Octave 3.8 has default axis scaling that scales x and y axes proportionally to the axes values. So if one axis values span a much wider range than the other axis, the smaller span axis gets very thin.
You can simply insert the line
axis(‘normal’) after imagesc()
In Matplotlib 1.3, the same issue occurs, which can be covercome with the option aspect=’auto’
You can create multiple data cursors in a plot, handy for pointing out multiple data values, by first placing your first data cursor, then right clicking and selecting “Create New Datatip”
Then you can:
* move the datatip by left-clicking and holding while moving mouse around–you can put the datatip to NW,NE,SW,SE of data point
* export datatip values to workspace — by right-clicking and selecting “Export Cursor Data to Workspace”