Timeline for Efficiently Visualising Very Large Data Sets (without running out of memory)
Current License: CC BY-SA 3.0
5 events
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| May 23, 2017 at 12:35 | history | edited | CommunityBot |
replaced http://stackoverflow.com/ with https://stackoverflow.com/
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| Mar 6, 2012 at 20:44 | comment | added | Sjoerd C. de Vries |
This doesn't really work. Try viewData[Tuples[{1, 2, 3, 4, 5, 6, 7, 8}, 5]] for instance.
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| Mar 6, 2012 at 15:53 | comment | added | rcollyer | @Sinistar as I point out in my answer, it is the display process itself that takes the time. Dumping your data to disk won't take anywhere near as long. | |
| Mar 6, 2012 at 15:52 | comment | added | Sinistar | Yes I use Ultraedit. It has been able to handle about anything I throw at it. But, I have to get it there first. If I try to write the contents of the variable to disk will it still hang and take three days? I suspect not because I was able to translate an algorithm from PDP11 to M! and write out a 500+ MB text file, but it did one result at a time. The alg was so ingenious it didnt need to use any memory other than a couple registers in the orginal PDP11. | |
| Mar 6, 2012 at 15:44 | history | answered | canadian_scholar | CC BY-SA 3.0 |