7个实用的Python自动化代码，别再重复造轮子了！

from selenium import webdriverimport timeimport urllib.request
driver = webdriver.Chrome()driver.maximize_window()driver.get("https://www.zhihu.com/question/29134042")i = 0while 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:        breakresult_raw = driver.page_sourcecontent_list = re.findall("img src=\"(.+?)\" ", str(result_raw))n = 0while 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

from time import sleepimport requestss = 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.requestimport 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])

import jiebafrom 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 = result1dufu = 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 = 0df = 0for 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))

import random
temp = [i + 1 for i in range(35)]random.shuffle(temp)i = 0list = []while i < 7:    list.append(temp[i])    i = i + 1list.sort()print('\033[0;31;;1m')print(*list[0:6], end="")print('\033[0;34;;1m', end=" ")print(list[-1])

import randomimport 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！'''

from time import sleepfrom PIL import ImageGrab
m = int(input("请输入想抓屏几分钟："))m = m * 60n = 1while n < m:    sleep(0.02)    im = ImageGrab.grab()    local = (r"%s.jpg" % (n))    im.save(local, 'jpeg')    n = n + 1

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"aaabb")