Welcome to the latest post of the Viz4Sci Substack! This week we play around with matploltib’s heatmap functionality and use it to visualize the peak times of the Top 50 countries by number of CoVID-19 cases.
And we’re looking forward to hearing your thoughts, so go ahead and….
This week we once again use the JHU CoVID dataset has steadily become the unofficial standard dataset for the number of cases and deaths around the world. Yo can checkout out our previous post using this data repository in the time series state map post.
Today’s application is fairly straightforward. After some normalization and sorting, we simply use plt.imshow (we used it a couple weeks ago to display photos in the Color Blindness post) to display our matrix of values as a heatmap:
