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• Matlab - plot multiple data sets on a scatter plot

  - by Mark

  Hey all, I have 2 sets of data (Ax, Ay; Bx, By) - I'd like to plot both of these data sets on a scatter plot with different colors, but can't seem to get it to work because it seems scatter() does not work like plot(). Is it possible to do this? I've tried... scatter(Ax, Ay, 'g', Bx, By, 'b') And scatter(Ax, Ay, 'g') scatter(Bx, By, 'b') The first way returns an error. The latter only plots the Bx/By data. Many thanks!

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• Qwt plot not working , simple plot curve not appeat

  - by user1629213

  I followed the example of simple plot in qwt examples to plot a curve. The axis and the graph appear in the Qt main window user interface but the curve not. I assigned values to fit the curve but the curve not appear. Any suggestions and help how to solve the problem? Here is my code MainWindow::MainWindow( int argc, char** argv, QWidget *parent ) : QMainWindow( parent ) , qnode( argc,argv ) { ui.setupUi( this ); // Calling this incidentally connects all ui's triggers to on_...() callbacks in this class. QObject::connect( ui.actionAbout_Qt, SIGNAL( triggered( bool )), qApp, SLOT( aboutQt( ))); // qApp is a global variable for the application ReadSettings( ); setWindowIcon( QIcon( ":/images/icon.png" )); ui.tab_manager->setCurrentIndex( 0 ); // ensure the first tab is showing - qt-designer should have this already hardwired, but often loses it (settings?). QObject::connect( &qnode, SIGNAL( rosShutdown( )), this, SLOT( close( ))); /********************* ** Logging **********************/ ui.view_logging->setModel( qnode.loggingModel( )); QObject::connect( &qnode, SIGNAL( loggingUpdated( )), this, SLOT( updateLoggingView( ))); QObject::connect( &qnode, SIGNAL( graphReceived( )), this, SLOT( onGraphReceived( ))); QObject::connect( &qnode, SIGNAL( parameterReceived( )), this, SLOT( onParameterReceived( ))); /********************* ** Auto Start **********************/ if ( ui.checkbox_remember_settings->isChecked( )) { on_button_connect_clicked( true ); } ui.parameters->setAttribute( Qt::WA_NoMousePropagation ); ui.parameters->setAttribute( Qt::WA_OpaquePaintEvent ); ui.plotgraph->setAttribute( Qt::WA_NoMousePropagation ); ui.plotgraph->setAttribute( Qt::WA_OpaquePaintEvent ); p_plot = new QwtPlot(ui.plotgraph); p_plot->setTitle( "Plot LinVel" ); p_plot->setCanvasBackground( Qt::white ); // Axis p_plot->setAxisTitle( QwtPlot::xBottom, "Time(sec)" ); p_plot->setAxisTitle( QwtPlot::yLeft, "Linear Velocity (m/sec)" ); p_plot->setAxisScale( QwtPlot::yLeft, 0.0, 10.0 ); p_plot->setAxisScale( QwtPlot::xBottom, 0.0, 50.0 ); p_plot->insertLegend( new QwtLegend() ); //samplingThread.start(); QwtPlotGrid *grid = new QwtPlotGrid(); grid->attach( p_plot ); curve = new QwtPlotCurve(); curve->setTitle( "Linear velocity" ); // Set curve styles curve->setPen( Qt::blue, 4 ), curve->setRenderHint( QwtPlotItem::RenderAntialiased, true ); QwtSymbol *symbol = new QwtSymbol( QwtSymbol::Ellipse, QBrush( Qt::yellow), QPen( Qt::red, 2 ), QSize( 8, 8 ) ); curve->setSymbol( symbol); // Assign values to the curve //curve->setSamples(ui.plotgraph.get_linv_g());//yaw_g,trav_g,wall_g; curve->attach( p_plot ); p_plot->resize( 600, 400 ); p_plot->show(); void MainWindow::onGraphReceived( ) { { QMutexLocker locker( &qnode.m_mutex ); } } void MainWindow::onParameterReceived( ) { { QMutexLocker locker( &qnode.m_mutex ); std::vector<double> p_ = qnode.get_parameters(); std::cout << p_[0]<<" "<<p_[1]<<" "<<p_[2]<<" "<<p_[3]<<" "<<p_[4] << std::endl; } } Any help?

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• How to draw line inside a scatter plot

  - by ruffy

  I can't believe that this is so complicated but I tried and googled for a while now. I just want to analyse my scatter plot with a few graphical features. For starters, I want to add simply a line. So, I have a few (4) points and like in this plot [1] I want to add a line to it. http://en.wikipedia.org/wiki/File:ROC_space-2.png [1] Now, this won't work. And frankly, the documentation-examples-gallery combo and content of matplotlib is a bad source for information. My code is based upon a simple scatter plot from the gallery: # definitions for the axes left, width = 0.1, 0.85 #0.65 bottom, height = 0.1, 0.85 #0.65 bottom_h = left_h = left+width+0.02 rect_scatter = [left, bottom, width, height] # start with a rectangular Figure fig = plt.figure(1, figsize=(8,8)) axScatter = plt.axes(rect_scatter) # the scatter plot: p1 = axScatter.scatter(x[0], y[0], c='blue', s = 70) p2 = axScatter.scatter(x[1], y[1], c='green', s = 70) p3 = axScatter.scatter(x[2], y[2], c='red', s = 70) p4 = axScatter.scatter(x[3], y[3], c='yellow', s = 70) p5 = axScatter.plot([1,2,3], "r--") plt.legend([p1, p2, p3, p4, p5], [names[0], names[1], names[2], names[3], "Random guess"], loc = 2) # now determine nice limits by hand: binwidth = 0.25 xymax = np.max( [np.max(np.fabs(x)), np.max(np.fabs(y))] ) lim = ( int(xymax/binwidth) + 1) * binwidth axScatter.set_xlim( (-lim, lim) ) axScatter.set_ylim( (-lim, lim) ) xText = axScatter.set_xlabel('FPR / Specificity') yText = axScatter.set_ylabel('TPR / Sensitivity') bins = np.arange(-lim, lim + binwidth, binwidth) plt.show() Everything works, except the p5 which is a line. Now how is this supposed to work? What's good practice here?

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• Add gridlines to a output plot in Mathemaitca

  - by xslittlegrass

  I'm trying to add gridlines to a output density plot in Mathematica. The plot is generated by a long calculation in Mathematica and when I do the plot I forget to add the Mesh-True options. I don't want to do all the calculation and generate the plot again since it takes a long time. Is that possible to add the gridlines or mesh lines to plot ONLY using the output plot at hand? For example, If I have a plot p. Is it possible to add the mesh lines ONLY manipulate p? In a ordinary one dimensional plot, this will work p1 = Plot[Sin[x], {x, -3, 3}]; Insert[p1, GridLines -> Automatic, -1] But when I try the density plot, it seems the gridlines is always under the plot, and can be seen only at the image margin area. p2 = DensityPlot[Sin[x + y^2], {x, -3, 3}, {y, -2, 2}, PlotRangePadding -> 0.2]; Insert[p2, GridLines -> Automatic, -1] Updata The Mesh option on the output plot will not work because Mesh is not a options of a Graphics: Show[p2,Mesh->True] will give a message "an unrecoginzed option name(Mesh) was encountered while rendering a Graphics" Thanks.

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• Core Plot never stops asking for data, hangs device

  - by Ben Collins

  I'm trying to set up a core plot that looks somewhat like the AAPLot example on the core-plot wiki. I have set up my plot like this: - (void)initGraph:(CPXYGraph*)graph forDays:(NSUInteger)numDays { self.cplhView.hostedLayer = graph; graph.paddingLeft = 30.0; graph.paddingTop = 20.0; graph.paddingRight = 30.0; graph.paddingBottom = 20.0; CPXYPlotSpace *plotSpace = (CPXYPlotSpace*)graph.defaultPlotSpace; plotSpace.xRange = [CPPlotRange plotRangeWithLocation:CPDecimalFromFloat(0) length:CPDecimalFromFloat(numDays)]; plotSpace.yRange = [CPPlotRange plotRangeWithLocation:CPDecimalFromFloat(0) length:CPDecimalFromFloat(1)]; CPLineStyle *lineStyle = [CPLineStyle lineStyle]; lineStyle.lineColor = [CPColor blackColor]; lineStyle.lineWidth = 2.0f; // Axes NSLog(@"Setting up axes"); CPXYAxisSet *xyAxisSet = (id)graph.axisSet; CPXYAxis *xAxis = xyAxisSet.xAxis; // xAxis.majorIntervalLength = CPDecimalFromFloat(7); // xAxis.minorTicksPerInterval = 7; CPXYAxis *yAxis = xyAxisSet.yAxis; // yAxis.majorIntervalLength = CPDecimalFromFloat(0.1); // Line plot with gradient fill NSLog(@"Setting up line plot"); CPScatterPlot *dataSourceLinePlot = [[[CPScatterPlot alloc] initWithFrame:graph.bounds] autorelease]; dataSourceLinePlot.identifier = @"Data Source Plot"; dataSourceLinePlot.dataLineStyle = nil; dataSourceLinePlot.dataSource = self; [graph addPlot:dataSourceLinePlot]; CPColor *areaColor = [CPColor colorWithComponentRed:1.0 green:1.0 blue:1.0 alpha:0.6]; CPGradient *areaGradient = [CPGradient gradientWithBeginningColor:areaColor endingColor:[CPColor clearColor]]; areaGradient.angle = -90.0f; CPFill *areaGradientFill = [CPFill fillWithGradient:areaGradient]; dataSourceLinePlot.areaFill = areaGradientFill; dataSourceLinePlot.areaBaseValue = CPDecimalFromString(@"320.0"); // OHLC plot NSLog(@"OHLC Plot"); CPLineStyle *whiteLineStyle = [CPLineStyle lineStyle]; whiteLineStyle.lineColor = [CPColor whiteColor]; whiteLineStyle.lineWidth = 1.0f; CPTradingRangePlot *ohlcPlot = [[[CPTradingRangePlot alloc] initWithFrame:graph.bounds] autorelease]; ohlcPlot.identifier = @"OHLC"; ohlcPlot.lineStyle = whiteLineStyle; ohlcPlot.stickLength = 2.0f; ohlcPlot.plotStyle = CPTradingRangePlotStyleOHLC; ohlcPlot.dataSource = self; NSLog(@"Data source set, adding plot"); [graph addPlot:ohlcPlot]; } And my delegate methods like this: #pragma mark - #pragma mark CPPlotdataSource Methods - (NSUInteger)numberOfRecordsForPlot:(CPPlot *)plot { NSUInteger maxCount = 0; NSLog(@"Getting number of records."); if (self.data1 && [self.data1 count] > maxCount) { maxCount = [self.data1 count]; } if (self.data2 && [self.data2 count] > maxCount) { maxCount = [self.data2 count]; } if (self.data3 && [self.data3 count] > maxCount) { maxCount = [self.data3 count]; } NSLog(@"%u records", maxCount); return maxCount; } - (NSNumber *)numberForPlot:(CPPlot *)plot field:(NSUInteger)fieldEnum recordIndex:(NSUInteger)index { NSLog(@"Getting record @ idx %u", index); return [NSNumber numberWithInt:index]; } All the code above is in the view controller for the view hosting the plot, and when initGraph is called, numDays is 30. I realize of course that this plot, if it even worked, would look nothing like the AAPLot example. The problem I'm having is that the view is never shown. It finished loading because viewDidLoad is the method that calls initGraph above, and the NSLog statements indicate that initGraph finishes. What's strange is that I return a value of 54 from numberOfRecordsForPlot, but the plot asks for more than 54 data points. in fact, it never stops asking. The NSLog statement in numberForPlot:field:recordIndex prints forever, going from 0 to 54 and then looping back around and continuing. What's going on? Why won't the plot stop asking for data and draw itself?

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• Plot 2 graphs in same plot in R?

  - by Sandra Schlichting

  I would like to plot y1 and y2 in the same plot. x <- seq(-2, 2, 0.05) y1 <- pnorm(x) y2 <- pnorm(x,1,1) plot(x,y1,type="l",col="red") plot(x,y2,type="l",col="green") But when I do it like this, they are not plotted in the same plot together. In Matlab can one do hold on, but does anyone know how to do this in R?

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• plot of multiple line segments on 2D plot in Mathematica

  - by Bruce

  Hi, I would like to plot multiple, perhaps thousands of line segments on a single 2D plot in Mathematica. These line segments would be determined from an algorithm that would detected and save each segments endpoints. Once the algorithm has determined all the line segments within a finite 2D plot domain and range (e.g., x = 0,4 and y=0,0.5), I would like to plot them all on a single plot. Thanks for any suggestions.

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• Windows Azure Service Bus Scatter-Gather Implementation

  - by Alan Smith

  One of the more challenging enterprise integration patterns that developers may wish to implement is the Scatter-Gather pattern. In this article I will show the basic implementation of a scatter-gather pattern using the topic-subscription model of the windows azure service bus. I’ll be using the implementation in demos, and also as a lab in my training courses, and the pattern will also be included in the next release of my free e-book the “Windows Azure Service Bus Developer Guide”. The Scatter-Gather pattern answers the following scenario. How do you maintain the overall message flow when a message needs to be sent to multiple recipients, each of which may send a reply? Use a Scatter-Gather that broadcasts a message to multiple recipients and re-aggregates the responses back into a single message. The Enterprise Integration Patterns website provides a description of the Scatter-Gather pattern here.   The scatter-gather pattern uses a composite of the publish-subscribe channel pattern and the aggregator pattern. The publish-subscribe channel is used to broadcast messages to a number of receivers, and the aggregator is used to gather the response messages and aggregate them together to form a single message. Scatter-Gather Scenario The scenario for this scatter-gather implementation is an application that allows users to answer questions in a poll based voting scenario. A poll manager application will be used to broadcast questions to users, the users will use a voting application that will receive and display the questions and send the votes back to the poll manager. The poll manager application will receive the users’ votes and aggregate them together to display the results. The scenario should be able to scale to support a large number of users.   Scatter-Gather Implementation The diagram below shows the overall architecture for the scatter-gather implementation.       Messaging Entities Looking at the scatter-gather pattern diagram it can be seen that the topic-subscription architecture is well suited for broadcasting a message to a number of subscribers. The poll manager application can send the question messages to a topic, and each voting application can receive the question message on its own subscription. The static limit of 2,000 subscriptions per topic in the current release means that 2,000 voting applications can receive question messages and take part in voting. The vote messages can then be sent to the poll manager application using a queue. The voting applications will send their vote messages to the queue, and the poll manager will receive and process the vote messages. The questions topic and answer queue are created using the Windows Azure Developer Portal. Each instance of the voting application will create its own subscription in the questions topic when it starts, allowing the question messages to be broadcast to all subscribing voting applications. Data Contracts Two simple data contracts will be used to serialize the questions and votes as brokered messages. The code for these is shown below.   [DataContract] public class Question {     [DataMember]     public string QuestionText { get; set; } }     To keep the implementation of the voting functionality simple and focus on the pattern implementation, the users can only vote yes or no to the questions.   [DataContract] public class Vote {     [DataMember]     public string QuestionText { get; set; }       [DataMember]     public bool IsYes { get; set; } }     Poll Manager Application The poll manager application has been implemented as a simple WPF application; the user interface is shown below. A question can be entered in the text box, and sent to the topic by clicking the Add button. The topic and subscriptions used for broadcasting the messages are shown in a TreeView control. The questions that have been broadcast and the resulting votes are shown in a ListView control. When the application is started any existing subscriptions are cleared form the topic, clients are then created for the questions topic and votes queue, along with background workers for receiving and processing the vote messages, and updating the display of subscriptions.   public MainWindow() {     InitializeComponent();       // Create a new results list and data bind it.     Results = new ObservableCollection<Result>();     lsvResults.ItemsSource = Results;       // Create a token provider with the relevant credentials.     TokenProvider credentials =         TokenProvider.CreateSharedSecretTokenProvider         (AccountDetails.Name, AccountDetails.Key);       // Create a URI for the serivce bus.     Uri serviceBusUri = ServiceBusEnvironment.CreateServiceUri         ("sb", AccountDetails.Namespace, string.Empty);       // Clear out any old subscriptions.     NamespaceManager = new NamespaceManager(serviceBusUri, credentials);     IEnumerable<SubscriptionDescription> subs =         NamespaceManager.GetSubscriptions(AccountDetails.ScatterGatherTopic);     foreach (SubscriptionDescription sub in subs)     {         NamespaceManager.DeleteSubscription(sub.TopicPath, sub.Name);     }       // Create the MessagingFactory     MessagingFactory factory = MessagingFactory.Create(serviceBusUri, credentials);       // Create the topic and queue clients.     ScatterGatherTopicClient =         factory.CreateTopicClient(AccountDetails.ScatterGatherTopic);     ScatterGatherQueueClient =         factory.CreateQueueClient(AccountDetails.ScatterGatherQueue);       // Start the background worker threads.     VotesBackgroundWorker = new BackgroundWorker();     VotesBackgroundWorker.DoWork += new DoWorkEventHandler(ReceiveMessages);     VotesBackgroundWorker.RunWorkerAsync();       SubscriptionsBackgroundWorker = new BackgroundWorker();     SubscriptionsBackgroundWorker.DoWork += new DoWorkEventHandler(UpdateSubscriptions);     SubscriptionsBackgroundWorker.RunWorkerAsync(); }     When the poll manager user nters a question in the text box and clicks the Add button a question message is created and sent to the topic. This message will be broadcast to all the subscribing voting applications. An instance of the Result class is also created to keep track of the votes cast, this is then added to an observable collection named Results, which is data-bound to the ListView control.   private void btnAddQuestion_Click(object sender, RoutedEventArgs e) {     // Create a new result for recording votes.     Result result = new Result()     {         Question = txtQuestion.Text     };     Results.Add(result);       // Send the question to the topic     Question question = new Question()     {         QuestionText = result.Question     };     BrokeredMessage msg = new BrokeredMessage(question);     ScatterGatherTopicClient.Send(msg);       txtQuestion.Text = ""; }     The Results class is implemented as follows.   public class Result : INotifyPropertyChanged {     public string Question { get; set; }       private int m_YesVotes;     private int m_NoVotes;       public event PropertyChangedEventHandler PropertyChanged;       public int YesVotes     {         get { return m_YesVotes; }         set         {             m_YesVotes = value;             NotifyPropertyChanged("YesVotes");         }     }       public int NoVotes     {         get { return m_NoVotes; }         set         {             m_NoVotes = value;             NotifyPropertyChanged("NoVotes");         }     }       private void NotifyPropertyChanged(string prop)     {         if(PropertyChanged != null)         {             PropertyChanged(this, new PropertyChangedEventArgs(prop));         }     } }     The INotifyPropertyChanged interface is implemented so that changes to the number of yes and no votes will be updated in the ListView control. Receiving the vote messages from the voting applications is done asynchronously, using a background worker thread.   // This runs on a background worker. private void ReceiveMessages(object sender, DoWorkEventArgs e) {     while (true)     {         // Receive a vote message from the queue         BrokeredMessage msg = ScatterGatherQueueClient.Receive();         if (msg != null)         {             // Deserialize the message.             Vote vote = msg.GetBody<Vote>();               // Update the results.             foreach (Result result in Results)             {                 if (result.Question.Equals(vote.QuestionText))                 {                     if (vote.IsYes)                     {                         result.YesVotes++;                     }                     else                     {                         result.NoVotes++;                     }                     break;                 }             }               // Mark the message as complete.             msg.Complete();         }       } }     When a vote message is received, the result that matches the vote question is updated with the vote from the user. The message is then marked as complete. A second background thread is used to update the display of subscriptions in the TreeView, with a dispatcher used to update the user interface. // This runs on a background worker. private void UpdateSubscriptions(object sender, DoWorkEventArgs e) {     while (true)     {         // Get a list of subscriptions.         IEnumerable<SubscriptionDescription> subscriptions =             NamespaceManager.GetSubscriptions(AccountDetails.ScatterGatherTopic);           // Update the user interface.         SimpleDelegate setQuestion = delegate()         {             trvSubscriptions.Items.Clear();             TreeViewItem topicItem = new TreeViewItem()             {                 Header = AccountDetails.ScatterGatherTopic             };               foreach (SubscriptionDescription subscription in subscriptions)             {                 TreeViewItem subscriptionItem = new TreeViewItem()                 {                     Header = subscription.Name                 };                 topicItem.Items.Add(subscriptionItem);             }             trvSubscriptions.Items.Add(topicItem);               topicItem.ExpandSubtree();         };         this.Dispatcher.BeginInvoke(DispatcherPriority.Send, setQuestion);           Thread.Sleep(3000);     } }       Voting Application The voting application is implemented as another WPF application. This one is more basic, and allows the user to vote “Yes” or “No” for the questions sent by the poll manager application. The user interface for that application is shown below. When an instance of the voting application is created it will create a subscription in the questions topic using a GUID as the subscription name. The application can then receive copies of every question message that is sent to the topic. Clients for the new subscription and the votes queue are created, along with a background worker to receive the question messages. The voting application is set to receiving mode, meaning it is ready to receive a question message from the subscription.   public MainWindow() {     InitializeComponent();       // Set the mode to receiving.     IsReceiving = true;       // Create a token provider with the relevant credentials.     TokenProvider credentials =         TokenProvider.CreateSharedSecretTokenProvider         (AccountDetails.Name, AccountDetails.Key);       // Create a URI for the serivce bus.     Uri serviceBusUri = ServiceBusEnvironment.CreateServiceUri         ("sb", AccountDetails.Namespace, string.Empty);       // Create the MessagingFactory     MessagingFactory factory = MessagingFactory.Create(serviceBusUri, credentials);       // Create a subcription for this instance     NamespaceManager mgr = new NamespaceManager(serviceBusUri, credentials);     string subscriptionName = Guid.NewGuid().ToString();     mgr.CreateSubscription(AccountDetails.ScatterGatherTopic, subscriptionName);       // Create the subscription and queue clients.     ScatterGatherSubscriptionClient = factory.CreateSubscriptionClient         (AccountDetails.ScatterGatherTopic, subscriptionName);     ScatterGatherQueueClient =         factory.CreateQueueClient(AccountDetails.ScatterGatherQueue);       // Start the background worker thread.     BackgroundWorker = new BackgroundWorker();     BackgroundWorker.DoWork += new DoWorkEventHandler(ReceiveMessages);     BackgroundWorker.RunWorkerAsync(); }     I took the inspiration for creating the subscriptions in the voting application from the chat application that uses topics and subscriptions blogged by Ovais Akhter here. The method that receives the question messages runs on a background thread. If the application is in receive mode, a question message will be received from the subscription, the question will be displayed in the user interface, the voting buttons enabled, and IsReceiving set to false to prevent more questing from being received before the current one is answered.   // This runs on a background worker. private void ReceiveMessages(object sender, DoWorkEventArgs e) {     while (true)     {         if (IsReceiving)         {             // Receive a question message from the topic.             BrokeredMessage msg = ScatterGatherSubscriptionClient.Receive();             if (msg != null)             {                 // Deserialize the message.                 Question question = msg.GetBody<Question>();                   // Update the user interface.                 SimpleDelegate setQuestion = delegate()                 {                     lblQuestion.Content = question.QuestionText;                     btnYes.IsEnabled = true;                     btnNo.IsEnabled = true;                 };                 this.Dispatcher.BeginInvoke(DispatcherPriority.Send, setQuestion);                 IsReceiving = false;                   // Mark the message as complete.                 msg.Complete();             }         }         else         {             Thread.Sleep(1000);         }     } }     When the user clicks on the Yes or No button, the btnVote_Click method is called. This will create a new Vote data contract with the appropriate question and answer and send the message to the poll manager application using the votes queue. The user voting buttons are then disabled, the question text cleared, and the IsReceiving flag set to true to allow a new message to be received.   private void btnVote_Click(object sender, RoutedEventArgs e) {     // Create a new vote.     Vote vote = new Vote()     {         QuestionText = (string)lblQuestion.Content,         IsYes = ((sender as Button).Content as string).Equals("Yes")     };       // Send the vote message.     BrokeredMessage msg = new BrokeredMessage(vote);     ScatterGatherQueueClient.Send(msg);       // Update the user interface.     lblQuestion.Content = "";     btnYes.IsEnabled = false;     btnNo.IsEnabled = false;     IsReceiving = true; }     Testing the Application In order to test the application, an instance of the poll manager application is started; the user interface is shown below. As no instances of the voting application have been created there are no subscriptions present in the topic. When an instance of the voting application is created the subscription will be displayed in the poll manager. Now that a voting application is subscribing, a questing can be sent from the poll manager application. When the message is sent to the topic, the voting application will receive the message and display the question. The voter can then answer the question by clicking on the appropriate button. The results of the vote are updated in the poll manager application. When two more instances of the voting application are created, the poll manager will display the new subscriptions. More questions can then be broadcast to the voting applications. As the question messages are queued up in the subscription for each voting application, the users can answer the questions in their own time. The vote messages will be received by the poll manager application and aggregated to display the results. The screenshots of the applications part way through voting are shown below. The messages for each voting application are queued up in sequence on the voting application subscriptions, allowing the questions to be answered at different speeds by the voters.

