How To Plot An Automatic Graph Using Mouse Without Clicking Matplotlib
Solution 1:
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:
- Clear the axis:
ax2.clear()
(whereax2
is theAxesSubplot
object offig2
) - Plot the slice
ax2.plot(self.xAxes, self.Data[int(event.xdata)])
- 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
classGraphs(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)
defmouse_move(self, event):
x = event.xdata
iflen(self.Data) and x isnotNone: # 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()
defreadDZT(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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