-
-
Notifications
You must be signed in to change notification settings - Fork 17.7k
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.
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
BUG: Groupby.quantile segfaults for quantile > 1 #27470
Comments
4 tasks
Apparently this is platform specific. Works fine for me on OSX with numpy 1.16.4, segfaults on Ubuntu 18.04 with numpy 1.16.2 |
Thanks for investigating |
TomAugspurger
added a commit
to TomAugspurger/pandas
that referenced
this issue
Aug 8, 2019
Validate that q is between 0 and 1. Closes pandas-dev#27470
jbrockmendel
pushed a commit
that referenced
this issue
Aug 12, 2019
* BUG: Fix groupby quantile segfault Validate that q is between 0 and 1. Closes #27470 * prettier
quintusdias
pushed a commit
to quintusdias/pandas_dev
that referenced
this issue
Aug 16, 2019
* BUG: Fix groupby quantile segfault Validate that q is between 0 and 1. Closes pandas-dev#27470 * prettier
WillAyd
pushed a commit
to WillAyd/pandas
that referenced
this issue
Oct 31, 2019
* BUG: Fix groupby quantile segfault Validate that q is between 0 and 1. Closes pandas-dev#27470 * prettier
jreback
pushed a commit
that referenced
this issue
Oct 31, 2019
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Adding tests for #27467 surfaced some bugs:
quantile accepts floats in
[0,1]
or arrays of floats. It appears not to validate the range though.The text was updated successfully, but these errors were encountered: