sluyspy.solar_panels module

Solar-panel functions for the sluyspy package

sluyspy.solar_panels.read_detailed_log(file_name='Current/detailed-log.csv', last_only=None, header=None, sun_position=False, rem_cols=True, no_p0rows=False, no_elec=False, no_cond=True)[source]

Read solar-panel detailed-log.csv and select the useful data.

Parameters:

  • file_name (str) – Name of the input file (optional; default=None -> detailed-log.csv).

  • header (int) – Number of lines to consider as header and skip (optional; default: 0).

  • last_only (int) – Number of last lines to read. This tails the last lines into a separate file and reads that.

  • sun_position (bool) – Add (compute) Sun position to the data (slow! - optional; default: False).

  • rem_cols (bool) – Remove default columns (constants, duplicates, uninteresting).

  • no_p0rows (bool) – Remove rows without power (P=0; Relay=closed; Cond!=OK).

  • no_elec (bool) – Remove electricity details (some P,V,I, f).

  • no_cond (bool) – Remove condition/status columns (Cond, Relay, Tinv).

Returns:

DataFrame containing solar-panel data.

Return type:

(pandas.DataFrame)

sluyspy.solar_panels.write_day_file(df, subdir='', prefix=None, ext='csv', verbosity=0)[source]

Write one day of (e.g.) minutely solar-panel data to daily file named ‘subdir/prefix-yyyymmdd.ext’.

Parameters:

  • df (pandas.DataFrame) – Pandas DataFrame with columns datetime, Pac and Etot.

  • subdir (str) – Subdirectory to save file in, with trailing slash.

  • prefix (str) – File name prefix (defaults to name of the plant, followed by a hyphen).

  • ext (str) – File extension to use.

  • verbosity (int) – Verbosity (0-2; defaults to 0).