code: def get_table(self, name='Meta', h5loc='/meta'):
          
          if not self.meta:
              return None
  
          data = defaultdict(list)
          for entry in self.meta:
              for key, value in entry.items():
                  data[key].append(value)
          dtypes = []
          for key, values in data.items():
              max_len = max(map(len, values))
              dtype = 'S{}'.format(max_len)
              dtypes.append((key, dtype))
          tab = Table(
              data, dtype=dtypes, h5loc=h5loc, name='Meta', h5singleton=True
          )
          return tab
docs: Convert metadata to a KM3Pipe Table.
  
          Returns `None` if there is no data.
  
          Each column's dtype will be set to a fixed size string (numpy.string_)
          with the length of the longest entry, since writing variable length
          strings does not fit the current scheme.