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regplot: support confidence intervals with lowess model

See original GitHub issue

Current regplot behavior when lowess=True is to ignore the confidence interval (ci) and bootstrap (n_boot) keyword arguments (example below):

sns.regplot('obs', 'mod', data=data, lowess=True, ci=95, n_boot=1000)

Any thoughts on making it possible to bootstrap the lowess model?

Issue Analytics

State:
Created 8 years ago
Reactions:2
Comments:5 (2 by maintainers)

Top GitHub Comments

2reactions

metma99commented, Dec 28, 2017

Hello: First of all I would like to congratulate the authors on a wonderful library. May I ask, what your plans regarding this question is? I am using the most uptodate seaborn version through conda. Thanks again for a beautiful tool, Markus

1reaction

arkottkecommented, Mar 24, 2021

Is there interest in adding the confidence intervals to the lowess fits? I find them informative when looking at data. In the past, I have used the skmisc.loess library to achieve this, but it would be nice to incorporate it into seaborn. After digging around in the issues, it seems like this hasn’t been incorporated because of slow performance in boot strapping in statsmodels.

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