好用的python自动化脚本

1、图片处理工具

该脚本使用流行的是 Pillow 模块来处理图片，安装Pillow

pip install Pillow

import PIL
# 裁剪
im = PIL.Image.open("Image1.jpg")
im = im.crop((34, 23, 100, 100))
# 调整大小缩放
im = PIL.Image.open("Image1.jpg")
im = im.resize((50, 50))
# 改变位置
im = PIL.Image.open("Image1.jpg")
im = im.transpose(PIL.Image.FLIP_LEFT_RIGHT)
# 旋转
im = PIL.Image.open("Image1.jpg")
im = im.rotate(360)
# Compressing
im = PIL.Image.open("Image1.jpg")
im.save("Image1.jpg", optimize=True, quality=90)
# Bluring
im = PIL.Image.open("Image1.jpg")
im = im.filter(PIL.ImageFilter.BLUR)
# Sharpening
im = PIL.Image.open("Image1.jpg")
im = im.filter(PIL.ImageFilter.SHARPEN)
# Set Brightness
im = PIL.Image.open("Image1.jpg")
im = PIL.ImageEnhance.Brightness(im)
im = im.enhance(1.5)
# Set Contrast
im = PIL.Image.open("Image1.jpg")
im = PIL.ImageEnhance.Contrast(im)
im = im.enhance(1.5)
# Adding Filters
im = PIL.Image.open("Image1.jpg")
im = PIL.ImageOps.grayscale(im)
im = PIL.ImageOps.invert(im)
im = PIL.ImageOps.posterize(im, 4)
# Saving
im.save("Image1.jpg")

2、视频处理

使用Moviepy 模块来处理视频，可以修剪、添加音频、设置视频速度、添加 VFX 等等

pip install moviepy

import moviepy.editor as pyedit
# Load the Video
video = pyedit.VideoFileClip("vid.mp4")
# Trimming
vid1 = video.subclip(0, 10)
vid2 = video.subclip(20, 40)
final_vid = pyedit.concatenate_videoclips([vid1, vid2])
# Speed up the video
final_vid = final_vid.speedx(2)
# Adding Audio to the video
aud = pyedit.AudioFileClip("bg.mp3")
final_vid = final_vid.set_audio(aud)
# Reverse the Video
final_vid = final_vid.fx(pyedit.vfx.time_mirror)
# Merge two videos
vid1 = pyedit.VideoFileClip("vid1.mp4")
vid2 = pyedit.VideoFileClip("vid2.mp4")
final_vid = pyedit.concatenate_videoclips([vid1, vid2])
# Add VFX to Video
vid1 = final_vid.fx(pyedit.vfx.mirror_x)
vid2 = final_vid.fx(pyedit.vfx.invert_colors)
final_vid = pyedit.concatenate_videoclips([vid1, vid2])
# Add Images to Video
img1 = pyedit.ImageClip("img1.jpg")
img2 = pyedit.ImageClip("img2.jpg")
final_vid = pyedit.concatenate_videoclips([img1, img2])
# Save the video
final_vid.write_videofile("final.mp4")

3、PDF 转换图片

使用的是PyMuPDF 模块，安装PyMuPDF

pip install PyMuPDF

import fitz
def pdf_to_images(pdf_file):
    doc = fitz.open(pdf_file)
    for p in doc:
        pix = p.get_pixmap()
        output = f"page{p.number}.png"
        pix.writePNG(output)
pdf_to_images("test.pdf")

4、获取 API 数据

需要从数据库中获取 API 数据或需要向服务器发送 API 请求。那么这个自动化脚本对你来说是一个方便的工具。使用 Urllib3 模块，可让你获取和发布 API 请求 ，类似requests

pip install urllib3

import urllib3
# Fetch API data
url = "https://api.github.com/users/psf/repos"
http = urllib3.PoolManager()
response = http.request('GET', url)
print(response.status)
print(response.data)
# Post API data
url = "https://httpbin.org/post"
http = urllib3.PoolManager()
response = http.request('POST', url, fields={'hello': 'world'})
print(response.status)

下面这个是通过requests请求来获取资讯

pip install requests

import requests
ApiKey = "YOUR_API_KEY"
url = "https://api.worldnewsapi.com/search-news?text=hurricane&api-key={ApiKey}"
headers = {
  'Accept': 'application/json'
}
response = requests.get(url, headers=headers)
print("News: ", response.json())

5、电池指示灯

这个方便的脚本可以让你设置你想要得到通知的电池百分比，该脚本使用 Pyler 进行通知，使用 Psutil 获取当前的电池百分比。

pip instal plyer

from plyer import notification
import psutil
from time import sleep
while True:
    battery = psutil.sensors_battery()
    life = battery.percent
    if life < 50:
        notification.notify(
            title = "Battery Low",
            message = "Please connect to power source",
            timeout = 10
        )
    sleep(60)