pvlib.modelchain.ModelChain.prepare_inputs

ModelChain.prepare_inputs(weather)[source]

Prepare the solar position, irradiance, and weather inputs to the model, starting with GHI, DNI and DHI.

Parameters

weather (DataFrame, or tuple or list of DataFrame) –

Required column names include 'dni', 'ghi', 'dhi'. Optional column names are 'wind_speed', 'temp_air'; if not provided, air temperature of 20 C and wind speed of 0 m/s will be added to the DataFrame.

If weather is a tuple or list, it must be of the same length and order as the Arrays of the ModelChain’s PVSystem.

Raises

  • ValueError – If any weather DataFrame(s) is missing an irradiance component.

  • ValueError – If weather is a tuple or list and the DataFrames it contains have different indices.

  • ValueError – If weather is a tuple or list with a different length than the number of Arrays in the system.

Notes

Assigns attributes to results: times, weather, solar_position, airmass, total_irrad, aoi

See also

ModelChain.complete_irradiance()