def test_datetime_name_accessors(self, time_locale):
# Test Monday -> Sunday and January -> December, in that sequence
if time_locale is None:
# If the time_locale is None, day-name and month_name should
# return the english attributes
expected_days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday',
'Friday', 'Saturday', 'Sunday']
expected_months = ['January', 'February', 'March', 'April', 'May',
'June', 'July', 'August', 'September',
'October', 'November', 'December']
else:
with tm.set_locale(time_locale, locale.LC_TIME):
expected_days = calendar.day_name[:]
expected_months = calendar.month_name[1:]
# GH 11128
dti = DatetimeIndex(freq='D', start=datetime(1998, 1, 1),
periods=365)
english_days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday',
'Friday', 'Saturday', 'Sunday']
for day, name, eng_name in zip(range(4, 11),
expected_days,
english_days):
name = name.capitalize()
assert dti.weekday_name[day] == eng_name
assert dti.day_name(locale=time_locale)[day] == name
ts = Timestamp(datetime(2016, 4, day))
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
assert ts.weekday_name == eng_name
assert ts.day_name(locale=time_locale) == name
dti = dti.append(DatetimeIndex([pd.NaT]))
assert np.isnan(dti.day_name(locale=time_locale)[-1])
ts = Timestamp(pd.NaT)
assert np.isnan(ts.day_name(locale=time_locale))
# GH 12805
dti = DatetimeIndex(freq='M', start='2012', end='2013')
result = dti.month_name(locale=time_locale)
expected = Index([month.capitalize() for month in expected_months])
# work around different normalization schemes
# https://github.com/pandas-dev/pandas/issues/22342
if not compat.PY2:
result = result.str.normalize("NFD")
expected = expected.str.normalize("NFD")
tm.assert_index_equal(result, expected)
for date, expected in zip(dti, expected_months):
result = date.month_name(locale=time_locale)
expected = expected.capitalize()
if not compat.PY2:
result = unicodedata.normalize("NFD", result)
expected = unicodedata.normalize("NFD", result)
assert result == expected
dti = dti.append(DatetimeIndex([pd.NaT]))
assert np.isnan(dti.month_name(locale=time_locale)[-1])
def test_datetime_name_accessors(self, time_locale):
# Test Monday -> Sunday and January -> December, in that sequence
if time_locale is None:
# If the time_locale is None, day-name and month_name should
# return the english attributes
expected_days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday',
'Friday', 'Saturday', 'Sunday']
expected_months = ['January', 'February', 'March', 'April', 'May',
'June', 'July', 'August', 'September',
'October', 'November', 'December']
else:
with tm.set_locale(time_locale, locale.LC_TIME):
expected_days = calendar.day_name[:]
expected_months = calendar.month_name[1:]
# GH#11128
dti = pd.date_range(freq='D', start=datetime(1998, 1, 1),
periods=365)
english_days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday',
'Friday', 'Saturday', 'Sunday']
for day, name, eng_name in zip(range(4, 11),
expected_days,
english_days):
name = name.capitalize()
assert dti.weekday_name[day] == eng_name
assert dti.day_name(locale=time_locale)[day] == name
ts = Timestamp(datetime(2016, 4, day))
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
assert ts.weekday_name == eng_name
assert ts.day_name(locale=time_locale) == name
dti = dti.append(DatetimeIndex([pd.NaT]))
assert np.isnan(dti.day_name(locale=time_locale)[-1])
ts = Timestamp(pd.NaT)
assert np.isnan(ts.day_name(locale=time_locale))
# GH#12805
dti = pd.date_range(freq='M', start='2012', end='2013')
result = dti.month_name(locale=time_locale)
expected = Index([month.capitalize() for month in expected_months])
# work around different normalization schemes
# https://github.com/pandas-dev/pandas/issues/22342
if not compat.PY2:
result = result.str.normalize("NFD")
expected = expected.str.normalize("NFD")
tm.assert_index_equal(result, expected)
for date, expected in zip(dti, expected_months):
result = date.month_name(locale=time_locale)
expected = expected.capitalize()
if not compat.PY2:
result = unicodedata.normalize("NFD", result)
expected = unicodedata.normalize("NFD", result)
assert result == expected
dti = dti.append(DatetimeIndex([pd.NaT]))
assert np.isnan(dti.month_name(locale=time_locale)[-1])
def test_datetime_name_accessors(self, time_locale):
# Test Monday -> Sunday and January -> December, in that sequence
if time_locale is None:
# If the time_locale is None, day-name and month_name should
# return the english attributes
expected_days = [
'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday',
'Saturday', 'Sunday'
]
expected_months = [
'January', 'February', 'March', 'April', 'May', 'June', 'July',
'August', 'September', 'October', 'November', 'December'
]
else:
with tm.set_locale(time_locale, locale.LC_TIME):
expected_days = calendar.day_name[:]
expected_months = calendar.month_name[1:]
