code: def CreateNumpyVector(self, x):
          
  
          if np is None:
              # Numpy is required for this feature
              raise NumpyRequiredForThisFeature("Numpy was not found.")
  
          if not isinstance(x, np.ndarray):
              raise TypeError("non-numpy-ndarray passed to CreateNumpyVector")
  
          if x.dtype.kind not in ['b', 'i', 'u', 'f']:
              raise TypeError("numpy-ndarray holds elements of unsupported datatype")
  
          if x.ndim > 1:
              raise TypeError("multidimensional-ndarray passed to CreateNumpyVector")
  
          self.StartVector(x.itemsize, x.size, x.dtype.alignment)
  
          # Ensure little endian byte ordering
          if x.dtype.str[0] == "<":
              x_lend = x
          else:
              x_lend = x.byteswap(inplace=False)
  
          # Calculate total length
          l = UOffsetTFlags.py_type(x_lend.itemsize * x_lend.size)
          ## @cond FLATBUFFERS_INTERNAL
          self.head = UOffsetTFlags.py_type(self.Head() - l)
          ## @endcond
  
          # tobytes ensures c_contiguous ordering
          self.Bytes[self.Head():self.Head()+l] = x_lend.tobytes(order='C')
          
          return self.EndVector(x.size)
docs: CreateNumpyVector writes a numpy array into the buffer.