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  • App crashes only after second execution only in Release configuration

    - by denbec
    Hey all, i know this is probably not an easy question to answer, as it's hard to describe on my hand. I have an app that runs without problems on the device in Debug Configuration (also multiple times). Once I put it into Release Configuration (which I need before publishing?), the app starts without problems and I can proceed to the next page, where I show an core-plot graph. BUT only if I run it from xcode. As soon as I end the App and start it again, it opens without problems, but on the next page, it crashes. Now I don't have anything to debug other than the crash report: Exception Type: EXC_BAD_ACCESS (SIGSEGV) Exception Codes: KERN_INVALID_ADDRESS at 0xcf10000a Crashed Thread: 0 Thread 0 Crashed: 0 libobjc.A.dylib 0x000026f2 objc_msgSend + 14 1 StandbyCheck 0x0001fbea -[CPXYTheme newGraph] (CPXYTheme.m:36) 2 StandbyCheck 0x00007c06 -[SCGraphCell initWithStyle:reuseIdentifier:] (SCGraphCell.m:28) 3 StandbyCheck 0x00076b4a -[TTTableViewDataSource tableView:cellForRowAtIndexPath:] (TTTableViewDataSource.m:128) 4 UIKit 0x0007797a -[UITableView(UITableViewInternal) _createPreparedCellForGlobalRow:withIndexPath:] + 514 5 UIKit 0x000776b0 -[UITableView(UITableViewInternal) _createPreparedCellForGlobalRow:] + 28 6 UIKit 0x00037e78 -[UITableView(_UITableViewPrivate) _updateVisibleCellsNow] + 940 7 UIKit 0x000367d4 -[UITableView layoutSubviews] + 176 8 StandbyCheck 0x000734b8 -[TTTableView layoutSubviews] (TTTableView.m:226) [...] Now, can someone point in any direction? What are the differences in Debug/Release Modes? How could I possibly debug this failure? I've been searching for hours now, please help me :( Thanks, Dennis

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  • Cannot change font size /type in plots

    - by Sameet Nabar
    I recently had to re-install my operating system (Ubuntu). The only thing I did differently is that I installed Matlab on a separate partition, not the main Ubuntu partition. After re-installing, the fonts in my plots are no longer configurable. For example, if I ask the title font to be bold, it doesn't happen. I ran the sample code below on my computer and then on my colleague's computer and the 2 results are attached. This cannot be a problem with the code; rather in the settings of Matlab. Could somebody please tell me what settings I need to change? Thanks in advance for your help. Regards, Sameet. x1=-pi:.1:pi; x2=-pi:pi/10:pi; y1=sin(x1); y2=tan(sin(x2)) - sin(tan(x2)); [AX,H1,H2]=plotyy(x1,y1,x2,y2); xlabel ('Time (hh:mm)'); ylabel (AX(1), 'Plot1'); ylabel (AX(2), 'Plot2'); axes(AX(2)) set(H1,'linestyle','none','marker','.'); set(H2,'linestyle','none','marker','.'); title('Plot Title','FontWeight','bold'); set(gcf, 'Visible', 'off'); [legh, objh] = legend([H1 H2],'Plot1', 'Plot2','location','Best'); set(legend,'FontSize',8); print -dpng Trial.png; Bad image: http://imageshack.us/photo/my-images/708/trial1u.png/ Good image: http://imageshack.us/photo/my-images/87/trial2.png/

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  • How to find "y" values of the already estimated monotone function of the non-monotone regression curve corresponding to the original "x" points?

    - by parenthesis
    The title sounds complicated but that is what I am looking for. Focus on the picture. ## data x <- c(1.009648,1.017896,1.021773,1.043659,1.060277,1.074578,1.075495,1.097086,1.106268,1.110550,1.117795,1.143573,1.166305,1.177850,1.188795,1.198032,1.200526,1.223329,1.235814,1.239068,1.243189,1.260003,1.262732,1.266907,1.269932,1.284472,1.307483,1.323714,1.326705,1.328625,1.372419,1.398703,1.404474,1.414360,1.415909,1.418254,1.430865,1.431476,1.437642,1.438682,1.447056,1.456152,1.457934,1.457993,1.465968,1.478041,1.478076,1.485995,1.486357,1.490379,1.490719) y <- c(0.5102649,0.0000000,0.6360097,0.0000000,0.8692671,0.0000000,1.0000000,0.0000000,0.4183691,0.8953987,0.3442624,0.0000000,0.7513169,0.0000000,0.0000000,0.0000000,0.0000000,0.1291901,0.4936121,0.7565551,1.0085108,0.0000000,0.0000000,0.1655482,0.0000000,0.1473168,0.0000000,0.0000000,0.0000000,0.1875293,0.4918018,0.0000000,0.0000000,0.8101771,0.6853480,0.0000000,0.0000000,0.0000000,0.0000000,0.4068802,1.1061434,0.0000000,0.0000000,0.0000000,0.0000000,0.0000000,0.0000000,0.0000000,0.0000000,0.0000000,0.6391678) fit1 <- c(0.5102649100,0.5153380934,0.5177234836,0.5255544980,0.5307668662,0.5068087080,0.5071001179,0.4825657520,0.4832969250,0.4836378194,0.4842147729,0.5004039310,0.4987301366,0.4978800742,0.4978042478,0.4969807064,0.5086987191,0.4989497612,0.4936121200,0.4922210302,0.4904593166,0.4775197108,0.4757040857,0.4729265271,0.4709141776,0.4612406896,0.4459316517,0.4351338346,0.4331439717,0.4318664278,0.3235179189,0.2907908968,0.1665721429,0.1474035158,0.1443999345,0.1398517097,0.1153991839,0.1142140393,0.1022584672,0.1002410843,0.0840033244,0.0663669309,0.0629119398,0.0627979240,0.0473336492,0.0239237481,0.0238556876,0.0084990298,0.0077970954,0.0000000000,-0.0006598571) fit2 <- c(-0.0006598571,0.0153328298,0.0228511733,0.0652889427,0.0975108758,0.1252414661,0.1270195143,0.1922510501,0.2965234797,0.3018551305,0.3108761043,0.3621749370,0.4184150225,0.4359301495,0.4432114081,0.4493565757,0.4510158144,0.4661865431,0.4744926045,0.4766574718,0.4796937554,0.4834718810,0.4836125426,0.4839450098,0.4841092849,0.4877317306,0.4930561638,0.4964939389,0.4970089201,0.4971376528,0.4990394601,0.5005881678,0.5023814257,0.5052125977,0.5056691690,0.5064254338,0.5115481820,0.5117259449,0.5146054557,0.5149729419,0.5184178197,0.5211542908,0.5216215426,0.5216426533,0.5239797875,0.5273573222,0.5273683002,0.5293994824,0.5295130266,0.5306236672,0.5307303109) ## picture plot(x, y) ## red regression curve points(x, fit1, col=2); lines(x, fit1, col=2) ## blue monotonic curve to the regression points(min(x) + cumsum(c(0, rev(diff(x)))), rev(fit2), col="blue"); lines(min(x) + cumsum(c(0, rev(diff(x)))), rev(fit2), col="blue") ## "x" original point matches with the regression estimated point ## but not with the estimated (fit2=estimate) monotonic curve abline(v=1.223329, lty=2, col="grey") Focus on the dashed grey line. The idea is to get y value of the monotonic blue curve corresponding to x original value. The grey line should cross three points (the original one "black", the regression estimate "red", the adjusted regression estimate "blue"). Can we do this? Methodology: The object "fit2" is the output of the function rearrangement(). It is always monotonically increasing. library(Rearrangement) fit2 <- rearrangement(x=as.data.frame(x), y=fit1)

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  • How to code a time delay between plotting points in JFreeCharts?

