Python实用脚本【二】

书接上文，再奉上几个小工具，方便实用！！！

1. 图片添加水印

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

def watermark(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 = '原图片.png'
watermark(img, '目标图片.jpg','Python都知道', pos=(10, 10))
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2. 图片转素描

# 图像转换
import cv2

# 读取图片
img = cv2.imread("输入.jpg")
# 灰度
grey = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
invert = cv2.bitwise_not(grey)
# 高斯滤波
blur_img = cv2.GaussianBlur(invert, (7, 7), 0)
inverse_blur = cv2.bitwise_not(blur_img)
sketch_img = cv2.divide(grey, inverse_blur, scale=256.0)
# 保存
cv2.imwrite('输出.jpg', sketch_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
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3. 图片转PDF

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")]))
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4. 提取PDF表格

# 方法一
import camelot

tables = camelot.read_pdf("tables.pdf")
print(tables)
tables.export("extracted.csv", f="csv", compress=True)

# 方法二, 需要安装Java8
import tabula

tabula.read_pdf("tables.pdf", pages="all")
tabula.convert_into("table.pdf", "output.csv", output_format="csv", pages="all")
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5. 拼写检查

# 拼写检查
# 方法一
import textblob

text = "mussage"
print("original text: " + str(text))

checked = textblob.TextBlob(text)
print("corrected text: " + str(checked.correct()))

# 方法二
import autocorrect
spell = autocorrect.Speller(lang='en')

# 以英语为例
print(spell('cmputr'))
print(spell('watr'))
print(spell('survice'))
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6. 查看cpu温度

# 获取CPU温度
from time import sleep
from pyspectator.processor import Cpu
cpu = Cpu(monitoring_latency=1)
with cpu:
    while True:
        print(f'Temp: {cpu.temperature} °C')
        sleep(2)
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7. 裁剪图片

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)
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8. 合并表格

import pandas as pd

# 文件名
filename = "test.xlsx"
# 表格数量
T_sheets = 5

df = []
for i in range(1, T_sheets+1):
    sheet_data = pd.read_excel(filename, sheet_name=i, header=None)
    df.append(sheet_data)

# 合并表格
output = "merged.xlsx"
df = pd.concat(df)
df.to_excel(output)
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