今天做了python的实验四
代码如下:
import re from collections import Counter import requests from lxml import etree import pandas as pd import jieba import matplotlib.pyplot as plt from wordcloud import WordCloud headers = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/101.0.4951.54 Safari/537.36 Edg/101.0.1210.39" } comments = [] words = [] def regex_change(line): # 前缀的正则 username_regex = re.compile(r"^\d+::") # URL,为了防止对中文的过滤,所以使用[a-zA-Z0-9]而不是\w url_regex = re.compile(r""" (https?://)? ([a-zA-Z0-9]+) (\.[a-zA-Z0-9]+) (\.[a-zA-Z0-9]+)* (/[a-zA-Z0-9]+)* """, re.VERBOSE | re.IGNORECASE) # 剔除日期 data_regex = re.compile(u""" #utf-8编码 年 | 月 | 日 | (周一) | (周二) | (周三) | (周四) | (周五) | (周六) """, re.VERBOSE) # 剔除所有数字 decimal_regex = re.compile(r"[^a-zA-Z]\d+") # 剔除空格 space_regex = re.compile(r"\s+") regEx = "[\n”“|,,;;''/?! 。的了是]" # 去除字符串中的换行符、中文冒号、|,需要去除什么字符就在里面写什么字符 line = re.sub(regEx, "", line) line = username_regex.sub(r"", line) line = url_regex.sub(r"", line) line = data_regex.sub(r"", line) line = decimal_regex.sub(r"", line) line = space_regex.sub(r"", line) return line def getComments(url): score = 0 resp = requests.get(url, headers=headers).text html = etree.HTML(resp) comment_list = html.xpath(".//div[@class='comment']") for comment in comment_list: status = "" name = comment.xpath(".//span[@class='comment-info']/a/text()")[0] # 用户名 content = comment.xpath(".//p[@class='comment-content']/span[@class='short']/text()")[0] # 短评内容 content = str(content).strip() word = jieba.cut(content, cut_all=False, HMM=False) time = comment.xpath(".//span[@class='comment-info']/a/text()")[1] # 评论时间 mark = comment.xpath(".//span[@class='comment-info']/span/@title") # 评分 if len(mark) == 0: score = 0 else: for i in mark: status = str(i) if status == "力荐": score = 5 elif status == "推荐": score = 4 elif status == "还行": score = 3 elif status == "较差": score = 2 elif status == "很差": score = 1 good = comment.xpath(".//span[@class='comment-vote']/span[@class='vote-count']/text()")[0] # 点赞数(有用数) comments.append([str(name), content, str(time), score, int(good)]) for i in word: if len(regex_change(i)) >= 2: words.append(regex_change(i)) def getWordCloud(words): # 生成词云 all_words = [] all_words += [word for word in words] dict_words = dict(Counter(all_words)) bow_words = sorted(dict_words.items(), key=lambda d: d[1], reverse=True) print("热词前10位:") for i in range(10): print(bow_words[i]) text = ' '.join(words) w = WordCloud(background_color='white', width=1000, height=700, font_path='simhei.ttf', margin=10).generate(text) plt.show() plt.imshow(w) w.to_file('wordcloud.png') print("请选择以下选项:") print(" 1.热门评论") print(" 2.最新评论") info = int(input()) print("前10位短评信息:") title = ['用户名', '短评内容', '评论时间', '评分', '点赞数'] if info == 1: comments = [] words = [] for i in range(0, 60, 20): url = "https://book.douban.com/subject/10517238/comments/?start={}&limit=20&status=P&sort=new_score".format( i) # 前3页短评信息(热门) getComments(url) df = pd.DataFrame(comments, columns=title) print(df.head(10)) print("点赞数前10位的短评信息:") df = df.sort_values(by='点赞数', ascending=False) print(df.head(10)) getWordCloud(words) elif info == 2: comments = [] words=[] for i in range(0, 60, 20): url = "https://book.douban.com/subject/10517238/comments/?start={}&limit=20&status=P&sort=time".format( i) # 前3页短评信息(最新) getComments(url) df = pd.DataFrame(comments, columns=title) print(df.head(10)) print("点赞数前10位的短评信息:") df = df.sort_values(by='点赞数', ascending=False) print(df.head(10)) getWordCloud(words)
import matplotlib.pyplot as plt import numpy as np x = np.arange(0, 10, 0.0001) y1 = x ** 2 y2 = np.cos(x * 2) y3 = y1 * y2 plt.plot(x, y1,linestyle='-.') plt.plot(x, y2,linestyle=':') plt.plot(x, y3,linestyle='--') plt.savefig("3-1.png") plt.show() import matplotlib.pyplot as plt import numpy as np fig, subs = plt.subplots(2, 2) subs[0][0].plot(x, y1) subs[0][1].plot(x, y2) subs[1][0].plot(x, y3) plt.savefig("3-2.png") plt.show()
import matplotlib.pyplot as plt import numpy as np x = np.arange(-2, 2, 0.0001) y1 = np.sqrt(2 * np.sqrt(x ** 2) - x ** 2) y2 = (-2.14) * np.sqrt(np.sqrt(2) - np.sqrt(np.abs(x))) plt.plot(x, y1, 'r', x, y2, 'r') plt.fill_between(x, y1, y2, facecolor='orange') plt.savefig("heart.png") plt.show()
标签:总结,comment,plt,5.9,regex,words,今日,import,line From: https://www.cnblogs.com/psh888/p/17386248.html