本文整理汇总了Python中pvlib.location.Location.get_clearsky方法的典型用法代码示例。如果您正苦于以下问题：Python Location.get_clearsky方法的具体用法？Python Location.get_clearsky怎么用？Python Location.get_clearsky使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pvlib.location.Location的用法示例。
在下文中一共展示了Location.get_clearsky方法的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_clearsky_valueerror
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
def test_get_clearsky_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_clearsky(times, model='invalid_model')示例2: test_get_clearsky_haurwitz
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
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3: test_get_clearsky
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
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4: test_get_clearsky_simplified_solis
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
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5: test_get_clearsky_simplified_solis_aod_pw
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
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6: test_get_clearsky
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
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7: test_get_clearsky_simplified_solis_pressure
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
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8: test_get_clearsky_simplified_solis_dni_extra
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
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9: test_get_clearsky_haurwitz
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
def test_get_clearsky_haurwitz():
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, 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10: test_get_clearsky
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
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)示例11: test_get_clearsky_ineichen_supply_linke
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
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12: test_get_clearsky_simplified_solis_apparent_elevation
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
def test_get_clearsky_simplified_solis_apparent_elevation(times):
tus = Location(32.2, -111, 'US/Arizona', 700, 'Tucson')
solar_position = {'apparent_elevation': pd.Series(80, index=times),
'apparent_zenith': pd.Series(10, index=times)}
clearsky = tus.get_clearsky(times, model='simplified_solis',
solar_position=solar_position)
expected = pd.DataFrame(data=np.
array([[ 131.3124497 , 1001.14754036, 1108.14147919],
[ 131.3124497 , 1001.14754036, 1108.14147919],
[ 131.3124497 , 1001.14754036, 1108.14147919],
[ 131.3124497 , 1001.14754036, 1108.14147919],
[ 131.3124497 , 1001.14754036, 1108.14147919]]),
columns=['dhi', 'dni', 'ghi'],
index=times)
expected = expected[['ghi', 'dni', 'dhi']]
assert_frame_equal(expected, clearsky, check_less_precise=2)示例13: test_get_clearsky_ineichen_supply_linke
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
def test_get_clearsky_ineichen_supply_linke():
tus = Location(32.2, -111, 'US/Arizona', 700)
times = pd.date_range(start='2014-06-24', end='2014-06-25', freq='3h')
times_localized = times.tz_localize(tus.tz)
expected = pd.DataFrame(np.
array([[ 0. , 0. , 0. ],
[ 0. , 0. , 0. ],
[ 79.73090244, 316.16436502, 40.45759009],
[ 703.43653498, 876.41452667, 95.15798252],
[ 1042.37962396, 939.86391062, 118.44687715],
[ 851.32411813, 909.11186737, 105.36662462],
[ 257.18266827, 646.16644264, 62.02777094],
[ 0. , 0. , 0. ],
[ 0. , 0. , 0. ]]),
columns=['ghi', 'dni', 'dhi'],
index=times_localized)
out = tus.get_clearsky(times_localized, linke_turbidity=3)
assert_frame_equal(expected, out, check_less_precise=2)示例14: detect_clearsky_data
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
def detect_clearsky_data():
test_dir = os.path.dirname(os.path.abspath(
inspect.getfile(inspect.currentframe())))
file = os.path.join(test_dir, '..', 'data', 'detect_clearsky_data.csv')
expected = pd.read_csv(file, index_col=0, parse_dates=True, comment='#')
expected = expected.tz_localize('UTC').tz_convert('Etc/GMT+7')
metadata = {}
with open(file) as f:
for line in f:
if line.startswith('#'):
key, value = line.strip('# \n').split(':')
metadata[key] = float(value)
else:
break
metadata['window_length'] = int(metadata['window_length'])
loc = Location(metadata['latitude'], metadata['longitude'],
altitude=metadata['elevation'])
# specify turbidity to guard against future lookup changes
cs = loc.get_clearsky(expected.index, linke_turbidity=2.658197)
return expected, cs示例15: Location
# 需要导入模块: from pvlib.location import Location [as 别名]
# 或者: from pvlib.location.Location import get_clearsky [as 别名]
from pvlib import solarposition
from pvlib import irradiance
from pvlib import atmosphere
from conftest import requires_ephem, requires_numba, needs_numpy_1_10
# setup times and location to be tested.
tus = Location(32.2, -111, 'US/Arizona', 700)
# must include night values
times = pd.date_range(start='20140624', freq='6H', periods=4, tz=tus.tz)
ephem_data = solarposition.get_solarposition(
times, tus.latitude, tus.longitude, method='nrel_numpy')
irrad_data = tus.get_clearsky(times, model='ineichen', linke_turbidity=3)
dni_et = irradiance.extraradiation(times.dayofyear)
ghi = irrad_data['ghi']
# setup for et rad test. put it here for readability
timestamp = pd.Timestamp('20161026')
dt_index = pd.DatetimeIndex([timestamp])
doy = timestamp.dayofyear
dt_date = timestamp.date()
dt_datetime = datetime.datetime.combine(dt_date, datetime.time(0))
dt_np64 = np.datetime64(dt_datetime)
value = 1383.636203