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io.data._sanitize_dates behavior vs. docs #2011

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jseabold opened this issue Oct 2, 2012 · 1 comment
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io.data._sanitize_dates behavior vs. docs #2011

jseabold opened this issue Oct 2, 2012 · 1 comment
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@jseabold
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jseabold commented Oct 2, 2012

Docs say default start for DataReader should be 2010-1-1, but it returns 1 year ago from today. I prefer the docs. Thoughts?

>>> from pandas.io.data import _sanitize_dates
>>> _sanitize_dates(None, None)                                                               
(datetime.datetime(2011, 10, 3, 17, 32, 52, 969119),
 datetime.datetime(2012, 10, 2, 17, 32, 52, 969163))
@wesm wesm closed this as completed in 5722a57 Oct 5, 2012
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wesm commented Oct 5, 2012

Agreed

yarikoptic added a commit to neurodebian/pandas that referenced this issue Nov 15, 2012
@yarikoptic
Merge tag 'v0.9.0' into debian
9084be0 
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. close pandas-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, ... close pandas-dev#2000
  TST: make test suite pass cleanly on python 3 with no matplotlib
  BUG: datetime64 formatting issues in DataFrame.to_csv. close pandas-dev#1993
  ...
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