moabb.datasets.utils.plot_datasets_cluster

moabb.datasets.utils.plot_datasets_cluster(datasets: list[BaseDataset | dict] | None = None, meta_gap: float = 10.0, **kwargs)

Plots all the MOABB datasets in one figure, grouped in one cluster.

This uses the dataset_bubble_plot() function to plot the datasets. The datasets are sorted in alphabetical order and plotted in a grid with n_col columns.

Parameters:

• datasets (list[BaseDataset | dict] | None) –

  List of datasets to plot. If None, all datasets are plotted. If an element of the list is a dictionary, it is assumed to have the following keys:

  dataset_name: str

  Name of the dataset.

  paradigm: str

  Paradigm of the dataset (e.g., ‘imagery’, ‘p300’).

  n_subjects: int

  Number of subjects in the dataset.

  n_sessions: int

  Number of sessions in the dataset.

  n_trials: int

  Number of trials in the dataset.

  trial_len: float

  Length of each trial in seconds.

• meta_gap (float) – Gap between the different datasets in the cluster.

• kwargs (dict) – Additional arguments to pass to the dataset_bubble_plot function.

Returns:

fig – Pyplot handle

Return type:

Figure