Log axis in ListPlot3D
- To: mathgroup at smc.vnet.net
- Subject: [mg101981] Log axis in ListPlot3D
- From: Tamara Ursem <tursem at gmail.com>
- Date: Sat, 25 Jul 2009 04:16:46 -0400 (EDT)
Is there a way to plot a log axis in ListPlot3D (or any 3D graph command) without using Ticks to explicitly plot log-scale tick marks? Basically I'm wishing there was a 3D equivalent of ListLogLinearPlot. In the example below I would like a log-scale on the x axis. I've gotten around it by plotting the data using ListPlot3D[{{xi,yi,zi}...}] and explicitly making log scale tick marks using Ticks, but feel there must be a better way. Any suggestions would be informative and helpful. T DataSet = {{1.6109253532158105`, 1.4931577390442954`, 1.4052306981890188`, 1.388296872543274`, 1.3781554168518506`, 1.2474079127007878`, 1.0502290276422424`, 1.0034557078216464`, 1.0008671342568338`}, {1.5358146282982208`, 1.4256112793494977`, 1.3428173487678112`, 1.3317869945705558`, 1.3356328822944896`, 1.2397347934946499`, 1.0551945672056298`, 1.0028855287248455`, 1.000671783940541`}, {1.5139953162744815`, 1.4051418833868858`, 1.3218676111468153`, 1.3100968560425401`, 1.314514769161855`, 1.2282950727581101`, 1.057456270622821`, 1.0026705294534184`, 1.0006008501002788`}, {1.5032365655414848`, 1.3948034202644648`, 1.3105618614439154`, 1.2971015583552705`, 1.29939460203221`, 1.2165515682146104`, 1.0578644263983146`, 1.00245332764775`, 1.0005418585714558`}, {1.496596166022759`, 1.388296671610426`, 1.3030162423489915`, 1.2876157285980994`, 1.286911837451971`, 1.2049497409600476`, 1.0567681713847892`, 1.0021888687196903`, 1.000477989945733`}, {1.491937101378952`, 1.3836497200774243`, 1.2973312782963375`, 1.2799210409774469`, 1.2759172722974215`, 1.1936531276310693`, 1.0544931624267129`, 1.0018894051966143`, 1.0004094485132045`}, {1.4883833023903117`, 1.3800466469307573`, 1.2927066242291774`, 1.2732826075441905`, 1.2659045886223095`, 1.1827397523820273`, 1.0513629505236035`, 1.00158085516665`, 1.000340683530004`}, {1.4855091720037357`, 1.3770886518249221`, 1.2887470364727123`, 1.267332566574892`, 1.2566113701205055`, 1.1722494974677973`, 1.0476764562841312`, 1.0012871064640203`, 1.000276191997608`}, {1.4830830248060742`, 1.3745577136081142`, 1.285234612455374`, 1.2618657835047442`, 1.247884894979056`, 1.162201307700846`, 1.043687496401185`, 1.001024177049763`, 1.0002190073767798`}, {1.4809679408705787`, 1.3723243237480327`, 1.2820393243799333`, 1.256759067920711`, 1.2396280066787257`, 1.152601273963195`, 1.039595397951241`, 1.0007996915280335`, 1.000170507012098`}, {1.4790778078893227`, 1.3703070125620012`, 1.27907873483818`, 1.2519328383277788`, 1.231774291526065`, 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{1.443640986292122`, 1.330655195940813`, 1.2162983689822853`, 1.1500277668941399`, 1.082883589662328`, 1.0006004237639343`, 0.987618379318219`, 1.0000000136902574`, 1.000000003033469`}, {1.4427283022446624`, 1.3296304711744906`, 1.2147248664627226`, 1.1477080078616573`, 1.0800453109903845`, 0.9986642337950767`, 0.9872483515113621`, 1.0000000096795276`, 1.000000002094961`}, {1.4418196015540914`, 1.3286111068909034`, 1.2131653731304557`, 1.1454228736887078`, 1.0772735199580188`, 0.9968012937241637`, 0.9868977253996111`, 1.0000000068545285`, 1.000000001260172`}, {1.4409147059360425`, 1.327596928811317`, 1.2116195876783529`, 1.1431715210421933`, 1.0745659709576656`, 0.9950078885322383`, 0.9865650924389932`, 1.0000000048383413`, 1.0000000007023193`}, {1.4400134537547489`, 1.32658777898598`, 1.2100872037351131`, 1.1409531009272125`, 1.0719205141597832`, 0.9932805240848078`, 0.98624916979082`, 1.0000000034079304`, 1.00000000048314`}, {1.4391157138125135`, 1.3255835123647919`, 1.2085679512651553`, 1.138766860381559`, 1.0693351064126968`, 0.991615913121838`, 0.985948786163597`, 1.0000000024025744`, 1.000000000435655`}, {1.4382213572244391`, 1.324583996172668`, 1.2070615990245812`, 1.1366120451775967`, 1.0668077920845178`, 0.9900109692540888`, 0.9856628700432148`, 1.000000001695325`, 1.0000000004282086`}, {1.437330274974189`, 1.3235891061029073`, 1.2055678876522433`, 1.1344878994352594`, 1.0643366902063367`, 0.9884627882136957`, 0.985390443282435`, 1.000000001185055`, 1.0000000002990996`}, {1.436442355999284`, 1.3225987212629668`, 1.2040865673013228`, 1.1323937504055306`, 1.0619199979241885`, 0.9869686342646133`, 0.9851306075795465`, 1.0000000008711563`, 