modify multiFFMFormatPandas

utils.py

@@ -120,20 +120,11 @@ class multiFFMFormatPandas:
         # 设置进程的数量
         pool = Pool(processes)
         print("总进度: " + str(len(data_list)))
+        result_map = {}
         for i in range(len(data_list)):
             data_list[i] = pool.apply_async(self.pool_function, (data_list[i], t,))
+            result_map.update(data_list[i].get())
 
-        result_map = {}
-        for i in data_list:
-            result_map.update(i.get())
-
-        '''
-        # 使用生成器方法计算，配合data_split_line的一起使用
-        result_map = {}
-        for i in data_list:
-            s = pool.apply_async(self.pool_function, (i, t,))
-            result_map.update(s.get())
-        '''
         pool.close()
         pool.join()
 
@@ -141,7 +132,6 @@ class multiFFMFormatPandas:
 
     # 多进程计算方法
     def pool_function(self, df, t):
-        s = {idx: self.transform_row_(row, t) for idx, row in df.iterrows()}
         return {idx: self.transform_row_(row, t) for idx, row in df.iterrows()}
 
     # 切分数据方法，传人dataframe和切分条数的步长,返回dataframe的集合，每个dataframe中含有若干条数据