def test_gti_dirint():
times = pd.DatetimeIndex(
['2014-06-24T06-0700', '2014-06-24T09-0700', '2014-06-24T12-0700'])
poa_global = np.array([20, 300, 1000])
aoi = np.array([100, 70, 10])
zenith = np.array([80, 45, 20])
azimuth = np.array([90, 135, 180])
surface_tilt = 30
surface_azimuth = 180
# test defaults
output = irradiance.gti_dirint(
poa_global, aoi, zenith, azimuth, times, surface_tilt, surface_azimuth)
expected_col_order = ['ghi', 'dni', 'dhi']
expected = pd.DataFrame(array(
[[ 21.05796198, 0. , 21.05796198],
[ 288.22574368, 60.59964218, 245.37532576],
[ 931.04078010, 695.94965324, 277.06172442]]),
columns=expected_col_order, index=times)
assert_frame_equal(output, expected)
# test ignore calculate_gt_90
output = irradiance.gti_dirint(
poa_global, aoi, zenith, azimuth, times, surface_tilt, surface_azimuth,
calculate_gt_90=False)
expected_no_90 = expected.copy()
expected_no_90.iloc[0, :] = np.nan
assert_frame_equal(output, expected_no_90)
# test pressure input
pressure = 93193.
output = irradiance.gti_dirint(
poa_global, aoi, zenith, azimuth, times, surface_tilt, surface_azimuth,
pressure=pressure)
expected = pd.DataFrame(array(
[[ 21.05796198, 0. , 21.05796198],
[ 289.81109139, 60.52460392, 247.01373353],
[ 932.46756378, 648.05001357, 323.49974813]]),
columns=expected_col_order, index=times)
assert_frame_equal(output, expected)
# test albedo input
albedo = 0.05
output = irradiance.gti_dirint(
poa_global, aoi, zenith, azimuth, times, surface_tilt, surface_azimuth,
albedo=albedo)
expected = pd.DataFrame(array(
[[ 21.3592591, 0. , 21.3592591 ],
[ 292.5162373, 64.42628826, 246.95997198],
[ 941.6753031, 727.16311901, 258.36548605]]),
columns=expected_col_order, index=times)
assert_frame_equal(output, expected)
# test temp_dew input
temp_dew = np.array([70, 80, 20])
output = irradiance.gti_dirint(
poa_global, aoi, zenith, azimuth, times, surface_tilt, surface_azimuth,
temp_dew=temp_dew)
expected = pd.DataFrame(array(
[[ 21.05796198, 0. , 21.05796198],
[ 292.40468994, 36.79559287, 266.3862767 ],
[ 931.79627208, 689.81549269, 283.5817439]]),
columns=expected_col_order, index=times)
assert_frame_equal(output, expected)
def test_gti_dirint():
times = pd.DatetimeIndex(
['2014-06-24T06-0700', '2014-06-24T09-0700', '2014-06-24T12-0700'])
poa_global = np.array([20, 300, 1000])
aoi = np.array([100, 70, 10])
zenith = np.array([80, 45, 20])
azimuth = np.array([90, 135, 180])
surface_tilt = 30
surface_azimuth = 180
# test defaults
output = irradiance.gti_dirint(
poa_global, aoi, zenith, azimuth, times, surface_tilt, surface_azimuth)
expected_col_order = ['ghi', 'dni', 'dhi']
expected = pd.DataFrame(array(
[[ 21.05796198, 0. , 21.05796198],
[ 288.22574368, 60.59964218, 245.37532576],
[ 930.85454521, 695.8504884 , 276.96897609]]),
columns=expected_col_order, index=times)
assert_frame_equal(output, expected)
# test ignore calculate_gt_90
output = irradiance.gti_dirint(
poa_global, aoi, zenith, azimuth, times, surface_tilt, surface_azimuth,
calculate_gt_90=False)
expected_no_90 = expected.copy()
expected_no_90.iloc[0, :] = np.nan
assert_frame_equal(output, expected_no_90)
# test pressure input
pressure = 93193.
output = irradiance.gti_dirint(
poa_global, aoi, zenith, azimuth, times, surface_tilt, surface_azimuth,
pressure=pressure)
expected = pd.DataFrame(array(
[[ 21.05796198, 0. , 21.05796198],
[ 289.81109139, 60.52460392, 247.01373353],
[ 932.22047435, 647.68716072, 323.59362885]]),
columns=expected_col_order, index=times)
assert_frame_equal(output, expected)
# test albedo input
albedo = 0.05
output = irradiance.gti_dirint(
poa_global, aoi, zenith, azimuth, times, surface_tilt, surface_azimuth,
albedo=albedo)
expected = pd.DataFrame(array(
[[ 21.3592591 , 0. , 21.3592591 ],
[ 292.5162373 , 64.42628826, 246.95997198],
[ 941.47847463, 727.07261187, 258.25370648]]),
columns=expected_col_order, index=times)
assert_frame_equal(output, expected)
# test temp_dew input
temp_dew = np.array([70, 80, 20])
output = irradiance.gti_dirint(
poa_global, aoi, zenith, azimuth, times, surface_tilt, surface_azimuth,
temp_dew=temp_dew)
expected = pd.DataFrame(array(
[[ 21.05796198, 0. , 21.05796198],
[ 292.40468994, 36.79559287, 266.3862767 ],
[ 930.72198876, 712.36063132, 261.32196017]]),
columns=expected_col_order, index=times)
assert_frame_equal(output, expected)
def test_gti_dirint():
times = pd.DatetimeIndex(
['2014-06-24T06-0700', '2014-06-24T09-0700', '2014-06-24T12-0700'])
poa_global = np.array([20, 300, 1000])
aoi = np.array([100, 70, 10])
zenith = np.array([80, 45, 20])
azimuth = np.array([90, 135, 180])
surface_tilt = 30
surface_azimuth = 180
# test defaults
output = irradiance.gti_dirint(poa_global, aoi, zenith, azimuth, times,
surface_tilt, surface_azimuth)
expected_col_order = ['ghi', 'dni', 'dhi']
expected = pd.DataFrame(array([[21.05796198, 0., 21.05796198],
[288.22574368, 60.59964218, 245.37532576],
[931.04078010, 695.94965324,
277.06172442]]),
columns=expected_col_order,
index=times)
assert_frame_equal(output, expected)
# test ignore calculate_gt_90
output = irradiance.gti_dirint(poa_global,
aoi,
zenith,
azimuth,
times,
surface_tilt,
surface_azimuth,
calculate_gt_90=False)
expected_no_90 = expected.copy()
expected_no_90.iloc[0, :] = np.nan
assert_frame_equal(output, expected_no_90)
# test pressure input
pressure = 93193.