# GH 11128
dti = DatetimeIndex(freq='D', start=datetime(1998, 1, 1), periods=365)
english_days = [
'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday',
'Sunday'
]
for day, name, eng_name in zip(range(4, 11), expected_days,
english_days):
name = name.capitalize()
assert dti.weekday_name[day] == eng_name
assert dti.day_name(locale=time_locale)[day] == name
ts = Timestamp(datetime(2016, 4, day))
assert ts.weekday_name == eng_name
assert ts.day_name(locale=time_locale) == name
dti = dti.append(DatetimeIndex([pd.NaT]))
assert np.isnan(dti.day_name(locale=time_locale)[-1])
ts = Timestamp(pd.NaT)
assert np.isnan(ts.day_name(locale=time_locale))
# GH 12805
dti = DatetimeIndex(freq='M', start='2012', end='2013')
result = dti.month_name(locale=time_locale)
expected = Index([month.capitalize() for month in expected_months])
tm.assert_index_equal(result, expected)
for date, expected in zip(dti, expected_months):
result = date.month_name(locale=time_locale)
assert result == expected.capitalize()
dti = dti.append(DatetimeIndex([pd.NaT]))
assert np.isnan(dti.month_name(locale=time_locale)[-1])
def test_datetime_name_accessors(self, time_locale):
# Test Monday -> Sunday and January -> December, in that sequence
if time_locale is None:
# If the time_locale is None, day-name and month_name should
# return the english attributes
expected_days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday',
'Friday', 'Saturday', 'Sunday']
expected_months = ['January', 'February', 'March', 'April', 'May',
'June', 'July', 'August', 'September',
'October', 'November', 'December']
else:
with tm.set_locale(time_locale, locale.LC_TIME):
expected_days = calendar.day_name[:]
expected_months = calendar.month_name[1:]
# GH 11128
dti = DatetimeIndex(freq='D', start=datetime(1998, 1, 1),
periods=365)
english_days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday',
'Friday', 'Saturday', 'Sunday']
for day, name, eng_name in zip(range(4, 11),
expected_days,
english_days):
name = name.capitalize()
assert dti.weekday_name[day] == eng_name
assert dti.day_name(locale=time_locale)[day] == name
ts = Timestamp(datetime(2016, 4, day))
assert ts.weekday_name == eng_name
assert ts.day_name(locale=time_locale) == name
dti = dti.append(DatetimeIndex([pd.NaT]))
assert np.isnan(dti.day_name(locale=time_locale)[-1])
ts = Timestamp(pd.NaT)
assert np.isnan(ts.day_name(locale=time_locale))
# GH 12805
dti = DatetimeIndex(freq='M', start='2012', end='2013')
result = dti.month_name(locale=time_locale)
expected = Index([month.capitalize() for month in expected_months])
tm.assert_index_equal(result, expected)
for date, expected in zip(dti, expected_months):
result = date.month_name(locale=time_locale)
assert result == expected.capitalize()
dti = dti.append(DatetimeIndex([pd.NaT]))
assert np.isnan(dti.month_name(locale=time_locale)[-1])
def test_datetime_name_accessors(self, time_locale):
# Test Monday -> Sunday and January -> December, in that sequence
if time_locale is None:
# If the time_locale is None, day-name and month_name should
# return the english attributes
expected_days = [
"Monday",
"Tuesday",
"Wednesday",
"Thursday",
"Friday",
"Saturday",
"Sunday",
]
expected_months = [
"January",
"February",
"March",
"April",
"May",
"June",
"July",
"August",
"September",
"October",
"November",
"December",
]
else:
with tm.set_locale(time_locale, locale.LC_TIME):
expected_days = calendar.day_name[:]
expected_months = calendar.month_name[1:]
# GH#11128
dti = date_range(freq="D", start=datetime(1998, 1, 1), periods=365)
english_days = [
"Monday",
"Tuesday",
"Wednesday",
"Thursday",
"Friday",
"Saturday",
"Sunday",
]
for day, name, eng_name in zip(range(4, 11), expected_days, english_days):
name = name.capitalize()
assert dti.day_name(locale=time_locale)[day] == name
assert dti.day_name(locale=None)[day] == eng_name
ts = Timestamp(datetime(2016, 4, day))
assert ts.day_name(locale=time_locale) == name
dti = dti.append(DatetimeIndex([pd.NaT]))
assert np.isnan(dti.day_name(locale=time_locale)[-1])
ts = Timestamp(pd.NaT)
assert np.isnan(ts.day_name(locale=time_locale))
# GH#12805
dti = date_range(freq="M", start="2012", end="2013")
result = dti.month_name(locale=time_locale)
expected = Index([month.capitalize() for month in expected_months])
# work around different normalization schemes
# https://github.com/pandas-dev/pandas/issues/22342
result = result.str.normalize("NFD")
expected = expected.str.normalize("NFD")
tm.assert_index_equal(result, expected)
for date, expected in zip(dti, expected_months):
result = date.month_name(locale=time_locale)
expected = expected.capitalize()
result = unicodedata.normalize("NFD", result)
expected = unicodedata.normalize("NFD", result)
assert result == expected
dti = dti.append(DatetimeIndex([pd.NaT]))
assert np.isnan(dti.month_name(locale=time_locale)[-1])
