captest.capdata.CapData.rep_cond_freq

CapData.rep_cond_freq(irr_bal=False, percent_filter=20, front_poa='poa', w_vel=None, inplace=True, func=None, freq=None, grouper_kwargs={}, rc_kwargs={})

Calculate frequency-grouped reporting conditions.

Like rep_cond but aggregates within groups defined by freq (e.g. 'MS' for month-start, '60D' for 60-day). Used for seasonal or monthly reporting tests.

Parameters:

  • irr_bal (bool, default False) – See rep_cond.

  • percent_filter (int, default 20) – See rep_cond.

  • front_poa (str, default 'poa') – See rep_cond.

  • w_vel (numeric or None) – See rep_cond.

  • inplace (bool, default True) – When True writes the multi-row RC DataFrame to self.rc; when False returns the DataFrame.

  • func (dict, str, callable, or None, default None) – See rep_cond.

  • freq (str or None) – Pandas offset alias. None falls back to single-row rep_cond behavior.

  • grouper_kwargs (dict) – Passed to pandas.Grouper.

  • rc_kwargs (dict) – Passed to ReportingIrradiance when irr_bal is True.

Returns:

Multi-row DataFrame of per-group reporting conditions when inplace=False. Otherwise stores on self.rc and returns None.

Return type:

DataFrame or None