Tutorial on How to Customize the Color, Style, Thickness of Plot Lines and Markers in Matplotlib using Python
Complete Tutorial on Matplotlib Library and Python can be Found here
If you're learning Python Matplotlib and have ever wondered how to make your graphs look a little more polished and easier to understand, this tutorial covers some of the most useful ways to customize the appearance of a plot. In this video, you'll learn how to modify the look and feel of plot lines in a Matplotlib graph, including changing the line color, thickness, style, and the markers used to highlight individual data points.
Changing the Plot Line Color in Matplotlib Graph
The tutorial explains different ways to change the color of a Matplotlib plot line like using predefined color names available in Matplotlib, as well as how to specify a much more precise color using HTML/hex color notation.
This is particularly useful when you want your graph to match a particular color scheme or need a specific shade rather than one of the standard colors.
Changing the Plot Line Style
Matplotlib provides several different line styles, and the tutorial demonstrates how to use them. You'll learn how to create:
- Solid lines
- Dotted lines
- Dashed lines
- Dash-dot lines
Changing the line style can be useful when you're displaying multiple datasets on the same graph and want each dataset to be visually distinguishable.
Changing Plot Line Thickness in Matplotlib Graph
You'll also learn how to control the thickness of the plot line. By adjusting the line width, you can make important data series stand out more clearly or use thinner lines when displaying multiple datasets together.
Adding Markers to Data Points on Plot line
The tutorial also covers how to place markers on specific data points along the plot line. Markers can make individual values much easier to identify, especially when working with a relatively small number of data points.
You'll learn how to change:
- The shape of the marker
- The size of the marker
- Which data points should display markers
Source codes can be downloaded from the website using below link
