parameters: (self)
return_statement: return numpy.transpose(numpy.asarray([self[x] for x in self.column_names()]))
docstring: Converts this SFrame to a numpy array
  
          This operation will construct a numpy array in memory. Care must
          be taken when size of the returned object is big.
  
          Returns
          -------
          out : numpy.ndarray
              A Numpy Array containing all the values of the SFrame
docstring_summary: Converts this SFrame to a numpy array
docstring_tokens: Converts this SFrame to a numpy array
function: def to_numpy(self):
          """
          Converts this SFrame to a numpy array
  
          This operation will construct a numpy array in memory. Care must
          be taken when size of the returned object is big.
  
          Returns
          -------
          out : numpy.ndarray
              A Numpy Array containing all the values of the SFrame
  
          """
          assert HAS_NUMPY, 'numpy is not installed.'
          import numpy
          return numpy.transpose(numpy.asarray([self[x] for x in self.column_names()]))
function_tokens: def to_numpy ( self ) : assert HAS_NUMPY , 'numpy is not installed.' import numpy return numpy . transpose ( numpy . asarray ( [ self [ x ] for x in self . column_names ( ) ] ) )