相互堆叠两个柱形图

Question

我正在尝试堆叠两个具有正值和负值的柱形图。但是使用以下代码，我将柱形图分开，有时一个隐藏在另一个之后。我正在发布脚本和示例数据，以便可以复制。我正在使用在线Matlab

 retndecm(1:52,1)= [0.3715
    0.3590
    0.2862
    0.1936
    0.2177
    0.2111
    0.2019
    0.2012
    0.2162
    0.2236
    0.1874
    0.2116
    0.2569
    0.2384
    0.2436
    0.2416
    0.2590
    0.2682
    0.2695
    0.2832
    0.2616
    0.2506
    0.2548
    0.2470
    0.2612
    0.2588
    0.2399
    0.2848
    0.3023
    0.3166
    0.3535
    0.3328
    0.3187
    0.3365
    0.3313
    0.3417
    0.3411
    0.4013
    0.3717
    0.3574
    0.3288
    0.3071
    0.3271
    0.2802
    0.2787
    0.2649
    0.2619
    0.2258
    0.2432
    0.2314
    0.2151
    0.2080];

 retndecm(1:52,2)=[0.0561
    0.0462
    0.0783
    0.1246
    0.1099
    0.0921
    0.0755
    0.0675
    0.0582
    0.0599
    0.0249
    0.0137
    0.0136
    0.0108
    0.0052
    0.0176
    0.0259
    0.0183
    0.0258
    0.0312
    0.0383
    0.0421
    0.0293
    0.0376
    0.0355
    0.0344
    0.0341
    0.0321
    0.0404
    0.0289
    0.0318
    0.0374
    0.0283
    0.0289
    0.0405
    0.0321
    0.0402
    0.0528
    0.0791
    0.0756
    0.0798
    0.0892
    0.0933
    0.0978
    0.1073
    0.1194
    0.1172
    0.1117
    0.1174
    0.0960
    0.1041
    0.1178];

retndecm(1:52,3) = [-0.1152
   -0.0963
   -0.1035
   -0.1144
   -0.1309
   -0.1289
   -0.1337
   -0.1347
   -0.1272
   -0.1289
   -0.1361
   -0.1176
   -0.1057
   -0.1125
   -0.1068
   -0.1119
   -0.1142
   -0.1188
   -0.1163
   -0.1115
   -0.1098
   -0.1145
   -0.1110
   -0.1046
   -0.0953
   -0.0985
   -0.1044
   -0.0967
   -0.0964
   -0.0932
   -0.0959
   -0.0938
   -0.0930
   -0.0843
   -0.0815
   -0.0673
   -0.0609
   -0.0591
   -0.0464
   -0.0736
   -0.0681
   -0.0691
   -0.0612
   -0.0758
   -0.0658
   -0.0690
   -0.0736
   -0.0774
   -0.0731
   -0.0762
   -0.0711
   -0.0754];

ndfspi(1:52,1)= [0.6025
    0.6024
    0.6028
    0.6024
    0.6030
    0.6028
    0.6026
    0.6031
    0.6031
    0.6031
    0.6029
    0.6029
    0.6010
    0.6030
    0.6033
    0.6025
    0.6034
    0.6021
    0.6014
    0.6027
    0.6031
    0.6032
    0.6030
    0.6032
    0.6029
    0.6025
    0.6024
    0.6029
    0.6026
    0.6011
    0.6025
    0.6013
    0.6025
    0.6028
    0.5989
    0.6025
    0.6028
    0.6035
    0.6035
    0.6033
    0.6031
    0.6030
    0.6033
    0.6027
    0.6030
    0.6031
    0.6033
    0.6029
    0.6031
    0.6027
    0.6026
    0.6029];
nfundbeta = ndfspi(1:52,1)-1;


%% figures
set(groot,'DefaultFigureColormap',jet);

r=figure;
hold on;
M=retndecm(:,1)';
t = datetime(2001,1,5) + calweeks(1:52);
h = bar(t, retndecm(:,1),.99,"stacked");
set(h, 'FaceColor', 'flat');
h.CData = ndfspi(:,1)';
caxis([min(-1) max(1)]);

hold on; 
t = datetime(2001,1,5) + calweeks(1:52);
l=bar(t,retndecm(:,2),.99,"stacked");
l.FaceColor = [.5 0 .5];

hold on;
N=retndecm(:,3)';
t = datetime(2001,1,5) + calweeks(1:52);
h = bar(t, retndecm(:,3),.99,"stacked");
set(h, 'FaceColor', 'flat');
h.CData = nfundbeta(:,1)'; 
caxis([min(-1) max(1)]);

colorbar('eastoutside'); 
set(gcf, 'PaperSize', [20 10], 'PaperPosition', [0 0 20 10])
set(findall(gcf,'-property','FontSize'),'FontSize',12);
saveas(gcf,'test2', 'pdf');
hold off;