annular.utils

Functions

`read_csv_with_utc_timestamps`(→ pandas.DataFrame)	Load a CSV file, using column 0 as index, and converting the index to UTC timestamps.
`patch_expected_price`(→ list[float])	Create a list of expected prices.

Module Contents

annular.utils.read_csv_with_utc_timestamps(path: pathlib.Path | str) → pandas.DataFrame[source]

Load a CSV file, using column 0 as index, and converting the index to UTC timestamps.

Parameters:: path – Path to the CSV file.
Returns:: DataFrame of the CSV file with index as UTC timestamps.

annular.utils.patch_expected_price(base_forecast: pandas.DataFrame, horizon: pandas.Index, forecast: pandas.DataFrame) → list[float][source]

Create a list of expected prices.

For the specified horizon, replaces the base forecast with the given forecast.

Parameters:

base_forecast – The base forecast.
horizon – Time horizon to use.
forecast – Dataframe with to-be-used forecast.

Returns:

A list of expected prices.