十个简单使用的Python自动化脚本分享

from PIL import Image
from PIL import ImageFont
from PIL import ImageDraw

def watermark_Image(img_path,output_path, text, pos):
    img = Image.open(img_path)
    drawing = ImageDraw.Draw(img)
    black = (10, 5, 12)
    drawing.text(pos, text, fill=black)
    img.show()
    img.save(output_path)

img = '2.png'
watermark_Image(img, 'watermarked_2.jpg','Python爱好者集中营', pos=(10, 10))

from difflib import SequenceMatcher

def file_similarity_checker(f1, f2):
    with open(f1, errors="ignore") as file1, open(f2, errors="ignore") as file2:
        f1_data = file1.read()
        f2_data = file2.read()
        checking = SequenceMatcher(None, f1_data, f2_data).ratio()
        print(f"These files are {checking*100} % similar")
        
file_1 = "路径1"
file_2 = "路径2"
file_similarity_checker(file_1, file_2)

from cryptography.fernet import Fernet

def encrypt(filename, key):
    fernet = Fernet(key)
    with open(filename, 'rb') as file:
        original = file.read()
    encrypted = fernet.encrypt(original)
    with open(filename, 'wb') as enc_file:
        enc_file.write(encrypted)
        
key = Fernet.generate_key()
filename = "file.txt"
encrypt(filename, key)

def decrypt(filename, key):
    fernet = Fernet(key)
    with open(filename, 'rb') as enc_file:
        encrypted = enc_file.read()
    decrypted = fernet.decrypt(encrypted)
    with open(filename, 'wb') as dec_file:
        dec_file.write(decrypted)

decrypt(filename, key)

import pyAesCrypt

def Encryption(input_file_path, output_file_path, key):
    pyAesCrypt.encryptFile(input_file_path, output_file_path, key)
    print("File has been decrypted")

def Decryption(input_file_path, output_file_path, key):
    pyAesCrypt.decryptFile(input_file_path, output_file_path, key)
    print("File has been decrypted")

import os
import img2pdf

with open("Output.pdf", "wb") as file:
    file.write(img2pdf.convert([i for i in os.listdir('文件路径') if i.endswith(".jpg")]))

from PIL import Image
import os
def img_resize(file, h, w):
  img = Image.open(file)
    Resize = img.resize((h,w), Image.ANTIALIAS)
    Resize.save('resized.jpg', 'JPEG', quality=90)
    
img_resize("文件路径", 400, 200)

img = Image.open('1.jpg')
blur = img.filter(ImageFilter.BLUR)
blur.save('output.jpg')

img = Image.open('1.jpg')
rotate = img.rotate(90)
rotate.save('output.jpg')

img = Image.open('1.jpg')
sharp = img.filter(ImageFilter.SHARPEN)
sharp.save('output.jpg')

img = Image.open('1.jpg')
transpose = img.transpose(Image.FLIP_LEFT_RIGHT)
transpose.save('output.jpg')

img = Image.open('1.jpg')
convert = img.convert('L')
convert.save('output.jpg')

pip install speedtest-cli

from speedtest import Speedtest

def Testing_Speed(net):
    download = net.download()
    upload = net.upload()
    print(f'下载速度: {download/(1024*1024)} Mbps')
    print(f'上传速度: {upload/(1024*1024)} Mbps')
    print("开始网速的测试 ...")

net = Speedtest()
Testing_Speed(net)

# 导入模块
from currency_converter import CurrencyConverter
from datetime import date
# 案例一
conv = CurrencyConverter()
c = conv.convert(100, 'USD', 'GBP')
print(round(c, 2)) # 保留两位小数

# 案例二
c = conv.convert(100, 'USD', 'EUR', date=date(2022, 3, 30))
print(round(c, 2)) # 44.1

import qrcode
from PIL import Image
from pyzbar.pyzbar import decode

def Generate_qrcode(data):
    qr = qrcode.QRCode(
        version=1,
        error_correction=qrcode.constants.ERROR_CORRECT_L,
        box_size=10,
        border=4,)
    qr.add_data(data)
    qr.make(fit=True)
    image = qr.make_image(fill_color="black", back_color="white")
    image.save("qrcode.png")

Generate_qrcode("Python爱好者集中营 欣一")

def Decode_Qrcode(file_name):
    result = decode(Image.open(file_name))
    print("Data:", result[0][0].decode())

Decode_Qrcode("文件名")

from flask import Flask
app = Flask(__name__)

@app.route("/")
def home():
    return "Hello World!"
    
@app.route("/python")
def test():
    return "欢迎来到Python爱好者集中营，欣一"
    
if __name__ == "__main__":
    app.run(debug=True)