    - by Javajava
    Is there a way to animate the plotting process of an xy-line chart using JFreeCharts? I want to be able to watch the program draw each line segment and connect them. For example, if I paste this into the TextArea, "gtgtaaacaatatatggcg," I want to watch it graph each line segment one by one. Thanks in advance! :) My code is below: import java.util.Scanner; import java.applet.Applet; import java.awt.; import java.awt.event.ActionListener; import java.awt.event.ActionEvent; import org.jfree.chart.; import org.jfree.chart.plot.PlotOrientation; import org.jfree.data.xy.*; public class RandomWalkComplete extends Applet implements ActionListener { Panel panel; TextArea textarea, outputArea; Button move,exit; String thetext; Scanner reader = new Scanner(System.in); String thetext2; Label instructions; int x,y; public void init() { setSize(500,250); //set size of applet instructions=new Label("Paste the gene sequences in the " + "text field and press the graph button."); add(instructions); panel = new Panel(); add(panel); setVisible(true); textarea= new TextArea(10,20); add(textarea); move=new Button("Graph"); move.addActionListener(this); add(move); exit=new Button("Exit"); exit.addActionListener(this); add(exit); } public void actionPerformed(ActionEvent e) { XYSeries series = new XYSeries("DNA Walk",false,true); x= 0; y = 0; series.add(x,y); if(e.getSource() == move) { thetext=textarea.getText(); //the text is the DNA bases pasted thetext=thetext.replaceAll(" ",""); //removes spaces thetext2 = ""; for(int i=0; i<thetext.length(); i++) { char a = thetext.charAt(i); switch (a) { case 'A': case 'a'://moves right x+=1; y+=0; series.add(x,y); break; case 'C': case 'c': //moves up x+=0; y+=1; series.add(x,y); break; case 'G': case 'g': //move left x-=1; y+=0; series.add(x,y); break; case 'T': case 't'://move down x+=0; y-=1; series.add(x,y); break; default: // series.add(0,0); break; } } XYDataset xyDataset = new XYSeriesCollection(series); JFreeChart chart = ChartFactory.createXYLineChart ("DNA Random Walk", "", "", xyDataset, PlotOrientation.VERTICAL, true, true, false); ChartFrame frame1=new ChartFrame("DNA Random Walk",chart); frame1.setVisible(true); frame1.setSize(300,300); } if(e.getSource()==exit) {System.exit(0);} } public void stop(){} }

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  • How to create dynamic Scatter Plot/Matrix with labels and categories on both axis in Excel 2010?

    - by user1581900
    Let us consider a following data set: Name | Age | Hair Color ----------------------------- John | Young | Brown Sophie | Old | Blond Adam | Mature| Blond Mark | Teen | Dark Jeremy | Old | Grey Alex | Young | Brown etc... Both Age and Hair Color, can take only defined values(Young/teen/mature/old and Blond/brown/Dark/Grey). Name is the only real variable here. I want to create a Scatter Plot / Matrix that will look something like that: I know that I schould use this tool to add labels to the scatter plot. I also found this youtube video that explains how to display categories on Y-axis Moreover I need the chart to be dynamic as explained in another youtube video. How do I combine all these approaches to get a Scatter Plot with categories as values on both axis?

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  • How to plot 3D graphs in Excel from CSV data?

    - by Primx
    I have data formatted like this in a csv file: a, 1, 4, 6.0 a, 2, 42, 16.0 a, 5, 14, 69.3 a, 11, 4, 7.0 b, 1, 45, 6.0 b, 2, 45, 1.9 b, 9, 2, 4.4 b, 11, 4, 7.9 lines with first parameter a is one set of data, and first parameter b represents another set. My aim is to plot two lines on the same graph, one with points (1, 4, 6.0), (2, 42, 16.0), (5, 14, 69.3), (11, 4, 7.0) and the other with points (1, 45, 6.0), (2, 45, 1.9), (9, 2, 4.4), (11, 4, 7.9) I am able to import the data directly in MS Excel, but am not sure how to plot them. How can I plot this data?

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  • How can the crosshair of ginput be restricted to one plot?

    - by Lucas
    I wrote a small MATLAB program with a gui. Inside the gui I have, among other things, a plot in which the user should be able to select two points. For this I use the function ginput, which creates a crosshair for selection. Unfortunatley the crosshair extends the whole window and is not restricted to the plot, which doesn't look nice and is confusing for the user. How can the crosshair be restricted only to the area of the plot?

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  • How to get scrolling plot in Linux (using command-line tools)?

    - by Vi
    Supposing I have a program that prints lines with data periodically, how can I turn then info them into graphical plot that updates itself each time new line available? $ ./prog 10 44 20 66 30 55 40 58 50 59 55 58 60 77 ^C $ ./prog | scrollingplot Window appears and updates on each line printed: 80| | ---- | ---- ______...__/ | / ----- | - 40| ------------------------------- 10 20 30 40 50 60 # Note that ASCII art-style plot is just for example, # I want simple X window like in mplayer. There are enough tools for static data, but I haven't seen ones for updating data (except of ksysguard).

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  • How can a data ellipse be superimposed on a ggplot2 scatterplot?

