FacetGrid, factor plot, and pair plot may take up a lot of space when we need to visualize more variables or samples. There are two special plot types that come in handy if you want the maximize space efficiency--Heatmaps and Candlestick plots.
Other two-dimensional multivariate plots
Heatmap in Seaborn
A heatmap is an extremely compact way to display a large amount of data. In the finance world, color-coded blocks can give investors a quick glance at which stocks are up or down. In the scientific world, heatmaps allow researchers to visualize the expression level of thousands of genes.
The seaborn.heatmap() function expects a 2D list, 2D Numpy array, or pandas DataFrame as input. If a list or array is supplied, we can supply...
