How to use LaTeX font, create zoom effect, outbox legend, continuous error, and adjust box pad margin — Data visualization is used to shows the data in a more straightforward representation and more comfortable to be understood. It can be formed in histograms, scatter plots, line plots, pie chart, etc. Many people are still using Matplotlib as their back-end module to visualize their plots. …

Completed Matplotlib tutorials for Python plotting from basic to advanced, with 100+ examples — This story is the next part of Python Data Visualization with Matplotlib — Part 1. In part 1, we have learned how to generate and customize the scatter plot, line plot, histogram, and bar chart. …

Completed Matplotlib tutorials for Python plotting from basic to advanced, with 100+ examples — Data visualization aims to present the data into a more straightforward representation, such as scatter plot, density plot, bar chart, etc. It is also useful to give readers or analysts a global picture of their data. By visualizing your data, you can detect potential outliers. In Python, you can use…

A guide to understanding animation in Matplotlib — A picture is worth a thousand words means that graphics can more effectively convey ideas than many words. How about animation or video? Animation or video is composed of many pictures. Of course, animation can be more effective in delivering ideas. The next level is the simulation. The difference between…

How to create outstanding Jupyter Notebook User Interface using CSS — Are you a python programmer who is using Jupyter Notebook as your compiler? If you want to try a new taste in running your python code in Jupyter Notebook (hereafter; Jupyter), you can change and personalize it by your favorite color, font family. …

Customizing Matplotlib for your scientific data visualization — There are at least two inspirations in writing this story. The first inspiration is coming from my participation in Summer School on Galaxies and Cosmology (SSGC 2020). It has three parts: Public Lecture, Lectures, and Workshops. One of the Workshops analyzed the weak gravitational lensing using Oguri et al. (2012)…

A guide to creating complex subplots in Matplotlib using subplot, add_subplot, and GridSpec — In certain times, we need to visualize our data into complex plots because we should do it or make a great plot. For example, you want to make a zoom effect in your plot, as shown in Figure 1. To present it, you need to build a convoluted subplot. Figure…

A guide to creating and customizing your own colormaps from a list of colors — Almost all the programmers who work with Python programming language know Matplotlib. It is one of the most used libraries. It is a multi-platform library that can play with many operating systems and was built in 2002 by John Hunter. Nowadays, people start to develop new packages with more simple…

Read and visualize 1.25 billion rows of Galaxy simulation data with Python effectively — Nowadays, we are entering many kinds of the era. Some people said that we are in the Disruption Era. To understand it, we can use a term from Schwartz (1999) in his book, Digital Darwinism. The term describes that we are entering the era in which businesses can not adapt…