    - by Radu
    Hi, I have an R function which produces 95% confidence ellipses for scatterplots. The output looks like this, having a default of 50 points for each ellipse (50 rows): [,1] [,2] [1,] 0.097733810 0.044957994 [2,] 0.084433494 0.050337990 [3,] 0.069746783 0.054891438 I would like to superimpose a number of such ellipses for each level of a factor called 'site' on a ggplot2 scatterplot, produced from this command: > plat1 <- ggplot(mapping=aes(shape=site, size=geom), shape=factor(site)); plat1 + geom_point(aes(x=PC1.1,y=PC2.1)) This is run on a dataset, called dflat which looks like this: site geom PC1.1 PC2.1 PC3.1 PC1.2 PC2.2 1 Buhlen 1259.5649 -0.0387975838 -0.022889782 0.01355317 0.008705276 0.02441577 2 Buhlen 653.6607 -0.0009398704 -0.013076251 0.02898955 -0.001345149 0.03133990 The result is fine, but when I try to add the ellipse (let's say for this one site, called "Buhlen"): > plat1 + geom_point(aes(x=PC1.1,y=PC2.1)) + geom_path(data=subset(dflat, site="Buhlen"),mapping=aes(x=ELLI(PC1.1,PC2.1)[,1],y=ELLI(PC1.1,PC2.1)[,2])) I get an error message: "Error in data.frame(x = c(0.0977338099339815, 0.0844334944904515, 0.0697467834016782, : arguments imply differing number of rows: 50, 211 I've managed to fix this in the past, but I cannot remember how. It seems that geom_path is relying on the same points rather than plotting new ones. Any help would be appreciated.

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  • Curve fitting: Find the smoothest function that satisfies a list of constraints.

    - by dreeves
    Consider the set of non-decreasing surjective (onto) functions from (-inf,inf) to [0,1]. (Typical CDFs satisfy this property.) In other words, for any real number x, 0 <= f(x) <= 1. The logistic function is perhaps the most well-known example. We are now given some constraints in the form of a list of x-values and for each x-value, a pair of y-values that the function must lie between. We can represent that as a list of {x,ymin,ymax} triples such as constraints = {{0, 0, 0}, {1, 0.00311936, 0.00416369}, {2, 0.0847077, 0.109064}, {3, 0.272142, 0.354692}, {4, 0.53198, 0.646113}, {5, 0.623413, 0.743102}, {6, 0.744714, 0.905966}} Graphically that looks like this: We now seek a curve that respects those constraints. For example: Let's first try a simple interpolation through the midpoints of the constraints: mids = ({#1, Mean[{#2,#3}]}&) @@@ constraints f = Interpolation[mids, InterpolationOrder->0] Plotted, f looks like this: That function is not surjective. Also, we'd like it to be smoother. We can increase the interpolation order but now it violates the constraint that its range is [0,1]: The goal, then, is to find the smoothest function that satisfies the constraints: Non-decreasing. Tends to 0 as x approaches negative infinity and tends to 1 as x approaches infinity. Passes through a given list of y-error-bars. The first example I plotted above seems to be a good candidate but I did that with Mathematica's FindFit function assuming a lognormal CDF. That works well in this specific example but in general there need not be a lognormal CDF that satisfies the constraints.

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  • Basic Matlab question

    - by sylvester
    I know this is really basic, but I am new to matlab. After opening a .fig file, how do you actually work with the data in the command line? All I see is the picture. Im not sure how to actually get the data.

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  • Can one use polygon() or equivalent in lattice and ggplot2 plots?

    - by Alex Reynolds
    Is it possible to annotate lattice (or ggplot2) figures with elements created with polygon() (or elements created with a similar function) from the graphics library? I'm not too familiar with either library beyond examples of simple graphs posted on the web and printed in Deepayan Sarkar's book. Therefore, while I have code for what I've been doing in R with the graphics library, pointing me to relevant, equivalent functions and usage examples for lattice or ggplot2 specifically would be appreciated. Thanks.

