Use Cases For Heatmaps
As we know the Heatmap is just a colored representation of a matrix. However, heatmap has a very large use case. We can use heatmaps for the following purpose.
- It is used to see the correlation between columns of a dataset where we can use a darker color for columns having a high correlation.
- We can also use heatmaps for plotting various time series and finance-related data where the Y-axis will be the month and X-axis will be the year and the element of the heatmap will be our data.
How to draw 2D Heatmap using Matplotlib in python?
In this article, we will explain about plotting heatmaps using the matplotlib library. A heatmap is a great tool for visualizing data across the surface. It highlights data that have a higher or lower concentration in the data distribution.