def test_prepare_inputs_from_poa(sapm_dc_snl_ac_system, location, weather,
total_irrad):
data = weather.copy()
data[['poa_global', 'poa_diffuse', 'poa_direct']] = total_irrad
mc = ModelChain(sapm_dc_snl_ac_system, location)
mc.prepare_inputs_from_poa(data)
# weather attribute
assert_frame_equal(mc.weather, weather)
# total_irrad attribute
assert_frame_equal(mc.total_irrad, total_irrad)
def test_prepare_inputs_from_poa(sapm_dc_snl_ac_system, location,
weather, total_irrad):
data = pd.concat([weather, total_irrad], axis=1)
mc = ModelChain(sapm_dc_snl_ac_system, location)
mc.prepare_inputs_from_poa(data)
weather_expected = weather.copy()
weather_expected['temp_air'] = 20
weather_expected['wind_speed'] = 0
# order as expected
weather_expected = weather_expected[
['ghi', 'dhi', 'dni', 'wind_speed', 'temp_air']]
# weather attribute
assert_frame_equal(mc.weather, weather_expected)
# total_irrad attribute
assert_frame_equal(mc.total_irrad, total_irrad)
