glucopy.metrics.cv#

glucopy.metrics.cv(df: DataFrame, per_day: bool = False, ddof: int = 1)[source]#

Calculates the Coefficient of Variation (CV) of the CGM values.

Parameters:

df (pandas.DataFrame) – DataFrame containing the CGM values. The dataframe must contain ‘CGM’ and ‘Day’ columns present in glucopy.Gframe.data.
per_day (bool, default False) – If True, returns a pandas.Series with the coefficient of variation for each day. If False, returns the coefficient of variation for the entire dataset.
ddof (int, default 1) – Delta Degrees of Freedom. The divisor used in calculations is N - ddof, where N represents the number of elements. By default ddof is 1.

Returns:

cv – Coefficient of variation of the CGM values.

Return type:

float | pandas.Series

Notes

This function is meant to be used by glucopy.Gframe.cv()