用python生成一个GUi，具备以下功能： 1.界面内包含数据文件读取、表格中显示读取的数据以及绘图区域； 2.选择数据文件后，在表格中显示对应的数据，支持表格中数据的编辑和报存。 3.通过点击按钮可新增绘图子页面。 3.绘图区域分两部分，左侧为绘制的图片名称，右侧为绘制的图片。可通过点击某按钮增加新的绘图。

以下是一个可能的实现，使用了tkinter和matplotlib库：

import tkinter as tk
import pandas as pd
from matplotlib.figure import Figure
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg

class App:
    def __init__(self, master):
        self.master = master
        master.title("Data Viewer")

        # widgets for data file selection and display
        self.file_label = tk.Label(master, text="Select data file:")
        self.file_label.pack()
        self.file_entry = tk.Entry(master)
        self.file_entry.pack()
        self.load_button = tk.Button(master, text="Load", command=self.load_data)
        self.load_button.pack()
        self.save_button = tk.Button(master, text="Save", command=self.save_data, state=tk.DISABLED)
        self.save_button.pack()
        self.table = tk.Frame(master)
        self.table.pack()

        # widgets for plotting
        self.plot_label = tk.Label(master, text="Plots:")
        self.plot_label.pack()
        self.plot_buttons = tk.Frame(master)
        self.plot_buttons.pack()
        self.plot_area = tk.Frame(master)
        self.plot_area.pack()

        # initialize data and plots
        self.data = None
        self.plots = []

    def load_data(self):
        # read data from file and display in table
        filename = self.file_entry.get()
        self.data = pd.read_csv(filename)
        self.save_button.config(state=tk.NORMAL)
        for widget in self.table.winfo_children():
            widget.destroy()
        for i, col in enumerate(self.data.columns):
            tk.Label(self.table, text=col).grid(row=0, column=i)
        for i, row in self.data.iterrows():
            for j, val in enumerate(row):
                entry = tk.Entry(self.table)
                entry.grid(row=i+1, column=j)
                entry.insert(0, str(val))

    def save_data(self):
        # save edited data to file
        for i, row in self.data.iterrows():
            for j, col in enumerate(self.data.columns):
                val = self.table.grid_slaves(row=i+1, column=j)[0].get()
                self.data.at[i, col] = val
        self.data.to_csv(self.file_entry.get(), index=False)

    def add_plot(self):
        # create new plot and add to list of plots
        fig = Figure(figsize=(5, 4), dpi=100)
        ax = fig.add_subplot(111)
        canvas = FigureCanvasTkAgg(fig, master=self.plot_area)
        canvas.get_tk_widget().pack(side=tk.RIGHT)
        self.plots.append((canvas, ax))

        # create button to switch to new plot
        button = tk.Button(self.plot_buttons, text=f"Plot {len(self.plots)}", command=lambda: self.switch_plot(len(self.plots)))
        button.pack(side=tk.LEFT)

    def switch_plot(self, index):
        # switch to selected plot
        for i, (canvas, ax) in enumerate(self.plots):
            if i == index-1:
                canvas.get_tk_widget().pack(side=tk.RIGHT)
                ax.set_title(f"Plot {index}")
            else:
                canvas.get_tk_widget().pack_forget()

# create and run application
root = tk.Tk()
app = App(root)
app.add_plot()  # add initial plot
root.mainloop()