_array.``put`(indices, values, mode='raise')

  Set storage-indexed locations to corresponding values.

  Sets self._data.flat[n] = values[n] for each n in indices. If values is shorter than `indices` then it will repeat. If values has some masked values, the initial mask is updated in consequence, else the corresponding values are unmasked.

  Parameters : | indices : 1-D array_like Target indices, interpreted as integers. values : array_like Values to place in self._data copy at target indices. mode : {‘raise’, ‘wrap’, ‘clip’}, optional Specifies how out-of-bounds indices will behave. ‘raise’ : raise an error. ‘wrap’ : wrap around. ‘clip’ : clip to the range.

  Notes

  values can be a scalar or length 1 array.

  Examples

      >>> x = np.ma.array([[1,2,3],[4,5,6],[7,8,9]], mask=[0] + [1,0]*4)
      >>> print x
      [[1 -- 3]
       [-- 5 --]
       [7 -- 9]]
      >>> x.put([0,4,8],[10,20,30])
      >>> print x
      [[10 -- 3]
       [-- 20 --]
       [7 -- 30]]

      >>> x.put(4,999)
      >>> print x
      [[10 -- 3]
       [-- 999 --]
       [7 -- 30]]

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