Matplotlib Markers

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In Matplotlib, markers are used in plotting functions to highlight the data points on a plot. They can be customized in various ways, including changing their shape, color, size, and more. Here’s a quick overview of how to use markers in Matplotlib.

Basic Usage

To use markers, you generally use the marker parameter in plotting functions like plt.plot(), plt.scatter(), etc.

        import matplotlib.pyplot as plt

        # Example data
        x = [1, 2, 3, 4, 5]
        y = [2, 3, 5, 7, 11]
        
        # Plot with markers
        plt.plot(x, y, marker='o')
        plt.show()
      

Common Marker Styles

Here are some of the common marker styles you can use:

• 'o' : Circle
• '^' : Triangle Up
• 'v' : Triangle Down
• 's' : Square
• 'p' : Pentagon
• '*' : Star
• '+' : Plus
• 'x' : X
• '.' : Point

Customizing Markers

You can customize the markers further by using parameters such as markersize, markeredgewidth, markeredgecolor, and markerfacecolor.

        plt.plot(x, y, marker='o', markersize=10, markeredgewidth=2, markeredgecolor='red', markerfacecolor='yellow')
        plt.show()
        
      

Scatter Plots

In scatter plots, markers are crucial since each point is typically represented by a marker.

        plt.scatter(x, y, s=100, c='blue', marker='^')  # s is the marker size
        plt.show()
      

Full Example

Here’s a more complete example that demonstrates various markers and customizations:

        import matplotlib.pyplot as plt

        # Example data
        x = [1, 2, 3, 4, 5]
        y1 = [1, 4, 9, 16, 25]
        y2 = [2, 3, 5, 7, 11]
        
        # Different markers for different plots
        plt.plot(x, y1, marker='o', markersize=8, markeredgewidth=1, markeredgecolor='blue', markerfacecolor='green', label='Squares')
        plt.plot(x, y2, marker='^', markersize=10, markeredgewidth=2, markeredgecolor='red', markerfacecolor='yellow', label='Primes')
        
        # Adding labels and title
        plt.xlabel('X-axis')
        plt.ylabel('Y-axis')
        plt.title('Plot with Custom Markers')
        plt.legend()
        
        # Show plot
        plt.show()
      

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