Marker Styles - ( Matplotlib Plots )

Heading h2

Syntax

plt.plot(x, y, marker='o')

Example

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 4, 5, 6]

plt.plot(x, y, marker='o')

plt.show()

Output

A simple line plot with markers at each data point.

Explanation

Markers are used to highlight individual data points on a plot. Matplotlib provides a number of marker styles that can be used to customize the appearance of data points.

In the above example, we create a simple line plot using the plot() function from Matplotlib. We pass in the x and y coordinates of the data points as input, and then specify marker='o' to add circular markers to each data point.

Use

Marker styles can be used to customize the appearance of data points on a plot. They can be used to highlight important data points, or to create a specific visual effect on a plot.

Important Points

• Markers are used to highlight individual data points on a plot
• Matplotlib provides a number of marker styles that can be used to customize the appearance of data points
• Marker styles can be specified using the marker parameter in the plot() function
• Common marker styles include circles ('o'), squares ('s'), diamonds ('d'), and triangles ('^')

Summary

In conclusion, marker styles can be used to customize the appearance of data points on a plot in Matplotlib. They provide a simple and effective way to highlight important data points or to create a specific visual effect on a plot. Common marker styles include circles, squares, diamonds, and triangles. They can be specified using the marker parameter in the plot() function.