Timeline for Efficient conditional Mean[] on a large data set
Current License: CC BY-SA 3.0
17 events
when toggle format | what | by | license | comment | |
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Feb 13, 2012 at 14:39 | vote | accept | 500 | ||
Feb 12, 2012 at 22:55 | answer | added | halirutan | timeline score: 7 | |
Feb 12, 2012 at 20:16 | answer | added | halirutan | timeline score: 5 | |
Feb 12, 2012 at 17:20 | answer | added | acl | timeline score: 9 | |
Feb 12, 2012 at 16:59 | answer | added | Leonid Shifrin | timeline score: 20 | |
Feb 12, 2012 at 15:08 | comment | added | Szabolcs |
You can use data = Uncompress@Import["data.dat.gz", "String"]; . Import and Export will automatically handle compressing to or uncompressing from gz if they detect that the file is gzip-compressed.
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Feb 12, 2012 at 15:04 | comment | added | 500 | @Szabolcs, thank you, how do you then import the data in the correct format ? | |
Feb 12, 2012 at 15:02 | comment | added | Szabolcs |
Export["data.dat.gz", Compress[AK6], "String"] . Compress gives an ASCII (i.e. 7-bit) string, so I did an additional gzip compression in Export to shave off some 10-12%. Ideally one could just Export to WDX (which I think is already compressed) but with this amount of data it is just too slow.
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Feb 12, 2012 at 14:59 | history | tweeted | twitter.com/#!/StackMma/status/168710793070788608 | ||
Feb 12, 2012 at 14:42 | comment | added | 500 | @Szabolcs, how did you compress the file? Worth a new question ? | |
Feb 12, 2012 at 14:23 | comment | added | Szabolcs | I compressed and re-uploaded the file---it was way too big at 35 MB. | |
Feb 12, 2012 at 14:22 | history | edited | Szabolcs | CC BY-SA 3.0 |
added 41 characters in body
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Feb 12, 2012 at 14:16 | answer | added | Mr.Wizard | timeline score: 14 | |
Feb 12, 2012 at 14:10 | answer | added | Heike | timeline score: 30 | |
Feb 12, 2012 at 14:07 | history | edited | rm -rf♦ | CC BY-SA 3.0 |
deleted 66 characters in body; edited tags; edited title
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Feb 12, 2012 at 14:05 | history | edited | Szabolcs | CC BY-SA 3.0 |
added 10 characters in body; edited tags
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Feb 12, 2012 at 13:51 | history | asked | 500 | CC BY-SA 3.0 |