Best Matplotlib Resources to Buy in October 2025
Matplotlib 3.0 Cookbook: Over 150 recipes to create highly detailed interactive visualizations using Python
Python Data Cleaning Cookbook: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI
Python GUI Programming with Tkinter: Design and build functional and user-friendly GUI applications, 2nd Edition
Python for Engineering and Scientific Computing: Practical Applications with NumPy, SciPy, Matplotlib, and More (Rheinwerk Computing)
Python Data Analytics: With Pandas, NumPy, and Matplotlib
Data Visualization in Python with Pandas and Matplotlib
Effective Visualization: Exploiting Matplotlib & Pandas (Treading on Python)
Python Data Analytics: With Pandas, NumPy, and Matplotlib
To update the y-axis in Matplotlib, you can adjust the range, scale, ticks, labels, and other properties of the y-axis using various methods and functions provided by the Matplotlib library. You can set the limits of the y-axis using xlim() method, set the scale of the y-axis using set_yscale() method, customize the ticks and labels of the y-axis using set_yticks() and set_yticklabels() methods, and more. By updating the y-axis properties, you can control the appearance and behavior of the y-axis in your Matplotlib plots and ensure that the data is displayed accurately and clearly.
How to customize the font size of the y-axis labels in matplotlib?
You can customize the font size of the y-axis labels in Matplotlib by using the fontsize parameter of the yticks function. Here's an example code snippet showing how to do this:
import matplotlib.pyplot as plt
Generate some sample data
x = [1, 2, 3, 4, 5] y = [10, 20, 15, 25, 30]
plt.plot(x, y)
Customize the font size of the y-axis labels
plt.yticks(fontsize=12)
plt.show()
In this code snippet, we call the yticks function with the fontsize parameter set to 12, which sets the font size of the y-axis labels to 12 points. You can adjust the value of the fontsize parameter to change the font size to your desired size.
How to adjust the y-axis label position in a matplotlib plot?
You can adjust the position of the y-axis label in a matplotlib plot by specifying the labelpad parameter when setting the y-axis label using plt.ylabel().
For example, you can adjust the position of the y-axis label by increasing or decreasing the labelpad value. Here's an example of how you can do this:
import matplotlib.pyplot as plt
Generate some sample data
x = [1, 2, 3, 4, 5] y = [10, 20, 15, 25, 30]
Create a plot
plt.plot(x, y)
Set y-axis label with adjusted position
plt.ylabel('Y-axis label', labelpad=20)
Display the plot
plt.show()
In this example, the labelpad parameter is set to 20, thereby adjusting the position of the y-axis label. You can experiment with different values for labelpad to achieve the desired position for your y-axis label.
What is the syntax for updating the y-axis tick marks in matplotlib?
To update the y-axis tick marks in matplotlib, you can use the yticks() function. The syntax for updating the y-axis tick marks is as follows:
import matplotlib.pyplot as plt
Create a figure and axis
fig, ax = plt.subplots()
Update the y-axis tick marks
ticks: list of tick locations
labels: list of tick labels
ax.set_yticks(ticks, labels)