python實戰專案

斐秋發表於2021-08-23

1.爬取知乎圖片

import re
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("編號:" + str(i))
    n = n + 1

2.沒事的時候聽兩個機器人聊天

from time import sleep
import requests
s = 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'])
#網上還有一個據說智商比較高的小i機器人,用爬蟲的功能來實現一下:

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])

3.分析唐詩的作者是李白還是杜甫

import jieba
from nltk.classify import NaiveBayesClassifier

# 需要提前把李白的詩收集一下,放在libai.txt文字中。
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文字中。
text2 = open(r"dufu.txt", "rb").read()
list2 = jieba.cut(text2)
result2 = " ".join(list2)

# 資料準備
libai = result1
dufu = result2


# 特徵提取
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(" ")

# 統計結果


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

# 呈現比例
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))

4.彩票隨機生成35選7

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])

5.自動寫檢討書

import random
import 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("老師要求的字數:"))
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:抽菸
老師要求的字數:200
        檢討書
老師:
我不應該抽菸, 學校一開學就三令五申,一再強調校規校紀,提醒學生不要違反校規,可我卻沒有把學校和老師的話放在心上,沒有重視老師說的話,沒有重視學校頒佈的重要事項,當成了耳旁風,這些都是不應該的。同時也真誠地希望老師能繼續關心和支援我,並卻對我的問題酌情處理。 無論在學習還是在別的方面我都會用校規來嚴格要求自己,我會把握這次機會。 但事實證明,僅僅是熱情投入、刻苦努力、鑽研學業是不夠的,還要有清醒的政治頭腦、大局意識和紀律觀念,否則就會在學習上迷失方向,使國家和學校受損失。
再次請老師原諒!
'''

6.螢幕錄影機,抓屏軟體

from time import sleep
from PIL import ImageGrab

m = int(input("請輸入想抓屏幾分鐘:"))
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

7.製作Gif動圖

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")

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