v.extract: allow random extraction based on feature ids, not only category values

[mlennert]

I have a point vector file over 400,000 points) without attribute table. The one relevant info is stored as a category value in layer 1.

I would like to extract at random a subset of 50,000 points. v.extract random= seems like the ideal solution. However, there are only 687 different category values and thus v.extract bails out with

ERREUR :Random category count is larger or equal to uniq
        <point,line,boundary,centroid,area,face> feature category count 687

When I add category values to layer=2, I can then do the v.extract with random=50000, but it only extracts layer 2, so I lose the info in layer 1.

I can see two solutions:

• allow random selection in feature id space, not only in category space
• add flag to keep info from all other layers when extracting (which then allows to do the extraction with the extra v.category step mentioned above)

Moritz

[martinl]

Milestone renamed

[neteler]

Ticket retargeted after milestone closed

[martinl]

All enhancement tickets should be assigned to 7.6 milestone.

[martinl]

Ticket retargeted after milestone closed

[martinl]

Ticket retargeted after milestone closed