BUG: Fix to_dict() problem when using datetime DataFrame #11247 by ethanluoyc · Pull Request #11327 · pandas-dev/pandas (original) (raw)
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closes #11247
This is my first time contributing through PR so forgive me if I make any silly mistake.
The issue can be referred to in GH11247
I followed @jreback 's suggestion to box things up in to_dict()
but I am not sure if this is what he means because I do not know exactly when _maybe_datetime()
should be used. Initially I tried to tweak internals.py
but it fails.
Let me know how I can improve from here. Hope I can really learn from my first PR.
I think I forgot to fetch to update my local master before my first commit to this PR. Somehow I messed up is it true?
add tests! (ideally for each one of the orients if we dont' have already).
which test case shall I add in? I am new to this :)
On 15 Oct 2015, at 2:50 AM, Jeff Reback notifications@github.com wrote:
add tests! (ideally for each one of the orients if we dont' have already).
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Reply to this email directly or view it on GitHub #11327 (comment).
def test_to_dict_timestamp(self): |
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# GH11247 |
tsmp = Timestamp('20130101') |
test_data = DataFrame({'A': [tsmp, tsmp], 'B': [tsmp, tsmp]}) |
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can you make this a mixed frame ,e.g. add a float and a string say. obviously need to adjust the tests as well.
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I adjusted the tests and now it tests both mixed and single dtypes
pls add a whatsnew note for 0.17.1 in bug fixes
Just asking what I should do if I merge updates locally with my branch and need to merge the 2 commits into one..
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On Fri, Oct 16, 2015 at 6:25 AM, Jeff Reback notifications@github.com
wrote:
pls add a whatsnew note for 0.17.1 in bug fixes
Reply to this email directly or view it on GitHub:
#11327 (comment)
Fix a bug where to_dict() does not return Timestamp when there is only datetime dtype present.
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