def test_power_duration_curve(self):
power = pd.Series([100] * 120 + ([300] * 60 + [100] * 60) * 4 + [100] * 60)
rv = mean_max(power)
assert rv[0] == 300
assert pytest.approx(rv[-1], 172.8)
assert not pd.Series(rv).is_monotonic
rv = mean_max(power, monotonic=True)
assert rv[0] == 300
assert pytest.approx(rv[-1], 172.8)
s = pd.Series(rv)
assert s.sort_index(ascending=False).is_monotonic
def test_power_duration_curve(self):
power = np.arange(101)
rv = mean_max(power)
assert rv[0] == 100.0
assert rv[49] == 75.5
assert rv[-1] == 50.5
def test_power_duration_curve_series(self):
stream = pd.Series(np.zeros(3))
expected = pd.Series(np.zeros(2))
rv = mean_max(stream)
assert type(rv) == pd.Series
assert (rv == expected).all()
def test_power_duration_curve_ndarray(self):
stream = np.zeros(3)
expected = np.zeros(2)
rv = mean_max(stream)
assert type(rv) == np.ndarray
assert (rv == expected).all()
def test_power_duration_curve_list(self):
stream = [0, 0, 0]
expected = [0, 0]
rv = mean_max(stream)
assert type(rv) == list
assert rv == expected
def compute_mean_max_power(self):
return core.mean_max(self.power)