How to use the persim.visuals.plot_diagrams function in persim

cross-similarity matrix
    labels: list of strings
        names of diagrams for legend. Default = ["dgm1", "dgm2"], 
    ax: matplotlib Axis object
        For plotting on a particular axis.


    Examples
    ==========

    bn_matching, (matchidx, D) = persim.bottleneck(A_h1, B_h1, matching=True)
    persim.bottleneck_matching(A_h1, B_h1, matchidx, D)

    """

    plot_diagrams([I1, I2], labels=labels, ax=ax) 
    cp = np.cos(np.pi / 4)
    sp = np.sin(np.pi / 4)
    R = np.array([[cp, -sp], [sp, cp]])
    if I1.size == 0:
        I1 = np.array([[0, 0]])
    if I2.size == 0:
        I2 = np.array([[0, 0]])
    I1Rot = I1.dot(R)
    I2Rot = I2.dot(R)
    dists = [D[i, j] for (i, j) in matchidx]
    (i, j) = matchidx[np.argmax(dists)]
    if i >= I1.shape[0] and j >= I2.shape[0]:
        return
    if i >= I1.shape[0]:
        diagElem = np.array([I2Rot[j, 0], 0])
        diagElem = diagElem.dot(R.T)