基于行值的seaborn热图颜色方案

我有一个数据帧,部分复制如下:

import pandas as pd
import numpy as np
tab = pd.DataFrame(np.array([[ 46,  39,  25,  29,  21,  12,  33,  32,  70, 109, 144, 158, 161,
    184, 163, 113, 117,  82,  76,  88,  77,  76,  64,  35],
   [ 39,  33,  29,  29,  26,  14,  25,  33,  60,  83, 126, 117, 111,
    148, 141, 104,  92,  75,  78,  74,  63,  67,  52,  39],
   [ 30,  27,  14,  11,  20,  17,  21,  31,  48,  62,  83,  78,  88,
     90,  80,  67,  53,  61,  47,  54,  50,  48,  35,  26],
   [ 30,  24,  19,  15,  17,  10,  12,  18,  34,  69,  88,  79, 109,
     95,  89,  82,  53,  46,  53,  57,  39,  41,  26,  29],
   [ 37,  31,  18,  12,  30,  13,  15,  19,  51,  61,  74,  81,  77,
    100,  96,  74,  60,  57,  42,  48,  43,  40,  29,  25],
   [ 14,   8,  14,  11,  13,   7,   9,  15,  42,  49,  50,  44,  53,
     42,  31,  31,  30,  27,  33,  25,  27,  17,  20,  17],
   [ 10,  15,   6,  10,  15,  11,   7,  18,  28,  43,  49,  37,  41,
     33,  37,  32,  26,  28,  19,  24,  19,  19,  13,  18],
   [  9,   9,   8,  12,   7,  11,   4,   8,  14,  15,  23,  30,  29,
     34,  25,  39,  22,  20,  15,  23,  12,  19,  14,  13],
   [  0,   3,   4,   1,   1,   0,   3,   4,   4,   5,   3,   5,   6,
      7,   3,   3,   6,   4,   2,   3,   3,   2,   2,   2],
   [  3,   0,   1,   0,   0,   0,   1,   1,   4,   8,   2,   4,   7,
      2,   2,   9,   3,   5,   1,   5,   2,   0,   4,   1]]), index = 
        ['Stadsdeel Zuid', 'Stadsdeel West', 'Stadsdeel Nieuw-West',
   'Stadsdeel Centrum', 'Stadsdeel Oost', 'Stadsdeel Noord',
   'Wijk 00 Amstelveen', 'Stadsdeel Zuidoost', 'Wijk 00',
   'Wijk 00 Aalsmeer'])

我创建了一个热图

ax = sns.heatmap(tab, linewidths=.5 ,robust=True ,annot_kws = {'size':14})
ax.tick_params(labelsize=14)
ax.figure.set_size_inches((12, 10))

我想尽管锚定色图的值是基于每行的最小 - 最大值,因此具有较低值的行也是可见的.(实际上,该表包含更多具有低值的行,而热图几乎不显示颜色)

怎么做到这一点？

我将使用以下tab行中的最大值对行进行规范化:

tab_n = tab.div(tab.max(axis=1), axis=0)

其中tab_n由具有值的归一化标签在范围[0,1].希望有所帮助.绘图tab_n应返回如下的热图: