Hands-on Tutorial
Matplotlib 101 — Basic Introduction for Python Beginner
Learn how to customize a basic matplotlib plot and make it looks professional in less than 1 hour
If you are a person who start the journey with Python for data science, this article is made for you. One of the skills you must master at the beginning of your data science journey is data exploration through visualization. In fact, there are a lot of visualization tools out there but if you want to learn Python more deeply, what if the visualizations are made using Python as well? You will get all points checked!
Matplotlib and seaborn are two popular packages for making from basic to advanced visualization in Python. This article will cover a basic introduction and how to customize data visualization made by matplotlib. After following the article, you are expected to be able to make visualizations more attractive and professional.
What is the matplotlib in Python?
Matplotlib is one of the most powerful and famous data visualization packages in Python. It is open source and developed on NumPy arrays so this is why matplotlib can process a large amount of data. It has the ability to create a bar plot, time-series plot, box-whisker plot…
