Python Matplotlib library is helpful in many applications for visualizing the given data and information in terms of graphs and plots. It is possible to run matplotlib in a Tkinter application. Generally, importing any Python library explicitly in an application gives access to all its functions and modules in the library.
To create a GUI application that uses matplotlib and its functions, we have to import the library using the command from matplotlib.pyplot as plt. However, we also use Tkagg in the backend that uses the Tkinter user interface interactively.
In this example, we have imported Tkagg and matplotlib to visualize the given data points by plotting them inside a canvas widget.
# Import required libraries from tkinter import * from tkinter import ttk import matplotlib from matplotlib.figure import Figure from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg # Create an instance of tkinter frame win= Tk() # Set the window size win.geometry("700x350") # Use TkAgg matplotlib.use("TkAgg") # Create a figure of specific size figure = Figure(figsize=(3, 3), dpi=100) # Define the points for plotting the figure plot = figure.add_subplot(1, 1, 1) plot.plot(0.5, 0.3, color="blue", marker="o", linestyle="") # Define Data points for x and y axis x = [0.2,0.5,0.8,1.0 ] y = [ 1.0, 1.2, 1.3,1.4] plot.plot(x, y, color="red", marker="x", linestyle="") # Add a canvas widget to associate the figure with canvas canvas = FigureCanvasTkAgg(figure, win) canvas.get_tk_widget().grid(row=0, column=0) win.mainloop()
When we run the above code, a plot will appear in the window with some data points on the X and Y axis.