Matplotlib - Line Graph and Scatter and Plot

Lecture 17:- Matplotlib - Line Graph and Scatter and Plot

Matplotlib is a popular Python library used for creating visualizations, including line graphs and scatter plots. It provides a wide range of functionalities for customizing plots and visualizing data. Here's how you can create line graphs and scatter plots using Matplotlib:

Line Graph: A line graph displays data as a series of data points connected by straight lines. It is useful for visualizing trends and changes over time.

Scatter Plot: A scatter plot represents individual data points as dots. It is useful for visualizing the relationship between two variables.

Combining Line Graph and Scatter Plot: You can combine both line and scatter plots on the same graph for comparison.

In each of the examples, plt.plot() is used to create the line graph, plt.scatter() is used to create the scatter plot, and various customization options such as color, marker, and linestyle are provided to customize the appearance of the plots. The plt.xlabel(), plt.ylabel(), plt.title(), plt.legend(), and plt.grid() functions are used to add labels, title, legend, and grid to the plot, respectively.

Matplotlib is highly flexible, allowing you to create a wide range of visualizations with just a few lines of code. It is widely used in the data science and scientific community for data visualization and exploration.

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import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 15, 8, 20, 12] # Create a line graph and a scatter plot plt.plot(x, y, marker='o', linestyle='-', color='b', label='Line Graph') plt.scatter(x, y, marker='o', color='r', label='Scatter Plot') plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.title('Line Graph and Scatter Plot') plt.legend() plt.grid(True) plt.show()

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import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 15, 8, 20, 12] # Create a scatter plot plt.scatter(x, y, marker='o', color='r', label='Data Points') plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.title('Scatter Plot') plt.legend() plt.grid(True) plt.show()

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import matplotlib.pyplot as plt # Sample data x = [1, 2, 3, 4, 5] y = [10, 15, 8, 20, 12] # Create a line graph plt.plot(x, y, marker='o', linestyle='-', color='b', label='Data Points') plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.title('Line Graph') plt.legend() plt.grid(True) plt.show()