Course Content
Ultimate Visualization with Python
Ultimate Visualization with Python
1. Matplotlib Introduction
2. Creating Commonly Used Plots
5. Plotting with Seaborn
Creating a Canvas
First of all, matplotlib consists of three layers:
- Backend layer (renders plot to screens or files);
- Artist layer (describes how data is arranged, is made up of one object,
Artist); - Scripting layer (connects the previous two layers and simplifies access to them).
We will mainly focus on the scripting layer with the pyplot module you have already seen and the artist layer. Artist layer contains the following:
- Containers (e.g.
Figure,Axes); - Primitives (e.g. Line, Rectangle, Circle, Text, etc).
Figure is the main Artist object and can be thought of as a canvas where all the plots will be located. Basically, it holds everything together.
On the other hand, Axes is an object made up of two axis objects, x-axis and y-axis.
Note
Figure= canvas,Axes= x-axis + y-axis.
Now let’s look at the creation of the Figure and its Axes:
import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.plot() plt.show()
Everything was clear?
Thanks for your feedback!
Section 1. Chapter 3
