def _group_anomaly(group: xr.Dataset,
ref: xr.Dataset,
monitor: Monitor = Monitor.NONE,
step: float = None):
"""
Calculate anomaly for the given group.
:param group: Result of a groupby('time.month') operation
:param ref: Reference dataset
:param monitor: Monitor of the parent method
:param step: Step to add to monitor progress
:return: Group dataset with anomaly calculation applied
"""
# Retrieve the month of the current group
month = group['time.month'][0].values
ret = diff(group, ref.isel(time=month - 1))
monitor.progress(work=step)
return ret
def _group_anomaly(group: xr.Dataset,
ref: xr.Dataset,
monitor: Monitor = Monitor.NONE,
step: float = None):
"""
Calculate anomaly for the given group.
:param group: Result of a groupby('time.month') operation
:param ref: Reference dataset
:param monitor: Monitor of the parent method
:param step: Step to add to monitor progress
:return: Group dataset with anomaly calculation applied
"""
# Retrieve the month of the current group
month = group['time.month'][0].values
ret = diff(group, ref.isel(time=month - 1))
monitor.progress(work=step)
return ret
def test_diff(self):
# Test nominal
dataset = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'second': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
expected = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'second': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
actual = arithmetics.diff(dataset, dataset * 2)
assert_dataset_equal(expected * -1, actual)
# Test variable mismatch
ds = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'third': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
ds1 = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'second': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
expected = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.zeros([45, 90, 3])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
actual = arithmetics.diff(ds, ds1)
assert_dataset_equal(expected, actual)
actual = arithmetics.diff(ds1, ds)
assert_dataset_equal(expected, actual)
# Test date range mismatch
ds = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 12])),
'second': (['lat', 'lon', 'time'], np.ones([45, 90, 12])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90),
'time': [datetime(2000, x, 1) for x in range(1, 13)]})
ds1 = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 12])),
'second': (['lat', 'lon', 'time'], np.ones([45, 90, 12])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90),
'time': [datetime(2003, x, 1) for x in range(1, 13)]})
expected = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.zeros([45, 90, 12])),
'second': (['lat', 'lon', 'time'], np.zeros([45, 90, 12])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
actual = arithmetics.diff(ds, ds1)
assert_dataset_equal(actual, expected)
actual = arithmetics.diff(ds, ds1.drop('time'))
expected['time'] = [datetime(2000, x, 1) for x in range(1, 13)]
assert_dataset_equal(actual, expected)
# Test broadcasting
ds = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'second': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
ds1 = xr.Dataset({
'first': (['lat', 'lon'], np.ones([45, 90])),
'second': (['lat', 'lon'], np.ones([45, 90])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
expected = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.zeros([45, 90, 3])),
'second': (['lat', 'lon', 'time'], np.zeros([45, 90, 3])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
actual = arithmetics.diff(ds, ds1)
assert_dataset_equal(expected, actual)
ds['time'] = [datetime(2000, x, 1) for x in range(1, 4)]
expected['time'] = [datetime(2000, x, 1) for x in range(1, 4)]
actual = arithmetics.diff(ds, ds1)
assert_dataset_equal(expected, actual)
ds1 = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 1])),
'second': (['lat', 'lon', 'time'], np.ones([45, 90, 1])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90),
'time': [datetime(2001, 1, 1)]})
actual = arithmetics.diff(ds, ds1)
assert_dataset_equal(expected, actual)
ds1 = ds1.squeeze('time')
ds1['time'] = 1
actual = arithmetics.diff(ds, ds1)
assert_dataset_equal(expected, actual)
def test_diff(self):
# Test nominal
dataset = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'second': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
expected = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'second': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
actual = arithmetics.diff(dataset, dataset * 2)
assert_dataset_equal(expected * -1, actual)
# Test variable mismatch
ds = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'third': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
ds1 = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'second': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
expected = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.zeros([45, 90, 3])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
actual = arithmetics.diff(ds, ds1)
assert_dataset_equal(expected, actual)
actual = arithmetics.diff(ds1, ds)
assert_dataset_equal(expected, actual)
# Test date range mismatch
ds = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 12])),
'second': (['lat', 'lon', 'time'], np.ones([45, 90, 12])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90),
'time': [datetime(2000, x, 1) for x in range(1, 13)]})
ds1 = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 12])),
'second': (['lat', 'lon', 'time'], np.ones([45, 90, 12])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90),
'time': [datetime(2003, x, 1) for x in range(1, 13)]})
expected = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.zeros([45, 90, 12])),
'second': (['lat', 'lon', 'time'], np.zeros([45, 90, 12])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
actual = arithmetics.diff(ds, ds1)
assert_dataset_equal(actual, expected)
actual = arithmetics.diff(ds, ds1.drop('time'))
expected['time'] = [datetime(2000, x, 1) for x in range(1, 13)]
assert_dataset_equal(actual, expected)
# Test broadcasting
ds = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'second': (['lat', 'lon', 'time'], np.ones([45, 90, 3])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
ds1 = xr.Dataset({
'first': (['lat', 'lon'], np.ones([45, 90])),
'second': (['lat', 'lon'], np.ones([45, 90])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
expected = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.zeros([45, 90, 3])),
'second': (['lat', 'lon', 'time'], np.zeros([45, 90, 3])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90)})
actual = arithmetics.diff(ds, ds1)
assert_dataset_equal(expected, actual)
ds['time'] = [datetime(2000, x, 1) for x in range(1, 4)]
expected['time'] = [datetime(2000, x, 1) for x in range(1, 4)]
actual = arithmetics.diff(ds, ds1)
assert_dataset_equal(expected, actual)
ds1 = xr.Dataset({
'first': (['lat', 'lon', 'time'], np.ones([45, 90, 1])),
'second': (['lat', 'lon', 'time'], np.ones([45, 90, 1])),
'lat': np.linspace(-88, 88, 45),
'lon': np.linspace(-178, 178, 90),
'time': [datetime(2001, 1, 1)]})
actual = arithmetics.diff(ds, ds1)
assert_dataset_equal(expected, actual)
ds1 = ds1.squeeze('time')
ds1['time'] = 1
actual = arithmetics.diff(ds, ds1)
assert_dataset_equal(expected, actual)