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• Fixing color in scatter plots in matplotlib

  - by ajhall

  Hi guys, I'm going to have to come back and add some examples if you need them, which you might. But, here's the skinny- I'm plotting scatter plots of lab data for my research. I need to be able to visually compare the scatter plots from one plot to the next, so I want to fix the color range on the scatter plots and add in a colorbar to each plot (which will be the same in each figure). Essentially, I'm fixing all aspects of the axes and colorspace etc. so that the plots are directly comparable by eye. For the life of me, I can't seem to get my scatter() command to properly set the color limits in the colorspace (default)... i.e., I figure out my total data's min and total data's max, then apply them to vmin, vmax, for the subset of data, and the color still does not come out properly in both plots. This must come up here and there, I can't be the only one that wants to compare various subsets of data amongst plots... so, how do you fix the colors so that each data keeps it's color between plots and doesn't get remapped to a different color due to the change in max/min of the subset -v- the whole set? I greatly appreciate all your thoughts!!! A mountain-dew and fiery-hot cheetos to all! -Allen

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• Plot vectors with labels in matlab

  - by mad

  I have a Nx62 matrix with N 62-D vectors and a NX1 vector with the labels for the vectors. I am trying to plot these vectors with their labels because I want to see the behavior of these classes when plotted in a 62-dimensional space. The vectors belong to three classes according to the labels of a NX1 vector cited before. How to to that in matlab? when i do plot(vector,classes) the result is very weird to analyse, how to put labels in the graph? The code i am using to get the labels, vectors and plotting is the following: %labels is a vector with labels, vectors is a matrix where each line is a vector [labels,vectors]=libsvmread('features-im1.txt'); when I plot a three dimensional vector is simple a=[1,2,3] plot(a) and then I get the result but now i have a set of vectors and a set of labels, and i want to see the distribution of them, i want to plot each of these labels but also want to identify their classes. How to do that in matlab? EDIT: This code is almost working. The problem is the fact that for each vector and class the plot will assign a color. I just want three colors and three labels, one per class. [class,vector]=libsvmread('features-im1.txt'); %the plot doesn't allow negative and 0 values in the label class=class+2; labels = {'class -1','class 0','class 1'}; h = plot(vector); legend(h,labels{class})

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• R plotting multiple histograms on single plot to .pdf as a part of R batch script

  - by Bryce Thomas

  I am writing R scripts which play just a small role in a chain of commands I am executing from a terminal. Basically, I do much of my data manipulation in a Python script and then pipe the output to my R script for plotting. So, from the terminal I execute commands which look something like $python whatever.py | R CMD BATCH do_some_plotting.R. This workflow has been working well for me so far, though I have now reached a point where I want to overlay multiple histograms on the same plot, inspired by this answer to another user's question on Stackoverflow. Inside my R script, my plotting code looks like this: pdf("my_output.pdf") plot(hist(d$original,breaks="FD",prob=TRUE), col=rgb(0,0,1,1/4),xlim=c(0,4000),main="original - This plot is in beta") plot(hist(d$minus_thirty_minutes,breaks="FD",prob=TRUE), col=rgb(1,0,0,1/4),add=T,xlim=c(0,4000),main="minus_thirty_minutes - This plot is in beta") Notably, I am using add=T, which is presumably meant to specify that the second plot should be overlaid on top of the first. When my script has finished, the result I am getting is not two histograms overlaid on top of each other, but rather a 3-page PDF whose 3 individual plots contain the titles: i) Histogram of d$original ii) original - This plot is in beta iii) Histogram of d$minus_thirty_minutes So there's two points here I'm looking to clarify. Firstly, even if the plots weren't overlaid, I would expect just a 2-page PDF, not a 3-page PDF. Can someone explain why I am getting a 3-page PDF? Secondly, is there a correction I can make here somewhere to get just the two histograms plotted, and both of them on the same plot (i.e. 1-page PDF)? The other Stackoverflow question/answer I linked to in the first paragraph did mention that alpha-blending isn't supported on all devices, and so I'm curious whether this has anything to do with it. Either way, it would be good to know if there is a R-based solution to my problem or whether I'm going to have to pipe my data into a different language/plotting engine.

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• Using core plot for iPhone, drawing date on x axis

  - by xmax

  I have available an array of dictionary that contains NSDate and NSNumber values. I wanted to plot date on X axis. for plotting I need to supply xRanges to plot with some decimal values.I don't understand how can i supply NSdate values to xRange (low and length). And what should be there in this method: -(NSNumber *)numberForPlot:(CPPlot *)plot field:(NSUInteger)fieldEnum recordIndex:(NSUInteger)index I mean how my date value will be returned as NSNumber..? I think i should use some interval over there.but what should be the exact conversion..? can any one explain me what are the exact requirement to plot the date on xAxis..? I am plotting my plot in half of the view.

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• manually create a plot frame in R

  - by tfarkas

  I need to control the style of a basic xy plot in R, and so have build the plotting area like this: frame() plot.window(xlim=c(0,1), ylim=c(-.6, .8)) axis(1, at=c(0, .2, .4, .6, .8, 1.0), lwd=2) axis(2, at=c(-.6, -.4, -.2, 0, .2, .4, .6, .8), lwd=2) I cannot, however, figure out how to create a physical frame around this plot (with lwd = 2). Is it possible (necessary?) to use line() or polygon()? Or is there something more built-in for this? I'm also interested in how to change the frame and axis weights for a plot created using the plot() function.

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• Plot in GNU PLOT

  - by guddi

  I have to plot many lines in GNU PLOT.No problem with the X axis. The problem that I am facing is that most of the plotted lines are at yscale [0-0.05] ,few at range 60-70 and rest at 600-700. These numbers correspond to the y axis scale values. But after I plot I can see only 3 sets of lines all messed up. There is no clearity between the lines. Line at 0 and the line at 0.003 look like one single line. If I set yrange[0:0.05], the lines between this range are clearly vissible. But I want all the lines in the same graph. I have heard of breaking axis's and multi plotting..Can they be useful? how to implement them. Anyone pls help me. Below is the sript set terminal png size 1300,1200 enhanced font 'Verdana,20 set output ' output .png’ set key font 'Verdana,16' set key bottom outside set yrange[500:1000] set xtics("25k" 25000,"50k" 50000,"75k" 75000,"100k" 100000) set grid set title 'Performance Metrics' set ylabel 'Metrices' set xlabel 'FES' plot ' input ' using 1:2 title ' A' with linespoints linewidth 4, ' input ' using 1:3 title B'with linespoints linewidth 4, 'input ' using 1:4 title ' c' with linespoints linewidth 4, 'input ' using 1:5 title 'D' with linespoints linewidth 4, ' input ' using 1:6 title 'E' with linespoints linewidth 4, ' input ' using 1:7 title 'F' with linespoints linewidth 4, ' input ' using 1:8 title 'G' with linespoints linewidth 4, ' input ' using 1:9 title ' H ' with linespoints linewidth 4, ' input ' using 1:10 title ' I' Metric ' with linespoints linewidth 4 set output set terminal windows input.dat is something like this: 25 0.002 0.05 899 455 444 0.08 0.00004 900 700 0.003 This way i have other rows. I have shown only the first one

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• OBJ-C: Call an instance of core-plot graph from separate view controller

  - by Kevin

  I'm using a view controller i.e. ViewController:UIViewController and have another class GraphViewController:UIViewController . How do I call an instance of GraphViewController and place it into my ViewController? I am currently trying to call the plot within my ViewController directly, but I want to make the graph modular so I don't have to copy code if I use the same graph again. ViewController has methods -(void) refreshGraph; //Inhereted Methods -(NSUInteger)numberOfRecordsForPlot:(CPPlot *)plot; -(NSNumber *)numberForPlot:(CPPlot *)plot field:(NSUInteger)fieldEnum recordIndex:(NSUInteger)index; How do I move these methods to a separate class and then call it to get the same plot in my ViewController? I am sure there must be a thread on this somewhere but I can't seem to find it.

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• Python: x-y-plot with matplotlib

  - by kame

  I want to plot some data. The first column contains the x-data. But matplotlib doesnt plot this. Where is my mistake? #fresnel formula import numpy as np from numpy import cos from scipy import * from pylab import plot, show, ylim, yticks from matplotlib import * from pprint import pprint n1 = 1.0 n2 = 1.5 #alpha, beta, intensity data = [ [10, 22, 4.3], [20, 42, 4.2], [30, 62, 3.6], [40, 83, 1.3], [45, 102, 2.8], [50, 123, 3.0], [60, 143, 3.2], [70, 163, 3.8], ] for i in range(len(data)): rhotang1 = (n1 * cos(data[i][0]) - n2 * cos(data[i][1])) rhotang2 = (n1 * cos(data[i][0]) + n2 * cos(data[i][1])) rhotang = rhotang1 / rhotang2 data[i].append(rhotang) #append 4th value pprint(data) x = data[:][0] y1 = data[:][2] y3 = data[:][3] plot(x, y1, x, y3) show() EDIT: http://paste.pocoo.org/show/205534/ But it doesnt work.

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• annotation in matlab plot

  - by Tim

  Hi, I just wonder how to add annotation in matlab plot? Here is my code: plot(x,y); annotation('textarrow',[x, x+0.05],[y,y+0.05],'String','my point','FontSize',14); But the arrow points to the wrong place. How can I fix it? And any better idea for annotating a plot? Thanks and regards! EDIT: I just saw from the help document: annotation('line',x,y) creates a line annotation object that extends from the point defined by x(1),y(1) to the point defined by x(2),y(2), specified in normalized figure units. In my code, I would like the arrow pointing to the point (x,y) that is drawn by plot(), but annotation interprets the values of x and y as in normalized figure units. So I think that is what causes the problem. How can I specify the correct coordinates to annotation?

