Question

我写了一个for循环，该循环花费太多时间。我希望在多个处理器上运行它。但是，我不确定如何实现这一目标。有几个任务困扰着我。像打印数字f迭代已经完成，追加结果等。请帮助我知道什么是可能的解决方案。这样我的代码可以更快地执行。

count = 1
 total_count = len(screen_2_column_names)


    for t in screen_2_column_names:
        #start_time_2 = time.time()
        print("--- Processing %s of %s ---" % (str(count), str(total_count)))
        #print("--- Word Being Processed %s ---" % (t))
        column_name.append(t)
        date.append(date_Value)
        topic_train_1column_18_06_final['check'] = topic_train_1column_18_06_final.Snippet.apply(lambda x : count_documents(t, x))
        temp_df = topic_train_1column_18_06_final.loc[(topic_train_1column_18_06_final['check'] == True), "Total_SRPVS"].astype('int64')
        document_SRPVS.append(temp_df.sum())
        count = count + 1

        #print("--- %s seconds to process %s ---\n" % (round((time.time() - start_time_2),0), t))
    print("--- Second Screen Data in %s minutes ---" % (round((time.time() - start_time_6)/60,0)))

    df = pd.concat([pd.Series(date), pd.Series(column_name), pd.Series(document_SRPVS)], axis=1)

感谢您的帮助。

如何在Python中并行运行此for循环？

0 个答案: