matlab中的水平标准偏差填充图
horizontal standard deviation fill plot in matlab
我有一个示例文件。第一列是我的 y 轴（代表深度）。第二列是平均值。第三列是平均值+标准差，第四列是平均值-标准差。
50 8,52021458848310 12,8530947497846 4,18733442718158
100 19,2273240305912 23,7734814467110 14,6811666144714
150 24,2615944638934 30,2678190187990 18,2553699089878
200 30,6833427597963 39,4337701225571 21,9329153970354
250 34,9509485935449 47,8249116812250 22,0769855058648
300 32,4629780635280 40,1731214462594 24,7528346807966
350 33,7584752483269 43,2424890071851 24,2744614894686
400 39,6944893679358 52,5666743873288 26,8223043485428
450 46,5051455836423 63,5570927760677 29,4531983912169
500 49,0458418910265 70,7507807967089 27,3409029853441
550 52,0737915678693 70,5030313767484 33,6445517589901
600 57,5870126919132 81,1282679272898 34,0457574565365
650 58,7946350532416 85,0428844330643 32,5463856734189
700 59,3263566691245 92,6606340696131 25,9920792686359
750 69,0930407230073 105,935771600040 32,2503098459742
800 71,4416953118855 113,211405934863 29,6719846889079
850 70,3617175991868 111,663890244861 29,0595449535130
900 64,7764846391086 97,4995723191651 32,0533969590521
950 70,7142864622626 102,429751242886 38,9988216816390
1000 88,0269426788223 123,259291760572 52,7945935970724
1250 126,529915074894 193,319779063845 59,7400510859419
1500 173,395473019573 242,127131744655 104,663814294491
1750 225,087445395238 300,319434885651 149,855455904824
2000 269,218588809667 295,582291796995 242,854885822339
figure();
plot(example(:,2),example(:,1),'b-x','linewidth',2);
set(gca,'ydir','rev','xlim',[0 400],'ylim',[0 2000]);
grid on; hold on;
fill( [example(:,3) fliplr(example(:,4))], [example(:,1) fliplr(example(:,1))], 'k'); alpha(.25);
我在地块上的填充区域没有按应有的方式显示。而且我也不太确定问题出在哪里。我得到的是左边的图像，但它真正应该是右边的图像，除了填充。
更正向量对齐，即将所有向量对齐到一个大向量。否则你有两组向量，它们被分开
[example(:,x) example(:,y)] --> [example(:,x); example(:,y)]
用 flipud 代替 fliplr
fliplr(example(:,x)) // --> does nothing
flipud(example(:,x)) // --> for a column vector the correct approach
一个工作代码示例
%%
example = [50 8.52021458848310 12.8530947497846 4.18733442718158
100 19.2273240305912 23.7734814467110 14.6811666144714
150 24.2615944638934 30.2678190187990 18.2553699089878
200 30.6833427597963 39.4337701225571 21.9329153970354
250 34.9509485935449 47.8249116812250 22.0769855058648
300 32.4629780635280 40.1731214462594 24.7528346807966
350 33.7584752483269 43.2424890071851 24.2744614894686
400 39.6944893679358 52.5666743873288 26.8223043485428
450 46.5051455836423 63.5570927760677 29.4531983912169
500 49.0458418910265 70.7507807967089 27.3409029853441
550 52.0737915678693 70.5030313767484 33.6445517589901
600 57.5870126919132 81.1282679272898 34.0457574565365
650 58.7946350532416 85.0428844330643 32.5463856734189
700 59.3263566691245 92.6606340696131 25.9920792686359
750 69.0930407230073 105.935771600040 32.2503098459742
800 71.4416953118855 113.211405934863 29.6719846889079
850 70.3617175991868 111.663890244861 29.0595449535130
900 64.7764846391086 97.4995723191651 32.0533969590521
950 70.7142864622626 102.429751242886 38.9988216816390
1000 88.0269426788223 123.259291760572 52.7945935970724
1250 126.529915074894 193.319779063845 59.7400510859419
1500 173.395473019573 242.127131744655 104.663814294491
1750 225.087445395238 300.319434885651 149.855455904824
2000 269.218588809667 295.582291796995 242.854885822339];
figure();
plot(example(:,2),example(:,1),'b-x','linewidth',2);
set(gca,'ydir','rev','xlim',[0 400],'ylim',[0 2000]);
grid on; hold on;
plot(example(:,4), example(:,1))
plot(example(:,3), example(:,1))
fill( [example(:,3); flipud(example(:,4))], [example(:,1); flipud(example(:,1))], 'k'); alpha(.25);
