解释这个代码f_1 = open('stopwords.txt', 'r', encoding='utf-8') s_list = [] for i in f_1.readlines(): s_list.append(i.strip()) for line in s_list: t_2 = t_2.replace(line, '')

这段代码的作用是去除文本中的停用词。首先，它打开了一个名为'stopwords.txt'的文件，并将其读取为一个列表。然后，它遍历该列表中的每个停用词，并使用字符串方法'replace'将其从文本中删除。最后，它返回处理后的文本。

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stopword_path = 'stopwords.txt' stopwords = [line.strip() for line in open(stopword_path, 'r', encoding='utf-8').readlines()]

As an AI language model, I don't have access to files. However, I can explain what this code does:

1. It sets the variable `stopword_path` to the string `'stopwords.txt'`.
2. It opens the file at the path specified by `stopword_path` in read mode (`'r'`) with the encoding `'utf-8'`.
3. It reads all the lines from the file using the `readlines()` method.
4. It strips the newline character (`'\n'`) from each line using the `strip()` method.
5. It creates a list of the stripped lines, which represents the stopwords.
6. It assigns the list of stopwords to the variable `stopwords`.

解释这个代码import openpyxl, jieba, wordcloud import matplotlib.pyplot as plt from PIL import Image import numpy as np wb = openpyxl.load_workbook('豆瓣短评爬虫_电影、图书_哆啦A梦 伴我同行2.xlsx') ws = wb.active content = '' for row in range(2, ws.max_row+1): content += ws.cell(row, 7).value t_1 = jieba.lcut(content) t_2 = ''.join(t_1) f_1 = open('stopwords.txt', 'r', encoding='utf-8') s_list = [] for i in f_1.readlines(): s_list.append(i.strip()) for line in s_list: t_2 = t_2.replace(line, '') photo = np.array(Image.open('皮卡丘.jpg')) tu = wordcloud.WordCloud(font_path='STKAITI.TTF', colormap='cool', background_color='white', mask=photo) tu.generate(t_2) tu.to_file('tu2.jpg') plt.imshow(tu) plt.axis('off') plt.show()

这段代码是一个Python程序，它使用了openpyxl、jieba、wordcloud、matplotlib.pyplot和PIL等库。程序的功能是读取一个名为“豆瓣短评爬虫_电影、图书_哆啦A梦 伴我同行2.xlsx”的Excel文件，提取其中第7列的内容，并使用jieba库进行分词处理。接着，程序读取一个名为“stopwords.txt”的文本文件，将其中的停用词去除。最后，程序使用wordcloud库生成一个名为“tu2.jpg”的词云图，并使用matplotlib.pyplot库将其显示出来。