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  • What Javascript graphing package will let me plot points against a user-selected coordinate system?

    - by wes
    My customer has some specific requirements for a graph to show in our web app. We use HighCharts elsewhere in the app for more traditional graphing, but it doesn't seem to work for this situation. Their requirements: Allow the user to select a background image, set the scale and origin of the coordinate system. We'll graph our points against the user-defined coordinates. Points can be color coded Mouse-over boxes show more detail about the points Support for zooming and panning, scaling the background appropriately Less importantly: Support for drawing vectors off the points Some of this seems basic, but looking around at different graph packages, I was unable to find any with an example of this kind of usage. I've entertained the thought of just hacking it together in canvas myself, but I've never worked with canvas before so I don't think it would be cost effective. The basics of plotting points with a scaled coordinate system against an image background wouldn't be too hard, but the mouse-over details, zooming and panning sound much more daunting to me. More info: Right now we use jQuery, HighCharts, and ExtJS for our app. We tried flot in the past but switched to HighCharts after flot didn't meet our needs.

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  • Netlogo behaviorspace, How to export each experiment's plot in a separate directory with a unique name? (Answer is by using pathdir extension)

    - by Marzy
    I have a save-plots function which I call it in my final command of behavior space to export selected plots, I could create unique names for plots so they don't replace each other, for example my output file name for one of the plots is like this: DeathRates, PS true, HCHA false 100,true.csv Let FileNameDeathRates ( word "D: /Results/" "DeathRates, " "PS "PS? ", HCHA " HCHA? MPS "," CV? ".csv" ) So far is good, but I want is to have a directory with name of the experiment and export all plots of that experiment in that directory for example: Let DirName( word "D:/Results/" "PS "PS? ", HCHA " HCHA? MPS "," CV? ) Netlogo already exports plots with proper name and I just want the directory name to be different , and of course prior to the experiment the directory does not exist so the directory should be created first , I could not find a command to create a directory in netlogo without pathdir extension. Any idea on how can I do this? Thanks in advance ;)

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  • Is it possible to plot a single density over a discrete variable?

    - by mattrepl
    The x-axis is time broken up into time intervals. There is an interval column in the data frame that specifies the time for each row. Plotting a histogram or line using geom_histogram and geom_freqpoly works great, but I'd like to use geom_density to get a filled area. Perhaps there is a better way to achieve this. Right now, if I use geom_density, curves are created for each discrete factor level instead of smoothing over all of them.

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  • Finding What You Need in R: function arguments/parameters from outside the function's package

    - by doug
    Often in R, there are a dozen functions scattered across as many packages--all of which have the same purpose but of course differ in accuracy, performance, theoretical rigor, and so on. How do you gather all of these in one place before you start your task? So for instance: the generic plot function. Setting secondary ticks is much easier (IMHO) using a function outside of the base package, minor.tick(nx=n, ny=n, tick.ratio=n), found in Hmisc. Of course, that doesn't show up in plot's docstring. Likewise, the data-input arguments to 'plot' can be supplied by an object returned from the function 'hexbin', again, from a library outside of the base installation (where 'plot' resides). What would be great obviously is a programmatic way to gather these function arguments from the various libraries and put them in a single namespace. edit: (trying to re-state my example just above more clearly:) the arguments to plot supplied in the base package for, e.g., setting the axis tick frequency are xaxp/yaxp; however, one can also set a/t/f via a function outside of the base package, again, as in the minor.tick function from the Hmisc package--but you wouldn't know that just from looking at the plot method signature. Is there a meta function in R for this? So far, as i come across them, i've been manually gathering them in a TextMate 'snippet' (along with the attendant library imports). This isn't that difficult or time consuming, but i can only update my snippet as i find out about these additional arguments/parameters. Is there a canonical R way to do this, or at least an easier way? Just in case that wasn't clear, i am not talking about the case where multiple packages provide functions directed to the same statistic or view (e.g., 'boxplot' in the base package; 'boxplot.matrix' in gplots; and 'bplots' in Rlab). What i am talking is the case in which the function name is the same across two or more packages.

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  • Why do browsers encode special characters differently with ajax requests?

