WS_FILENAME_GET函数

介绍下WS_FILENAME_GET函数的用法,给个例子。它的作用是按F4的时候,打开一个对话框选择了相应的文件后得到文件名并显示在选择屏幕上。我用这个函数就是将报表输出到execl的时候用到。代码如下:

  AT SELECTION-SCREEN ON VALUE-REQUEST FOR pa_file.
  CALL FUNCTION 'WS_FILENAME_GET'
   EXPORTING
     def_filename           = 'zl'     "?中文名
     def_path               = 'c:/'
     mask                   = ',Excel(*.xls),*.XLS.'
     mode                   = 's'
*     TITLE                  = ''
   IMPORTING
     filename               = pa_file
*     RC                     =
   EXCEPTIONS
     inv_winsys             = 1
     no_batch               = 2
     selection_cancel       = 3
     selection_error        = 4
     OTHERS                 = 5
            .
  IF sy-subrc <> 0.
    MESSAGE ID sy-msgid TYPE sy-msgty NUMBER sy-msgno
            WITH sy-msgv1 sy-msgv2 sy-msgv3 sy-msgv4.
  ENDIF.

import pandas as pd from openpyxl import Workbook # 获取主题下词语的概率分布 def get_topic_word_distribution(lda, tf_feature_names): arr = lda.transform(tf_vectorizer.transform([' '.join(tf_feature_names)])) return arr[0] # 打印主题下词语的概率分布 def print_topic_word_distribution(lda, tf_feature_names, n_top_words,n_topics): dist = get_topic_word_distribution(lda, tf_feature_names,n_topics) for i in range(n_topics): print("Topic {}: {}".format(i, ', '.join("{:.4f}".format(x) for x in dist[i]))) # 输出每个主题下词语的概率分布至Excel表格 def output_topic_word_distribution_to_excel(lda, tf_feature_names, n_top_words, n_topics,filename): # 创建Excel工作簿和工作表 wb = Workbook() ws = wb.active ws.title = "Topic Word Distribution" # 添加表头 ws.cell(row=1, column=1).value = "Topic" for j in range(n_top_words): ws.cell(row=1, column=j+2).value = tf_feature_names[j] # 添加每个主题下词语的概率分布 dist = get_topic_word_distribution(lda, tf_feature_names, n_topics) for i in range(n_topics): ws.cell(row=i+2, column=1).value = i for j in range(n_top_words): ws.cell(row=i+2, column=j+2).value = dist[i][j] # 保存Excel文件 wb.save(filename) n_top_words = 30 tf_feature_names = tf_vectorizer.get_feature_names() topic_word = print_topic_word_distribution(lda, tf_feature_names, n_top_words, n_topics) #print_topic_word_distribution(lda, tf_feature_names, n_top_words) output_topic_word_distribution_to_excel(lda, tf_feature_names, n_top_words, n_topics, "topic_word_distribution.xlsx")报错Traceback (most recent call last): File "D:\python\lda3\data_1.py", line 157, in <module> topic_word = print_topic_word_distribution(lda, tf_feature_names, n_top_words, n_topics) File "D:\python\lda3\data_1.py", line 128, in print_topic_word_distribution dist = get_topic_word_distribution(lda, tf_feature_names,n_topics) TypeError: get_topic_word_distribution() takes 2 positional arguments but 3 were given
05-25
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