pvlib.iotools.read_pvgis_tmy#

pvlib.iotools.read_pvgis_tmy(filename, pvgis_format=None, map_variables=None)[source]#

Read a file downloaded from PVGIS.

Parameters

filename (str, pathlib.Path, or file-like buffer) – Name, path, or buffer of file downloaded from PVGIS.
pvgis_format (str, default None) – Format of PVGIS file or buffer. Equivalent to the outputformat parameter in the PVGIS TMY API. If filename is a file and pvgis_format is None then the file extension will be used to determine the PVGIS format to parse. For PVGIS files from the API with outputformat='basic', please set pvgis_format to 'basic'. If filename is a buffer, then pvgis_format is required and must be in ['csv', 'epw', 'json', 'basic'].
map_variables (bool) – When true, renames columns of the Dataframe to pvlib variable names where applicable. See variable VARIABLE_MAP.

Returns

data (pandas.DataFrame) – the weather data
months_selected (list) – TMY year for each month, None for basic and EPW
inputs (dict) – the inputs, None for basic and EPW
metadata (list or dict) – file metadata, None for basic

Raises

ValueError – if pvgis_format is None and the file extension is neither .csv, .json, nor .epw, or if pvgis_format is provided as input but isn’t in ['csv', 'epw', 'json', 'basic']
TypeError – if pvgis_format is None and filename is a buffer