How to Plot an Array in Python Using Matplotlib?

Introduction:

Graphs are used to visualise data when plotting arrays in Python using Matplotlib, which facilitates the comprehension of relationships and trends. You can produce understandable and instructive visual representations of your data by following a few easy procedures, like configuring plot parameters, defining arrays, and importing the required libraries.

In Python, we may plot an array by following these steps:

• Determine the size of the figures and modify the space between and around the subplots.
• Using numpy, create two arrays, x and y.
• Use the title() function to set the curve's title.
• Plot the data points for x and y in red.
• You may use the show() function to see the figure.

Example 1:

Output:

Explanation:

This Python software generates a line graph by using Matplotlib and NumPy. It first imports the required libraries and then configures the plot's auto layout and figure size. Subsequently, it constructs an array x and arranges its components to form an additional array y. The script adds a title to the plot and plots x against y with a red line. Finally, plt.show() is used to display the graph. The relationship between the initial array, x, and its sorted version, y, is depicted in the following line graph.

Example 2:

Output:

Explanation:

This Python software generates and displays a sine wave using matplotlib and numpy. It calculates the sine values of each of the 100 values that are generated, which span from 0 to 10. The sine wave is shown on a plot by round markers and a blue dashed line. For easier reading, the plot has a title, axis labels, and a grid display. Lastly, the plot is rendered and displayed by calling plt.show().

Conclusion:

You can efficiently plot arrays to visualise data trends by using Matplotlib and NumPy. Adding labels, colours, and sizes to the plot improves readability and sheds light on the connections between the data points. A simple method for using these libraries to create a line plot is shown in the code sample below.