How to Add Matplotlib in TKinter Window

In this lesson i want to show you How to Add Matplotlib in TKinter GUI Window, first let’s talk about matplotlib and tkinter.

What is TKinter ?

Tkinter is standard GUI (Graphical User Interface) library for Python. It provides differen tools for creating graphical user interfaces that are useful across multiple platforms, including Windows, macOS and Linux. Tkinter provides simple and easy way to create windows, dialogs, buttons, labels and other GUI elements using Python. with Tkinter you can create different applications from simple desktop applications to more complex ones such as data visualization tools, games and multimedia players. Tkinter is included with most Python installations and is easy to learn and use, making it a popular choice for many Python developers.

What is Matplotlib ?

Matplotlib is plotting library for Python programming language. It provides different types of visualizations including line charts, bar charts, scatter plots and many more. Matplotlib is highly customizable and it allows you to control every aspect of the appearance of your charts and plots. also it can be used in different contexts, including in Jupyter notebooks, in scripts or in GUI applications such as Tkinter.

Matplotlib is often used to visualize data in scientific, financial and engineering applications, but it can be used for different other purposes as well. with its rich set of features and its ability to produce high-quality output, Matplotlib is powerful tool for data visualization and exploration.

How to Install Matplotlib ?

You can install Matplotlib using Python package manager pip. this is how to install it:

Open a terminal or command prompt window.
Run the following command: pip install matplotlib

This will download and install the latest version of Matplotlib and all its dependencies. Once the installation is complete, you can start using Matplotlib in your Python scripts and projects.

How to Add Matplotlib in TKinter GUI Window

For adding charts graphs and images to Tkinter applications, you can use different external libraries and tools. These are some popular options:

Matplotlib: Matplotlib is plotting library for Python that provides different types visualizations, including line charts, bar charts, scatter plots and many more. you can easily embed Matplotlib charts in Tkinter applications using the matplotlib.backends.backend_tkagg backend.
Pygal: Pygal is Python library for creating vector graphics including bar charts, line charts and many more. It provides simple and clean API that is easy to use and produces high quality output.

Pillow: Pillow is Python Imaging Library that provides support for different image formats, including PNG, JPEG and GIF. You can use Pillow to load, manipulate and display images in Tkinter applications.

This is an example of how to use Matplotlib to create a bar chart in a Tkinter application:

import tkinter as tk
import matplotlib.backends.backend_tkagg
import matplotlib.pyplot as plt

def show_chart():
    fig, ax = plt.subplots()
    ax.bar([1, 2, 3], [10, 20, 30])
    ax.set_xlabel("X Axis")
    ax.set_ylabel("Y Axis")
    ax.set_title("Bar Chart")
    canvas = matplotlib.backends.backend_tkagg.FigureCanvasTkAgg(fig, master=root)
    canvas.draw()
    canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1)

root = tk.Tk()
root.title("Main Window")
root.geometry("200x100")

button = tk.Button(root, text="Show Chart", command=show_chart)
button.pack()

root.mainloop()

import tkinter as tk

import matplotlib.backends.backend_tkagg

import matplotlib.pyplot as plt

def show_chart():

fig, ax = plt.subplots()

ax.bar([1, 2, 3], [10, 20, 30])

ax.set_xlabel("X Axis")

ax.set_ylabel("Y Axis")

ax.set_title("Bar Chart")

canvas = matplotlib.backends.backend_tkagg.FigureCanvasTkAgg(fig, master=root)

canvas.draw()

canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1)

root = tk.Tk()

root.title("Main Window")

root.geometry("200x100")

button = tk.Button(root, text="Show Chart", command=show_chart)

button.pack()

root.mainloop()

Run the complete code and this will be the result.

How to Build Charts with Python TKinter

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