glucopy.disjoin_days_and_hours#

glucopy.disjoin_days_and_hours(df, date_column: str | int = 0, cgm_column: str | int = 1, date_format: str | None = None)[source]#

Disjoins a dataframe with a column with datetime objects into a dataframe with columns for day, time and cgm values

Parameters:

df (pd.DataFrame) – DataFrame to disjoin
date_column (str or int, default 0) – Column name or index with datetime objects
cgm_column (str or int, default 1) – Column name or index with cgm values
date_format (str, default None) – Format of the date information, if None, it will be assumed that the date information is in a consistent format

Returns:

disjoined_df – Disjoined dataframe

Return type:

pd.DataFrame

Examples

Disjoin a dataframe

In [1]: import glucopy as gp

In [2]: import pandas as pd

In [3]: df = pd.DataFrame({'Timestamp':['2020-01-01 12:00:00','2020-01-01 12:05:00','2020-01-01 12:10:00'],
   ...:                    'CGM':[100,110,120]})
   ...: 

In [4]: gp.disjoin_days_and_hours(df)
Out[4]: 
            Timestamp         Day      Time  CGM
0 2020-01-01 12:00:00  2020-01-01  12:00:00  100
1 2020-01-01 12:05:00  2020-01-01  12:05:00  110
2 2020-01-01 12:10:00  2020-01-01  12:10:00  120