Skip to content
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: fix replace bug where different dtypes in a nested dict would only replace the first value #6820

Merged
merged 1 commit into from
Apr 8, 2014
Merged

Conversation

cpcloud
Copy link
Member

@cpcloud cpcloud commented Apr 6, 2014

closes #6689

@jreback jreback added this to the 0.14.0 milestone Apr 6, 2014
@jreback
Copy link
Contributor

jreback commented Apr 6, 2014

ok

merge the plot issue fix first

@cpcloud
Copy link
Member Author

cpcloud commented Apr 6, 2014

going to add a release note

@cpcloud cpcloud self-assigned this Apr 6, 2014
@cpcloud
Copy link
Member Author

cpcloud commented Apr 8, 2014

@jreback merging on next pass .. ok w/ you?

@jreback
Copy link
Contributor

jreback commented Apr 8, 2014

yep

cpcloud added a commit that referenced this pull request Apr 8, 2014
BUG: fix replace bug where different dtypes in a nested dict would only replace the first value
@cpcloud cpcloud merged commit 0cc3677 into pandas-dev:master Apr 8, 2014
@cpcloud cpcloud deleted the replace-dtype-bool-fix branch April 8, 2014 22:55
@l3miage-serzhann
Copy link

closes #6689

Hello,I ve got the same problem how did u fix it?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Bug Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate
Projects
None yet
Development

Successfully merging this pull request may close these issues.

DataFrame.replace only replaces the first occurrence of replacement pattern
3 participants