    - by Andrei Oniga
    I have a web application that reads the values of a few input fields (alphanumeric) and constructs a very simple xml that is passes to the server, using jQuery's $.ajax() method. The template for that xml is: <request> <session>[some-string]</session> <space>[some-string]</space> <plot>[some-string]</plot> ... </request> Sending such requests to the server when the inputs contain Finnish diacritical characters (such as ä or ö) raises a problem in terms of character encoding with different browsers. For instance, if I add the word Käyttötarkoitus" in one of the inputs, here's how Chrome and Firefox send EXACTLY the same request to the server: Chrome: <request> <session>{string-hidden}</session> <space>2080874</space> <plot>Käyttötarkoitus</plot> ... </request> FF 12.0: <request> <session>{string-hidden}</session> <space>2080874</space> <plot>Käyttötarkoitus</plot> ... </request> And here is the code fragment that I use to send the requests: $.ajax({ type: "POST", url: url, dataType: 'xml;charset=UTF-8', data: xml, success: function(xml) { // }, error: function(jqXHR, textStatus, errorThrown) { // } }); Why do I get different encodings and how do I get rid of this difference? I need to fix this problem because it's causing other on the server-side.

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  • MATLAB query about for loop, reading in data and plotting

    - by mp7
    Hi there, I am a complete novice at using matlab and am trying to work out if there is a way of optimising my code. Essentially I have data from model outputs and I need to plot them using matlab. In addition I have reference data (with 95% confidence intervals) which I plot on the same graph to get a visual idea on how close the model outputs and reference data is. In terms of the model outputs I have several thousand files (number sequentially) which I open in a loop and plot. The problem/question I have is whether I can preprocess the data and then plot later - to save time. The issue I seem to be having when I try this is that I have a legend which either does not appear or is inaccurate. My code (apolgies if it not elegant): fn= xlsread(['tbobserved' '.xls']); time= fn(:,1); totalreference=fn(:,4); totalreferencelowerci=fn(:,6); totalreferenceupperci=fn(:,7); figure plot(time,totalrefrence,'-', time, totalreferencelowerci,'--', time, totalreferenceupperci,'--'); xlabel('Year'); ylabel('Reference incidence per 100,000 population'); title ('Total'); clickableLegend('Observed reference data', 'Totalreferencelowerci', 'Totalreferenceupperci','Location','BestOutside'); xlim([1910 1970]); hold on start_sim=10000; end_sim=10005; h = zeros (1,1000); for i=start_sim:end_sim %is there any way of doing this earlier to save time? a=int2str(i); incidenceFile =strcat('result_', 'Sim', '_', a, 'I_byCal_total.xls'); est_tot=importdata(incidenceFile, '\t', 1); cal_tot=est_tot.data; magnitude=1; t1=cal_tot(:,1)+1750; totalmodel=cal_tot(:,3)+cal_tot(:,5); h(a)=plot(t1,totalmodel); xlim([1910 1970]); ylim([0 500]); hold all clickableLegend(h(a),a,'Location','BestOutside') end Essentially I was hoping to have a way of reading in the data and then plot later - ie. optimise the code. I hope you might be able to help. Thanks. mp

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  • R: Plotting a graph with different colors of points based on advanced criteria