output = irradiance.gti_dirint(poa_global,
aoi,
zenith,
azimuth,
times,
surface_tilt,
surface_azimuth,
pressure=pressure)
expected = pd.DataFrame(array([[21.05796198, 0., 21.05796198],
[289.81109139, 60.52460392, 247.01373353],
[932.46756378, 648.05001357,
323.49974813]]),
columns=expected_col_order,
index=times)
assert_frame_equal(output, expected)
# test albedo input
albedo = 0.05
output = irradiance.gti_dirint(poa_global,
aoi,
zenith,
azimuth,
times,
surface_tilt,
surface_azimuth,
albedo=albedo)
expected = pd.DataFrame(array([[21.3592591, 0., 21.3592591],
[292.5162373, 64.42628826, 246.95997198],
[941.6753031, 727.16311901, 258.36548605]]),
columns=expected_col_order,
index=times)
assert_frame_equal(output, expected)
# test temp_dew input
temp_dew = np.array([70, 80, 20])
output = irradiance.gti_dirint(poa_global,
aoi,
zenith,
azimuth,
times,
surface_tilt,
surface_azimuth,
temp_dew=temp_dew)
expected = pd.DataFrame(array([[21.05796198, 0., 21.05796198],
[292.40468994, 36.79559287, 266.3862767],
[931.79627208, 689.81549269, 283.5817439]]),
columns=expected_col_order,
index=times)
assert_frame_equal(output, expected)
def test_gti_dirint():
times = pd.DatetimeIndex(
['2014-06-24T06-0700', '2014-06-24T09-0700', '2014-06-24T12-0700'])
poa_global = np.array([20, 300, 1000])
aoi = np.array([100, 70, 10])
zenith = np.array([80, 45, 20])
azimuth = np.array([90, 135, 180])
surface_tilt = 30
surface_azimuth = 180
# test defaults
output = irradiance.gti_dirint(poa_global, aoi, zenith, azimuth, times,
surface_tilt, surface_azimuth)
expected_col_order = ['ghi', 'dni', 'dhi']
expected = pd.DataFrame(array([[21.05796198, 0., 21.05796198],
[291.40037163, 63.41290679, 246.56067523],
[931.04078010, 695.94965324,
277.06172442]]),
columns=expected_col_order,
index=times)
assert_frame_equal(output, expected)
# test ignore calculate_gt_90
output = irradiance.gti_dirint(poa_global,
aoi,
zenith,
azimuth,
times,
surface_tilt,
surface_azimuth,
calculate_gt_90=False)
expected_no_90 = expected.copy()
expected_no_90.iloc[0, :] = np.nan
assert_frame_equal(output, expected_no_90)
# test pressure input
pressure = 93193.
output = irradiance.gti_dirint(poa_global,
aoi,
zenith,
azimuth,
times,
surface_tilt,
surface_azimuth,
pressure=pressure)
expected = pd.DataFrame(array([[21.05796198, 0., 21.05796198],
[293.21310935, 63.27500913, 248.47092131],
[932.46756378, 648.05001357,
323.49974813]]),
columns=expected_col_order,
index=times)
assert_frame_equal(output, expected)
# test albedo input
albedo = 0.05
output = irradiance.gti_dirint(poa_global,
aoi,
zenith,
azimuth,
times,
surface_tilt,
surface_azimuth,
albedo=albedo)
expected = pd.DataFrame(array([[21.3592591, 0., 21.3592591],
[294.4985420, 66.25848451, 247.64671830],
[941.7943404, 727.50552952, 258.16276278]]),
columns=expected_col_order,
index=times)
assert_frame_equal(output, expected)
# test temp_dew input
temp_dew = np.array([70, 80, 20])
output = irradiance.gti_dirint(poa_global,
aoi,
zenith,
azimuth,
times,
surface_tilt,
surface_azimuth,
temp_dew=temp_dew)
expected = pd.DataFrame(array([[21.05796198, 0., 21.05796198],
[295.06070190, 38.20346345, 268.0467738],
[931.79627208, 689.81549269, 283.5817439]]),
columns=expected_col_order,
index=times)
assert_frame_equal(output, expected)