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  • CorePlot linker errors after upgrading iOS SDK

    - by JustinXXVII
    This seems like it's happened before but somehow ended up working itself out. It's happened again and I can't seem to get this fixed. I use the CorePlot Cocoa Touch framework. Everything was fine until I upgraded to the new 4.3 beta. Now my project won't compile, and is giving me linker errors for unknown symbols having to do with CorePlot. I've become a pro at adding the framework to my project, and I've checked and rechecked the instructions trying to do it again. Is there a button I can click or anything to just make this work again? I've used these instructions to try to re-add the framework, to no avail EDIT: By the way, this compiles just fine for simulator and runs graphs no problem. Compiling for the device gives me the linker errors, as follows: "_OBJC_CLASS_$_CPPlotRange", referenced from: objc-class-ref in GraphStatsWindow.o objc-class-ref in iPadGraphView.o objc-class-ref in GraphTrendView.o "_OBJC_CLASS_$_CPXYGraph", referenced from: objc-class-ref in GraphStatsWindow.o objc-class-ref in iPadGraphView.o objc-class-ref in GraphTrendView.o "_OBJC_CLASS_$_CPTextStyle", referenced from: objc-class-ref in GraphStatsWindow.o objc-class-ref in iPadGraphView.o objc-class-ref in GraphTrendView.o "_OBJC_CLASS_$_CPLineStyle", referenced from: objc-class-ref in GraphStatsWindow.o objc-class-ref in iPadGraphView.o objc-class-ref in GraphTrendView.o "_OBJC_CLASS_$_CPScatterPlot", referenced from: objc-class-ref in GraphStatsWindow.o objc-class-ref in iPadGraphView.o objc-class-ref in GraphTrendView.o "_OBJC_CLASS_$_CPAxisLabel", referenced from: objc-class-ref in GraphStatsWindow.o objc-class-ref in iPadGraphView.o objc-class-ref in GraphTrendView.o "_OBJC_CLASS_$_CPPlotSymbol", referenced from: objc-class-ref in GraphStatsWindow.o objc-class-ref in iPadGraphView.o objc-class-ref in GraphTrendView.o "_OBJC_CLASS_$_CPColor", referenced from: objc-class-ref in GraphStatsWindow.o objc-class-ref in iPadGraphView.o objc-class-ref in GraphTrendView.o "_OBJC_CLASS_$_CPFill", referenced from: objc-class-ref in GraphStatsWindow.o objc-class-ref in iPadGraphView.o objc-class-ref in GraphTrendView.o "_CPDecimalFromFloat", referenced from: -[GraphStatsWindow setNewGraph] in GraphStatsWindow.o -[iPadGraphView viewDidLoad] in iPadGraphView.o -[GraphTrendView setNewGraph] in GraphTrendView.o "_kCPPlainWhiteTheme", referenced from: -[GraphStatsWindow setNewGraph] in GraphStatsWindow.o -[iPadGraphView viewDidLoad] in iPadGraphView.o -[GraphTrendView setNewGraph] in GraphTrendView.o "_OBJC_CLASS_$_CPTheme", referenced from: objc-class-ref in GraphStatsWindow.o objc-class-ref in iPadGraphView.o objc-class-ref in GraphTrendView.o ld: symbol(s) not found for architecture armv7

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  • Pyplot connect to timer event?

    - by Baron Yugovich
    The same way I now have plt.connect('button_press_event', self.on_click) I would like to have something like plt.connect('each_five_seconds_event', self.on_timer) How can I achieve this in a way that's most similar to what I've shown above? EDIT: I tried fig = plt.subplot2grid((num_cols, num_rows), (col, row), rowspan=rowspan, colspan=colspan) timer = fig.canvas.new_timer(interval=100, callbacks=[(self.on_click)]) timer.start() And got AttributeError: 'AxesSubplot' object has no attribute 'canvas'

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  • pgf/tikz: String Symbols as Input Coordinates

    - by red_lynx
    Hi all, I'm new to pgf so i was trying out some examples from the pgfplot manual. One example is especially relevant for my current task but, alas, it would not compile. Here is the code: \documentclass[11pt]{article} \usepackage{tikz} \usepackage{pgfplots} \begin{document} \begin{tikzpicture} \begin{axis}[symbolic x coords={a,b,c,d,e,f,g,h,i}] \addplot+[smooth] coordinates { (a,42) (b,50) (c,80) (f,60) (g,62) (i,90)}; \end{axis} \end{tikzpicture} \end{document} the compiler quits with the following error: ! Package PGF Math Error: Could not parse input 'a' as a floating point number, sorry. The unreadable part was near 'a'.. I have no clue how to correct this behavior. Other plots (smooth, scatter, bar), which contain only numerical data compile fine. Could anybody give me a hint? Cheers K.

