如何画图中阴影部分的斜线？

ch_j1985

请问，下图中阴影部分的斜线是怎么画出来的？
图是用双对数（loglog）画的，想要添加像图中那样的“剖面线”！
大家出出主意吧

[ 本帖最后由 eight 于 2008-4-29 18:41 编辑 ]

w89986581

导入origin软件，可以实现阴影绘图。

ch_j1985

我想直接在Matlab里面画，不知道可以不？

咕噜噜

我只会垂直线填充，给你个简单的例子
x=0:0.05:6;
plot(x,cos(x),'k',x,1./cosh(x),'k',[4.73,4.73],[-1,1],'k')
hold on
xx=linspace(0,4.73,20);
plot([xx;xx],[cos(xx);1./cosh(xx)],'k-')

friendchj

用matlab把基本的图画好，再去Visio里画斜线。这样做可能会影响效果。呵呵

ch_j1985

知道直线的方程和曲线的方程，如果可以求出它们的交点，我想可以用plot命令来画；但是fzero和fsolve好像只能求一个交点，从图中可以看出直线与曲线最多时有四个交点，请问这个怎么求？

ch_j1985

昨天刚答辩完，今天把《汽车理论（第4版）》227页的一个图的程序贴上来，和大家分享一下（如果有侵权嫌疑的话，还麻烦版主或管理员删掉）。
之所以分享，个人觉得有以下两点：（1）用到了plotyy命令；（2）综合了一些标注的命令。
程序编的不好的地方还请大家指点。
其中，斜线问题在本程序中还没有得到解决，期待高手能够帮忙解决一下，谢谢啦！

1. 
   
2. clf
   
3. clc
   
4. clear
   
5. close
   
6. %设置图片背景为白色
   
7. fig=figure;
   
8. set(fig,'Color',[1,1,1]);
   
9. %__________________________________________________________________________
   
10. global Gqn0 n0 u f_x
    
11. f0=1;    %车身-车轮双质量系统车身部分固有频率，单位：Hz
    
12. varsigma=0.25;    %车身-车轮双质量系统阻尼比
    
13. gamma=9;       %车身-车轮双质量系统刚度比
    
14. mu=10;      %车身-车轮双质量系统质量比
    
15. u=20;       %车速，单位：m/s
    
16. Gqn0=64e-6;%路面不平度系数，单位：m3
    
17. n0=0.1;      %参考空间频率，单位：m-1
    
18. detaf=0.002;      %计算时频率步长，单位：Hz
    
19. N=18000;          %频率点数
    
20. f_x_array=logspace(-1,2,35);
    
21. M=length(f_x_array);
    
22. f=0.1:detaf:(N*detaf-0.1);
    
23. %__________________________________________________________________________
    
24. subplot(2,1,1);
    
25. Gdqf=fun2;
    
26. loglog([0.1 N*detaf-0.1],[Gdqf(1) Gdqf(1)],'linewidth',1.5,'linestyle','-','color','b');
    
27. set(gca,'XLim',[0.1 N*detaf-0.1],'XTickLabel',{'0.1','1','10'},'XMinorTick','off','Ylim',[1e-4 1e-2],'YMinorTick','off');
    
28. XLabel({'激振频率 \itf \rm / Hz','a )'},'FontSize',10,'FontName','Times');
    
29. Ylabel('$$G_{\dot{q}}(f)/\rm (m^2\cdot s^{-1})$$','Interpreter','latex','FontSize',10);
    
30. text(1.895,0.00272,{'B 级路面','车速\it u\rm = 20 m / s'},'FontName','Times','FontSize',10,'HorizontalAlignment','center');
    
31. %__________________________________________________________________________
    
32. subplot(2,1,2);
    
33. Gdqf=fun2;
    
34. loglog(f,Gdqf);
    
35. hold on
    
36. Dddz2dq=fun7(f,f0,varsigma,gamma,mu);
    
37. Gddz2f=Dddz2dq.^2.*Gdqf;
    
38. [AX,H1,H2]=plotyy(f,Gddz2f,f,Dddz2dq.^2,@loglog,@loglog);
    
39. set(AX(1),'XLim',[0.1 N*detaf-0.1],'XTickLabel',{'0.1','1','10'},'XColor','k','XMinorTick','off','Ylim',[1e-4 1],'Ycolor','k','YMinorTick','off');
    
40. set(AX(2),'XLim',[0.1 N*detaf],'XTickLabel',{'','',''},'XColor','k','XMinorTick','off','Ylim',[1 10000],'YTickLabel',{'1','10','','',''},'Ycolor','k','YMinorTick','off','Visible','on');
    
41. set(H1,'linewidth',1.5,'linestyle','-','color','g');
    
42. set(H2,'linewidth',1.5,'linestyle','--','color','r');
    
43. XLabel({'激振频率 \itf \rm / Hz','b )'},'FontSize',10,'FontName','Times');
    
44. set(get(AX(1),'Ylabel'),'String','$$G_{\ddot{z}_2}(f)/\rm (m^2\cdot s^{-3})$$','Interpreter','latex');
    
45. set(get(AX(2),'Ylabel'),'String','$$\left|\frac{\ddot{z}_2}{\dot{q}}\right|^2/\rm s^{-2}$$','Interpreter','latex');
    
46. text('Interpreter','latex','String','$$\it G_{\dot{q}}(f)$$','Position',[0.6 1e-3],'FontSize',10);
    
47. text('Interpreter','latex','String','$$\sigma{_{\ddot{z}_2}^2}$$','Position',[3 1e-3],'FontSize',10);
    
48. text(36.84,0.01035,'10^2');
    
49. text(36.84,0.1035,'10^3');
    
50. text(36.84,1.035,'10^4');
    
51. box on;
    
52. hold on
    
53. %蓝色竖线___________________________________________________________________
    
54. for i=1:M
    
55.     f_x=f_x_array(i);
    
56.     plot([f_x,f_x],[1e-4,fun7(f_x,f0,varsigma,gamma,mu).^2.*fun2])
    
57.     hold on
    
58. end
    
59. %__________________________________________________________________________
    
60. %渐近线
    
61. X1=[0.1,1];
    
62. Y1=[10^(2*log10(0.1)+log10((2*pi)^2)+log10(fun2)),10^(2*log10(1)+log10((2*pi)^2)+log10(fun2))];
    
63. plot(X1,Y1,'k')
    
64. hold on
    
65. X2=[1,10^(((2*log10(1)+log10((2*pi)^2)+log10(fun2))-(log10(16*pi^2*varsigma^2*gamma^2*mu^2*f0^6)+log10(fun2)))/(-4))];
    
66. Y2=[10^(2*log10(1)+log10((2*pi)^2)+log10(fun2)),10^(2*log10(1)+log10((2*pi)^2)+log10(fun2))];
    
67. plot(X2,Y2,'k')
    
68. hold on
    
69. X3=[10^(((2*log10(1)+log10((2*pi)^2)+log10(fun2))-(log10(16*pi^2*varsigma^2*gamma^2*mu^2*f0^6)+log10(fun2)))/(-4)),N*detaf-0.1];
    
70. Y3=[10^(2*log10(1)+log10((2*pi)^2)+log10(fun2)),10^(-4*log10(N*detaf-0.1)+log10(16*pi^2*varsigma^2*gamma^2*mu^2*f0^6)+log10(fun2))];
    
71. plot(X3,Y3,'k')
    
72. hold on
    
73. X4=[0.1,1];
    
74. Y4=[10^(2*log10(0.1)+log10((2*pi)^2)-4),10^(2*log10(1)+log10((2*pi)^2)-4)];
    
75. plot(X4,Y4,'k')
    
76. hold on
    
77. X5=[1,10^(((2*log10(1)+log10((2*pi)^2))-(log10(16*pi^2*varsigma^2*gamma^2*mu^2*f0^6)))/(-4))];
    
78. Y5=[10^(2*log10(1)+log10((2*pi)^2)-4),10^(2*log10(1)+log10((2*pi)^2)-4)];
    
79. plot(X5,Y5,'k')
    
80. hold on
    
81. X6=[10^(((2*log10(1)+log10((2*pi)^2))-(log10(16*pi^2*varsigma^2*gamma^2*mu^2*f0^6)))/(-4)),N*detaf-0.1];
    
82. Y6=[10^(2*log10(1)+log10((2*pi)^2)-4),10^(-4*log10(N*detaf-0.1)+log10(16*pi^2*varsigma^2*gamma^2*mu^2*f0^6)-4)];
    
83. plot(X6,Y6,'k')
    
84. hold on
    
85. text(0.3,6e-3,'+2:1','FontSize',10);
    
86. text(12,1e-2,'-4:1','FontSize',10);

复制代码

1. 
   
2. %时间频率的不平度垂直速度的功率谱密度关系式
   
3. function Gdqf=fun2
   
4. global Gqn0 n0 u
   
5. Gdqf=4*pi^2*Gqn0*n0^2*u;
   
6. end

复制代码

1. 
   
2. %双质量系统的车身加速度对路面不平度垂直速度函数的幅频特性
   
3. function Dddz2dq=fun7(f,f0,varsigma,gamma,mu)
   
4. Dddz2dq=fun1(f).*fun6(f,f0,varsigma,gamma,mu);
   
5. end

复制代码

1. %圆频率
   
2. function omega=fun1(f)
   
3. omega=2*pi*f;
   
4. end

复制代码

1. %双质量系统车身位移对路面位移的频率响应函数的幅频特性
   
2. function Dz2q=fun6(f,f0,varsigma,gamma,mu)
   
3. Dz2q=fun31(f,f0,varsigma).*fun5(f,f0,varsigma,gamma,mu);
   
4. end

复制代码

1. %单质量系统位移输入与位移输出的幅频特性（频率）
   
2. function Szqf=fun31(f,f0,varsigma)
   
3. Szqf=sqrt((1+(2*varsigma*(f/f0)).^2)./((1-(f/f0).^2).^2+(2*varsigma*(f/f0)).^2));
   
4. end

复制代码

1. %双质量系统车身位移对路面位移的频率响应函数的幅频特性
   
2. function Dz1q=fun5(f,f0,varsigma,gamma,mu)
   
3. Dz1q=gamma*sqrt(((1-(f/f0).^2).^2+4*varsigma^2*(f/f0).^2)./(((1-(f/f0).^2).*(1+gamma-1/mu*(f/f0).^2)-1).^2+(4*varsigma^2*(f/f0).^2.*(gamma-(1/mu+1)*(f/f0).^2).^2)));
   
4. end

复制代码

[ 本帖最后由 ch_j1985 于 2008-6-8 13:15 编辑 ]

friendchj

原帖由 ch_j1985 于 2008-4-29 18:30 发表

                               
登录/注册后可看大图

请问，下图中阴影部分的斜线是怎么画出来的？
图是用双对数（loglog）画的，想要添加像图中那样的“剖面线”！
大家出出主意吧

斜线用Figure里的工具可以手工画，麻烦了一点

ch_j1985

原帖由 friendchj 于 2008-6-9 22:53 发表

                               
登录/注册后可看大图

斜线用Figure里的工具可以手工画，麻烦了一点

谢谢您的意见，手工画不是很准确，但是没有其它好的办法，只能这样啦

ChaChing

今天回了一帖http://forum.vibunion.com/forum/vi ... 15&page=1#pid392328, 使我回想起这一帖
忘记什麽时间看过此帖, 那时即有比如此类似想法, 但我极少使用3-D绘图指令, 一时未试出! 竟拖至今!
今又回忆起, 先说说我想法! 以免又忘记, 而且或许大家可以帮帮实践!
先产生一个斜线的图档obliq.tif, 再使用warp指令盖那区域!

刚刚试了下, 应该是可行的!

[ 本帖最后由 ChaChing 于 2008-12-21 15:12 编辑 ]

ch_j1985

谢谢ChaChing，有时间再试试！

elitecn

好贴，真正叫集中大家的智慧啊

Happy99

10F的想法, 有空试了下!:@)
好像并不适用, 虽然可以warp上图形, 但会有点变形
官网找了下, 好像有一现成的, 不过还没试

qibbxxt

回复 Happy99 的帖子

有个hatch的函数，可以参考一下
http://forum.simwe.com/viewthrea ... p;page=1#pid2154618

qibbxxt

hatch函数：来自mathworks官方

1. function  hatch(obj,angle,color,style,step,width)
   
2. % HATCH  Hatches a two-dimensional domain.
   
3. %     Somewhat similar to the FILL command but fills the closed
   
4. %     contour with hatched lines instead of uniform color.
   
5. %     The boundary line(s) must be created prior to this command
   
6. %     and its handle(s) specified by OBJ argument.
   
7. %   HATCH(OBJ) Hatchs the domain bounded by the Xdata and Ydata
   
8. %     properties of the OBJ (can be line or patch type).
   
9. %   HATCH by itself takes as OBJ the last object created in the
   
10. %     current axes.
    
11. %   HATCH(OBJ,ANGLE,COLOR,STYLE,STEP,WIDTH) Specifies additional
    
12. %     parameters:  slope of the hatches (in degrees),
    
13. %     their color ([red green blue], or 'r','g','b','w','y','c','m')
    
14. %     the linestyle ('-','--','-.',':') and also the steps
    
15. %     (distances between hatches) and the linewidth (thickness)
    
16. %     of the hatch lines (the last two in points).
    
17. %     All arguments are optional but must be in the given order.
    
18. %     They also can be grouped in two vectors for convenience:
    
19. %   HATCH(OBJ,[ANGLE STEP WIDTH],[COLOR STYLE]), where the last
    
20. %     argument is a string: 'w--', '-.y' are both legal notations.
    
21. %   LH = HATCH(OBJ) also returns the handle of a hatch line.
    
22. %     OBJ can be a vector of several handles, in which case the
    
23. %     composite boundary is hatched. If one contour lies within
    
24. %     another, then the first one will appear as a "hole" in the
    
25. %     outer contour.
    
26. %
    
27. %     Examples:
    
28. %   HATCH(L,30,[1 0 0],'--',8,2) or
    
29. %   HATCH(L,[30 8 2],'r--')    Hatchs a domain
    
30. %     bounded by the contour L with red dashed lines of 2-point
    
31. %     thickness and 8-point steps, inclined at 30 degrees
    
32. %     to the x-axis.
    
33. %   HATCH([L1 L2],'CROSS')  Hatches the domain with composite
    
34. %     boundary [L1 L2] with hatch parameters specified by the
    
35. %     "macro" 'CROSS'  (in this case two crossed hatches).
    
36. %
    
37. %        Type HATCH('demo') to see all the macro effects available
    
38. %
    
39. %     See also FILL, LINE, PATCH
    
40. 
    
41. %  Kirill K. Pankratov,  kirill@plume.mit.edu
    
42. %  April 27 1994
    
43. %
    
44. %  Modified for Matlab 5+, Iram Weinstein weinsteini@saic.com
    
45. %  May 10, 2001
    
46. 
    
47. 
    
48. 
    
49. % Defaults ............
    
50. angledflt = 45;        % Angle in degrees
    
51. colordflt = [1 1 1];   % Color
    
52. styledflt = '-';       % Linestyle
    
53. widthdflt = 1;         % Thickness of the lines
    
54. stepdflt = 10;         % Distance between hatches
    
55. widthdflt = 1;         % Thickness of the lines
    
56. 
    
57. %macros .....................
    
58. macros={ 'hor'  '0.1        ,''w''';
    
59.         'ver'  '90.1,''w''';
    
60.         'thick'     '[45 10 2],''w''';     % Thicker hatch lines
    
61.         'thicky'    '[45 10 2],''y''';
    
62.         'Thick'     '[45 10 2],''w''';
    
63.         'dense'     '[45 5]';            % Denser lines
    
64.         'Dense'     '[45 3]';
    
65.         'fill'      '[45 1 1]';        % Fills almost uniformly
    
66.         'filly'     '[45 1 1],''y''';
    
67.         'rare'      '[45 15]';
    
68.         'Rare'      '[45 20]';
    
69.         'rarethick' '[45 15 2]';
    
70.         'cross'     '45 135';            % Two crossed hatches
    
71.         'plus'      '1 90.1'};
    
72. argcount=nargin;
    
73. % Handle input ::::::::::::::::::::::::::::::::::::::::::::::::::
    
74. % Check for macros ................
    
75. ismacro = 0;
    
76. if argcount==2
    
77.         if isstr(angle)
    
78.                 macro = angle; ismacro = 1; angle = angledflt;
    
79.         end
    
80. elseif argcount == 1
    
81.         if isstr(obj),
    
82.                 if strcmp(obj,'demo'),
    
83.                         demo;
    
84.                         return
    
85.                 else
    
86.                         macro = obj; ismacro = 1; argcount = 0;
    
87.                 end
    
88.         end
    
89. end
    
90. 
    
91. if argcount==0   % Find the object on figure
    
92.         ch = get(gca,'child');
    
93.         if ~isempty(ch), obj = ch(1);
    
94.         else
    
95.                 disp([10 '  Error: no object to hatch is found ' 10])
    
96.                 return
    
97.         end
    
98. end
    
99. 
    
