code: def load_trajs(fn, meta='meta.pandas.pickl', key_to_path=None):
      
      if key_to_path is None:
          key_to_path = default_key_to_path
  
      if isinstance(meta, str):
          meta = load_meta(meta_fn=meta)
      trajs = {}
      for k in meta.index:
          trajs[k] = np.load(os.path.join(fn, key_to_path(k)))
      return meta, trajs
docs: Load trajectory-like data
  
      Data is expected to be stored as if saved by ``save_trajs``.
  
      This method finds trajectories based on the ``meta`` dataframe.
      If you remove a file (trajectory) from disk, be sure to remove
      its row from the dataframe. If you remove a row from the dataframe,
      be aware that that trajectory (file) will not be loaded, even if
      it exists on disk.
  
      Parameters
      ----------
      fn : str
          Where the data is saved. This should be a directory containing
          one file per trajectory.
      meta : pd.DataFrame or str
          The DataFrame of metadata. If this is a string, it is interpreted
          as a filename and the dataframe is loaded from disk.
  
      Returns
      -------
      meta : pd.DataFrame
          The DataFrame of metadata. If you passed in a string (filename)
          to the ``meta`` input, this will be the loaded DataFrame. If
          you gave a DataFrame object, this will just be a reference back
          to that object
      trajs : dict
          Dictionary of trajectory-like np.ndarray's keyed on the values
          of ``meta.index``.