我有一个示例文件。第一列是我的 y 轴（代表深度）。第二列是平均值。第三列是平均值+标准差，第四列是平均值-标准差。
50 8,52021458848310 12,8530947497846 4,18733442718158
100 19,2273240305912 23,7734814467110 14,6811666144714
150 24,2615944638934 30,2678190187990 18,2553699089878
200 30,6833427597963 39,4337701225571 21,9329153970354
250 34,9509485935449 47,8249116812250 22,0769855058648
300 32,4629780635280 40,1731214462594 24,7528346807966
350 33,7584752483269 43,2424890071851 24,2744614894686
400 39,6944893679358 52,5666743873288 26,8223043485428
450 46,5051455836423 63,5570927760677 29,4531983912169
500 49,0458418910265 70,7507807967089 27,3409029853441
550 52,0737915678693 70,5030313767484 33,6445517589901
600 57,5870126919132 81,1282679272898 34,0457574565365
650 58,7946350532416 85,0428844330643 32,5463856734189
700 59,3263566691245 92,6606340696131 25,9920792686359
750 69,0930407230073 105,935771600040 32,2503098459742
800 71,4416953118855 113,211405934863 29,6719846889079
850 70,3617175991868 111,663890244861 29,0595449535130
900 64,7764846391086 97,4995723191651 32,0533969590521
950 70,7142864622626 102,429751242886 38,9988216816390
1000 88,0269426788223 123,259291760572 52,7945935970724
1250 126,529915074894 193,319779063845 59,7400510859419
1500 173,395473019573 242,127131744655 104,663814294491
1750 225,087445395238 300,319434885651 149,855455904824
2000 269,218588809667 295,582291796995 242,854885822339
figure();
plot(example(:,2),example(:,1),'b-x','linewidth',2);
set(gca,'ydir','rev','xlim',[0 400],'ylim',[0 2000]);
grid on; hold on;
fill( [example(:,3) fliplr(example(:,4))], [example(:,1) fliplr(example(:,1))], 'k'); alpha(.25);
我在地块上的填充区域没有按应有的方式显示。而且我也不太确定问题出在哪里。我得到的是左边的图像，但它真正应该是右边的图像，除了填充。
更正向量对齐，即将所有向量对齐到一个大向量。否则你有两组向量，它们被分开
[example(:,x) example(:,y)] --> [example(:,x); example(:,y)]
用 flipud 代替 fliplr
fliplr(example(:,x)) // --> does nothing
flipud(example(:,x)) // --> for a column vector the correct approach
一个工作代码示例
%%
example = [50 8.52021458848310 12.8530947497846 4.18733442718158
100 19.2273240305912 23.7734814467110 14.6811666144714
150 24.2615944638934 30.2678190187990 18.2553699089878
200 30.6833427597963 39.4337701225571 21.9329153970354
250 34.9509485935449 47.8249116812250 22.0769855058648
300 32.4629780635280 40.1731214462594 24.7528346807966
350 33.7584752483269 43.2424890071851 24.2744614894686
400 39.6944893679358 52.5666743873288 26.8223043485428
450 46.5051455836423 63.5570927760677 29.4531983912169
500 49.0458418910265 70.7507807967089 27.3409029853441
550 52.0737915678693 70.5030313767484 33.6445517589901
600 57.5870126919132 81.1282679272898 34.0457574565365
650 58.7946350532416 85.0428844330643 32.5463856734189
700 59.3263566691245 92.6606340696131 25.9920792686359
750 69.0930407230073 105.935771600040 32.2503098459742
800 71.4416953118855 113.211405934863 29.6719846889079
850 70.3617175991868 111.663890244861 29.0595449535130
900 64.7764846391086 97.4995723191651 32.0533969590521
950 70.7142864622626 102.429751242886 38.9988216816390
1000 88.0269426788223 123.259291760572 52.7945935970724
1250 126.529915074894 193.319779063845 59.7400510859419
1500 173.395473019573 242.127131744655 104.663814294491
1750 225.087445395238 300.319434885651 149.855455904824
2000 269.218588809667 295.582291796995 242.854885822339];
figure();
plot(example(:,2),example(:,1),'b-x','linewidth',2);
set(gca,'ydir','rev','xlim',[0 400],'ylim',[0 2000]);
grid on; hold on;
plot(example(:,4), example(:,1))
plot(example(:,3), example(:,1))
fill( [example(:,3); flipud(example(:,4))], [example(:,1); flipud(example(:,1))], 'k'); alpha(.25);