作者:手机用户2502939987 | 来源:互联网 | 2024-11-11 07:14
本文介绍了如何使用Python进行序列图的快速分割与可视化。通过一个实际案例,详细展示了从需求分析到代码实现的全过程。具体包括如何读取序列图数据、应用分割算法以及利用可视化库生成直观的图表,帮助非编程背景的用户也能轻松上手。
一.起因
设计师小姐姐要求快速切分序列图
二.直接上可视化代码
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2020/11/18 12:51
# @Author : ywy
# @Platform:
from tkinter.filedialog import *
import windnd
from tkinter.messagebox import showerror,showinfo
from PIL import Image
def splitimage(src, rownum, colnum):
src =src.strip()
rownum = int(rownum)
colnum = int(colnum)
img = Image.open(src)
w, h = img.size
if rownum <= h and colnum <= w:
print("Original image info: %sx%s, %s, %s" % (w, h, img.format, img.mode))
print("开始处理图片切割, 请稍候...")
s = os.path.split(src)
fn = s[1].split(".")
basename = fn[0]
ext = fn[-1]
dstpath=basename
if not os.path.exists(dstpath):
os.makedirs(dstpath)
num = 0
rowheight = h // rownum
colwidth = w // colnum
for r in range(rownum):
for c in range(colnum):
box = (c * colwidth, r * rowheight, (c + 1) * colwidth, (r + 1) * rowheight)
img.crop(box).save(os.path.join(dstpath, f"{basename}_{num}.{ext}"), ext)
num = num + 1
print("图片切割完毕,共生成 %s 张小图片。" % num)
return f"图片切割完毕,共生成 {num} 张小图片存放在当前程序目录{dstpath}文件夹下"
else:
print("不合法的行列切割参数!")
return "不合法的行列切割参数!"
root_1 = Tk()
rownum = StringVar()
colnum = StringVar()
z = StringVar()
root_1.title("图片切割")
count = Label(root_1, text="切割行数")
count.grid(row=0, column=0)
enter_1 = Entry(root_1, state="normal", textvariable=rownum,bd=2,width=50)
enter_1.grid(row=0, column=1)
count = Label(root_1, text="切割列数")
count.grid(row=1, column=0)
enter_2 = Entry(root_1, state="normal", textvariable=colnum,bd=2,width=50)
enter_2.grid(row=1, column=1)
def dragged_files(files):
src =files[0].decode("gbk")
rownum = enter_1.get()
colnum = enter_2.get()
print(src,rownum,colnum)
if rownum and colnum:
showinfo("提示",splitimage(src,rownum,colnum))
else:
showerror("错误提示","切割行数和切割列数必须有值")
count = Label(root_1, text="拖拽你的图片到窗口")
count.grid(row=2, column=0)
windnd.hook_dropfiles(root_1,func=dragged_files)
root_1.mainloop()