parameters: (tup)
return_statement: return _npi.column_stack(*tup)
docstring: 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.
  
      Returns
      -------
      stacked : 2-D array
          The array formed by stacking the given arrays.
  
      See Also
      --------
      stack, hstack, vstack, concatenate
  
      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.]])
docstring_summary: Stack 1-D arrays as columns into a 2-D array.
docstring_tokens: Stack 1 - D arrays as columns into a 2 - D array .
function: def 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.
  
      Returns
      -------
      stacked : 2-D array
          The array formed by stacking the given arrays.
  
      See Also
      --------
      stack, hstack, vstack, concatenate
  
      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.]])
      """
      return _npi.column_stack(*tup)
function_tokens: def column_stack ( tup ) : return _npi . column_stack ( * tup )