no_numba.py 文件源码

def pearson_r(data_1, data_2):
    """
    Compute the Pearson correlation coefficient between two samples.

    Parameters
    ----------
    data_1 : array_like
        One-dimensional array of data.
    data_2 : array_like
        One-dimensional array of data.

    Returns
    -------
    output : float
        The Pearson correlation coefficient between `data_1`
        and `data_2`.

    Notes
    -----
    .. Only entries where both `data_1` and `data_2` are not NaN are
       used.
    .. If the variance of `data_1` or `data_2` is zero, return NaN.
    """
    x, y = _convert_two_data(data_1, data_2, inf_ok=False, min_len=2)
    return _pearson_r(x, y)


# @numba.jit(nopython=True)