100. %  Hatch with macros ..........................................
     
101. if ismacro
     
102.         match=strcmp(macros(:,1),macro);
     
103.         if ~any(match),
     
104.                 disp([10 '  Macro is not found' 10]), return
     
105.         end
     
106.         call=macros(match,:);
     
107.         call=call{2};
     
108.         isbr = cumsum((call=='[')-(call==']'));
     
109.         lc = length(call);
     
110.         n0 = [0 find(call==' '&isbr==0) lc];
     
111.         for jf = 2:length(n0)
     
112.                 if nargout == 0, out = '';
     
113.                 elseif nargout==1, out = ['lh(' num2str(jf-1) ')='];
     
114.                 end
     
115.                 str = [out 'hatch(obj,' call(n0(jf-1)+1:n0(jf)) ');'];
     
116.                 eval(str)
     
117.         end
     
118.         return
     
119. end
     
120. 
     
121. if argcount<6, width = widthdflt; end
     
122. if argcount<5, step = stepdflt;   end
     
123. if argcount<4, style = styledflt; end
     
124. if argcount<3, color = colordflt; end
     
125. if argcount<2, angle = angledflt; end
     
126. 
     
127. % Check for step and width in one vector
     
128. if length(angle)>1
     
129.         step = angle(2);
     
130.         if length(angle)>2, width = angle(3); end
     
131.         angle = angle(1);
     
132. end
     
133. % Check for color and style in one string
     
134. if isstr(color)
     
135.         A = color(ones(8,1),:)==setstr(ones(length(color),1)*'wyrgbcmk')';
     
136.         n0 = find(any(A));
     
137.         str = color(any(A)==0);
     
138.         if ~isempty(n0), color = color(n0); end
     
139.         if ~isempty(str)
     
140.                 iss = strcmp(str,'-')|strcmp(str,'--')|strcmp(str,'-.');
     
141.                 if iss|strcmp(str,':'), style = str; end
     
142.         end
     
143. end
     
144. 
     
145. % Check for the object to be line or patch
     
146. typ = get(obj(1),'type');
     
147. if ~(strcmp(typ,'line')|strcmp(typ,'patch'))
     
148.         disp([10 '  Error: object must be either line or patch ' 10])
     
149.         return
     
150. end
     
151. 
     
152. angle = angle*pi/180;             % Degrees to radians
     
153. % Combine all objects into a single contour
     
154. x = []; y = [];
     
155. for jo = 1:length(obj)% Get x,y
     
156.         xx=get(obj(jo),'xdata');
     
157.         x = [x xx(:).'];
     
158.         yy=get(obj(jo),'ydata');
     
159.         y = [y yy(:).'];
     
160.         if jo == 1,
     
161.                 yi = find(~isnan(x)&~isnan(y));
     
162.                 if ~isempty(yi), n0 = yi(1); x0 = x(n0); y0 = y(n0);
     
163.                 else, x0 = 0; y0 = 0;
     
164.                 end
     
165.         end
     
166.         x = [x x0]; y = [y y0];         % Close loop
     
167. end
     
168. yi = find(~isnan(x)&~isnan(y));
     
169. x = x(yi); y = y(yi);                       % Remove NaN's
     
170. ll = length(x);
     
171. 
     
172. % Transform the coordinates .............................
     
173. oldu = get(gca,'units');
     
174. set(gca,'units','points')
     
175. sza = get(gca,'pos'); sza = sza(3:4);
     
176. xlim = get(gca,'xlim');
     
177. ylim = get(gca,'ylim');
     
178. islx = strcmp(get(gca,'xscale'),'log');
     
179. isly = strcmp(get(gca,'yscale'),'log');
     
180. if islx     % If log scale in x
     
181.         xlim = log10(xlim);
     
182.         x = log10(x);
     
183. end
     
184. if isly     % If log scale in y
     
185.         ylim = log10(ylim);
     
186.         y = log10(y);
     
187. end
     
188. xsc = sza(1)/(xlim(2)-xlim(1)+eps);
     
189. ysc = sza(2)/(ylim(2)-ylim(1)+eps);
     
190. 
     
