Timeline for Best way to plot nearly identically overlapping data?
Current License: CC BY-SA 3.0
16 events
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| Apr 13, 2017 at 12:55 | history | edited | CommunityBot |
replaced http://mathematica.stackexchange.com/ with https://mathematica.stackexchange.com/
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| Aug 15, 2016 at 10:37 | comment | added | István Zachar |
Well, how about simply Plot[{F[x], G[x]}, {x, 0, 2}, PlotLabels -> {"One", "Two"}]?
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| Aug 15, 2016 at 9:53 | answer | added | ubpdqn | timeline score: 13 | |
| S Aug 15, 2016 at 9:08 | history | suggested | CommunityBot | CC BY-SA 3.0 |
"Title Case" is not very readable on the internet and creates confusing capitalization. Please reserve capital letters for names of things.
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| Aug 15, 2016 at 8:50 | comment | added | WalyKu | Well if you really want to create this plot, even though it won't probably be the most informative one, you could use different plot markers for each function. If you can't get the automatic legend, try to construct your own, there should be some possibilities for that. reference.wolfram.com/language/ref/PlotMarkers.html | |
| Aug 15, 2016 at 8:45 | review | Suggested edits | |||
| S Aug 15, 2016 at 9:08 | |||||
| Aug 15, 2016 at 6:05 | answer | added | Joelq | timeline score: 5 | |
| Aug 15, 2016 at 0:17 | vote | accept | Benighted | ||
| Aug 14, 2016 at 22:50 | comment | added | J. M.'s missing motivation♦ | @mikado, that is, their absolute or relative difference, or logs thereof. That's usually more informative than trying to overlay two near-identical curves anyway. | |
| Aug 14, 2016 at 22:37 | answer | added | Mr.Wizard | timeline score: 10 | |
| Aug 14, 2016 at 22:14 | history | edited | Mr.Wizard |
edited tags
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| Aug 14, 2016 at 20:57 | answer | added | Feyre | timeline score: 4 | |
| Aug 14, 2016 at 20:49 | answer | added | m_goldberg | timeline score: 11 | |
| Aug 14, 2016 at 20:33 | history | edited | m_goldberg | CC BY-SA 3.0 |
Routine clean-up
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| Aug 14, 2016 at 20:01 | comment | added | mikado | I would plot the difference or the (log) ratio. I don't think you can reasonably show the total variation of the functions and their difference on the same plot. | |
| Aug 14, 2016 at 19:47 | history | asked | Benighted | CC BY-SA 3.0 |