    - by balconydoor
    What I would like to do is a plot (using ggplot), where the x axis represent years which have a different colour for the last three years in the plot than the rest. The last three years should also meet a certain criteria and based on this the last three years can either be red or green. The criteria is that the mean of the last three years should be less (making it green) or more (making it red) than the 66%-percentile of the remaining years. So far I have made two different functions calculating the last three year mean: LYM3 <- function (x) { LYM3 <- tail(x,3) mean(LYM3$Data,na.rm=T) } And the 66%-percentile for the remaining: perc66 <- function(x) { percentile <- head(x,-3) quantile(percentile$Data, .66, names=F,na.rm=T) } Here are two sets of data that can be used in the calculations (plots), the first which is an example from my real data where LYM3(df1) < perc66(df1) and the second is just made up data where LYM3 perc66. df1<- data.frame(Year=c(1979:2010), Data=c(347261.87, 145071.29, 110181.93, 183016.71, 210995.67, 205207.33, 103291.78, 247182.10, 152894.45, 170771.50, 206534.55, 287770.86, 223832.43, 297542.86, 267343.54, 475485.47, 224575.08, 147607.81, 171732.38, 126818.10, 165801.08, 136921.58, 136947.63, 83428.05, 144295.87, 68566.23, 59943.05, 49909.08, 52149.11, 117627.75, 132127.79, 130463.80)) df2 <- data.frame(Year=c(1979:2010), Data=c(sample(50,29,replace=T),75,75,75)) Here’s my code for my plot so far: plot <- ggplot(df1, aes(x=Year, y=Data)) + theme_bw() + geom_point(size=3, aes(colour=ifelse(df1$Year<2008, "black",ifelse(LYM3(df1) < perc66(df1),"green","red")))) + geom_line() + scale_x_continuous(breaks=c(1980,1985,1990,1995,2000,2005,2010), limits=c(1978,2011)) plot As you notice it doesn’t really do what I want it to do. The only thing it does seem to do is that it turns the years before 2008 into one level and those after into another one and base the point colour off these two levels. Since I don’t want this year to be stationary either, I made another tiny function: fun3 <- function(x) { df <- subset(x, Year==(max(Year)-2)) df$Year } So the previous code would have the same effect as: geom_point(size=3, aes(colour=ifelse(df1$Year<fun3(df1), "black","red"))) But it still does not care about my colours. Why does it make the years into levels? And how come an ifelse function doesn’t work within another one in this case? How would it be possible to the arguments to do what I like? I realise this might be a bit messy, asking for a lot at the same time, but I hope my description is pretty clear. It would be helpful if someone could at least point me in the right direction. I tried to put the code for the plot into a function as well so I wouldn’t have to change the data frame at all functions within the plot, but I can’t get it to work. Thank you!

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  • Nagios Availability Report plotting in Graphite

    - by Roman Zenka
    I would like to plot my Nagios availability reports over time. Does anyone know a plugin that would do so? I found 'graphios' at https://github.com/shawn-sterling/graphios that would plot extra data provided by plugins. What I need instead is a plugin that would plot information such as: 'the service was in ERROR state 0.5% of the time last week, while the week before it was 1%'. This would be useful for knowing whether the overall stability is getting better.

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  • I have discovered a fundamental truth about TV shows and plots

    - by Steve Loethen
    For years, we have all known (okay, maybe I give people too much credit) that there is a very small finite number of plots.  I propose a project.  Let’s use the blogosphere to catalog those plotlines, and then find and document the episodes of shows that use them, including the show title. As evidence, how many shows have used the following plot line:? The standard “evil twin” plotline?  Once relegated to soaps, it has show up in crime shows, with the twist of DNA.  Step one, concentrate one this one.  Tell me about every show you recall that has used this plot.  I will collect and document the shows on my website (www.loethen.net) and we can build a database of the plots. Step two, what other common themes should I offer up?  How about the bigamist plot line?  The “bad guy was dead” plot line (revenge from the dead"?  The “vast government conspiracy” plotline? Let the games begin….

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  • matplotlib: how to refresh figure.canvas

    - by Alex
    Hello, I can't understand how to refresh FigureCanvasWxAgg instance. Here is the example: import wx import matplotlib from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas from matplotlib.figure import Figure class MainFrame(wx.Frame): def __init__(self): wx.Frame.__init__(self, None, wx.NewId(), "Main") self.sizer = wx.BoxSizer(wx.VERTICAL) self.figure = Figure(figsize=(1,2)) self.axe = self.figure.add_subplot(111) self.figurecanvas = FigureCanvas(self, -1, self.figure) self.buttonPlot = wx.Button(self, wx.NewId(), "Plot") self.buttonClear = wx.Button(self, wx.NewId(), "Clear") self.sizer.Add(self.figurecanvas, proportion=1, border=5, flag=wx.ALL | wx.EXPAND) self.sizer.Add(self.buttonPlot, proportion=0, border=2, flag=wx.ALL) self.sizer.Add(self.buttonClear, proportion=0, border=2, flag=wx.ALL) self.SetSizer(self.sizer) self.figurecanvas.Bind(wx.EVT_LEFT_DCLICK, self.on_dclick) self.buttonPlot.Bind(wx.EVT_BUTTON, self.on_button_plot) self.buttonClear.Bind(wx.EVT_BUTTON, self.on_button_clear) self.subframe_opened = False def on_dclick(self, evt): self.subframe = SubFrame(self, self.figure) self.subframe.Show(True) self.subframe_opened = True def on_button_plot(self, evt): self.axe.plot(range(10), color='green') self.figurecanvas.draw() def on_button_clear(self, evt): if self.subframe_opened: self.subframe.Close() self.figure.set_canvas(self.figurecanvas) self.axe.clear() self.figurecanvas.draw() class SubFrame(wx.Frame): def __init__(self, parent, figure): wx.Frame.__init__(self, parent, wx.NewId(), "Sub") self.sizer = wx.BoxSizer(wx.VERTICAL) self.figurecanvas = FigureCanvas(self, -1, figure) self.sizer.Add(self.figurecanvas, proportion=1, border=5, flag=wx.ALL | wx.EXPAND) self.SetSizer(self.sizer) self.Bind(wx.EVT_CLOSE, self.on_close) def on_close(self, evt): self.GetParent().subframe_opened = False evt.Skip() class MyApp(wx.App): def OnInit(self): frame = MainFrame() frame.Show(True) self.SetTopWindow(frame) return True app = MyApp(0) app.MainLoop() I'm interested in the following sequence of operations: run a script resize the main frame press Plot button double click on plot press Clear button Now I get a mess on main frame plot. If I resize the frame it redraws properly. My question is what should I add to my code to do that without resizing? Thanks in advance.