191. ca = cos(angle); sa = sin(angle);
     
192. x0 = mean(x); y0 = mean(y);  % Central point
     
193. x = (x-x0)*xsc; y = (y-y0)*ysc;
     
194. yi = x*ca+y*sa;              % Rotation
     
195. y = -x*sa+y*ca;
     
196. x = yi;
     
197. y = y/step;    % Make steps equal to one
     
198. 
     
199. % Compute the coordinates of the hatch line ...............
     
200. yi = ceil(y);
     
201. ll = length(y);
     
202. yd = [yi(2:ll)-yi(1:ll-1) 0];
     
203. dm = max(abs(yd));
     
204. fnd = find(yd);
     
205. lfnd = length(fnd);
     
206. A = sign(yd(fnd));
     
207. edm = ones(dm,1);
     
208. A = A(edm,:);
     
209. if size(A,1)>1, A = cumsum(A); end
     
210. fnd1 = find(abs(A)<=abs(yd(edm,fnd)));
     
211. A = A+yi(edm,fnd)-(A>0);
     
212. xy = (x(fnd+1)-x(fnd))./(y(fnd+1)-y(fnd));
     
213. xi = x(edm,fnd)+(A-y(edm,fnd)).*xy(edm,:);
     
214. yi = A(fnd1);
     
215. xi = xi(fnd1);
     
216. 
     
217. % Sorting points of the hatch line ........................
     
218. li = length(xi);
     
219. xi0 = min(xi); xi1 = max(xi);
     
220. yi0 = min(yi); yi1 = max(yi);
     
221. ci = yi*(xi1-xi0)+xi;
     
222. [ci,num] = sort(ci);
     
223. xi = xi(num); yi = yi(num);
     
224. if floor(li/2)~=li/2
     
225.         xi = [xi xi(li)];
     
226.         yi = [yi yi(li)];
     
227. end
     
228. 
     
229. % Organize to pairs and separate by  NaN's ................
     
230. li = length(xi);
     
231. xi = reshape(xi,2,li/2);
     
232. yi = reshape(yi,2,li/2);
     
233. xi = [xi; ones(1,li/2)*nan];
     
234. yi = [yi; ones(1,li/2)*nan];
     
235. xi = xi(:)'; yi = yi(:)';
     
236. 
     
237. % Transform to the original coordinates ...................
     
238. yi = yi*step;
     
239. xy = xi*ca-yi*sa;
     
240. yi = xi*sa+yi*ca;
     
241. xi = xy/xsc+x0;
     
242. yi = yi/ysc+y0;
     
243. if islx, xi = 10.^xi; end
     
244. if isly, yi = 10.^yi; end
     
245. 
     
246. % Now create a line to hatch ..............................
     
247. ax=axis;
     
248. lh = line('xdata',xi,'ydata',yi);
     
249. set(lh,'linewidth',width);
     
250. set(lh,'color',color)
     
251. set(lh,'linestyle',style)
     
252. set(gca,'units',oldu)   % Set axes units back
     
253. axis(ax);
     
254. %------------------------
     
255. function demo
     
256. figure
     
257. subplot 211
     
258. h=bar(ones(2,7))
     
259. axis([0.6 1.4 0 1.3])
     
260. set(gca,'color',[1 1 1]*0.9,'XTickLabel','','YTickLabel','')
     
261. hatch(h(1),'hor')
     
262. hatch(h(2),'ver')
     
263. hatch(h(3),'thick')
     
264. hatch(h(4),'thicky')
     
265. hatch(h(5),'Thick')
     
266. hatch(h(6),'dense')
     
267. hatch(h(7),'Dense')
     
268. 
     
269. x=0.65+[0 1 2 3 4 5 6]*.11;
     
270. y=1.1*ones(size(x));
     
271. string=char({'hor', 'ver', 'thick','thicky','Thick','dense','Dense'});
     
272. text(x,y,string);
     
273. 
     
274. subplot 212
     
275. h=bar(ones(2,7))
     
276. axis([0.6 1.4 0 1.3])
     
277. set(gca,'color',[1 1 1]*0.9,'XTickLabel','','YTickLabel','')
     
278. hatch(h(1),'fill')
     
279. hatch(h(2),'filly')
     
280. hatch(h(3),'rare')
     
281. hatch(h(4),'Rare')
     
282. hatch(h(5),'rarethick')
     
283. hatch(h(6),'cross')
     
284. hatch(h(7),'plus')
     
285. string=char({'fill','filly','rare','Rare','rarethick','cross','plus'});
     
286. text(x,y,string);

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