mosaicmpi.network.Network.consensus# Network.consensus(method: str = 'median', min_k: int = 2) → DataFrame# Generate a ‘consensus’ program for each community and dataset by taking the median of all constituent programs, separately for each dataset. Parameters: method (str, optional) – Choose from: “mean”, “median”. Defaults to “median” min_k (int, optional) – Minimum k value to filter programs prior to consensus, defaults to 2 Returns: Communities-Datasets × variables consensus matrix Return type: pd.DataFrame