Best Matplotlib Resources to Buy in October 2025
Effective Visualization: Exploiting Matplotlib & Pandas (Treading on Python)
Data Visualization in Python with Matplotlib: The Complete Guide to Mastering Python
Mastering Data Analysis with Python: A Comprehensive Guide to NumPy, Pandas, and Matplotlib
Data Analysis Foundations with Python: Master Python and Data Analysis using NumPy, Pandas, Matplotlib, and Seaborn: A Hands-On Guide with Projects ... From Basics to Real-World Applications)
Python Data Analytics and Visualization for Beginners: A Hands-On Guide to Exploring and Visualizing Data with Pandas and Matplotlib (Python MEGA bundle)
Python Cheat Sheet, Guide by Examples, Cover all Basic Python Syntaxes, Complete Reference (2025.01): Python Programming Syntax Table & Chart, Quick Study Workbook, Syntax Dictionary
Python and Matplotlib Essentials for Scientists and Engineers (Iop Concise Physics)
50 Days of Data Analysis with Python: The Ultimate Challenges Book for Beginners.: Hands-on Challenges with pandas, NumPy, Matplotlib, Sklearn and Seaborn
MATLAB Programming, For Beginners, Quick Start Guide: Matlab Language Crash Course Tutorial & Exercises (Paperbacks in 8 Hours)
Problem Solving with Python 3.7 Edition: A beginner's guide to Python & open-source programming tools
To plot a scatter pie chart using matplotlib, first import the necessary libraries such as matplotlib.pyplot. Next, create the data points for the scatter plot and specify the labels for the pie chart. Then, use the plt.scatter() function to plot the scatter plot with the desired data points. Finally, use the plt.pie() function to plot the pie chart with the specified labels. Customize the chart by adding a title, axis labels, and legend if needed. Display the chart using plt.show().
How to label a scatter plot in matplotlib?
To label a scatter plot in Matplotlib, you can use the plt.text() function to add text annotations to specific data points. Here's an example of how to label a scatter plot:
import matplotlib.pyplot as plt
Generate some random data
x = [1, 2, 3, 4, 5] y = [5, 4, 3, 2, 1] labels = ['A', 'B', 'C', 'D', 'E']
Create a scatter plot
plt.scatter(x, y)
Add labels to the data points
for i, label in enumerate(labels): plt.text(x[i], y[i], label, fontsize=12, ha='right')
Add axis labels and title
plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.title('Scatter Plot with Labels')
Display the plot
plt.show()
In this example, we have generated some random data points and corresponding labels. We then plot the scatter plot using plt.scatter(), add text annotations for each data point using plt.text(), and finally display the plot with labels using plt.show(). You can customize the size, font, and position of the labels by adjusting the argument values in plt.text().
How to change the axis limits in a scatter plot in matplotlib?
To change the axis limits in a scatter plot in Matplotlib, you can use the xlim() and ylim() functions. Here's an example:
import matplotlib.pyplot as plt import numpy as np
Generate some random data
x = np.random.rand(100) y = np.random.rand(100)
Create scatter plot
plt.scatter(x, y) plt.xlabel('X-axis') plt.ylabel('Y-axis')
Set custom axis limits
plt.xlim(0, 1) # Set x-axis limits from 0 to 1 plt.ylim(0, 1) # Set y-axis limits from 0 to 1
plt.show()
In this example, we first generate some random data for the scatter plot. We then create the scatter plot using scatter(). Finally, we set the custom axis limits using xlim() for the x-axis and ylim() for the y-axis.
How to create a pie chart in matplotlib?
To create a pie chart in matplotlib, you can use the plt.pie() function. Here's a step-by-step guide:
- Import the necessary libraries:
import matplotlib.pyplot as plt
- Create your data for the pie chart. This can be a list of values or a dictionary with labels and corresponding values:
sizes = [20, 30, 40, 10] # Example list of values labels = ['A', 'B', 'C', 'D'] # Example labels
- Plot the pie chart using the plt.pie() function:
plt.pie(sizes, labels=labels, autopct='%1.1f%%')
- Add a title and show the pie chart:
plt.title('My Pie Chart') plt.show()
You can customize the pie chart further by adding colors, exploding certain slices, adding a legend, etc. Check the matplotlib documentation for more customization options.
What is the syntax for creating a scatter plot in matplotlib?
To create a scatter plot in matplotlib, you can use the plt.scatter() function. The syntax is as follows:
import matplotlib.pyplot as plt
Create data
x = [1, 2, 3, 4, 5] y = [10, 20, 15, 25, 30]
Create scatter plot
plt.scatter(x, y)
Add labels and title
plt.xlabel('X-axis label') plt.ylabel('Y-axis label') plt.title('Scatter Plot')
Display plot
plt.show()
In this example, we first import the necessary module matplotlib.pyplot as plt. Then we define our data points x and y. Next, we use the plt.scatter() function to create a scatter plot with our data. Finally, we add labels to the axes and a title to the plot, and then display the plot using plt.show().
What is a pie chart?
A pie chart is a circular statistical graphic that is divided into slices to illustrate numerical proportions. Each slice represents a proportion of the whole, and the size of each slice is proportional to the quantity it represents. Pie charts are commonly used to show percentages, proportions, and distributions of data.