def test_ver_sec_subsamp(od_in, subsampMethod):
cutout_kwargs = {'timeRange': [od_in.dataset['time'][0].values,
od_in.dataset['time'][-1].values]}
plt.close()
fig, ax = plt.subplots(1, 1)
if subsampMethod in ['error', None]:
with pytest.raises(ValueError):
vertical_section(od_in, varName='Temp',
meanAxes=True, cutout_kwargs=cutout_kwargs,
subsampMethod=subsampMethod)
else:
if subsampMethod == 'mooring_array':
Xmoor = [od_in.dataset['XC'].min().values,
od_in.dataset['XC'].max().values]
Ymoor = [od_in.dataset['YC'].min().values,
od_in.dataset['YC'].max().values]
subsamp_kwargs = {'Xmoor': Xmoor, 'Ymoor': Ymoor}
use_dist = False
else:
Xsurv = [od_in.dataset['XC'].min().values,
od_in.dataset['XC'].mean().values,
od_in.dataset['XC'].max().values]
Ysurv = [od_in.dataset['YC'].min().values,
od_in.dataset['YC'].mean().values,
od_in.dataset['YC'].max().values]
subsamp_kwargs = {'Xsurv': Xsurv, 'Ysurv': Ysurv}
use_dist = True
ax = vertical_section(od_in, varName='Temp',
ax=ax,
meanAxes=True, cutout_kwargs=cutout_kwargs,
subsampMethod=subsampMethod,
subsamp_kwargs=subsamp_kwargs,
use_dist=use_dist)
assert isinstance(ax, plt.Axes)
def test_ver_facet(od_in, contourName):
od_in = od_in.compute.weighted_mean(varNameList="Temp", axesList="time")
plt.close()
if contourName == "Depth":
with pytest.raises(ValueError):
ax = vertical_section(od_in, varName="Temp", contourName=contourName)
else:
ax = vertical_section(od_in, varName="Temp", contourName=contourName)
assert isinstance(ax, xr.plot.FacetGrid)
def test_ver_sec_subsamp(od_in, subsampMethod):
cutout_kwargs = {
"timeRange":
[od_in.dataset["time"][0].values, od_in.dataset["time"][-1].values]
}
contour_kwargs = {"levels": 10, "cmap": "viridis"}
plt.close()
fig, ax = plt.subplots(1, 1)
if subsampMethod in ["error", None]:
with pytest.raises(ValueError):
vertical_section(
od_in,
varName="Temp",
meanAxes=True,
cutout_kwargs=cutout_kwargs,
subsampMethod=subsampMethod,
)
else:
if subsampMethod == "mooring_array":
Xmoor = [
od_in.dataset["XC"].min().values,
od_in.dataset["XC"].max().values
]
Ymoor = [
od_in.dataset["YC"].min().values,
od_in.dataset["YC"].max().values
]
subsamp_kwargs = {"Xmoor": Xmoor, "Ymoor": Ymoor}
use_dist = False
else:
Xsurv = [
od_in.dataset["XC"].min().values,
od_in.dataset["XC"].mean().values,
od_in.dataset["XC"].max().values,
]
Ysurv = [
od_in.dataset["YC"].min().values,
od_in.dataset["YC"].mean().values,
od_in.dataset["YC"].max().values,
]
subsamp_kwargs = {"Xsurv": Xsurv, "Ysurv": Ysurv}
use_dist = True
ax = vertical_section(
od_in,
varName="Temp",
ax=ax,
meanAxes=True,
cutout_kwargs=cutout_kwargs,
subsampMethod=subsampMethod,
subsamp_kwargs=subsamp_kwargs,
use_dist=use_dist,
contour_kwargs=contour_kwargs,
)
assert isinstance(ax, plt.Axes)
def test_ver_sec(od_in, varName, contourName):
plt.close()
if "mooring_dist" in od_in.dataset.variables:
ds = od_in.dataset.drop_vars("mooring_dist")
od_in = OceanDataset(ds)
contour_kwargs = {"levels": 10}
clabel_kwargs = {"fontsize": 10}
meanAxes = True
intAxes = False
else:
contour_kwargs = None
clabel_kwargs = None
meanAxes = False
intAxes = True
ax = vertical_section(
od_in,
varName=varName,
contourName=contourName,
meanAxes=meanAxes,
intAxes=intAxes,
contour_kwargs=contour_kwargs,
clabel_kwargs=clabel_kwargs,
)
assert isinstance(ax, plt.Axes)
def test_ver_sec_error(od_in):
od_in = od_in.compute.weighted_mean(varNameList="Temp")
with pytest.raises(ValueError):
vertical_section(od_in, varName="Temp", contourName="w_mean_Temp")
