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Timezone aware Timestamp.dayofyear does not report correct day #13303
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So this is working properly for Pretty straightforward to fix if you'd like to do a PR. Relevant code is
But not working for Timestamps
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mroeschke
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mroeschke
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…dev#13303) Add whatsnew Add tests for datetimeindex and fix Timestamp start/end attributes
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…dev#13303) closes pandas-dev#13303 Previously, calling a date/time attribute with Timestamp that's tz aware (e.g. `Timestamp('...', tz='...').dayofyear`) would return the attribute in UTC instead of the local tz. Author: Matt Roeschke <[email protected]> Closes pandas-dev#15740 from mroeschke/fix_13303 and squashes the following commits: b78b333 [Matt Roeschke] BUG: tz aware Timestamp field accessors returns local values (pandas-dev#13303)
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…dev#13303) closes pandas-dev#13303 Previously, calling a date/time attribute with Timestamp that's tz aware (e.g. `Timestamp('...', tz='...').dayofyear`) would return the attribute in UTC instead of the local tz. Author: Matt Roeschke <[email protected]> Closes pandas-dev#15740 from mroeschke/fix_13303 and squashes the following commits: b78b333 [Matt Roeschke] BUG: tz aware Timestamp field accessors returns local values (pandas-dev#13303)
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Code Sample, a copy-pastable example if possible
Expected Output
I expect the dayofyear to agree with tm_yday, but they do not.
output of
pd.show_versions()
commit: None
python: 2.7.10.final.0
python-bits: 64
OS: Windows
OS-release: 8
machine: AMD64
processor: Intel64 Family 6 Model 61 Stepping 4, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
pandas: 0.16.2
nose: 1.3.7
Cython: 0.22.1
numpy: 1.9.2
scipy: 0.15.1
statsmodels: 0.6.1
IPython: 3.2.0
sphinx: 1.3.1
patsy: 0.3.0
dateutil: 2.4.2
pytz: 2015.4
bottleneck: 1.0.0
tables: 3.2.0
numexpr: 2.4.3
matplotlib: 1.4.3
openpyxl: 1.8.5
xlrd: 0.9.3
xlwt: 1.0.0
xlsxwriter: 0.7.3
lxml: 3.4.4
bs4: 4.3.2
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.0.5
pymysql: None
psycopg2: None
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