# numpy.ma.masked_array.mini

`masked_array.``mini`(axis=None)

  Return the array minimum along the specified axis.

  Parameters: | axis : int, optional The axis along which to find the minima. Default is None, in which case the minimum value in the whole array is returned.
  Returns: | min : scalar or MaskedArray If axis is None, the result is a scalar. Otherwise, if axis is given and the array is at least 2-D, the result is a masked array with dimension one smaller than the array on which `mini` is called.

  Examples

      >>> x = np.ma.array(np.arange(6), mask=[0 ,1, 0, 0, 0 ,1]).reshape(3, 2)
      >>> print x
      [[0 --]
       [2 3]
       [4 --]]
      >>> x.mini()
      0
      >>> x.mini(axis=0)
      masked_array(data = [0 3],
                   mask = [False False],
             fill_value = 999999)
      >>> print x.mini(axis=1)
      [0 2 4]