Skip to content

TST: tests for outputing ambiguous times, #11619, fixed already in #11301 #11641

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

Merged
merged 1 commit into from
Nov 18, 2015

Conversation

jreback
Copy link
Contributor

@jreback jreback commented Nov 18, 2015

closes #11619

@jreback jreback added Testing pandas testing functions or related to the test suite Output-Formatting __repr__ of pandas objects, to_string Dtype Conversions Unexpected or buggy dtype conversions IO CSV read_csv, to_csv Timezones Timezone data dtype labels Nov 18, 2015
@jreback jreback added this to the 0.17.1 milestone Nov 18, 2015
jreback added a commit that referenced this pull request Nov 18, 2015
TST: tests for outputing ambiguous times, #11619, fixed already in #11301
@jreback jreback merged commit d6ceeba into pandas-dev:master Nov 18, 2015
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Dtype Conversions Unexpected or buggy dtype conversions IO CSV read_csv, to_csv Output-Formatting __repr__ of pandas objects, to_string Testing pandas testing functions or related to the test suite Timezones Timezone data dtype
Projects
None yet
Development

Successfully merging this pull request may close these issues.

Cannot infer dst time from Timestamp('2015-11-01 01:00:10'), try using the 'ambiguous' argument
1 participant