original_docstring: 
      This function guesses the axes for a given grid based on the position array
      
docstring: This function guesses the axes for a given grid based on the position array
docstring_tokens: This function guesses the axes for a given grid based on the position array
code: def guessAxes(pos, precision=0.1):
      """
      This function guesses the axes for a given grid based on the position array
      """
      #Round to within the precision given
      #+0.0 prevents weird -0's being in the resulting array
      xpos = np.round(pos[:,0]/precision, 0)*precision + 0.0
      ypos = np.round(pos[:,1]/precision, 0)*precision + 0.0
      zpos = np.round(pos[:,2]/precision, 0)*precision + 0.0
      
      xaxis, yaxis, zaxis = np.unique(xpos), np.unique(ypos), np.unique(zpos)
      
      return xaxis, yaxis, zaxis
code_tokens: def guessAxes ( pos , precision = 0.1 ) : xpos = np . round ( pos [ : , 0 ] / precision , 0 ) * precision + 0.0 ypos = np . round ( pos [ : , 1 ] / precision , 0 ) * precision + 0.0 zpos = np . round ( pos [ : , 2 ] / precision , 0 ) * precision + 0.0 xaxis , yaxis , zaxis = np . unique ( xpos ) , np . unique ( ypos ) , np . unique ( zpos ) return xaxis , yaxis , zaxis
short_docstring: This function guesses the axes for a given grid based on the position array
short_docstring_tokens: This function guesses the axes for a given grid based on the position array
comment: """
      This function guesses the axes for a given grid based on the position array
      """$SEP$#Round to within the precision given
  $SEP$#+0.0 prevents weird -0's being in the resulting array
  