comparison COBRAxy/marea_cluster.py @ 444:06564187fba3 draft

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443:3d4e10546917

    global args
    args = process_args(args_in)

    if not os.path.exists(args.output_path):
        os.makedirs(args.output_path)
    
    #Data read
    
    X = read_dataset(args.input)
    X = X.iloc[:, 1:]
    X = pd.DataFrame.to_dict(X, orient='list')

    
    for i in X.columns:
        if any(val is None or np.isnan(val) for val in X[i]):
            X = X.drop(columns=[i])
            
    if args.scaling == True:
        list_to_remove = []
        toll_std=1e-8
        for i in X.columns:
            mean_i = X[i].mean()
            std_i = X[i].std()

444:06564187fba3

    global args
    args = process_args(args_in)

    if not os.path.exists(args.output_path):
        os.makedirs(args.output_path)

    #Data read
    
    X = read_dataset(args.input)
    X = X.iloc[:, 1:]
    X = pd.DataFrame.to_dict(X, orient='list')

    
    for i in X.columns:
        if any(val is None or np.isnan(val) for val in X[i]):
            X = X.drop(columns=[i])
            
    if args.scaling == "true":
        list_to_remove = []
        toll_std=1e-8
        for i in X.columns:
            mean_i = X[i].mean()
            std_i = X[i].std()