本文整理汇总了Python中pvlib.location.Location类的典型用法代码示例。如果您正苦于以下问题：Python Location类的具体用法？Python Location怎么用？Python Location使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了Location类的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_get_airmass_valueerror
def test_get_airmass_valueerror():
tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')
times = pd.DatetimeIndex(start='20160101T0600-0700',
end='20160101T1800-0700',
freq='3H')
with pytest.raises(ValueError):
clearsky = tus.get_airmass(times, model='invalid_model')示例2: test_get_airmass
def test_get_airmass():
tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')
times = pd.DatetimeIndex(start='20160101T0600-0700',
end='20160101T1800-0700',
freq='3H')
airmass = tus.get_airmass(times)
expected = pd.DataFrame(data=np.array(
[[ nan, nan],
[ 3.61046506, 3.32072602],
[ 1.76470864, 1.62309115],
[ 2.45582153, 2.25874238],
[ nan, nan]]),
columns=['airmass_relative', 'airmass_absolute'],
index=times)
assert_frame_equal(expected, airmass)
airmass = tus.get_airmass(times, model='young1994')
expected = pd.DataFrame(data=np.array(
[[ nan, nan],
[ 3.6075018 , 3.31800056],
[ 1.7641033 , 1.62253439],
[ 2.45413091, 2.25718744],
[ nan, nan]]),
columns=['airmass_relative', 'airmass_absolute'],
index=times)
assert_frame_equal(expected, airmass)示例3: test_get_irradiance
def test_get_irradiance():
system = tracking.SingleAxisTracker(max_angle=90, axis_tilt=30,
axis_azimuth=180, gcr=2.0/7.0,
backtrack=True)
times = pd.DatetimeIndex(start='20160101 1200-0700',
end='20160101 1800-0700', freq='6H')
location = Location(latitude=32, longitude=-111)
solar_position = location.get_solarposition(times)
irrads = pd.DataFrame({'dni':[900,0], 'ghi':[600,0], 'dhi':[100,0]},
index=times)
solar_zenith = solar_position['apparent_zenith']
solar_azimuth = solar_position['azimuth']
tracker_data = system.singleaxis(solar_zenith, solar_azimuth)
irradiance = system.get_irradiance(irrads['dni'],
irrads['ghi'],
irrads['dhi'],
solar_zenith=solar_zenith,
solar_azimuth=solar_azimuth,
surface_tilt=tracker_data['surface_tilt'],
surface_azimuth=tracker_data['surface_azimuth'])
expected = pd.DataFrame(data=np.array(
[[ 961.80070, 815.94490, 145.85580, 135.32820,
10.52757492],
[ nan, nan, nan, nan,
nan]]),
columns=['poa_global', 'poa_direct',
'poa_diffuse', 'poa_sky_diffuse',
'poa_ground_diffuse'],
index=times)
assert_frame_equal(irradiance, expected, check_less_precise=2)示例4: test_PVSystem_get_irradiance
def test_PVSystem_get_irradiance():
system = pvsystem.PVSystem(surface_tilt=32, surface_azimuth=135)
times = pd.DatetimeIndex(start='20160101 1200-0700',
end='20160101 1800-0700', freq='6H')
location = Location(latitude=32, longitude=-111)
solar_position = location.get_solarposition(times)
irrads = pd.DataFrame({'dni':[900,0], 'ghi':[600,0], 'dhi':[100,0]},
index=times)
irradiance = system.get_irradiance(solar_position['apparent_zenith'],
solar_position['azimuth'],
irrads['dni'],
irrads['ghi'],
irrads['dhi'])
expected = pd.DataFrame(data=np.array(
[[ 883.65494055, 745.86141676, 137.79352379, 126.397131 ,
11.39639279],
[ 0. , -0. , 0. , 0. , 0. ]]),
columns=['poa_global', 'poa_direct',
'poa_diffuse', 'poa_sky_diffuse',
'poa_ground_diffuse'],
index=times)
irradiance = np.round(irradiance, 4)
expected = np.round(expected, 4)
assert_frame_equal(irradiance, expected)示例5: test_location_print_pytz
def test_location_print_pytz():
tus = Location(32.2, -111, pytz.timezone('US/Arizona'), 700, 'Tucson')
expected_str = '\n'.join([
'Location: ',
' name: Tucson',
' latitude: 32.2',
' longitude: -111',
' altitude: 700',
' tz: US/Arizona'
])
assert tus.__str__() == expected_str示例6: test_Location___repr__
def test_Location___repr__():
tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')
expected = '\n'.join([
'Location: ',
' name: Tucson',
' latitude: 32.2',
' longitude: -111',
' altitude: 700',
' tz: US/Arizona'
])
assert tus.__repr__() == expected示例7: test_get_clearsky
def test_get_clearsky(mocker, times):
tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')
m = mocker.spy(pvlib.clearsky, 'ineichen')
out = tus.get_clearsky(times)
assert m.call_count == 1
assert_index_equal(out.index, times)
# check that values are 0 before sunrise and after sunset
assert out.iloc[0, :].sum().sum() == 0
assert out.iloc[-1:, :].sum().sum() == 0
# check that values are > 0 during the day
assert (out.iloc[1:-1, :] > 0).all().all()
assert (out.columns.values == ['ghi', 'dni', 'dhi']).all()示例8: test_get_clearsky_haurwitz
def test_get_clearsky_haurwitz(times):
tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')
clearsky = tus.get_clearsky(times, model='haurwitz')
expected = pd.DataFrame(data=np.array(
[[ 0. ],
[ 242.30085588],
[ 559.38247117],
[ 384.6873791 ],
[ 0. ]]),
columns=['ghi'],
index=times)
assert_frame_equal(expected, clearsky)示例9: test_get_clearsky_simplified_solis
def test_get_clearsky_simplified_solis(times):
tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')
clearsky = tus.get_clearsky(times, model='simplified_solis')
expected = pd.DataFrame(data=np.