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  • Plotting multi-colored line in Matlab

    - by Jonas
    I would like to plot a line with two-color dashes, say red-blue-red-blue-... I know I could do it like this: plot([1,2],[1,2],'r'), hold on, plot([1,2],[1,2],'--b') However, since I need to be able to move the line, among others, it should only have a single handle. How could I do this?

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  • Matplotlib, plotting discreet values

    - by Arkapravo
    I am trying to plot the following ! from numpy import * from pylab import * import random for x in range(1,500): y = random.randint(1,25000) print(x,y) plot(x,y) show() However, I keep getting a blank graph (?). Just to make sure that the program logic is correct I added the code print(x,y), just the confirm that (x,y) pairs are being generated. (x,y) pairs are being generated, but there is no plot, I keep getting a blank graph. Any help ?

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  • NetLogo 4.1 - implementation of a motorway ( Problem creating collision of cars )

    - by user206019
    Hi there, I am trying to create a simulation of motorway and the behaviour of the drivers in NetLogo. I have some questions that I m struggling to solve. Here is my code: globals [ selected-car ;; the currently selected car average-speed ;; average speed of all the cars look-ahead ] turtles-own [ speed ;; the current speed of the car speed-limit ;; the maximum speed of the car (different for all cars) lane ;; the current lane of the car target-lane ;; the desired lane of the car change? ;; true if the car wants to change lanes patience ;; the driver's current patience max-patience ;; the driver's maximum patience ] to setup ca import-drawing "my_road3.png" set-default-shape turtles "car" crt number_of_cars [ setup-cars ] end to setup-cars set color blue set size .9 set lane (random 3) set target-lane (lane + 1) setxy round random-xcor (lane + 1) set heading 90 set speed 0.1 + random 9.9 set speed-limit (((random 11) / 10) + 1) set change? false set max-patience ((random 50) + 10) set patience (max-patience - (random 10)) ;; make sure no two cars are on the same patch loop [ ifelse any? other turtles-here [ fd 1 ] [ stop ] ;if count turtles-here > 1 ; fd 0.1 ;if ; ;ifelse (any? turtles-on neighbors) or (count turtles-here > 1) ;[ ; ifelse (count turtles-here = 1) ; [ if any? turtles-on neighbors ; [ ; if distance min-one-of turtles-on neighbors [distance myself] > 0.9 ; [stop] ; ] ; ] ; [ fd 0.1 ] ;] ;[ stop ] ] end to go drive end to drive ;; first determine average speed of the cars set average-speed ((sum [speed] of turtles) / number_of_cars) ;set-current-plot "Car Speeds" ;set-current-plot-pen "average" ;plot average-speed ;set-current-plot-pen "max" ;plot (max [speed] of turtles) ;set-current-plot-pen "min" ;plot (abs (min [speed] of turtles) ) ;set-current-plot-pen "selected-car" ;plot ([speed] of selected-car) ask turtles [ ifelse (any? turtles-at 1 0) [ set speed ([speed] of (one-of (turtles-at 1 0))) decelerate ] [ ifelse (look-ahead = 2) [ ifelse (any? turtles-at 2 0) [ set speed ([speed] of (one-of turtles-at 2 0)) decelerate ] [ accelerate if count turtles-at 0 1 = 0 and ycor < 2.5 [lt 90 fd 1 rt 90] ] ] [accelerate if count turtles-at 0 1 = 0 and ycor < 2.5 [lt 90 fd 1 rt 90] ] ] if (speed < 0.01) [ set speed 0.01 ] if (speed > speed-limit) [ set speed speed-limit ] ifelse (change? = false) [ signal ] [ change-lanes ] ;; Control for making sure no one crashes. ifelse (any? turtles-at 1 0) and (xcor != min-pxcor - .5) [ set speed [speed] of (one-of turtles-at 1 0) ] [ ifelse ((any? turtles-at 2 0) and (speed > 1.0)) [ set speed ([speed] of (one-of turtles-at 2 0)) fd 1 ] [jump speed] ] ] tick end ;; increase speed