how to create charts in Tkinter

In how to create charts in Tkinter, Tkinter is one of many libraries that can be used to create different chart types and graphical user interfaces

With python programming, its ease of use and ability to quickly roll out GUI applications, make it one of the most popular in use today.

In the below video, after importing Tkinter we use many of its built-in functions to create:

  • Pie chart, a bar chart and a line chart
  • We also use functions and classes to help manage the creation of the charts,
  • It is recommended you follow the video to the end as it will give you a great insight into how these can be used in a video.

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Python tutorial: Create an input box in Tkinter

Using an tkinter input box for your data projects

There may be an occasion as you are building out a data science or data analytics project, checks need to be performed on the dataset as follows:

  •  Big data sets and speed requirements in conjunction with
  • The need to reduce the volume of data returned which is impeding performance

and this is where input boxes and Tkinter can help!

In the below video, we are demonstrating an introduction to using an input box and validating the input.

We demonstrate how to validate the data entered into the tkinter input box and return a message, this will ensure the user gets the correct data.

Types of uses for a tkinter input box are varied, here are some thoughts:

  • Use an input box to return a set of data for a particular day.
  • Using them to filter down the results to a particular cohort of data.
  • Conduct a string search to find data quality issues to be fixed.

Python tutorial: How to create a graphical user interface in tkinter

How would you like to present your data analytics work better?

When starting your data analytics projects, one of the critical considerations is how to present your results quickly and understandably?

Undoubtedly this is true if you are only going to look at the results yourself.

If the work you do is a repeatable process, a more robust longer-term solution needs to be applied, this is where Tkinter can help, which is a python graphical user interface.

There are many applications for using Tkinter, such as:

  • Use them to build calculators.
  • They can show graphs and bar charts.
  • Show graphics on a screen.
  • Validate user input.

Where this all fits in with data analytics?

While going through a set of data and getting some meaning to it can be challenging, using the python graphical user interface tutorial below can help build the screens that will allow a repeatable process to display in a meaningful way.

Ultimately, you could do the following:

  • Build a screen that shows data analytics errors in a data set, e.g. The number of blank column values in a dataset.
  • Another application is to run your analytics to show the results on a screen that can be printed or exported.
  • Similarly, you could also have a screen where a user selects several parameters that are fed into the data analytics code and produces information for the user to analyse.

There are many more ways that you could do this, but one of the most important things is that data analytics can be built into a windows environment using Tkinter that the user would be used to seeing. As a result, this could help to distribute a solution across an enterprise to lots of different users.

The only thing that needs to happen is that the requirements the user needs are defined, and the developer then builds on those, with the data analytics code run in the background of this program with Tkinter and output into a user-friendly screen for review.

 

How to create a combobox in tkinter

Here we have delivered a complimentary video to How to create a graphical user interface in Tkinter, demonstrating how a Combobox can be used to select values and then validate the entry chosen.

Using a Combobox in the computer programming world has been in use for some time. It is a useful way to select from a choice and could in many ways in data analytics help as the following examples show:

  • Select a date to filter a data set down to values that are in the dataset at that point.
  • Using matplotlib to plot data points in charts, you could have dynamic values that change the diagram based on values chosen from the Combobox.
  • Utilising data analytics reports that the user accesses, the Combobox could be used to change the data shown dynamically to allow comparisons.
  • When looking to fix data quality issues, use the Combobox to select values for a date that needs to be fixed, apply the fixes on screen and then save back to the database.

Developing a Tkinter GUI and the possibilities it brings

In this video, we use ttk, written to help split the behaviour of code from the code implementing its appearance; you can see plenty more on it here ttk information. You will find this a handy piece of functionality so that styling an object will not interfere with how it works.

We also have a function that helps with the validation as follows:

def checkifireland ():
    x = combolist.get() # asssigns the value inside the combobox to x so it can be processed
    if x == "Ireland":
        messagebox.showinfo("Correct answer", "You will love it in Ireland")
    else:
        messagebox.showinfo("Incorrect answer", "You should visit Ireland first!")

The effectiveness is especially handy as it helps to ensure that the code returned from the Combobox to the function is correct, as the below video will show.

The next steps

There are many informative Python – working with excel videos which are on our YouTube channel.

We are looking to bring them in and show on a graphical user interface tutorial.

If you subscribe to the channel, you will get to see those videos as they are uploaded.