电表及销售统计Python应用及win程序

news2024/9/25 21:29:54

暑假每天都要填表算账很烦躁，就整了个小程序来减轻压力

程序可以做到记录输入的每一条数据，并用新数据减去旧数据算新增的量，同时记录填写时间

Python代码

import json
import os  # 导入os模块
from datetime import datetime
from tkinter import *
from tkinter import messagebox
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
# 初始化数据文件（如果文件不存在，则创建空字典）
def init_data_file(filename):
    if not os.path.exists(filename):
        with open(filename, 'w') as file:
            json.dump({}, file)

        # 读取数据


def read_data(filename):
    with open(filename, 'r') as file:
        return json.load(file)

    # 更新数据


def update_data(filename, data_name, new_value):
    data = read_data(filename)
    current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")

    if data_name not in data:
        data[data_name] = [
            {"time": current_time, "value": new_value, "difference": 0}
        ]
    else:
        last_record = data[data_name][-1]
        last_value = last_record["value"]
        difference = new_value - last_value
        data[data_name].append({
            "time": current_time,
            "value": new_value,
            "difference": difference
        })

    with open(filename, 'w') as file:
        json.dump(data, file, indent=4)

    # 主程序




# GUI主窗口
class DataApp:
    def __init__(self, master):
        self.master = master
        self.master.title("数据记录器")
        self.filename = 'data_records.json'
        self.init_data_file()

        # 创建输入框和按钮
        Label(master, text="数据名称:").grid(row=0)
        self.data_name_entry = Entry(master)
        self.data_name_entry.grid(row=0, column=1)

        Label(master, text="数据值:").grid(row=1)
        self.data_value_entry = Entry(master)
        self.data_value_entry.grid(row=1, column=1)

        self.update_button = Button(master, text="更新数据", command=self.update_data_gui)
        self.update_button.grid(row=2, column=1)
        self.analyze_button = Button(master, text="分析数据", command=self.analyze_data)
        self.analyze_button.grid(row=3, column=1)
        self.clear_button = Button(master, text="清空数据库", command=self.clear_data)
        self.clear_button.grid(row=6, column=1)

        self.quit_button = Button(master, text="退出", command=master.quit)
        self.quit_button.grid(row=4, column=1)

        # 图表区域
        self.figure = Figure(figsize=(6, 4), dpi=100)
        self.ax = self.figure.add_subplot(111)
        self.canvas = FigureCanvasTkAgg(self.figure, master=master)
        self.canvas.get_tk_widget().grid(row=0, column=2, rowspan=5)
        self.quit_button = Button(master, text="图表退出", command=master.quit)
        self.quit_button.grid(row=5, column=1)

    # 数据清空功能
    def clear_data(self):
        confirm = messagebox.askyesno("警告", "您确定要清空所有数据吗？此操作不可逆！")
        if confirm:
            with open(self.filename, 'w') as file:
                json.dump({}, file)
            messagebox.showinfo("成功", "数据已清空。")
        else:
            messagebox.showinfo("取消", "数据清空操作已取消。")
    # 初始化数据文件
    def init_data_file(self):
        if not os.path.exists(self.filename):
            with open(self.filename, 'w') as file:
                json.dump({}, file)

    # GUI版本的更新数据函数
    def update_data_gui(self):
        data_name = self.data_name_entry.get()
        try:
            new_value = float(self.data_value_entry.get())
            update_data(self.filename, data_name, new_value)
            messagebox.showinfo("成功", f"数据 {data_name} 已更新，并记录了差值和时间。")
        except ValueError:
            messagebox.showerror("错误", "请输入有效的数字！")
# 数据分析图表函数
    def analyze_data(self):
        data_name = self.data_name_entry.get()
        data = read_data(self.filename)

        if data_name in data:
            times = [record["time"] for record in data[data_name]]
            values = [record["value"] for record in data[data_name]]
            differences = [record["difference"] for record in data[data_name]]

            self.ax.clear()
            self.ax.plot(times, values, label='Values', marker='o')  # 添加marker样式以便更清晰地看到点
            self.ax.plot(times, differences, label='Differences', marker='x')

            # 在每个点旁边添加数值标签
            for i, txt in enumerate(values):
                self.ax.text(times[i], values[i], f'{txt:.2f}', ha='center', va='bottom')

            for i, txt in enumerate(differences):
                self.ax.text(times[i], differences[i], f'{txt:.2f}', ha='center', va='top')

            self.ax.legend()
            self.ax.set_title(f"{data_name} Analysis")
            self.canvas.draw()
        else:
            messagebox.showerror("错误", f"数据名称 {data_name} 未找到！")

if __name__ == "__main__":
    root = Tk()
    app = DataApp(root)
    root.mainloop()

Python运行结果