One of the well-known use-cases of Python is in Machine Learning and Data Science. In order to visualize and plot a dataset, we use the Matplotlib library. To plot a matplotlib graph in a Tkinter application, we have to import the library by initializing "from matplotlib.pyplot as plt". The plot can be drawn either by defining a range value or importing the dataset in the notebook.
#Import the required Libraries from tkinter import * from tkinter import ttk import numpy as np import matplotlib.pyplot as plt #Create an instance of Tkinter frame win= Tk() #Set the geometry of the window win.geometry("700x250") def graph(): car_prices= np.random.normal(50000,4000,2000) plt.figure(figsize=(7,3)) plt.hist(car_prices, 25) plt.show() #Create a Button to plot the graph button= ttk.Button(win, text= "Graph", command= graph) button.pack() win.mainloop()
Running the above code will display a window that contains a button.
When we click the "Graph" button, it will display a graph on the main window.