Timeframe

add_hourly_thresholds(hourly_stats, residual_lower, residual_upper)

Calculate and add fever and hypothermia thresholds.

PARAMETER	DESCRIPTION
hourly_stats	The DataFrame with hourly median temperatures. TYPE: DataFrame
residual_lower	The lower residual bound. TYPE: float
residual_upper	The upper residual bound. TYPE: float

RETURNS	DESCRIPTION
DataFrame	A DataFrame with added columns for residual bounds and fever/hypothermia
DataFrame	thresholds.

calculate_stats_by_timeframe(df, timeframe, data_column='y', pred_column='y_hat', date_column='ds', start_from_first=True)

Calculate statistics by specified timeframe, with an option to start from the first timestamp.

PARAMETER	DESCRIPTION
df	The input DataFrame. TYPE: DataFrame
timeframe	Group statistics by timeframe - options are "hour" and "day". TYPE: Literal['hour', 'day']
data_column	Name of column containing observed data. TYPE: str DEFAULT: 'y'
pred_column	Name of column containing predicted data. TYPE: str DEFAULT: 'y_hat'
date_column	The name of the column with timestamps. TYPE: str DEFAULT: 'ds'
start_from_first	If True, groups by the first timestamp's interval; otherwise, uses calendar-based intervals. TYPE: bool DEFAULT: True

RETURNS	DESCRIPTION
DataFrame	A DataFrame with aggregated statistics by specified timeframe.