Code Sample, a copy-pastable example if possible
import pandas as pd
index = pd.timedelta_range('0', periods=4, freq='s')
series = pd.Series(range(4), index=index)
print series
print series.resample('2s', label='left').sum()
print series.resample('2s', label='right').sum()
print series.resample('2s', label='right', closed='right').sum()
The output
00:00:00 0
00:00:01 1
00:00:02 2
00:00:03 3
Freq: S, dtype: int64
00:00:00 1
00:00:02 5
Freq: 2S, dtype: int64
00:00:00 1
00:00:02 5
Freq: 2S, dtype: int64
00:00:00 1
00:00:02 5
Freq: 2S, dtype: int64
Problem description
When calling the function resample with a DatetimeIndex works as expected. However, if called with a TimedeltaIndex the options label and closed does not work.
Expected Output
00:00:00 0
00:00:01 1
00:00:02 2
00:00:03 3
Freq: S, dtype: int64
00:00:00 1
00:00:02 5
Freq: 2S, dtype: int64
00:00:02 1
00:00:04 5
Freq: 2S, dtype: int64
00:00:00 0
00:00:02 3
00:00:04 3
Freq: 2S, dtype: int64
Output of pd.show_versions()
# Paste the output here pd.show_versions() here
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.6.final.0
python-bits: 64
OS: Linux
OS-release: 3.19.0-74-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_GB.UTF-8
LOCALE: None.None
pandas: 0.19.2
nose: 1.3.1
pip: 9.0.1
setuptools: 28.8.0
Cython: 0.24.1
numpy: 1.12.0
scipy: 0.18.1
statsmodels: 0.5.0
xarray: None
IPython: 4.1.2
sphinx: 1.4.6
patsy: 0.4.1
dateutil: 2.6.0
pytz: 2016.10
blosc: None
bottleneck: None
tables: 3.1.1
numexpr: 2.2.2
matplotlib: 1.5.3
openpyxl: 1.7.0
xlrd: 0.9.2
xlwt: 0.7.5
xlsxwriter: None
lxml: None
bs4: 4.2.1
html5lib: 0.999
httplib2: 0.8
apiclient: None
sqlalchemy: None
pymysql: None
psycopg2: 2.4.5 (dt dec mx pq3 ext)
jinja2: 2.8
boto: None
pandas_datareader: None
Comment From: jreback
this is a duplicate of #13022
PR's are welcome if you want to debug.