of cars to accelerate ;; turtle procedure set speed (speed + (speed-up / 1000)) end ;; reduce speed of cars to decelerate ;; turtle procedure set speed (speed - (slow-down / 1000)) end to signal ifelse (any? turtles-at 1 0) [ if ([speed] of (one-of (turtles-at 1 0))) < (speed) [ set change? true ] ] [ set change? false ] end ;; undergoes search algorithms to change-lanes ;; turtle procedure show ycor ifelse (patience <= 0) [ ifelse (max-patience <= 1) [ set max-patience (random 10) + 1 ] [ set max-patience (max-patience - (random 5)) ] set patience max-patience ifelse (target-lane = 0) [ set target-lane 1 set lane 0 ] [ set target-lane 0 set lane 1 ] ] [ set patience (patience - 1) ] ifelse (target-lane = lane) [ ifelse (target-lane = 0) [ set target-lane 1 set change? false ] [ set target-lane 0 set change? false ] ] [ ifelse (target-lane = 1) [ ifelse (pycor = 2) [ set lane 1 set change? false ] [ ifelse (not any? turtles-at 0 1) [ set ycor (ycor + 1) ] [ ifelse (not any? turtles-at 1 0) [ set xcor (xcor + 1) ] [ decelerate if (speed <= 0) [ set speed 0.1 ] ] ] ] ] [ ifelse (pycor = -2) [ set lane 0 set change? false ] [ ifelse (not any? turtles-at 0 -1) [ set ycor (ycor - 1) ] [ ifelse (not any? turtles-at 1 0) [ set xcor (xcor + 1) ] [ decelerate if (speed <= 0) [ set speed 0.1 ] ] ] ] ] ] end I know its a bit messy because I am using code from other models from the library. I want to know how to create the collision of the cars. I can't think of any idea. As you notice my agent has almost the same size as the patch (I set it to 0.9 so that you can distinguish the space between 2 cars when they are set next to each other and I round the coordinates so that they are set to the centre of the patch). In my accelerate procedure I set my agent to turn left, move 1, turn right in a loop. I want to know if there's a command that lets me make the agent jump from one lane to the other (to the patch next to it on its left) without making it turn and move. And last, if you notice the code i created the car checks the patch that is next to it on the lane on its left and the patch in front of it and the back of it. So if the 3 patches on its left are empty then it can change lane. The fuzzy part is that when i run the setup and I press Go sometimes (not always) the car goes out of the 3 basic lanes. To understand this I have 7 lanes. The middle one which I don't use which is lane 0. Then there are 3 lanes on top of lane 0 and 3 below it. So the code I am using refers to the upper 3 lanes where I set the cars but for some reason some of the cars change lane and go to lane -3 then -2 and so forth. If someone can give me a tip I would really appreciate it. Thank you in advance. Tip: if you want to try this code in netlogo keep in mind that on interface tab I have 2 buttons one setup and one go as well as 3 sliders with names: number_of_cars , speed-up , slow-down.

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  • plotting results of hierarchical clustering ontop of a matrix of data in python

    - by user248237
    How can I plot a dendrogram right on top of a matrix of values, reordered appropriately to reflect the clustering, in Python? An example is in the bottom of the following figure: http://www.coriell.org/images/microarray.gif I use scipy.cluster.dendrogram to make my dendrogram and perform hierarchical clustering on a matrix of data. How can I then plot the data as a matrix where the rows have been reordered to reflect a clustering induced by the cutting the dendrogram at a particular threshold, and have the dendrogram plotted alongside the matrix? I know how to plot the dendrogram in scipy, but not how to plot the intensity matrix of data with the right scale bar next to it. Any help on this would be greatly appreciated.

