7個(gè)實(shí)用的Python自動(dòng)化代碼，別再重復(fù)造輪子了！

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("編號(hào)：" + str(i))    n = n + 1

from time import sleepimport requestss = input("請主人輸入話題：")while True:    resp = requests.post("http://www.tuling123.com/openapi/api",data={"key":"4fede3c4384846b9a7d0456a5e1e2943", "info": s, })    resp = resp.json()    sleep(1)    print('小魚：', 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'])#網(wǎng)上還有一個(gè)據(jù)說智商比較高的小i機(jī)器人，用爬蟲的功能來實(shí)現(xiàn)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
# 需要提前把李白的詩收集一下，放在libai.txt文本中。text1 = open(r"libai.txt", "rb").read()list1 = jieba.cut(text1)result1 = " ".join(list1)# 需要提前把杜甫的詩收集一下，放在dufu.txt文本中。text2 = open(r"dufu.txt", "rb").read()list2 = jieba.cut(text2)result2 = " ".join(list2)
# 數(shù)據(jù)準(zhǔn)備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# 訓(xùn)練決策classifier = NaiveBayesClassifier.train(train_set)
# 分析測試sentence = input("請輸入一句你喜歡的詩：")print("\n")seg_list = jieba.cut(sentence)result1 = " ".join(seg_list)words = result1.split(" ")
# 統(tǒng)計(jì)結(jié)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
# 呈現(xiàn)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("請輸入具體事件：")y = int(input("老師要求的字?jǐn)?shù)："))while len(str(i)) < y * 1.2:    s = random.randint(1, 60)    rows = sheet.row_values(s)    i.append(*rows)print(" "*8+"檢討書"+"\n"+"老師：")print("我不應(yīng)該" + str(x)+"，", *i)print("再次請老師原諒！")'''以下是樣稿：
請輸入具體事件：抽煙老師要求的字?jǐn)?shù)：200        檢討書老師：我不應(yīng)該抽煙， 學(xué)校一開學(xué)就三令五申，一再強(qiáng)調(diào)校規(guī)校紀(jì)，提醒學(xué)生不要違反校規(guī)，可我卻沒有把學(xué)校和老師的話放在心上，沒有重視老師說的話，沒有重視學(xué)校頒布的重要事項(xiàng)，當(dāng)成了耳旁風(fēng)，這些都是不應(yīng)該的。同時(shí)也真誠地希望老師能繼續(xù)關(guān)心和支持我，并卻對我的問題酌情處理。無論在學(xué)習(xí)還是在別的方面我都會(huì)用校規(guī)來嚴(yán)格要求自己，我會(huì)把握這次機(jī)會(huì)。但事實(shí)證明，僅僅是熱情投入、刻苦努力、鉆研學(xué)業(yè)是不夠的，還要有清醒的政治頭腦、大局意識(shí)和紀(jì)律觀念，否則就會(huì)在學(xué)習(xí)上迷失方向，使國家和學(xué)校受損失。再次請老師原諒！'''

from time import sleepfrom PIL import ImageGrab
m = int(input("請輸入想抓屏幾分鐘："))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")