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# numpy.ma.column_stack

`numpy.ma.``column_stack`(tup)

  > Stack 1-D arrays as columns into a 2-D array

  > Take a sequence of 1-D arrays and stack them as columns to make a single 2-D array. 2-D arrays are stacked as-is, just like with hstack. 1-D arrays are turned into 2-D columns first.

  Parameters: | tup : sequence of 1-D or 2-D arrays. Arrays to stack. All of them must have the same first dimension.

  Notes

  The function is applied to both the _data and the _mask, if any.

  Examples

      >>> a = np.array((1,2,3))
      >>> b = np.array((2,3,4))
      >>> np.column_stack((a,b))
      array([[1, 2],
             [2, 3],
             [3, 4]])

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