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I noticed this while doing some work where I'm filtering values based on day of year: The dayofyear method of the Timestamp class returns the day of the month, not the day of the year. I realize there are a number of ways to compute this, none of which is very fast, but it could be changed to return the difference, in days, between it's own value and 0000 01 January of the current year.
In pandas/src/datetime.pyx, the problematic code is, starting on line 147/148, in the definition of the function.
The text was updated successfully, but these errors were encountered:
Version 0.9.0
* tag 'v0.9.0': (43 commits)
RLS: Version 0.9.0 final
Fix groupby.median documentation
BUG: need extra slash on windows for file://
BUG: default pandas.io.data start date 1/1/2000 per docs. closepandas-dev#2011
clean up tests
Allow DataFrame.update to accept non DataFrame object and attempt to coerce.
ENH: Use given name for DataFrame column name for FRED API
BLD: quiet tox warning about missing dep
BUG: reset_index fails with MultiIndex in columns pandas-dev#2017
BUG: with_statement in test_console_encode() (3a11f00) broke 2.5 test suite
BUG: dict comprehension in (af3e13c) broke 2.6 test suite
BUG: Timestamp dayofyear returns day of month pandas-dev#2021
BUG: pandas breaks mpl plot_date
DOC: update parsers header, names args doc
BUG: read_csv regression, moved date parsing to before type conversions now so can parse yymmdd hhmm format now pandas-dev#1905
Fix naming of ewmvar and ewmstd in documentation
DOC: whats new for pandas-dev#2000
ENH: change default header names in read_* functions from X.1, X.2, ... to X0, X1, ... closepandas-dev#2000
TST: make test suite pass cleanly on python 3 with no matplotlib
BUG: datetime64 formatting issues in DataFrame.to_csv. closepandas-dev#1993
...
I noticed this while doing some work where I'm filtering values based on day of year: The dayofyear method of the Timestamp class returns the day of the month, not the day of the year. I realize there are a number of ways to compute this, none of which is very fast, but it could be changed to return the difference, in days, between it's own value and 0000 01 January of the current year.
In pandas/src/datetime.pyx, the problematic code is, starting on line 147/148, in the definition of the function.
The text was updated successfully, but these errors were encountered: