Python Plot Highlight

In order to avoid the creation of a spaghetti plot, it is a good practice to highlight the group s that interests you the most in your line chart. It allows the reader to understand your point quickly, instead of struggling to decipher hundreds of lines. This post will show how to highight a line in a line chart using matplotlib.

Time Series Plots are line plots with x-axis being date time instead of regular quantitative or ordered categorical variable. Sometimes you might want to highlight a region on a time series plot. In this post, we will learn how to highlight a time interval with a rectangular colored block in Python using Matplotlib.

Learn how to annotate plots, highlight points of interest, and use visual tools to convey information in Matplotlib.

In this article, we will explain how to highlight data with Python, and explore the different types of plots that can be used.

Markers help highlight specific data points on plots, making it easier for viewers to interpret and analyze the information presented. In this comprehensive guide, we'll explore various aspects of matplotlib markers, including their types, customization options, and best practices for using them effectively in your data visualizations.

The coordinates of the points or line nodes are given by x, y. The optional parameter fmt is a convenient way for defining basic formatting like color, marker and linestyle. It's a shortcut string notation described in the Notes section below.

Learn how to automatically highlight specific x-value ranges in your Matplotlib visualizations, especially useful for stock data analysis.

Scatter Plot with Matplotlib in Python The outlier data points make the scatter plot really intriguing and you might want to highlight the outliers in a different color. Let us highlight the select data points with a specific color that is different from other data points' color.

Annotate plots The following examples show ways to annotate plots in Matplotlib. This includes highlighting specific points of interest and using various visual tools to call attention to this point. For a more complete and in-depth description of the annotation and text tools in Matplotlib, see the tutorial on annotation.

Here is a solution that uses axvspan to draw multiple highlights where the limits of each highlight are set by using the indices of the stock data corresponding to the peaks and troughs. Stock data usually contain a discontinuous time variable where weekends and holidays are not included. Plotting them in matplotlib or pandas will produce gaps along the x-axis for weekends and holidays when