如何在不单击 MATPLOTLIB 的情况下使用鼠标绘制自动图形 [英] How to plot an automatic graph using mouse without clicking MATPLOTLIB

问题描述

我希望使用鼠标自动绘制数据，而无需单击来自 DZT 文件".我创建了一个程序来绘制数据，如下图所示:

正如你在这张图片中看到的，x 轴从 0 到 3525 ans，每个 x 是一个信号，所以我有超过 3500 个信号来制作这张图.

例如，如果我想看到 x=999 的信号，它看起来像这样.

我真正想做的是每次当我通过鼠标而不点击图形时，它应该自动绘制它的信号.

我尝试了很多方法，但我不知道该怎么做.

感谢您的帮助

这是我的文件:

I'm looking to plot Data automatically using mouse without clicking From a DZT file. i Created a program in order to plot data as you can see in this graph:

As you can see in this picture, x axes going from 0 to 3525 ans every x is a signal so i have more than 3500 signals making this graph.

for exemple if i want to see the signal of x=999, it looks like this.

what i want really to do is every time when i pass my mouse without clicking on the graph it should plot it's signal automatically .

i try to use a lot of methods but rally i dont know how to do it.

i'll be grateful for your help

this is my file: https://www.grosfichiers.com/mvabGETFfna

This is my program:

from tkinter import *
from tkinter import messagebox, filedialog
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import os
from readgssi import readgssi

root = Tk()
root.title("IHM")
root.geometry("1000x800")

Resources_frame = LabelFrame(root, bd=2, relief=GROOVE, text="Conversion Area")
Resources_frame.place(x=5, y=5, width=250, height=80)

lbl_ra = Label(Resources_frame, text="Select your File ")
lbl_ra.grid(row=0, column=0, sticky=W)
lbl_ra = Label(Resources_frame, text="Convert Selected file ")
lbl_ra.grid(row=1, column=0, sticky=W)
NumberOfSimples = ''
DataAScan = ''
Data = ''
xData = ''
xAxes = ''


def ReadDZT():
    file_path = filedialog.askopenfilename()
    file_name, file_extension = os.path.splitext(file_path)

    print(file_extension)
    if file_extension == '.DZT':
        messagebox.showinfo("INFO", "Your DZT File Has Been Selected Successfully")
        hdr, arrs, gps = readgssi.readgssi(infile=file_path, verbose=True)

        TimeRange = hdr['rhf_range']
        Samples = hdr['rh_nsamp']

        X_Axes = np.array(range(0, Samples))
        xAxes = X_Axes[2::1]

        df = pd.DataFrame(arrs[0])
        Data = df.iloc[2::1, 0::1]
        fig2 = plt.figure()
        plt.plot(xAxes, Data[999])
        plt.show()

        fig = plt.figure()
        plt.imshow(Data, aspect='auto', cmap='bone')
        plt.show()

    elif file_extension == '.csv':
        messagebox.showinfo("INFO", "Your CSV File Has Been Selected Successfully")
        df = pd.read_csv(file_path)
        NumberOfSimples = df.iloc[2::1, 0]
        Data = df.iloc[::1, ::1]
        DataAScan = df.iloc[2::1, 999]
        fig1 = plt.figure()
        plt.plot(NumberOfSimples, DataAScan)
        plt.show()
        fig2 = plt.figure()
        plt.imshow(Data, aspect='auto', cmap='bone')
        plt.show()
    else:
        messagebox.showwarning("WARNING", "You Have Been Selected a Different Format")


# =============Resources Buttons================#
btn_rs = Button(Resources_frame, relief=GROOVE, padx=8, pady=1, text="Browse", command=ReadDZT).grid(row=0,
                                                                                                     column=1)

root.mainloop()

解决方案

As indicated in the previous question Ploting a graph automatically using mouse coordinate (and I think this question should have been an edit of it), the mouse motion can be monitored with plt.connect('motion_notify_event', mouse_move). The slice of Data to be plotted in fig2 simply corresponds to the x-coordinate of the mouse, that is Data[int(event.xdata)] in mouse_move(event).

