Skip to content

Pass bootstrap option to boxplot stat computation #3562

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
mwaskom merged 3 commits into from
Nov 18, 2023
Merged

Pass bootstrap option to boxplot stat computation #3562

Changes from 1 commit
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
0ac69be
Update categorical.py
utkarshp Nov 16, 2023
64e5afc
Update categorical.py
utkarshp Nov 16, 2023
22aad7a
Passing bootstrap to matplotlib's stats computation.
utkarshp Nov 17, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Next Next commit
Update categorical.py 
Fixing bootstrap issue in boxplot
  • Loading branch information
@utkarshp
utkarshp authored Nov 16, 2023
commit 0ac69be414b89a4ee85315f8427e7eac4b4511d4
4 changes: 2 additions & 2 deletions seaborn/categorical.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -600,7 +600,7 @@ def get_props(element, artist=mpl.lines.Line2D):

if not fill and linewidth is None:
linewidth = mpl.rcParams["lines.linewidth"]

bootstrap = plot_kws.pop("bootstrap", mpl.rcParams["boxplot.bootstrap"])
plot_kws.setdefault("shownotches", plot_kws.pop("notch", False))

box_artist = mpl.patches.Rectangle if fill else mpl.lines.Line2D
Expand All @@ -626,7 +626,7 @@ def get_props(element, artist=mpl.lines.Line2D):

grouped = sub_data.groupby(self.orient)[value_var]
value_data = [x.to_numpy() for _, x in grouped]
stats = pd.DataFrame(mpl.cbook.boxplot_stats(value_data, whis=whis))
stats = pd.DataFrame(mpl.cbook.boxplot_stats(value_data, whis=whis, bootstrap=bootstrap))
positions = grouped.grouper.result_index.to_numpy(dtype=float)

orig_width = width * self._native_width
Expand Down