pvlib.iotools.read_midc#

pvlib.iotools.read_midc(filename, variable_map={}, raw_data=False, **kwargs)[source]#

Read in National Renewable Energy Laboratory Measurement and Instrumentation Data Center weather data. The MIDC is described in [1].

Parameters:

filename (string or file-like object) – Filename, url, or file-like object of data to read.
variable_map (dictionary) – Dictionary for mapping MIDC field names to pvlib names. Used to rename the columns of the resulting DataFrame. Does not map names by default. See Notes for an example.
raw_data (boolean) – Set to true to use format_index_raw to correctly format the date/time columns of MIDC raw data files.
kwargs (dict) – Additional keyword arguments to pass to pandas.read_csv

Returns:

data (Dataframe) – A dataframe with DatetimeIndex localized to the provided timezone.

Notes

The variable_map argument should map fields from MIDC data to pvlib names.

E.g. if a MIDC file contains the variable ‘Global Horizontal [W/m^2]’, passing the dictionary below will rename the column to ‘ghi’ in the returned Dataframe.

{‘Global Horizontal [W/m^2]’: ‘ghi’}

See the MIDC_VARIABLE_MAP for collection of mappings by site. For a full list of pvlib variable names see the Nomenclature.

Be sure to check the units for the variables you will use on the MIDC site.

References