Python Matplotlib Customization

In this Matplotlib article we want to learn about Python Matplotlib Customization, so Python Matplotlib library provides a different array of customization options, and using that you can create visually appealing and informative plots. Customizing plots not only enhances their visual appeal but also enables you to plot data nicely. in this tutorial you will learn about this concept in Matplotlib.



First you should install matplotlib, if you have not installed you can use pip for that like this.



After installation, we need to import the required classes from matplotlib.



For demonstrating customization, let’s generate some sample data using numpy. We will create arrays x and y to represent the coordinates of the data points.



Using Matplotlib plot() function, we can create a basic plot with the generated data, in here, we pass the x and y arrays as inputs and customize the color, linewidth, linestyle and label of the plot line.



Matplotlib provides different customization options. let’s talk about a few of them, These are just a few examples of the many customization options available. You can adjust colors, line styles, font styles, tick marks, legends, plot limits and many more based on your specific requirements.




For displaying the customized plot, we can use the function.



If you want to save the plot as an image, you can use the plt.savefig() function instead.




This is the complete code for this article 




Run the complete code and this will be the result

Python Matplotlib Customization
Python Matplotlib Customization



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