pycif.plugins.datastreams.meteos.dummy_csv — API reference

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pycif.plugins.datastreams.meteos.dummy_csv — API reference#

Configuration reference: dummy_csv plugin

pycif.plugins.datastreams.meteos.dummy_csv.fetch.fetch(ref_dir, ref_file, input_interval, target_dir, tracer=None, **kwargs)[source]#
pycif.plugins.datastreams.meteos.dummy_csv.make.make(meteo, meteo_file, file_hours, **kwargs)[source]#

Creates random meteo time series for toy Gaussian model

Parameters:

  • meteo (pycif.utils.classes.Meteo) – object defining the meteo

  • meteo_file (str) – path where to dump

  • file_hours (pd.DatetimeIndex) – list of dates to include

Returns:

initialized meteo

pycif.plugins.datastreams.meteos.dummy_csv.read.read(meteo, name, varnames, dates, files, **kwargs)[source]#

Reads meteorology and links to the working directory

Parameters:

  • meteo (dictionary) – dictionary defining the domain. Should include

  • meteorology (dirmeteo to be able to read the)

  • datei (datetime.datetime) – initial date for the inversion window

  • datef (datetime.datetime) – end date for the inversion window

  • workdir (str) – path to the working directory where meteo files should be copied

  • logfile (str) – path to the log file

  • **kwargs (dictionary) – extra arguments

Returns:

None

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