util.py 文件源码

def from_array(X, column_names=None):
    """A simple wrapper for H2OFrame.from_python. This takes a
    numpy array (or 2d array) and returns an H2OFrame with all 
    the default args.

    Parameters
    ----------

    X : ndarray
        The array to convert.

    column_names : list, tuple (default=None)
        the names to use for your columns

    Returns
    -------

    H2OFrame
    """
    X = check_array(X, force_all_finite=False)
    return from_pandas(pd.DataFrame.from_records(data=X, columns=column_names))