code: def load_glove_df(filepath, **kwargs):
      
      pdkwargs = dict(index_col=0, header=None, sep=r'\s', skiprows=[0], verbose=False, engine='python')
      pdkwargs.update(kwargs)
      return pd.read_csv(filepath, **pdkwargs)
docs: Load a GloVE-format text file into a dataframe
  
      >>> df = load_glove_df(os.path.join(BIGDATA_PATH, 'glove_test.txt'))
      >>> df.index[:3]
      Index(['the', ',', '.'], dtype='object', name=0)
      >>> df.iloc[0][:3]
      1    0.41800
      2    0.24968
      3   -0.41242
      Name: the, dtype: float64