util.py 文件源码

def from_pandas(X):
    """A simple wrapper for H2OFrame.from_python. This takes
    a pandas dataframe and returns an H2OFrame with all the 
    default args (generally enough) plus named columns.

    Parameters
    ----------

    X : pd.DataFrame
        The dataframe to convert.

    Returns
    -------

    H2OFrame
    """
    pd, _ = validate_is_pd(X, None)

    # older version of h2o are super funky with this
    if parse_version(h2o.__version__) < parse_version('3.10.0.7'):
        h = 1
    else:
        h = 0

    # if h2o hasn't started, we'll let this fail through
    return H2OFrame.from_python(X, header=h, column_names=X.columns.tolist())