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  • Curve fitting: Find a CDF (or any function) that satisfies a list of constraints.

    - by dreeves
    I have some constraints on a CDF in the form of a list of x-values and for each x-value, a pair of y-values that the CDF must lie between. We can represent that as a list of {x,y1,y2} triples such as constraints = {{0, 0, 0}, {1, 0.00311936, 0.00416369}, {2, 0.0847077, 0.109064}, {3, 0.272142, 0.354692}, {4, 0.53198, 0.646113}, {5, 0.623413, 0.743102}, {6, 0.744714, 0.905966}} Graphically that looks like this: And since this is a CDF there's an additional implicit constraint of {Infinity, 1, 1} Ie, the function must never exceed 1. Also, it must be monotone. Now, without making any assumptions about its functional form, we want to find a curve that respects those constraints. For example: (I cheated to get that one: I actually started with a nice log-normal distribution and then generated fake constraints based on it.) One possibility is a straight interpolation through the midpoints of the constraints: mids = ({#1, Mean[{#2,#3}]}&) @@@ constraints f = Interpolation[mids, InterpolationOrder->0] Plotted, f looks like this: That sort of technically satisfies the constraints but it needs smoothing. We can increase the interpolation order but now it violates the implicit constraints (always less than one, and monotone): How can I get a curve that looks as much like the first one above as possible? Note that NonLinearModelFit with a LogNormalDistribution will do the trick in this example but is insufficiently general as sometimes there will sometimes not exist a log-normal distribution satisfying the constraints.

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  • R is plotting labels off the page.

    - by K P
    Hi. i'm running the following: png(filename="figure.png", width=900, bg="white") barplot(c(1.1, 0.8, 0.7), horiz=TRUE, border="blue", axes=FALSE, col="darkblue") axis(2, at=1:3, lab=c("elephant", "hippo", "snorkel"), las=1, cex.axis=1.3) dev.off() and the labels on the left are appearing off the page. I can't seem to figure out how to fix it. Any ideas? Thanks.

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  • Plotting 3D Polygons in python-matplotlib

    - by Developer
    I was unsuccessful browsing web for a solution for the following simple question: How to draw 3D polygon (say a filled rectangle or triangle) using vertices values? I have tried many ideas but all failed, see: from mpl_toolkits.mplot3d import Axes3D from matplotlib.collections import PolyCollection import matplotlib.pyplot as plt fig = plt.figure() ax = Axes3D(fig) x = [0,1,1,0] y = [0,0,1,1] z = [0,1,0,1] verts = [zip(x, y,z)] ax.add_collection3d(PolyCollection(verts),zs=z) plt.show() I appreciate in advance any idea/comment. Updates based on the accepted answer: import mpl_toolkits.mplot3d as a3 import matplotlib.colors as colors import pylab as pl import scipy as sp ax = a3.Axes3D(pl.figure()) for i in range(10000): vtx = sp.rand(3,3) tri = a3.art3d.Poly3DCollection([vtx]) tri.set_color(colors.rgb2hex(sp.rand(3))) tri.set_edgecolor('k') ax.add_collection3d(tri) pl.show() Here is the result:

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  • CorePlot - Set y-Axis range to include all data points

    - by zdestiny
    I have implemented a CorePlot graph in my iOS application, however I am unable to dynamically size the y-Axis based on the data points in the set. Some datasets range from 10-50, while others would range from 400-500. In both cases, I would like to have y-origin (0) visible. I have tried using the scaletofitplots method: [graph.defaultPlotSpace scaleToFitPlots:[graph allPlots]]; but this has no effect on the graphs, they still show the default Y-Axis range of 0 to 1. The only way that I can change the y-Axis is to do it manually via this: graph.defaultPlotSpace.yRange = [CPTPlotRange plotRangeWithLocation:CPTDecimalFromFloat(0.0f)) length:CPTDecimalFromFloat(500.0f)]; however this doesn't work well for graphs with smaller ranges (10-50), as you can imagine. Is there any method to retrieve the highest y-value from my dataset so that I can manually set the maximum y-Axis to that value? Or is there a better alternative?

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  • 3D plotting in Matlab

    - by Jill
    I'm using the subplot and then surf functions to generate images in 3D in Matlab. How do I get rid of the axes and axis' gridlines and change the color to all yellow or all green or something like that? Thanks.

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