def kendalltau(X):
    """
    Accepts a matrix X and returns a correlation matrix so that each column
    is the variable and each row is the observations.

    Parameters
    ----------
    X : ndarray or DataFrame of shape n x m
        A matrix of n instances with m features

    """
    corrs = np.zeros((X.shape[1], X.shape[1]))
    for idx, cola in enumerate(X.T):
        for jdx, colb in enumerate(X.T):
            corrs[idx, jdx] = sp_kendalltau(cola,colb)[0]
    return corrs
Accepts a matrix X and returns a correlation matrix so that each column
    is the variable and each row is the observations.

    Parameters
    ----------
    X : ndarray or DataFrame of shape n x m
        A matrix of n instances with m features