pandas style background gradient both rows and columns

Question

The pandas style option to add a background gradient is great for quickly inspecting my output table. However, it is applied either row-wise or columns-wise. Would it be pos

Answer 1

You can use axis=None to get rid of the min and max computations in the call:

def background_gradient(s, m=None, M=None, cmap='PuBu', low=0, high=0):
    print(s.shape)
    if m is None:
        m = s.min().min()
    if M is None:
        M = s.max().max()
    rng = M - m
    norm = colors.Normalize(m - (rng * low),
                            M + (rng * high))
    normed = s.apply(norm)

    cm = plt.cm.get_cmap(cmap)
    c = normed.applymap(lambda x: colors.rgb2hex(cm(x)))
    ret = c.applymap(lambda x: 'background-color: %s' % x)
    return ret


df.style.apply(background_gradient, axis=None)

Edit: You may need to use normed = s.apply(lambda x: norm(x.values)) for this to work on matplotlib 2.2