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• Core Plot: only works ok with three plots

  - by Luis

  I am adding a scatter plot to my app (iGear) so when the user selects one, two or three chainrings combined with a cogset on a bike, lines will show the gears meters. The problem is that Core Plot only shows the plots when three chainrings are selected. I need your help, this is my first try at Core Plot and I'm lost. My code is the following: iGearMainViewController.m - (IBAction)showScatterIpad:(id)sender { cogsetToPass = [NSMutableArray new]; arrayForChainringOne = [NSMutableArray new]; arrayForChainringTwo = [NSMutableArray new]; arrayForChainringThree = [NSMutableArray new]; //behavior according to number of chainrings switch (self.segmentedControl.selectedSegmentIndex) { case 0: // one chainring selected for (int i = 1; i<= [cassette.numCogs intValue]; i++) { if (i <10) { corona = [NSString stringWithFormat:@"cog0%d",i]; }else { corona = [NSString stringWithFormat:@"cog%d",i]; } float one = (wheelSize*[_oneChainring.text floatValue]/[[cassette valueForKey:corona]floatValue])/1000; float teeth = [[cassette valueForKey:corona] floatValue]; [cogsetToPass addObject:[NSNumber numberWithFloat:teeth]]; [arrayForChainringOne addObject:[NSNumber numberWithFloat:one]]; } break; case 1: // two chainrings selected for (int i = 1; i<= [cassette.numCogs intValue]; i++) { if (i <10) { corona = [NSString stringWithFormat:@"cog0%d",i]; }else { corona = [NSString stringWithFormat:@"cog%d",i]; } float one = (wheelSize*[_oneChainring.text floatValue]/[[cassette valueForKey:corona]floatValue])/1000; //NSLog(@" gearsForOneChainring = %@",[NSNumber numberWithFloat:one]); float two = (wheelSize*[_twoChainring.text floatValue]/[[cassette valueForKey:corona]floatValue])/1000; [cogsetToPass addObject:[NSNumber numberWithFloat:[[cassette valueForKey:corona]floatValue]]]; [arrayForChainringOne addObject:[NSNumber numberWithFloat:one]]; [arrayForChainringTwo addObject:[NSNumber numberWithFloat:two]]; } break; case 2: // three chainrings selected for (int i = 1; i<= [cassette.numCogs intValue]; i++) { if (i <10) { corona = [NSString stringWithFormat:@"cog0%d",i]; }else { corona = [NSString stringWithFormat:@"cog%d",i]; } float one = (wheelSize*[_oneChainring.text floatValue]/[[cassette valueForKey:corona]floatValue])/1000; float two = (wheelSize*[_twoChainring.text floatValue]/[[cassette valueForKey:corona]floatValue])/1000; float three = (wheelSize*[_threeChainring.text floatValue]/[[cassette valueForKey:corona]floatValue])/1000; [cogsetToPass addObject:[cassette valueForKey:corona]]; [arrayForChainringOne addObject:[NSNumber numberWithFloat:one]]; [arrayForChainringTwo addObject:[NSNumber numberWithFloat:two]]; [arrayForChainringThree addObject:[NSNumber numberWithFloat:three]]; } default: break; } ScatterIpadViewController *sivc = [[ScatterIpadViewController alloc]initWithNibName: @"ScatterIpadViewController" bundle:nil]; [sivc setModalTransitionStyle:UIModalTransitionStyleFlipHorizontal]; sivc.records = [cassetteNumCogs integerValue]; sivc.cogsetSelected = self.cogsetToPass; sivc.chainringOne = self.arrayForChainringOne; sivc.chainringThree = self.arrayForChainringThree; sivc.chainringTwo = self.arrayForChainringTwo; [self presentViewController:sivc animated:YES completion:nil]; } And the child view with the code to draw the plots: ScatterIpadViewController.m #pragma mark - CPTPlotDataSource methods - (NSUInteger)numberOfRecordsForPlot: (CPTPlot *)plot { return records; } - (NSNumber *)numberForPlot: (CPTPlot *)plot field:(NSUInteger)fieldEnum recordIndex:(NSUInteger)index{ switch (fieldEnum) { case CPTScatterPlotFieldX: return [NSNumber numberWithInt:index]; break; case CPTScatterPlotFieldY:{ if ([plot.identifier isEqual:@"one"]==YES) { //NSLog(@"chainringOne objectAtIndex:index = %@", [chainringOne objectAtIndex:index]); return [chainringOne objectAtIndex:index]; }else if ([plot.identifier isEqual:@"two"] == YES ){ //NSLog(@"chainringTwo objectAtIndex:index = %@", [chainringTwo objectAtIndex:index]); return [chainringTwo objectAtIndex:index]; }else if ([plot.identifier isEqual:@"three"] == YES){ //NSLog(@"chainringThree objectAtIndex:index = %@", [chainringThree objectAtIndex:index]); return [chainringThree objectAtIndex:index]; } default: break; } } return nil; } The error returned is an exception on trying to access an empty array. 2012-11-15 11:02:42.962 iGearScatter[3283:11603] Terminating app due to uncaught exception 'NSRangeException', reason: ' -[__NSArrayM objectAtIndex:]: index 0 beyond bounds for empty array' First throw call stack: (0x1989012 0x1696e7e 0x192b0b4 0x166cd 0x183f4 0x1bd39 0x179c0 0x194fb 0x199e1 0x43250 0x14b66 0x13ef0 0x13e89 0x3b5753 0x3b5b2f 0x3b5d54 0x3c35c9 0x5c0814 0x392594 0x39221c 0x394563 0x3103b6 0x310554 0x1e87d8 0x27b3014 0x27a37d5 0x192faf5 0x192ef44 0x192ee1b 0x29ea7e3 0x29ea668 0x2d265c 0x22dd 0x2205 0x1)* libc++abi.dylib: terminate called throwing an exception Thank you!

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• Connecting grouped dots/points on a scatter plot based on distance

  - by ToNoY

  I have 2 sets of depth point measurements, for example: > a depth value 1 2 2 2 4 3 3 6 4 4 8 5 5 16 40 6 18 45 7 20 58 > b depth value 1 10 10 2 12 20 3 14 35 I want to show both groups in one figure plotted with depth and with different symbols as you can see here plot(a$value, a$depth, type='b', col='green', pch=15) points(b$value, b$depth, type='b', col='red', pch=14) The plot seems okay, but the annoying part is that the green symbols are all connected (though I want connected lines also). I want connection only when one group has a continued data points at 2 m interval i.e. the symbols should be connected with a line from 2 to 8 m (green) and then group B symbols should be connected from 10-14 m (red) and again group A symbols should be connected (green), which means I do NOT want to see the connection between 8 m sample with the 16 m for group A. An easy solution may be dividing the group A into two parts (say, A-shallow and A-deep) and then plotting A-shallow, B, and A-deep separately. But this is completely impractical because I have thousands of data points with hundreds of groups i.e. I have to produce many depth profiles. Therefore, there has to be a way to program so that dots are NOT connected beyond a prescribed frequency/depth interval (e.g. 2 m in this case) for a particular group of samples. Any idea?

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• R plot- SGAM plot counts vs. time - how do I get dates on the x-axis?

  - by Nate

  I'd like to plot this vs. time, with the actual dates (years actually, 1997,1998...2010). The dates are in a raw format, ala SAS, days since 1960 (hence as.date conversion). If I convert the dates using as.date to variable x, and do the GAM plot, I get an error. It works fine with the raw day numbers. But I want the plot to display the years (data are not equally spaced). structure(list(site = c(928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L, 928L), date = c(13493L, 13534L, 13566L, 13611L, 13723L, 13752L, 13804L, 13837L, 13927L, 14028L, 14082L, 14122L, 14150L, 14182L, 14199L, 16198L, 16279L, 16607L, 16945L, 17545L, 17650L, 17743L, 17868L, 17941L, 18017L, 18092L), y = c(7L, 7L, 17L, 18L, 17L, 17L, 10L, 3L, 17L, 24L, 11L, 5L, 5L, 3L, 5L, 14L, 2L, 9L, 9L, 4L, 7L, 6L, 1L, 0L, 5L, 0L)), .Names = c("site", "date", "y"), class = "data.frame", row.names = c(NA, -26L)) sgam1 <- gam(sites$y ~ s(sites$date)) sgam <- predict(sgam1, se=TRUE) plot(sites$date,sites$y,xaxt="n", xlab='Time', ylab='Counts') x<-as.Date(sites$date, origin="1960-01-01") axis(1, at=1:26,labels=x) lines(sites$date,sgam$fit, lty = 1) lines(sites$date,sgam$fit + 1.96* sgam$se, lty = 2) lines(sites$date,sgam$fit - 1.96* sgam$se, lty = 2) ggplot2 has a solution (it doesn't mind the as.date thing) but it gives me other problems...

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• How to hide zero values in bar3 plot in MATLAB

  - by Doresoom

  I've got a 2-D histogram (the plot is 3D - several histograms graphed side by side) that I've generated with the bar3 plot command. However, all the zero values show up as flat squares in the x-y plane. Is there a way I can prevent MATLAB from displaying the values? I already tried replacing all zeros with NaNs, but it didn't change anything about the plot. Here's the code I've been experimenting with: x1=normrnd(50,15,100,1); %generate random data to test code x2=normrnd(40,13,100,1); x3=normrnd(65,12,100,1); low=min([x1;x2;x3]); high=max([x1;x2;x3]); y=linspace(low,high,(high-low)/4); %establish consistent bins for histogram z1=hist(x1,y); z2=hist(x2,y); z3=hist(x3,y); z=[z1;z2;z3]'; bar3(z) As you can see, there are quite a few zero values on the plot. Closing the figure and re-plotting after replacing zeros with NaNs seems to change nothing: close z(z==0)=NaN; bar3(z)

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• Easiest way to plot values as symbols in scatter plot?

  - by AllenH

  In an answer to an earlier question of mine regarding fixing the colorspace for scatter images of 4D data, Tom10 suggested plotting values as symbols in order to double-check my data. An excellent idea. I've run some similar demos in the past, but I can't for the life of me find the demo I remember being quite simple. So, what's the easiest way to plot numerical values as the symbol in a scatter plot instead of 'o' for example? Tom10 suggested plt.txt(x,y,value)- and that is the implementation used in a number of examples. I however wonder if there's an easy way to evaluate "value" from my array of numbers? Can one simply say: str(valuearray) ? Do you need a loop to evaluate the values for plotting as suggested in the matplotlib demo section for 3D text scatter plots? Their example produces: However, they're doing something fairly complex in evaluating the locations as well as changing text direction based on data. So, is there a cute way to plot x,y,C data (where C is a value often taken as the color in the plot data- but instead I wish to make the symbol)? Again, I think we have a fair answer to this- I just wonder if there's an easier way?

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• Plot Zoom In/Out

  - by Naveen

  Hello All, I am doing dynamic plotting using core plot library and i have placed that plot on UIScrollView so that i can scroll the plot. Now i want to do Pinch Zooming on that, means when i m doing pinch zooming that that part where i have pinched will be zoomed,other part will also be zoomed but we can see certain par of the graph at one time so wherever i have pinched that part will be shown in zoomed state in focused view and when i am doing scrolling i can see other part also in a zoom state. Hope you understood my query!!! Waiting for your response. Thanks

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• How to get repository for core-plot

  - by Omar

  I am not able to get the repository for core-plot. What I am doing is that I am typing this in the terminal: hg clone https://core-plot.googlecode.com/hg/ core-plot and this is what I get: Traceback (most recent call last): File "/usr/local/bin/hg", line 25, in mercurial.util.set_binary(fp) File "/Library/Python/2.5/site-packages/mercurial/demandimport.py", line 75, in __getattribute__ self._load() File "/Library/Python/2.5/site-packages/mercurial/demandimport.py", line 47, in _load mod = _origimport(head, globals, locals) File "/Library/Python/2.5/site-packages/mercurial/util.py", line 93, in _encoding = locale.getlocale()[1] File "/System/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/locale.py", line 460, in getlocale return _parse_localename(localename) File "/System/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/locale.py", line 373, in _parse_localename raise ValueError, 'unknown locale: %s' % localename ValueError: unknown locale: UTF-8 I can't seem to get it to install. Please give me guidance on how to install the repository.

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• plot 3D and combine in matlab

  - by George

  Hello ,i have this matrix "experiment=2*rand(npoints,3)-1". I want to plot in in 3D,so i use "mesh(experiment)". How can i take red points in my plot? Also,i want to implement in the above plot , a sphere with radius 1 at 0,0,0. I did : mesh(experiment) hold on [x,y,z]=sphere; r=1; mesh(r*x,r*y,r*z) hold off but 1) i am not taking radius 1 2) the figures just showing in the same graph but don't combine Thanks

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