Advance Plotting Options Using Matplotlib
Explore advanced plotting features in Matplotlib to customize your data visualizations. Learn to adjust ticks, use logarithmic scales, create dual axes, and arrange multiple plots on a single canvas. This lesson helps you master detailed customization techniques to better present complex data with Python.
We'll cover the following...
We’ve now covered the most important and commonly used concepts that data scientists use in their daily work. However, there are still a ton of options that Matplotlib provides that we don’t use often, but are still helpful to know. And don’t forget that you can always explore the official documentation for more resources!
We’ll have a look at a few of these advanced plotting concepts in this section.
Note: There’s no need to memorize the code. Once you know what type of plot you are looking for to plot your data, you can always refer to this lesson to copy the code and make changes according to your requirements.
Customized ticks and their labels
Ticks are the values that indicate specific points along the ...