Do you want to create static, animated, and interactive visualizations in Python? Then, learn about the Matplotlib library. Check out all our practical Matplotlib tutorials with real examples.
When I first started working with Python for data visualization, I often wondered about the term Matplotlib inline. It’s a phrase that pops up frequently, especially when working with Jupyter notebooks. But what does it mean? And how can you use it effectively? In this article, I’ll share my firsthand experience with Matplotlib inline, explain … Read more >>
To plot multiple lines in Python, call plt.plot() once for each line before plt.show(): every call adds another line to the same graph. Give each line a label and call plt.legend() so readers can tell them apart. You can also plot all columns of a NumPy array or a pandas DataFrame in one call. This … Read more >>
As a developer working on a data visualization project, I needed to create clear and informative line plots to present some trend analysis. As I’ve discovered over my years working with Python, Matplotlib is incredibly useful, yet sometimes the basics can trip us up. In this article, I’ll walk through several approaches to plot lines … Read more >>