Therefore, in mouse_move(event), you:

1. Clear the axis: ax2.clear() (where ax2 is the AxesSubplot object of fig2)
2. Plot the slice ax2.plot(self.xAxes, self.Data[int(event.xdata)])
3. Update the figure fig2.canvas.draw_idle()

However, I had issues with using simultaneously the matplotlib figures and the tkinter GUI because of the separate event loops. Therefore I embedded the figures in the tkinter GUI directly (see e.g. https://matplotlib.org/3.4.0/gallery/user_interfaces/embedding_in_tk_sgskip.html).

I also put the graph related code in a class to keep the loaded data in attributes to avoid using global variables.

import tkinter as tk
from tkinter import messagebox, filedialog
import pandas as pd
import matplotlib
matplotlib.use("TkAgg")
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
from matplotlib.figure import Figure
import numpy as np
import os
from readgssi import readgssi


class Graphs(tk.Toplevel):
    def __init__(self, master=None, **kw):
        tk.Toplevel.__init__(self, master, **kw)
        self.rowconfigure(0, weight=1)
        self.rowconfigure(2, weight=1)
        # data
        self.Data = []
        self.xData = []
        self.xAxes = []
        self.line = None

        # figure1 : 2D data map
        self.fig1 = Figure()
        self.ax1 = self.fig1.add_subplot(111)
        self.canvas1 = FigureCanvasTkAgg(self.fig1, self)
        self.canvas1.draw()
        self.canvas1.get_tk_widget().grid(sticky='ewsn')
        self.toolbar1 = NavigationToolbar2Tk(self.canvas1, self, pack_toolbar=False)
        self.toolbar1.grid(sticky="ew")

        # figure 2: slice plot
        self.fig2 = Figure()
        self.ax2 = self.fig2.add_subplot(111)
        self.canvas2 = FigureCanvasTkAgg(self.fig2, self)
        self.canvas2.draw()
        self.canvas2.get_tk_widget().grid(sticky='ewsn')
        self.toolbar2 = NavigationToolbar2Tk(self.canvas2, self, pack_toolbar=False)
        self.toolbar2.grid(sticky="ew")

        # bind plotting to mouse motion
        self.canvas1.mpl_connect('motion_notify_event', self.mouse_move)

    def mouse_move(self, event):
        x = event.xdata
        if len(self.Data) and x is not None:  # there is something to plot
            self.ax2.clear()
            x = int(x)
            self.ax2.plot(self.xAxes, self.Data[x])
            self.line.set_data([x, x], [len(self.Data), 0])
            self.canvas1.draw_idle()
            self.canvas2.draw_idle()

    def readDZT(self):
        file_path = filedialog.askopenfilename()
        file_name, file_extension = os.path.splitext(file_path)

        if file_extension == '.DZT':
            messagebox.showinfo("INFO", "Your DZT File Has Been Selected Successfully")
            hdr, arrs, gps = readgssi.readgssi(infile=file_path, verbose=True)

            Samples = hdr['rh_nsamp']

            X_Axes = np.array(range(0, Samples))
            self.xAxes = X_Axes[2::1]
            df = pd.DataFrame(arrs[0])
            self.Data = df.iloc[2::1, 0::1]

            # clear plots
            self.ax1.clear()
            self.ax2.clear()
            # plot slice
            self.ax2.plot(self.xAxes, self.Data[999])
            self.canvas2.draw_idle()
            # plot 2D map
            self.ax1.imshow(self.Data, aspect='auto', cmap='bone')
            self.line = self.ax1.plot([999, 999], [len(self.Data), 0], 'r')[0]
            self.ax1.set_ylim(len(self.Data), 0)
            self.canvas1.draw_idle()

        else:
            messagebox.showwarning("WARNING", "You Have Been Selected a Different Format")



root = tk.Tk()
root.title("IHM")
root.geometry("1000x800")

Resources_frame = tk.LabelFrame(root, bd=2, relief=tk.GROOVE, text="Conversion Area")
Resources_frame.place(x=5, y=5, width=250, height=80)

tk.Label(Resources_frame, text="Select your File ").grid(row=0, column=0, sticky=tk.W)
tk.Label(Resources_frame, text="Convert Selected file ").grid(row=1, column=0, sticky=tk.W)

graphs = Graphs(root)


btn_rs = tk.Button(Resources_frame, relief=tk.GROOVE, padx=8, pady=1, text="Browse",
                   command=graphs.readDZT).grid(row=0, column=1)

root.mainloop()

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