但是问题有三个:
以下是经过Python3.6.4调试通过的代码,与大家分享:
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from selenium import webdriver import time import urllib.request
driver = webdriver.Chrome() driver.maximize_window() driver.get("https://www.zhihu.com/question/29134042") i = 0 while i < 10: driver.execute_script("window.scrollTo(0, document.body.scrollHeight);") time.sleep(2) try: driver.find_element_by_css_selector('button.QuestionMainAction').click() print("page" + str(i)) time.sleep(1) except: break result_raw = driver.page_source content_list = re.findall("img src=\"(.+?)\" ", str(result_raw)) n = 0 while n < len(content_list): i = time.time() local = (r"%s.jpg" % (i)) urllib.request.urlretrieve(content_list[n], local) print("编号:" + str(i)) n = n + 1 |
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from time import sleep import requests s = input("请主人输入话题:") while True: resp = requests.post("http://www.tuling123.com/openapi/api",data={"key":"4fede3c4384846b9a7d0456a5e1e2943", "info": s, }) resp = resp.json() sleep(1) print('小鱼:', resp['text']) s = resp['text'] resp = requests.get("http://api.qingyunke.com/api.php", {'key': 'free', 'appid':0, 'msg': s}) resp.encoding = 'utf8' resp = resp.json() sleep(1) print('菲菲:', resp['content']) #网上还有一个据说智商比较高的小i机器人,用爬虫的功能来实现一下:
import urllib.request import re
while True: x = input("主人:") x = urllib.parse.quote(x) link = urllib.request.urlopen( "http://nlp.xiaoi.com/robot/webrobot?&callback=__webrobot_processMsg&data=%7B%22sessionId%22%3A%22ff725c236e5245a3ac825b2dd88a7501%22%2C%22robotId%22%3A%22webbot%22%2C%22userId%22%3A%227cd29df3450745fbbdcf1a462e6c58e6%22%2C%22body%22%3A%7B%22content%22%3A%22" + x + "%22%7D%2C%22type%22%3A%22txt%22%7D") html_doc = link.read().decode() reply_list = re.findall(r'\"content\":\"(.+?)\\r\\n\"', html_doc) print("小i:" + reply_list[-1]) |
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import jieba from nltk.classify import NaiveBayesClassifier
# 需要提前把李白的诗收集一下,放在libai.txt文本中。 text1 = open(r"libai.txt", "rb").read() list1 = jieba.cut(text1) result1 = " ".join(list1) # 需要提前把杜甫的诗收集一下,放在dufu.txt文本中。 text2 = open(r"dufu.txt", "rb").read() list2 = jieba.cut(text2) result2 = " ".join(list2)
# 数据准备 libai = result1 dufu = result2
# 特征提取 def word_feats(words): return dict([(word, True) for word in words])
libai_features = [(word_feats(lb), 'lb') for lb in libai] dufu_features = [(word_feats(df), 'df') for df in dufu] train_set = libai_features + dufu_features # 训练决策 classifier = NaiveBayesClassifier.train(train_set)
# 分析测试 sentence = input("请输入一句你喜欢的诗:") print("\n") seg_list = jieba.cut(sentence) result1 = " ".join(seg_list) words = result1.split(" ")
# 统计结果
lb = 0 df = 0 for word in words: classResult = classifier.classify(word_feats(word)) if classResult == 'lb': lb = lb + 1 if classResult == 'df': df = df + 1
# 呈现比例 x = float(str(float(lb) / len(words))) y = float(str(float(df) / len(words))) print('李白的可能性:%.2f%%' % (x * 100)) print('杜甫的可能性:%.2f%%' % (y * 100)) |
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import random
temp = [i + 1 for i in range(35)] random.shuffle(temp) i = 0 list = [] while i < 7: list.append(temp[i]) i = i + 1 list.sort() print('\033[0;31;;1m') print(*list[0:6], end="") print('\033[0;34;;1m', end=" ") print(list[-1]) |
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import random import xlrd
ExcelFile = xlrd.open_workbook(r'test.xlsx') sheet = ExcelFile.sheet_by_name('Sheet1') i = [] x = input("请输入具体事件:") y = int(input("老师要求的字数:")) while len(str(i)) < y * 1.2: s = random.randint(1, 60) rows = sheet.row_values(s) i.append(*rows) print(" "*8+"检讨书"+"\n"+"老师:") print("我不应该" + str(x)+",", *i) print("再次请老师原谅!") ''' |
以下是样稿:
请输入具体事件:抽烟
老师要求的字数:200
检讨书老师:
我不应该抽烟, 学校一开学就三令五申,一再强调校规校纪,提醒学生不要违反校规,可我却没有把学校和老师的话放在心上,没有重视老师说的话,没有重视学校颁布的重要事项,当成了耳旁风,这些都是不应该的。同时也真诚地希望老师能继续关心和支持我,并却对我的问题酌情处理。 无论在学习还是在别的方面我都会用校规来严格要求自己,我会把握这次机会。 但事实证明,仅仅是热情投入、刻苦努力、钻研学业是不够的,还要有清醒的政治头脑、大局意识和纪律观念,否则就会在学习上迷失方向,使国家和学校受损失。
再次请老师原谅!
'''
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from time import sleep from PIL import ImageGrab
m = int(input("请输入想抓屏几分钟:")) m = m * 60 n = 1 while n < m: sleep(0.02) im = ImageGrab.grab() local = (r"%s.jpg" % (n)) im.save(local, 'jpeg') n = n + 1 |
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from PIL import Image
im = Image.open("1.jpg") images = [] images.append(Image.open('2.jpg')) images.append(Image.open('3.jpg')) im.save('gif.gif', save_all=True, append_images=images, loop=1, duration=1, comment=b"aaab |