Skip to content

Conversation

dubourg
Copy link
Contributor

@dubourg dubourg commented Oct 19, 2016

@codecov-io
Copy link

codecov-io commented Oct 19, 2016

Current coverage is 85.25% (diff: 100%)

Merging #14449 into master will not change coverage

@@             master     #14449   diff @@
==========================================
  Files           140        140          
  Lines         50631      50631          
  Methods           0          0          
  Messages          0          0          
  Branches          0          0          
==========================================
  Hits          43166      43166          
  Misses         7465       7465          
  Partials          0          0          

Powered by Codecov. Last update c31ea34...57a2ec8

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

change this in factorize_from_iterable instead

@jreback jreback added Bug Reshaping Concat, Merge/Join, Stack/Unstack, Explode labels Oct 19, 2016
@jreback
Copy link
Contributor

jreback commented Oct 19, 2016

minor change, ping when green.

@dubourg
Copy link
Contributor Author

dubourg commented Oct 19, 2016

yep, will do!

@dubourg
Copy link
Contributor Author

dubourg commented Oct 20, 2016

@jreback done!

@jreback jreback added this to the 0.19.1 milestone Oct 20, 2016
@jreback jreback merged commit 0b6946b into pandas-dev:master Oct 20, 2016
@jreback
Copy link
Contributor

jreback commented Oct 20, 2016

thanks @dubourg

@dubourg dubourg deleted the fix-14438 branch October 20, 2016 12:50
tworec pushed a commit to RTBHOUSE/pandas that referenced this pull request Oct 21, 2016
jorisvandenbossche pushed a commit that referenced this pull request Nov 1, 2016
…s in _factorize_from_iterables (fixes #14438)

(cherry picked from commit 0b6946b)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Bug Reshaping Concat, Merge/Join, Stack/Unstack, Explode
Projects
None yet
Development

Successfully merging this pull request may close these issues.

BUG: concat with dataframes heterogeneous in length and tuple keys
3 participants