code: def to_array(self):
          
          dt = np.dtype(list(zip(self.labels, (c.dtype for c in self.columns))))
          arr = np.empty_like(self.columns[0], dt)
          for label in self.labels:
              arr[label] = self[label]
          return arr
docs: Convert the table to a structured NumPy array.