Skip to content

Conversation

@chris-b1
Copy link
Contributor

follow up to fix warnings in #11263 (comment)

@jreback jreback added the Compat pandas objects compatability with Numpy or Python functions label Oct 21, 2015
@jreback jreback added this to the 0.17.1 milestone Oct 21, 2015
@jreback
Copy link
Contributor

jreback commented Oct 21, 2015

gr8. ping on green.

@chris-b1 chris-b1 closed this Oct 22, 2015
@chris-b1 chris-b1 reopened this Oct 22, 2015
@chris-b1 chris-b1 closed this Oct 22, 2015
@chris-b1 chris-b1 reopened this Oct 22, 2015
@jreback
Copy link
Contributor

jreback commented Oct 23, 2015

rebase/repush as conda had some issues

@chris-b1
Copy link
Contributor Author

@jreback - this is passing now

jreback added a commit that referenced this pull request Oct 24, 2015
CLN: period boundscheck warnings
@jreback jreback merged commit 809024f into pandas-dev:master Oct 24, 2015
@jreback
Copy link
Contributor

jreback commented Oct 24, 2015

thanks!

@chris-b1 chris-b1 deleted the ts-gil-warnings branch October 24, 2015 20:40
@jreback
Copy link
Contributor

jreback commented Oct 25, 2015

@chris-b1 if you'd do one more ....thanks!

cythoning pandas/tslib.pyx to pandas/tslib.c
warning: pandas/tslib.pyx:4257:25: Use boundscheck(False) for faster access
warning: pandas/tslib.pyx:4258:26: Use boundscheck(False) for faster access
warning: pandas/tslib.pyx:4260:56: Use boundscheck(False) for faster access
warning: pandas/tslib.pyx:4261:22: Use boundscheck(False) for faster access
warning: pandas/tslib.pyx:4275:25: Use boundscheck(False) for faster access
warning: pandas/tslib.pyx:4276:26: Use boundscheck(False) for faster access
warning: pandas/tslib.pyx:4278:56: Use boundscheck(False) for faster access
warning: pandas/tslib.pyx:4279:22: Use boundscheck(False) for faster access

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

Compat pandas objects compatability with Numpy or Python functions

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants