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isolate scalar Timestamp tests from date_range tests #17957

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Oct 27, 2017
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104 changes: 62 additions & 42 deletions pandas/tests/scalar/test_timestamp.py
Original file line number Diff line number Diff line change
Expand Up @@ -969,35 +969,6 @@ def test_delta_preserve_nanos(self):
result = val + timedelta(1)
assert result.nanosecond == val.nanosecond

def test_frequency_misc(self):
assert (frequencies.get_freq_group('T') ==
frequencies.FreqGroup.FR_MIN)

code, stride = frequencies.get_freq_code(offsets.Hour())
assert code == frequencies.FreqGroup.FR_HR

code, stride = frequencies.get_freq_code((5, 'T'))
assert code == frequencies.FreqGroup.FR_MIN
assert stride == 5

offset = offsets.Hour()
result = frequencies.to_offset(offset)
assert result == offset

result = frequencies.to_offset((5, 'T'))
expected = offsets.Minute(5)
assert result == expected

pytest.raises(ValueError, frequencies.get_freq_code, (5, 'baz'))

pytest.raises(ValueError, frequencies.to_offset, '100foo')

pytest.raises(ValueError, frequencies.to_offset, ('', ''))

with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
result = frequencies.get_standard_freq(offsets.Hour())
assert result == 'H'

def test_hash_equivalent(self):
d = {datetime(2011, 1, 1): 5}
stamp = Timestamp(datetime(2011, 1, 1))
Expand Down Expand Up @@ -1268,26 +1239,19 @@ def test_compare_hour13(self):
class TestTimeSeries(object):

def test_timestamp_to_datetime(self):
rng = date_range('20090415', '20090519', tz='US/Eastern')

stamp = rng[0]
stamp = Timestamp('20090415', tz='US/Eastern', freq='D')
dtval = stamp.to_pydatetime()
assert stamp == dtval
assert stamp.tzinfo == dtval.tzinfo

def test_timestamp_to_datetime_dateutil(self):
rng = date_range('20090415', '20090519', tz='dateutil/US/Eastern')

stamp = rng[0]
stamp = Timestamp('20090415', tz='dateutil/US/Eastern', freq='D')
dtval = stamp.to_pydatetime()
assert stamp == dtval
assert stamp.tzinfo == dtval.tzinfo

def test_timestamp_to_datetime_explicit_pytz(self):
rng = date_range('20090415', '20090519',
tz=pytz.timezone('US/Eastern'))

stamp = rng[0]
stamp = Timestamp('20090415', tz=pytz.timezone('US/Eastern'), freq='D')
dtval = stamp.to_pydatetime()
assert stamp == dtval
assert stamp.tzinfo == dtval.tzinfo
Expand All @@ -1296,9 +1260,7 @@ def test_timestamp_to_datetime_explicit_dateutil(self):
tm._skip_if_windows_python_3()

from pandas._libs.tslibs.timezones import dateutil_gettz as gettz
rng = date_range('20090415', '20090519', tz=gettz('US/Eastern'))

stamp = rng[0]
stamp = Timestamp('20090415', tz=gettz('US/Eastern'), freq='D')
dtval = stamp.to_pydatetime()
assert stamp == dtval
assert stamp.tzinfo == dtval.tzinfo
Expand Down Expand Up @@ -1494,3 +1456,61 @@ def test_to_datetime_bijective(self):
with tm.assert_produces_warning(exp_warning, check_stacklevel=False):
assert (Timestamp(Timestamp.min.to_pydatetime()).value / 1000 ==
Timestamp.min.value / 1000)


class TestTimestampEquivDateRange(object):
# Older tests in TestTimeSeries constructed their `stamp` objects
# using `date_range` instead of the `Timestamp` constructor.
# TestTimestampEquivDateRange checks that these are equivalent in the
# pertinent cases.

def test_date_range_timestamp_equiv(self):
rng = date_range('20090415', '20090519', tz='US/Eastern')
stamp = rng[0]
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Given that you use this construct several times across tests (i.e. rng = date_range(...)[0]), you might want to consider making that a separate method.

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Given the large number of irons in the fire at the moment, would you be OK with these comments going into #17652 and being addressed in a follow-up?

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@jbrockmendel : I would prefer to make a push to refactor now, as this is a reorganization PR after all. Save it in the end as a last commit to this PR.

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I would prefer to make a push to refactor now, as this is a reorganization PR after all. Save it in the end as a last commit to this PR.

Alright, let's wrap this thing up! Thanks for taking the time to review.

Given that you use this construct several times across tests (i.e. rng = date_range(...)[0]), you might want to consider making that a separate method.

Seems like replacing a 1-line function call with a 1-line method call doesn't really gain anything, no?


ts = Timestamp('20090415', tz='US/Eastern', freq='D')
assert ts == stamp

def test_date_range_timestamp_equiv_dateutil(self):
rng = date_range('20090415', '20090519', tz='dateutil/US/Eastern')
stamp = rng[0]

ts = Timestamp('20090415', tz='dateutil/US/Eastern', freq='D')
assert ts == stamp

def test_date_range_timestamp_equiv_explicit_pytz(self):
rng = date_range('20090415', '20090519',
tz=pytz.timezone('US/Eastern'))
stamp = rng[0]

ts = Timestamp('20090415', tz=pytz.timezone('US/Eastern'), freq='D')
assert ts == stamp

def test_date_range_timestamp_equiv_explicit_dateutil(self):
tm._skip_if_windows_python_3()
from pandas._libs.tslibs.timezones import dateutil_gettz as gettz

rng = date_range('20090415', '20090519', tz=gettz('US/Eastern'))
stamp = rng[0]

ts = Timestamp('20090415', tz=gettz('US/Eastern'), freq='D')
assert ts == stamp

def test_date_range_timestamp_equiv_from_datetime_instance(self):
# This test refers to TestTimestampOps.test_addition_subtraction_types
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Not sure if comments like these are necessary.

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Will remove.

datetime_instance = datetime(2014, 3, 4)
# build a timestamp with a frequency, since then it supports
# addition/subtraction of integers
timestamp_instance = date_range(datetime_instance, periods=1,
freq='D')[0]

ts = Timestamp(datetime_instance, freq='D')
assert ts == timestamp_instance

def test_date_range_timestamp_equiv_preserve_frequency(self):
# This test refers to
# TestTimestampOps.test_addition_subtraction_preserve_frequency
timestamp_instance = date_range('2014-03-05', periods=1, freq='D')[0]
ts = Timestamp('2014-03-05', freq='D')

assert timestamp_instance == ts
29 changes: 29 additions & 0 deletions pandas/tests/tseries/test_frequencies.py
Original file line number Diff line number Diff line change
Expand Up @@ -509,6 +509,35 @@ def test_get_freq_code(self):
assert (frequencies.get_freq_code(offsets.Week(-2, weekday=4)) ==
(frequencies.get_freq('W-FRI'), -2))

def test_frequency_misc(self):
assert (frequencies.get_freq_group('T') ==
frequencies.FreqGroup.FR_MIN)

code, stride = frequencies.get_freq_code(offsets.Hour())
assert code == frequencies.FreqGroup.FR_HR

code, stride = frequencies.get_freq_code((5, 'T'))
assert code == frequencies.FreqGroup.FR_MIN
assert stride == 5

offset = offsets.Hour()
result = frequencies.to_offset(offset)
assert result == offset

result = frequencies.to_offset((5, 'T'))
expected = offsets.Minute(5)
assert result == expected

pytest.raises(ValueError, frequencies.get_freq_code, (5, 'baz'))

pytest.raises(ValueError, frequencies.to_offset, '100foo')

pytest.raises(ValueError, frequencies.to_offset, ('', ''))
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What are the error messages when you make these method calls? I would consider using tm.assert_raises_regex so that we can check the error message if necessary.

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No idea. This is just cut/paste from test_timestamp.

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Gotcha. Run these lines of code and see what error messages you get. Then we can see whether we should check the message in the test.

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Done, pushing updated...


with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
result = frequencies.get_standard_freq(offsets.Hour())
assert result == 'H'


_dti = DatetimeIndex

Expand Down