Currently you can’t set the background_gradient
for both the rows/columns simultaneously as pointed by Nickil Maveli. The trick is to customize the pandas function background_gradient:
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import colors
def background_gradient(s, m, M, cmap='PuBu', low=0, high=0):
rng = M - m
norm = colors.Normalize(m - (rng * low),
M + (rng * high))
normed = norm(s.values)
c = [colors.rgb2hex(x) for x in plt.cm.get_cmap(cmap)(normed)]
return ['background-color: %s' % color for color in c]
df = pd.DataFrame([[3,2,10,4],[20,1,3,2],[5,4,6,1]])
df.style.apply(background_gradient,
cmap='PuBu',
m=df.min().min(),
M=df.max().max(),
low=0,
high=0.2)