Line Styles - ( Matplotlib Plots )

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Syntax

The line styles can be set in Matplotlib using the linestyle parameter in the plot functions. The following line styles are available in Matplotlib:

• Solid line ('-')
• Dashed line ('--')
• Dotted line (':')
• Dot-dash line ('-.')
• No line (``)

import matplotlib.pyplot as plt

plt.plot(x, y, linestyle='-', label='solid line')
plt.plot(x, y, linestyle='--', label='dashed line')
plt.plot(x, y, linestyle=':', label='dotted line')
plt.plot(x, y, linestyle='-.', label='dot-dash line')
plt.plot(x, y, linestyle='', label='no line')

plt.legend()
plt.show()

Example

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 100)
y = np.sin(x)

plt.plot(x, y, linestyle='-', label='solid line')
plt.plot(x, y + 1, linestyle='--', label='dashed line')
plt.plot(x, y + 2, linestyle=':', label='dotted line')
plt.plot(x, y + 3, linestyle='-.', label='dot-dash line')
plt.plot(x, y + 4, linestyle='', label='no line')

plt.legend()
plt.show()

Output

Explanation

Line styles in Matplotlib are used to differentiate between multiple lines plotted in the same plot. The line style is set using the linestyle parameter in the plot function. Matplotlib provides several line styles to choose from, including solid, dashed, dotted, and dot-dash.

In the example above, we plotted multiple sine waves with different line styles. This helps to distinguish between the different waves easily in the plot.

Use

Line styles are used in Matplotlib plots to distinguish between multiple lines. This is useful when plotting multiple datasets in the same plot. Different line styles also make the plot visually appealing and easier to read.

Important Points

• Line styles can be set in Matplotlib using the linestyle parameter in the plot functions
• Matplotlib provides several line styles to choose from, including solid, dashed, dotted, and dot-dash
• Different line styles help distinguish between multiple lines plotted in the same plot
• Line styles make the plot visually appealing and easier to read

Summary

In conclusion, line styles are an important aspect of Matplotlib plots. They help distinguish between multiple lines plotted in the same plot and make the plot visually appealing and easier to read. Matplotlib provides several line styles to choose from, including solid, dashed, dotted, and dot-dash.