1.0000000000993745`}, {1.435557491050822`, 1.321612731295765`, 1.2026174303579513`, 1.1303289168918496`, 1.0595560113166473`, 0.9855259297310179`, 0.9848825423112589`, 1.0000000006534284`, 0.9999999999345752`}, {1.4346755802558726`, 1.3206310354260558`, 1.20116023497795`, 1.128292720822429`, 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0.9836028520113466`, 1.000000000486371`, 1.0000000000944547`}, {1.429441842563021`, 1.3148261526309974`, 1.1926573977623414`, 1.116643280932019`, 1.0443524292670554`, 0.9766800768918418`, 0.9834190045498582`, 1.0000000003521814`, 1.000000000055686`}, {1.4285785357946756`, 1.313872169186001`, 1.1912785987425198`, 1.1147910388368145`, 1.0423556516854786`, 0.9755721749438527`, 0.9832422877709186`, 1.0000000002534335`, 1.0000000000186509`}}; ListPlot3D[DataSet, PlotRange -> All, ImageSize -> Large, AxesStyle -> Thick, TicksStyle -> Thick, DataRange -> {{1, 500}, {0., 61}}, Mesh -> None, ViewPoint -> {1, 2, 0.6}] --0016363108378e0a75046f784c17 Content-Type: text/html; charset="ISO-8859-1" Content-Transfer-Encoding: quoted-printable X-Sun-Content-Length: 14409 Is there a way to plot a log axis in ListPlot3D (or any 3D graph command) w= ithout using Ticks to explicitly plot log-scale tick marks? Basically I&= #39;m wishing there was a 3D equivalent of ListLogLinearPlot.<br><br>In the= example below I would like a log-scale on the x axis. I've gotten arou= nd it by plotting the data using ListPlot3D[{{xi,yi,zi}...}] and explicitly= making log scale tick marks using Ticks, but feel there must be a better w= ay.<br> <br>Any suggestions would be informative and helpful. <br><br>T<br><br><br>= <br>DataSet = {{1.6109253532158105`, 1.4931577390442954`, 1.4052306981890= 188`, <br> 1.388296872543274`, 1.3781554168518506`, 1.247407912700787= 8`, <br> 1.0502290276422424`, 1.0034557078216464`, <br> 1.0008671342568= 338`}, {1.5358146282982208`, 1.4256112793494977`, <br> 1.342817348767= 8112`, 1.3317869945705558`, 1.3356328822944896`, <br> 1.2397347934946= 499`, 1.0551945672056298`, 1.0028855287248455`, <br> 1.000671783940541`}, {1.5139953162744815`, 1.4051418833868858`, <br>= 1.3218676111468153`, 1.3100968560425401`, 1.314514769161855`, <br>= 1.2282950727581101`, 1.057456270622821`, 1.0026705294534184`, <br>= 1.0006008501002788`}, {1.5032365655414848`, 1.3948034202644648`, <br= > 1.3105618614439154`, 1.2971015583552705`, 1.29939460203221`, <br> = 1.2165515682146104`, 1.0578644263983146`, 1.00245332764775`, <br> = 1.0005418585714558`}, {1.496596166022759`, 1.388296671610426`, <br> = 1.3030162423489915`, 1.2876157285980994`, 1.286911837451971`, <br> 1.2049497409600476`, 1.0567681713847892`, 1.0021888687196903`, <br>= 1.000477989945733`}, {1.491937101378952`, 1.3836497200774243`, <br>= 1.2973312782963375`, 1.2799210409774469`, 1.2759172722974215`, <br>= 1.1936531276310693`, 1.0544931624267129`, 1.0018894051966143`, <br> 1.0004094485132045`}, {1.4883833023903117`, 1.3800466469307573`, <br= > 1.2927066242291774`, 1.2732826075441905`, 1.2659045886223095`, <br>= 1.1827397523820273`, 1.0513629505236035`, 1.00158085516665`, <br> = 1.000340683530004`}, {1.4855091720037357`, 1.3770886518249221`, <br> 1.2887470364727123`, 1.267332566574892`, 1.2566113701205055`, <br>= 1.1722494974677973`, 1.0476764562841312`, 1.0012871064640203`, <br>= 1.000276191997608`}, {1.4830830248060742`, 1.3745577136081142`, <br>= 1.285234612455374`, 1.2618657835047442`, 1.247884894979056`, <br> 1.162201307700846`, 1.043687496401185`, 1.001024177049763`, <br> = 1.0002190073767798`}, {1.4809679408705787`, 1.3723243237480327`, <br>= 1.2820393243799333`, 1.256759067920711`, 1.2396280066787257`, <br>= 1.152601273963195`, 1.039595397951241`, 1.0007996915280335`, <br> 1.000170507012098`}, {1.4790778078893227`, 1.3703070125620012`, <br>= 1.27907873483818`, 1.2519328383277788`, 1.231774291526065`, <br> = 1.1434470046700522`, 1.0355457243007058`, 1.0006148240846628`, <br> = 1.0001307613058152`}, {1.4773557546521028`, 1.3684517922320278`, <br> 1.2762980531367938`, 1.2473335942639714`, 1.2242756406914257`, <br>= 1.1347303690639858`, 1.0316372076779272`, 1.0004667481285427`, <br>= 1.0000990477973344`}, {1.4757627105621143`, 1.366721595314241`, <br>= 1.273659344265317`, 1.242923714352826`, 1.2170955778999324`, <br> 1.1264392950978648`, 1.0279311569826928`, 1.0003506607746855`, <br>= 1.0000742642235496`}, 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