Python GUI Guide: Introduction to Tkinter


Python is generally more popular as a sequential programming language that is called from the command line interface (CLI). However, several frameworks exist that offer the ability to create slick graphical user interfaces (GUI) with Python. Combined with a single board computer, like the Raspberry Pi, this ability to build GUIs opens up new possibilities to create your own dashboard for watching metrics, explore virtual instrumentation (like LabVIEW), or make pretty buttons to control your hardware.



In this tutorial, we’ll go through the basics of Tkinter (pronounced “Tee-Kay-Inter”, as it’s the “TK Interface” framework), which is the default GUI package that comes bundled with Python. Other frameworks exist, such as wxPython, PyQt, and Kivy. While some of these might be more powerful, Tkinter is easy to learn, comes with Python, and shares the same open source license as Python.

Later in the tutorial, we’ll show how to control various pieces of hardware from a Tkinter GUI and then how to pull a Matplotlib graph into an interface. The first part of the tutorial (Tkinter basics) can be accomplished on any computer without special hardware. The parts that require controlling hardware or reading from a sensor will be shown on a Raspberry Pi.

Notice: This tutorial was written with Raspbian version “June 2018” and Python version 3.5.3. Other versions may affect how some of the steps in this guide are performed.

Required Materials

To work through the activities in this tutorial, you will need a few pieces of hardware:

Python GUI GuideSparkFun Wish List
SparkFun Ambient Light Sensor Breakout – APDS-9301
SparkFun Digital Temperature Sensor Breakout – TMP102
Resistor 10K Ohm 1/4 Watt PTH – 20 pack (Thick Leads)
Resistor 10K Ohm 1/4 Watt PTH – 20 pack (Thick Leads)

Optional Materials

You have several options when it comes to working with the Raspberry Pi. Most commonly, the Pi is used as a standalone computer, which requires a monitor, keyboard, and mouse (listed below). To save on costs, the Pi can also be used as a headless computer (without a monitor, keyboard, and mouse).

Note that for this tutorial, you will need access to the Raspbian (or other Linux) graphical interface (known as the desktop). As a result, the two recommended ways to interact with your Pi is through a monitor, keyboard, and mouse or by using Virtual Network Computing (VNC).

Prepare the Software

Before diving in to Tkinter and connecting hardware, you’ll need to install and configure a few pieces of software. You can work through the first example with just Python, but you’ll need a Raspberry Pi for the other sections that involve connecting hardware (we’ll be using the RPi.GPIO and SMBus packages).

Tkinter comes with Python. If Python is installed, you will automatically have access to the the Tkinter package.

Follow the steps outlined in the Prepare Your Pi section of the Graph Sensor Data with Python and Matplotlib tutorial to install Raspbian and configure Python 3. You will only need to perform the last “Install Dependencies” step if you plan to replicate the final example in this guide (integrating Matplotlib with Tkinter).

Source:Python GUI Guide: Introduction to Tkinter

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