def test_clearness_index_zenith_independent(airmass_kt):
clearness_index = np.array([-1, 0, .1, 1])
clearness_index, airmass_kt = np.meshgrid(clearness_index, airmass_kt)
out = irradiance.clearness_index_zenith_independent(clearness_index,
airmass_kt)
expected = np.array(
[[0. , 0. , 0.1 , 1. ],
[0. , 0. , 0.138, 1.383],
[0. , 0. , 0.182, 1.822],
[0. , 0. , 0.212, 2. ]])
assert_allclose(out, expected, atol=0.001)
# test max_clearness_index
out = irradiance.clearness_index_zenith_independent(
clearness_index, airmass_kt, max_clearness_index=0.82)
expected = np.array(
[[ 0. , 0. , 0.1 , 0.82 ],
[ 0. , 0. , 0.138, 0.82 ],
[ 0. , 0. , 0.182, 0.82 ],
[ 0. , 0. , 0.212, 0.82 ]])
assert_allclose(out, expected, atol=0.001)
# scalars
out = irradiance.clearness_index_zenith_independent(.4, 2)
expected = 0.443
assert_allclose(out, expected, atol=0.001)
# series
times = pd.DatetimeIndex(start='20180601', periods=2, freq='12H')
clearness_index = pd.Series([0, .5], index=times)
airmass = pd.Series([np.nan, 2], index=times)
out = irradiance.clearness_index_zenith_independent(clearness_index,
airmass)
expected = pd.Series([np.nan, 0.553744437562], index=times)
assert_series_equal(out, expected)
def test_clearness_index_zenith_independent(airmass_kt):
clearness_index = np.array([-1, 0, .1, 1])
clearness_index, airmass_kt = np.meshgrid(clearness_index, airmass_kt)
out = irradiance.clearness_index_zenith_independent(
clearness_index, airmass_kt)
expected = np.array([[0., 0., 0.1, 1.], [0., 0., 0.138, 1.383],
[0., 0., 0.182, 1.822], [0., 0., 0.212, 2.]])
assert_allclose(out, expected, atol=0.001)
# test max_clearness_index
out = irradiance.clearness_index_zenith_independent(
clearness_index, airmass_kt, max_clearness_index=0.82)
expected = np.array([[0., 0., 0.1, 0.82], [0., 0., 0.138, 0.82],
[0., 0., 0.182, 0.82], [0., 0., 0.212, 0.82]])
assert_allclose(out, expected, atol=0.001)
# scalars
out = irradiance.clearness_index_zenith_independent(.4, 2)
expected = 0.443
assert_allclose(out, expected, atol=0.001)
# series
times = pd.date_range(start='20180601', periods=2, freq='12H')
clearness_index = pd.Series([0, .5], index=times)
airmass = pd.Series([np.nan, 2], index=times)
out = irradiance.clearness_index_zenith_independent(
clearness_index, airmass)
expected = pd.Series([np.nan, 0.553744437562], index=times)
assert_series_equal(out, expected)
