How to create visualizations with matplotlib in Python
In this tutorial, you will get started with Matplotlib visualization in Python. You will learn the object-oriented approach with Matplotlib, this makes it less confusing with the cost of only one more line of code.
In this tutorial, you will:
- Get started with Matplotlib: Learn the basics of Matplotlib, a popular data visualization library in Python.
- Object-Oriented Approach: Explore the object-oriented approach in Matplotlib, which simplifies the process with minimal additional code.
- Clear and Concise Visualization: Create visually appealing and informative plots using Matplotlib’s object-oriented approach.
By the end of the tutorial, you will have a solid foundation in using Matplotlib for data visualization. The object-oriented approach will streamline your workflow and help you create clear and concise visualizations with ease.
Plot a list of numbers with Matplotlib in Python
Given a list of numbers, how can you make a connected line?
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ax.plot([1, 2, 3, 4])
Which results in the following output.
The numbers do not need to be in a straight line. But the line will be connected.
Make a Colored Scatter Plot with Matplotlib in Python
Now you need tree lists.
import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5, 6, 4]
y = [2, 3, 2, 1, 6, 10, 3]
c = [1, 1, 2, 2, 3, 4, 4]
fig, ax = plt.subplots()
ax.scatter(x, y, c=c)
ax.set_title("Title")
ax.set_xlabel("X label")
ax.set_ylabel("Y label")
This results in the following plot.
Notice that we also added titles and labels to the axis.
This could also be done in the connected line plot above.
Make a Histogram with Matplotlib
You can make a histogram as follows.
import matplotlib.pyplot as plt
data = [1, 1, 2, 2, 1, 2, 3, 3, 2, 3, 1, 3, 2]
fig, ax = plt.subplots()
ax.hist(data, bins=4)
ax.set_title("Title")
ax.set_xlabel("X label")
ax.set_ylabel("Y label")
This results in the following plot.
Pie Charts
Pie charts are a very powerful way to represent data.
- Pie charts are easy to understand.
- Pie charts are simple to show how data is divided.
Be sure to check this Pie Chart tutorial for matplotlib in Python.
Want to learn more?
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