Hey there, I'm the author of Dexplot. There are many issues I had with seaborn
• Not allowed to set figure size
• No wrapping of tick labels
• No strings for pandas aggregation functions
• No automatic ordering of x/y labels (dexplot provides several options)
• Having to use separate grid functions (catplot, lmplot) for multiple subplots
• Something like 5 different functions for scatterplots. Dexplot has one
• No relative frequency bar charts, which are a fantastic way to explore data. Dexplot provides normalization over any set of variable
• No stacked bar charts
• Seaborn docs have distribution plots (box, violin) in the "categorical" section. A major distinction needs to be made between plots that aggregate, show distributions, and those that plot raw data (like scatterplots)
• Returning of matplotlib axes or seaborn grid objects. Dexplot always returns the matplotlib figure
• Seaborn is essentially dead as far as I can tell with few changes in the last 2-3 years. There are even parameters that continue to be non-functional
In the future, Dexplot will add:
• Many more plotting functions
• Several apps (built from ipywidgets) to explore data. Currently, there is one for viewing colors
• Better automatic figure sizing (it exists now, but will be improved)
• Automatic DPI detection so that matplotlib inches correspond to actual screen inches
Dexplot aims to be very intuitive, easy to use, consistent, and allow easy exploration (the name is a smashing together of data exploration plotting).