I have a program that processes data then plots the result. Usually in Python plots are shown in a new window, but I want to show the plot in the same Tkinter window. I've searched and found these two answers, Python Tkinter Embed Matplotlib in GUI, and How do I refresh a matplotlib plot in a Tkinter window?. They state that we should first make a canvas then place it on the window using grid or pack. This is the first time I use canvas, I've applied the concept, and here is a working sample code for that,
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
__author__ = 'Dania'
import numpy as np
from Tkinter import *
import matplotlib.pyplot as plt
class mclass:
def __init__(self, window):
self.box = Entry(window)
self.button = Button (window, text="check", command=self.plot)
self.box.pack ()
self.button.pack()
def plot (self):
x=np.array ([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
v= np.array ([16,16.31925,17.6394,16.003,17.2861,17.3131,19.1259,18.9694,22.0003,22.81226])
p= np.array ([16.23697, 17.31653, 17.22094, 17.68631, 17.73641 , 18.6368,
19.32125, 19.31756 , 21.20247 , 22.41444 , 22.11718 , 22.12453])
plt.scatter(v,x,color='red')
plt.plot(p, range(2 +max(x)),color='blue')
plt.gca().invert_yaxis()
plt.suptitle ("Estimation Grid", fontsize=16)
plt.ylabel("Y", fontsize=14)
plt.xlabel("X", fontsize=14)
plt.show()
plt.gcf().canvas.draw()
fig = plt.figure()
canvas = FigureCanvasTkAgg(fig, master=window)
canvas.get_tk_widget().grid(row=1,column=24)
canvas.draw()
window= Tk()
start= mclass (window)
window.mainloop()
The code above first shows the plot in a separated window, then shows a gray canvas without a plot in the position specified in grid. Also, the canvas expands vertically and a part of the window disappears, in other words the canvas pushes the contents bellow it down, and they don't appear anymore as no vertical scrolling bar appear.
I want to show the plot in the same Tkinter window, and if any content is pushed down I want to be able to scroll the window.
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