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TST: tests for outputing ambiguous times, #11619, fixed already in #11301 #11641

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Merged
merged 1 commit into from
Nov 18, 2015
Merged

TST: tests for outputing ambiguous times, #11619, fixed already in #11301 #11641

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1 change: 1 addition & 0 deletions doc/source/whatsnew/v0.17.1.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -153,6 +153,7 @@ Bug Fixes
- Prevent adding new attributes to the accessors ``.str``, ``.dt`` and ``.cat``. Retrieving such
a value was not possible, so error out on setting it. (:issue:`10673`)
- Bug in tz-conversions with an ambiguous time and ``.dt`` accessors (:issue:`11295`)
- Bug in output formatting when using an index of ambiguous times (:issue:`11619`)
- Bug in comparisons of Series vs list-likes (:issue:`11339`)
- Bug in ``DataFrame.replace`` with a ``datetime64[ns, tz]`` and a non-compat to_replace (:issue:`11326`, :issue:`11153`)
- Bug in list-like indexing with a mixed-integer Index (:issue:`11320`)
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23 changes: 21 additions & 2 deletions pandas/tests/test_frame.py
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Expand Up @@ -15449,8 +15449,8 @@ def test_to_csv_date_format(self):
assert_frame_equal(test, nat_frame)

def test_to_csv_with_dst_transitions(self):
pname = '__tmp_to_csv_date_format_with_dst__'
with ensure_clean(pname) as path:

with ensure_clean('csv_date_format_with_dst') as path:
# make sure we are not failing on transitions
times = pd.date_range("2013-10-26 23:00", "2013-10-27 01:00",
tz="Europe/London",
Expand All @@ -15468,6 +15468,25 @@ def test_to_csv_with_dst_transitions(self):
result.index = pd.to_datetime(result.index).tz_localize('UTC').tz_convert('Europe/London')
assert_frame_equal(result,df)

# GH11619
idx = pd.date_range('2015-01-01', '2015-12-31', freq = 'H', tz='Europe/Paris')
df = DataFrame({'values' : 1, 'idx' : idx},
index=idx)
with ensure_clean('csv_date_format_with_dst') as path:
df.to_csv(path,index=True)
result = read_csv(path,index_col=0)
result.index = pd.to_datetime(result.index).tz_localize('UTC').tz_convert('Europe/Paris')
result['idx'] = pd.to_datetime(result['idx']).astype('datetime64[ns, Europe/Paris]')
assert_frame_equal(result,df)

# assert working
df.astype(str)

with ensure_clean('csv_date_format_with_dst') as path:
df.to_pickle(path)
result = pd.read_pickle(path)
assert_frame_equal(result,df)


def test_concat_empty_dataframe_dtypes(self):
df = DataFrame(columns=list("abc"))
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