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The label offset loffset has no effect when resampling a Series using .count():
loffset
.count()
>>> import pandas as pd >>> import numpy as np >>> rng = pd.date_range('1/1/2012', periods=100, freq='S') >>> ts = pd.Series(np.ones(len(rng)), index=rng) >>> ts.resample('10S', loffset='1s').mean() #Works as expected, labels are offset by 1s 2012-01-01 00:00:01 1.0 2012-01-01 00:00:11 1.0 2012-01-01 00:00:21 1.0 2012-01-01 00:00:31 1.0 2012-01-01 00:00:41 1.0 2012-01-01 00:00:51 1.0 2012-01-01 00:01:01 1.0 2012-01-01 00:01:11 1.0 2012-01-01 00:01:21 1.0 2012-01-01 00:01:31 1.0 Freq: 10S, dtype: float64 >>> ts.resample('10S', loffset='1s').count() #loffset has no effect 2012-01-01 00:00:00 10 2012-01-01 00:00:10 10 2012-01-01 00:00:20 10 2012-01-01 00:00:30 10 2012-01-01 00:00:40 10 2012-01-01 00:00:50 10 2012-01-01 00:01:00 10 2012-01-01 00:01:10 10 2012-01-01 00:01:20 10 2012-01-01 00:01:30 10 Freq: 10S, dtype: int64
INSTALLED VERSIONS ------------------ commit: None python: 2.7.11.final.0 python-bits: 64 OS: Windows OS-release: 7 machine: AMD64 processor: Intel64 Family 6 Model 42 Stepping 7, GenuineIntel byteorder: little LC_ALL: None LANG: None pandas: 0.18.0 nose: 1.3.7 pip: 8.1.1 setuptools: 20.3 Cython: 0.23.4 numpy: 1.10.4 scipy: 0.17.0 statsmodels: 0.6.1 xarray: None IPython: 4.0.1 sphinx: 1.3.1 patsy: 0.4.0 dateutil: 2.5.1 pytz: 2016.2 blosc: None bottleneck: 1.0.0 tables: 3.2.2 numexpr: 2.4.4 matplotlib: 1.5.0 openpyxl: 2.2.6 xlrd: 0.9.4 xlwt: 1.0.0 xlsxwriter: 0.7.7 lxml: 3.4.4 bs4: 4.4.1 html5lib: None httplib2: None apiclient: None sqlalchemy: 1.0.9 pymysql: None psycopg2: None jinja2: 2.8 boto: 2.38.0
The text was updated successfully, but these errors were encountered:
prob a bug in the transfer of the impl and not being fully tested - pull requests to fix welcome! (should be easy fix)
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b6959c8
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The label offset
loffset
has no effect when resampling a Series using.count()
:The text was updated successfully, but these errors were encountered: