Skip to content

Updated violin plot example as per suggestions in issue #7251 #7360

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
merged 9 commits into from
Oct 31, 2016
Merged

Updated violin plot example as per suggestions in issue #7251 #7360

Changes from 1 commit
Commits
Show all changes
9 commits
Select commit Hold shift + click to select a range
08db92d
Updated example as per suggestions in issue #7251
DrNightmare Oct 29, 2016
becbfa4
Fixed ordering of parameters to np.clip()
DrNightmare Oct 29, 2016
14cd6cf
Made variable names more meaningful
DrNightmare Oct 30, 2016
03946d4
Replaced use of zip with call to transpose
DrNightmare Oct 30, 2016
8044e9d
Changed variable 'tmp' to 'quartiles' and slightly altered transpose …
DrNightmare Oct 30, 2016
88a8c2e
Fixed recalculation of interquartile ranges
DrNightmare Oct 30, 2016
62c1716
Replaced plot() calls with scatter() and vlines() calls
DrNightmare Oct 30, 2016
9f4bbdd
Removed unused variable and comments
DrNightmare Oct 31, 2016
b3ce73b
Removed unnecessary comments
DrNightmare Oct 31, 2016
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
Prev Previous commit
Next Next commit
Fixed ordering of parameters to np.clip()
  • Loading branch information
@DrNightmare
DrNightmare committed Oct 29, 2016
commit becbfa45bcdd70a22a4116aa3162c2f0a494deee
2 changes: 1 addition & 1 deletion examples/statistics/customized_violin_demo.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@ def adjacent_values(vals):
uav = np.clip(uav, q3, vals[-1])
# lower adjacent values
lav = q1 - iqr * 1.5
lav = np.clip(lav, q1, vals[0])
lav = np.clip(lav, vals[0], q1)
return [lav, uav]


Expand Down