General Usage

Users will primarily interact with this software through the DataHandler class. By default, Solar Data Tools uses CLARABEL as the solver for all signal decomposition problems. If you would like to specify a solver (such as MOSEK), just pass the keyword argument solver to DataHandler.pipeline with the solver of choice.

The data should be in the form of a pandas DataFrame with a datetime index and a column for the power signal (or the user must set the datetime_col kwarg.) The data is recommended to be in the local timezone of the PV system.

import pandas as pd
from solardatatools import DataHandler

pv_system_data = pd.read_csv('path/to/your/data.csv', index_col=0, parse_dates=True)

dh = DataHandler(pv_system_data)
dh.run_pipeline(power_col='dc_power')

If everything is working correctly, you should see something like the following:

total time: 25.99 seconds
--------------------------------
Breakdown
--------------------------------
Preprocessing              6.76s
Cleaning                   0.41s
Filtering/Summarizing      18.83s
    Data quality           0.21s
    Clear day detect       0.44s
    Clipping detect        15.51s
    Capacity change detect 2.67s

You can find more in-depth usage examples in the demo and tutorial notebooks.