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.
To open an image and place it inside the frame, we will use the Pillow (PIL) library. Set the size of the frame using geometry method. Create a frame and specify its height and width. Place the frame at the center of the window using place() method with anchor='center'.
Luckily, there are alternate methods for creating a table to display data in Tkinter. For example, the Entry widget can be coded to display data in a table, and there are also table packages that can be downloaded from the Python Package Index (PyPI) and installed.
Main changes:
Result:
__author__ = 'Dania'
import matplotlib
matplotlib.use('TkAgg')
import numpy as np
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
from Tkinter import *
class mclass:
def __init__(self, window):
self.window = 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])
fig = Figure(figsize=(6,6))
a = fig.add_subplot(111)
a.scatter(v,x,color='red')
a.plot(p, range(2 +max(x)),color='blue')
a.invert_yaxis()
a.set_title ("Estimation Grid", fontsize=16)
a.set_ylabel("Y", fontsize=14)
a.set_xlabel("X", fontsize=14)
canvas = FigureCanvasTkAgg(fig, master=self.window)
canvas.get_tk_widget().pack()
canvas.draw()
window= Tk()
start= mclass (window)
window.mainloop()
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