def test_compare_estimates_many(self, caretaker_multi):
Visualization.compare_estimates_many(
parameter_collections={_p : [10]*3 for _p in StaticHelpers.unknowns},
measurements=StaticHelpers.data_multi,
caretaker=caretaker_multi,
show_measurements_only=True,
)
def test_compare_estimates(self, caretaker_single, measurements):
Visualization.compare_estimates(
parameters={_p: 10
for _p in StaticHelpers.unknowns},
measurements=measurements,
caretaker=caretaker_single,
)
def test_show_parameter_distributions(self, estimates):
Visualization.show_parameter_distributions(
parameter_collections={
'p1' : [1, 2, 3],
'p2' : [4, 5, 6]
},
estimates=estimates,
)
def test_compare_estimates_many(self, caretaker, data,
show_measurements_only, request):
caretaker = request.getfixturevalue(caretaker)
Visualization.compare_estimates_many(
parameter_collections={
_p: [10] * 3
for _p in StaticHelpers.unknowns
},
measurements=data,
caretaker=caretaker,
show_measurements_only=show_measurements_only,
)
def test_show_kinetic_data_many(self, time_series):
figsax = Visualization.show_kinetic_data_many(time_series=time_series)
for _key in figsax:
for _line in figsax[_key][1][0].lines:
for _value in _line._y:
assert _value == 10 or np.isnan(_value)
def test_show_kinetic_data(self, measurements):
Visualization.show_kinetic_data(time_series=measurements)