| Overview | Examples |
In this example, you will:
- Read data from a glucose CSV file.
- This will generate a glucose dataframe that you will use to:
- Plot the glucose curve.
- Plot the hourly trend (with percentiles).
- Plot the daily trend (comparison of days).
In this example, you will:
- Read data from a glucose file with different formats:
- Different glucose units.
- Different column names.
- and more.
- This will generate a glucose dataframe with the generated glucose properties.
FreeStyle Libre glucose data contains meals and notes. In this example, you will:
- Read data from a glucose FreeStyle Libre CSV file.
- Read Meals based on the FreeStyle Libre notes in the same CSV file (this will generate a meals dataframe).
Glyco has the possibility to detect meals based on variations in glucose. In this example, you will:
- Read data from a glucose CSV file.
- Detect meals based on variations in the glucose column (this will generate a meals dataframe)
In this example, you will:
- Read data from a glucose CSV file (This will generate a glucose dataframe with the generated glucose properties).
- Read data about meals from a CSV file (this will generate a meals dataframe).
- Plot the glucose response to a meal based on these two dataframes.