<html><head><style type='text/css'>p { margin: 0; }</style></head><body><div style='font-family: Times New Roman; font-size: 12pt; color: #000000'>Hello,<br><br><hr id="zwchr"><br>>De: "cascodo" <angel@ing.puc.cl><br>>À: users@lists.scilab.org<br>>Envoyé: Mercredi 29 Février 2012 21:55:30<br>>Objet: [scilab-Users] Tick marks inside plot<br>><br>>Hello<br>><br>>I am trying to position tick marks inside the plot box. Is this possible?<br><br><br>AFAIK, the only way to do that is to cancel the default axes<br>and to draw some customized ones with drawaxis(). An example <br>is given below. Since drawaxis() is bugged in logarithmic mode,<br>this is only possible for linear axes.<br><br>Regards<br>Samuel<br>-----------<br>clf<br>plot2d()<br>ax = gca();<br>ax.axes_visible = ["off" "off" "off"];<br>db = ax.data_bounds;<br>// Customized X axis<br>y = db(1,2);<br>Loc = ax.x_ticks.locations;<br>i = find(Loc>=db(1,1) & Loc<=db(2,1));<br>Lab = ax.x_ticks.labels';<br>drawaxis(dir="u",tics="v", x=Loc(i), y=y, val=Lab(i), sub_int=2, fontsize=2);<br>// Customized Y axis<br>x = db(1,1);<br>Loc = ax.y_ticks.locations;<br>i = find(Loc>=db(1,2) & Loc<=db(2,2));<br>Lab = ax.y_ticks.labels';<br>drawaxis(dir="r",tics="v", y=Loc(i), x=x, val=Lab(i), sub_int=2, fontsize=2);<br><br><img src="data:image/png;base64,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" alt=""><br></div></body></html>