def test_360_day_calendar_nd_CalendarDateTime(self):
# Test the case where the input is an nd-array.
calendar = '360_day'
unit = 'days since 2000-01-01'
val = np.array(
[[CalendarDateTime(cftime.datetime(2014, 8, 12), calendar)],
[CalendarDateTime(cftime.datetime(2014, 8, 13), calendar)]])
result = NetCDFTimeConverter().default_units(val, None)
self.assertEqual(result, (calendar, unit, CalendarDateTime))
def test_nonequal_calendars(self):
# Test that different supplied calendars causes an error.
calendar_1 = '360_day'
calendar_2 = '365_day'
unit = 'days since 2000-01-01'
val = [CalendarDateTime(netcdftime.datetime(2014, 8, 12), calendar_1),
CalendarDateTime(netcdftime.datetime(2014, 8, 13), calendar_2)]
with self.assertRaisesRegexp(ValueError, 'not all equal'):
NetCDFTimeConverter().default_units(val, None)
def convert(cls, value, unit, axis):
if not nc_axis_available:
raise ValueError('In order to display cftime types with '
'matplotlib install the nc_time_axis '
'library using pip or from conda-forge '
'using:\n\tconda install -c conda-forge '
'nc_time_axis')
if isinstance(value, cftime_types):
value = CalendarDateTime(value.datetime, value.calendar)
elif isinstance(value, np.ndarray):
value = np.array([CalendarDateTime(v.datetime, v.calendar) for v in value])
return super(CFTimeConverter, cls).convert(value, unit, axis)
def test_axis_default_limits(self):
cal = '360_day'
unit = (cal, 'days since 2000-02-25 00:00:00')
result = NetCDFTimeConverter().axisinfo(unit, None)
expected_dt = [netcdftime.datetime(2000, 1, 1),
netcdftime.datetime(2010, 1, 1)]
np.testing.assert_array_equal(
result.default_limits,
[CalendarDateTime(edt, cal) for edt in expected_dt])
def test_360_day_calendar(self):
n = 360
calendar = '360_day'
time_unit = Unit('days since 1970-01-01 00:00', calendar=calendar)
time_coord = AuxCoord(np.arange(n), 'time', units=time_unit)
expected_ydata = np.array([
CalendarDateTime(time_unit.num2date(point), calendar)
for point in time_coord.points
])
line1, = iplt.plot(time_coord)
result_ydata = line1.get_ydata()
self.assertArrayEqual(expected_ydata, result_ydata)
def test_360_day_calendar(self):
n = 360
calendar = '360_day'
time_unit = Unit('days since 1970-01-01 00:00', calendar=calendar)
time_coord = AuxCoord(np.arange(n), 'time', units=time_unit)
times = [time_unit.num2date(point) for point in time_coord.points]
times = [netcdftime.datetime(atime.year, atime.month, atime.day,
atime.hour, atime.minute, atime.second)
for atime in times]
expected_ydata = np.array([CalendarDateTime(time, calendar)
for time in times])
line1, = iplt.plot(time_coord)
result_ydata = line1.get_ydata()
self.assertArrayEqual(expected_ydata, result_ydata)
def test_diff_datetime(self):
other_cdt = CalendarDateTime(cftime.datetime(1992, 11, 23, 3, 6),
'360_day')
self.assertTrue(self.cdt != other_cdt)
def test_diff_cal(self):
other_cdt = CalendarDateTime(cftime.datetime(1967, 7, 22, 3, 6),
'365_day')
self.assertTrue(self.cdt != other_cdt)
def setUp(self):
self.cdt = CalendarDateTime(cftime.datetime(1967, 7, 22, 3, 6),
'360_day')
def test_non_netcdftime_datetime(self):
val = CalendarDateTime(4, '360_day')
msg = 'The datetime attribute of the CalendarDateTime object must ' \
'be of type `netcdftime.datetime`.'
with self.assertRaisesRegexp(ValueError, msg):
result = NetCDFTimeConverter().convert(val, None, None)
def test_netcdftime_np_array(self):
val = np.array([CalendarDateTime(netcdftime.datetime(2012, 6, 4),
'360_day')], dtype=np.object)
result = NetCDFTimeConverter().convert(val, None, None)
self.assertEqual(result, np.array([4473.]))
def test_netcdftime(self):
val = CalendarDateTime(netcdftime.datetime(2014, 8, 12), '365_day')
result = NetCDFTimeConverter().convert(val, None, None)
np.testing.assert_array_equal(result, 5333.)
def test_360_day_calendar_list(self):
calendar = '360_day'
unit = 'days since 2000-01-01'
val = [CalendarDateTime(netcdftime.datetime(2014, 8, 12), calendar)]
result = NetCDFTimeConverter().default_units(val, None)
self.assertEqual(result, (calendar, unit))
def test_360_day_calendar_point_CalendarDateTime(self):
calendar = '360_day'
unit = 'days since 2000-01-01'
val = CalendarDateTime(cftime.datetime(2014, 8, 12), calendar)
result = NetCDFTimeConverter().default_units(val, None)
self.assertEqual(result, (calendar, unit, CalendarDateTime))
def test_diff_datetime(self):
other_cdt = CalendarDateTime(netcdftime.datetime(1992, 11, 23, 3, 6),
'360_day')
self.assertFalse(self.cdt == other_cdt)
def test_diff_cal(self):
other_cdt = CalendarDateTime(netcdftime.datetime(1967, 7, 22, 3, 6),
'365_day')
self.assertFalse(self.cdt == other_cdt)