comparison COBRAxy/marea_cluster.py @ 154:49fb0556242f draft

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153:a95ac9ae9648

    if len(dataset.columns) < 2:
        sys.exit('Execution aborted: wrong format of dataset\n')
    return dataset

############################ rewrite_input ###################################
def rewrite_input(dataset :pd.DataFrame) -> Dict[str, List[Optional[float]]]:
    """
    Rewrite the dataset as a dictionary of lists instead of as a dictionary of dictionaries.

    Args:
        dataset (pandas.DataFrame): The dataset to be rewritten.

    Returns:
        dict: The rewritten dataset as a dictionary of lists.
    """
    #Riscrivo il dataset come dizionario di liste, 
    #non come dizionario di dizionari
    dataset = dataset.iloc[:, 1:]
    #dataset.pop('Reactions', None)
    
    for key, val in dataset.items():
        l = []
        for i in val:

        os.makedirs(args.output_path)
    
    #Data read
    
    X = read_dataset(args.input)
    X = pd.DataFrame.to_dict(X, orient='list')
    X = rewrite_input(X)
    X = pd.DataFrame.from_dict(X, orient = 'index')
    
    for i in X.columns:

154:49fb0556242f

    if len(dataset.columns) < 2:
        sys.exit('Execution aborted: wrong format of dataset\n')
    return dataset

############################ rewrite_input ###################################
def rewrite_input(dataset :Dict) -> Dict[str, List[Optional[float]]]:
    """
    Rewrite the dataset as a dictionary of lists instead of as a dictionary of dictionaries.

    Args:
        dataset (pandas.DataFrame): The dataset to be rewritten.

    Returns:
        dict: The rewritten dataset as a dictionary of lists.
    """
    #Riscrivo il dataset come dizionario di liste, 
    #non come dizionario di dizionari
    #dataset.pop('Reactions', None)
    
    for key, val in dataset.items():
        l = []
        for i in val:

        os.makedirs(args.output_path)
    
    #Data read
    
    X = read_dataset(args.input)
    X = X.iloc[:, 1:]
    X = pd.DataFrame.to_dict(X, orient='list')
    X = rewrite_input(X)
    X = pd.DataFrame.from_dict(X, orient = 'index')
    
    for i in X.columns: