Skip to content

concat() drops index when used on series with a PeriodIndex #1815

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

Closed
jmloser opened this issue Aug 27, 2012 · 1 comment
Closed

concat() drops index when used on series with a PeriodIndex #1815

jmloser opened this issue Aug 27, 2012 · 1 comment
Labels
Bug Datetime Datetime data dtype Reshaping Concat, Merge/Join, Stack/Unstack, Explode
Milestone

Comments

@jmloser
Copy link

jmloser commented Aug 27, 2012

New to this, sorry if I'm just missing something...

import numpy as np
import pandas as pd

d1 = pd.date_range('12/31/1990', '12/31/1999', freq='A-DEC')
d2 = pd.date_range('12/31/2000', '12/31/2009', freq='A-DEC')

s1 = pd.Series(np.random.randn(10), d1)
s2 = pd.Series(np.random.randn(10), d2)

# works
pd.concat([s1,s2])

s1 = s1.to_period()
s2 = s2.to_period()

# drops index
pd.concat([s1,s2])

# workaround
pd.concat([s1.to_timestamp(), s2.to_timestamp()]).to_period('A-DEC')
@wesm wesm closed this as completed in f953727 Sep 10, 2012
@wesm
Copy link
Member

wesm commented Sep 10, 2012

Nope. This is a bug-- just pushed a fix. Thanks for the report

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Bug Datetime Datetime data dtype Reshaping Concat, Merge/Join, Stack/Unstack, Explode
Projects
None yet
Development

No branches or pull requests

2 participants