array([[ 0. , 0. , 0. ],
[ 70.00146271, 638.01145669, 236.71136245],
[ 101.69729217, 852.51950946, 577.1117803 ],
[ 86.1679965 , 755.98048017, 385.59586091],
[ 0. , 0. , 0. ]]),
columns=['dhi', 'dni', 'ghi'],
index=times)
expected = expected[['ghi', 'dni', 'dhi']]
assert_frame_equal(expected, clearsky, check_less_precise=2)示例10: test_get_clearsky_simplified_solis_aod_pw
def test_get_clearsky_simplified_solis_aod_pw(times):
tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')
clearsky = tus.get_clearsky(times, model='simplified_solis',
aod700=0.25, precipitable_water=2.)
expected = pd.DataFrame(data=np.
array([[ 0. , 0. , 0. ],
[ 85.77821205, 374.58084365, 179.48483117],
[ 143.52743364, 625.91745295, 490.06254157],
[ 114.63275842, 506.52275195, 312.24711495],
[ 0. , 0. , 0. ]]),
columns=['dhi', 'dni', 'ghi'],
index=times)
expected = expected[['ghi', 'dni', 'dhi']]
assert_frame_equal(expected, clearsky, check_less_precise=2)示例11: test_get_clearsky_simplified_solis_pressure
def test_get_clearsky_simplified_solis_pressure(times):
tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')
clearsky = tus.get_clearsky(times, model='simplified_solis',
pressure=95000)
expected = pd.DataFrame(data=np.
array([[ 0. , 0. , 0. ],
[ 70.20556637, 635.53091983, 236.17716435],
[ 102.08954904, 850.49502085, 576.28465815],
[ 86.46561686, 753.70744638, 384.90537859],
[ 0. , 0. , 0. ]]),
columns=['dhi', 'dni', 'ghi'],
index=times)
expected = expected[['ghi', 'dni', 'dhi']]
assert_frame_equal(expected, clearsky, check_less_precise=2)示例12: test_get_clearsky_simplified_solis_dni_extra
def test_get_clearsky_simplified_solis_dni_extra(times):
tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')
clearsky = tus.get_clearsky(times, model='simplified_solis',
dni_extra=1370)
expected = pd.DataFrame(data=np.
array([[ 0. , 0. , 0. ],
[ 67.82281485, 618.15469596, 229.34422063],
[ 98.53217848, 825.98663808, 559.15039353],
[ 83.48619937, 732.45218243, 373.59500313],
[ 0. , 0. , 0. ]]),
columns=['dhi', 'dni', 'ghi'],
index=times)
expected = expected[['ghi', 'dni', 'dhi']]
assert_frame_equal(expected, clearsky)示例13: test_get_clearsky
def test_get_clearsky():
tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')
times = pd.DatetimeIndex(start='20160101T0600-0700',
end='20160101T1800-0700',
freq='3H')
clearsky = tus.get_clearsky(times)
expected = pd.DataFrame(data=np.array([
( 0.0, 0.0, 0.0),
(262.77734276159333, 791.1972825869296, 46.18714900637892),
(616.764693938387, 974.9610353623959, 65.44157429054201),
(419.6512657626518, 901.6234995035793, 54.26016437839348),
( 0.0, 0.0, 0.0)],
dtype=[('ghi', '<f8'), ('dni', '<f8'), ('dhi', '<f8')]), index=times)
assert_frame_equal(expected, clearsky, check_less_precise=2)示例14: test_get_clearsky_ineichen_supply_linke
def test_get_clearsky_ineichen_supply_linke(mocker):
tus = Location(32.2, -111, 'US/Arizona', 700)
times = pd.date_range(start='2014-06-24-0700', end='2014-06-25-0700',
freq='3h')
mocker.spy(pvlib.clearsky, 'ineichen')
out = tus.get_clearsky(times, linke_turbidity=3)
# we only care that the LT is passed in this test
pvlib.clearsky.ineichen.assert_called_once_with(ANY, ANY, 3, ANY, ANY)
assert_index_equal(out.index, times)
# check that values are 0 before sunrise and after sunset
assert out.iloc[0:2, :].sum().sum() == 0
assert out.iloc[-2:, :].sum().sum() == 0
# check that values are > 0 during the day
assert (out.iloc[2:-2, :] > 0).all().all()
assert (out.columns.values == ['ghi', 'dni', 'dhi']).all()示例15: test_get_clearsky
def test_get_clearsky():
tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')
times = pd.DatetimeIndex(start='20160101T0600-0700',
end='20160101T1800-0700',
freq='3H')
clearsky = tus.get_clearsky(times)
expected = pd.DataFrame(data=np.
array([[ 0. , 0. , 0. ],
[ 258.60422702, 761.57329257, 50.1235982 ],
[ 611.96347869, 956.95353414, 70.8232806 ],
[ 415.10904044, 878.52649603, 59.07820922],
[ 0. , 0. , 0. ]]),
columns=['ghi', 'dni', 'dhi'],
index=times)
assert_frame_equal(expected, clearsky, check_less_precise=2)