seaborn
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Statistical data visualization in Python
- `Band` is more consistent with `err_style="band"` in the existing `lineplot` and is shorter - `Range` is more about brevity than consistency, but `Interval` could be useful as a stat...
Hello, I was recently working on face verification and I wanted something like a correlation matrix for faces. I couldn't find any, so I made a script for that. I...
This works: ```python so.Plot(x=[1, 2, 3, 4], ymin=0, ymax=[1, 2, 3, 4]).add(so.Interval()) ``` This fails: ```python so.Plot(x=[1, 2, 3, 4], ymax=[1, 2, 3, 4]).add(so.Interval(), ymin=0) ``` ```python-traceback --------------------------------------------------------------------------- ValueError Traceback...
Hello, I'm sure this is all on the radar / plan for the next gen Seaborn anyway, but just thought I'd flag some features that I couldn't work out how...
In Seaborn, if someone wants to plot a _smooth_ [survival function](https://en.wikipedia.org/wiki/Survival_function) (defined as 1-the CDF), there are two suboptimal solutions: - seaborn.kdeplot can plot a smooth CDF plot - seaborn.ecdfplot...
Hello! Bit of an edge case here, but one that might be worth thinking about. When setting `despine=True` for `FacetGrid`, this can lead to slightly confusing results if the style...
In some cases, it will be easy for users to achieve some fussy customization by writing imperative matplotlib code rather than trying to fit it into the declarative seaborn spec....
This should show the sequence of questions one asks oneself while deciding which plot type to use. This basically exists in the narrative of that page already, but it would...