Oftentimes, we need to deal with plots in our Tkinter GUI-based application. To support the plots for the available data points, Python provides a Matplotlib package that can be imported into the application easily. In order to add a plot for the given data points, we have to install several other packages such as NumPy along with Matplotlib. NumPy is a Python library that helps to deal with scientific calculation in the Data.
In this example, we will create data points for the car prices starting from (100000) with the units in the range of 1000 to 5000.
#Import the required Libraries from tkinter import * import numpy as np import matplotlib.pyplot as plt #Create an instance of Tkinter frame win= Tk() #Set the geometry of tkinter frame win.geometry("750x250") def graph(): car_prices=np.random.normal(100000, 5000, 1000) plt.hist(car_prices, 20) plt.show() #Create a button to show the plot Button(win, text= "Show Graph", command= graph).pack(pady=20) win.mainloop()
If we will run the above code, it will display a window that contains a button "Show Graph".
When we click the button, it will display the graph on the screen.