code: def _read_all_z_variable_info(self):
          
  
          self.z_variable_info = {}
          self.z_variable_names_by_num = {}
  
          # call Fortran that grabs all of the basic stats on all of the
          # zVariables in one go.
          info = fortran_cdf.z_var_all_inquire(self.fname, self._num_z_vars,
                                               len(self.fname))
          status = info[0]
          data_types = info[1]
          num_elems = info[2]
          rec_varys = info[3]
          dim_varys = info[4]
          num_dims = info[5]
          dim_sizes = info[6]
          rec_nums = info[7]
          var_nums = info[8]
          var_names = info[9]
  
          if status == 0:
              for i in np.arange(len(data_types)):
                  out = {}
                  out['data_type'] = data_types[i]
                  out['num_elems'] = num_elems[i]
                  out['rec_vary'] = rec_varys[i]
                  out['dim_varys'] = dim_varys[i]
                  out['num_dims'] = num_dims[i]
                  # only looking at first possible extra dimension
                  out['dim_sizes'] = dim_sizes[i, :1]
                  if out['dim_sizes'][0] == 0:
                      out['dim_sizes'][0] += 1
                  out['rec_num'] = rec_nums[i]
                  out['var_num'] = var_nums[i]
                  var_name = ''.join(var_names[i].astype('U'))
                  out['var_name'] = var_name.rstrip()
                  self.z_variable_info[out['var_name']] = out
                  self.z_variable_names_by_num[out['var_num']] = var_name
          else:
              raise IOError(fortran_cdf.statusreporter(status))
docs: Gets all CDF z-variable information, not data though.
  
          Maps to calls using var_inquire. Gets information on
          data type, number of elements, number of dimensions, etc.