Visualizing replay results

ReplayBG provides the possibility, to visualize in a painless way the results of rbg.replay().

This is done using the Visualizer class importable from py_replay_bg.visualizer.

In the following, we show how to do that in the case of single portions of data and portions of data spanning more than one day (i.e., intervals).

Visualizing replay results from single portions of data

To visualize replay results from single portions of data use the Visualizer.plot_replay_results() static method, which is formerly defined as:

    @staticmethod
    def plot_replay_results(
            replay_results: Dict,
            data: pd.DataFrame = None,
            title: str = '',
    ) -> None

Input parameters

• replay_results: the dictionary returned by or saved with the rbg.replay() method
• data, optional, default: None: The data parameter passed to rbg.replay() . If present, the method will also compare the glucose fit vs the data.
• title, optional, default: None: A string with an optional title to be added to the figure.

Example

# Load previously saved results, e.g., ...
with open(os.path.join(results_folder_location, 'results', 'workspaces', 'results.pkl'), 'rb') as file:
    replay_results = pickle.load(file)

# Analyze them
Visualizer.plot_replay_results(replay_results=replay_results)

Will produce:

The full code can be found in /example/code/analysis_example.py.

Visualizing replay results from portions of data spanning more than one day (i.e., intervals)

To visualize replay results from single portions of data use the Visualizer.plot_replay_results_interval() static method, which is formerly defined as:

    @staticmethod
    def plot_replay_results_interval(
            replay_results_interval: list,
            data_interval: list = None,
    ) -> Dict

Input parameters

• replay_results_interval: a list of dictionaries returned by or saved with the rbg.replay() method
• data_interval, optional, default: None: The list of data passed to rbg.replay() . If present, the method will also compare the glucose fit vs the data.
• title, optional, default: None: A string with an optional title to be added to the figure.

Example

# Initialize results list
replay_results_interval = []

# Load previously saved results, e.g., ...
for day in range(start_day, end_day+1):
    with open(os.path.join(results_folder_location, 'results', 'workspaces', 'results_' + str(day) + '.pkl'), 'rb') as file:
        replay_results = pickle.load(file)
    replay_results_interval.append(replay_results)

# Visualize them
Visualizer.plot_replay_results_interval(replay_results_interval=replay_results_interval)

Will produce:

The full code can be found in /example/code/analysis_example_intervals.py.