Python 如何在dataframe中生成列的md5 has

我有一个数据帧df，列为

Index(['learner_assignment_xid', 'assignment_xid', 'assignment_attempt_xid',
   'learner_xid', 'section_xid', 'final_score_unweighted',
   'attempt_score_unweighted', 'points_possible_unweighted',
   'scored_datetime', 'gradebook_category_weight', 'status', 'is_deleted',
   'is_scorable', 'drop_state', 'is_manual', 'created_datetime',
   'updated_datetime'],
  dtype='object')

我想向thif-df添加一个名为checksum的新列，它将连接其中一些列并对其进行md5哈希

我正在尝试：

df_gradebook['updated_checksum']=df_gradebook['final_score_unweighted'].astype(str)+df_gradebook['attempt_score_unweighted'].astype(str)+df_gradebook['points_possible_unweighted'].astype(str)+df_gradebook['scored_datetime'].astype(str)+df_gradebook['status'].astype(str)+df_gradebook['is_deleted'].astype(str)+df_gradebook['is_scorable'].astype(str)+df_gradebook['drop_state'].astype(str)+df_gradebook['updated_datetime'].astype(str)

我正在挣扎的部分是散列。连接完成后如何应用md5

我可以在spark scala中这样做：

 .withColumn("update_checksum",md5(concat(
  $"final_score_unweighted", 
  $"attempt_score_unweighted", 
  $"points_possible_unweighted",
  $"scored_datetime", 
  $"status",
  $"is_deleted",
  $"is_scorable",
  $"drop_state",
  $"updated_datetime"
  )))

想知道如何用python实现md5

df_gradebook['concat']=df_gradebook['final_score_unweighted'].astype(str)+df_gradebook['attempt_score_unweighted'].astype(str)+df_gradebook['points_possible_unweighted'].astype(str)+df_gradebook['scored_datetime'].astype(str)+df_gradebook['status'].astype(str)+df_gradebook['is_deleted'].astype(str)+df_gradebook['is_scorable'].astype(str)+df_gradebook['drop_state'].astype(str)+df_gradebook['updated_datetime'].astype(str)

df_gradebook['digest'] = df_gradebook['concat'].apply(lambda x: hashlib.md5(x.encode()).hexdigest())

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不要把每件事都写在一行中，这会使阅读困难。

非常感谢！这很有效