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  • Jquery qtip ajax issue

    - by user272899
    Hi All, I am trying to post the value of an input box (In this case a imdb link) to my imdbgrabber.php page and have it return the info of that movie into a qtip box. Everything works fine until i try and post the variable to the imdbgrabber page. This is the code. Javascript: var link = $("#link").val(); var imdbLink = 'link='+ link; $(".moviebox").qtip({ style: { name: 'cream' }, content: { method: 'GET', data: imdbLink, url: '/includes/imdbgrabber.php', text: '<img class="throbber" src="/images/loading.gif" alt="Loading..." />' }, position: { corner: { target: 'bottomright', tooltip: 'bottomleft' } } }); HTML: <!--start moviebox--> <div class="moviebox"> <a href="#"> <img src="http://1.bp.blogspot.com/_mySxtRcQIag/S6deHcoChaI/AAAAAAAAObc/Z1Xg3aB_wkU/s200/rising_sun.jpg" /> <form method="get" action=""> <input type="text" name="link" id="link" style="display:none" value="http://www.imdb.com/title/tt0367882"/> </form> </a> </div> <!--end moviebox--> and finally the php: <?php $url=$_GET['link']; //$url = 'http://www.imdb.com/title/tt0367882/'; //get the page content $imdb_content = get_data($url); //parse for product name $name = get_match('/<title>(.*)<\/title>/isU',$imdb_content); $director = strip_tags(get_match('/<h5[^>]*>Director:<\/h5>(.*)<\/div>/isU',$imdb_content)); $plot = get_match('/<h5[^>]*>Plot:<\/h5>(.*)<\/div>/isU',$imdb_content); $release_date = get_match('/<h5[^>]*>Release Date:<\/h5>(.*)<\/div>/isU',$imdb_content); $mpaa = get_match('/<a href="\/mpaa">MPAA<\/a>:<\/h5>(.*)<\/div>/isU',$imdb_content); $run_time = get_match('/Runtime:<\/h5>(.*)<\/div>/isU',$imdb_content); $rating = get_match('/<div class="starbar-meta">(.*)<\/div>/isU',$imdb_content); ////build content //$content = '<h2>Film</h2><p>'.$name.'</p>' // . '<h2>Director</h2><p>'.$director.'</p>' // . '<h2>Plot</h2><p>'.substr($plot,0,strpos($plot,'<a')).'</p>' // . '<h2>Release Date</h2><p>'.substr($release_date,0,strpos($release_date,'<a')).'</p>' // . '<h2>MPAA</h2><p>'.$mpaa.'</p>' // . '<h2>Run Time</h2><p>'.$run_time.'</p>' // . '<h2>Full Details</h2><p><a href="'.$url.'" rel="nofollow">'.$url.'</a></p>'; //gets the match content function get_match($regex,$content) { preg_match($regex,$content,$matches); return $matches[1]; } //gets the data from a URL function get_data($url) { $ch = curl_init(); $timeout = 5; curl_setopt($ch,CURLOPT_URL,$url); curl_setopt($ch,CURLOPT_RETURNTRANSFER,1); curl_setopt($ch,CURLOPT_CONNECTTIMEOUT,$timeout); $data = curl_exec($ch); curl_close($ch); return $data; } ?> <!--start infobox--> <div class="info"> <span> <?php echo '<strong>'.$name.'</strong>' ?> </span> <img src="http://1.bp.blogspot.com/_mySxtRcQIag/S6deHcoChaI/AAAAAAAAObc/Z1Xg3aB_wkU/s200/rising_sun.jpg" /> <div class="plot"> <?php echo ''.substr($plot,0,strpos($plot,'<a')).'</div>' ?> </div> <div class="runtime"> <?php echo'<strong>Run Time</strong><br />'.$run_time.'</div>' ?> </div> <div class="releasedate"> <?php echo '<strong>Release Date</strong><br />'.substr($release_date,0,strpos($release_date,'<a')).'</div>' ?> </div> <div class="director"> <?php echo '<strong>Director</strong><br />'.$director.'' ?> </div> <div class="rating"> <?php echo '<strong>Rating</strong><br />'.$rating.'' ?> </div> </div> <!--end infobox--> I am sure it is a simple mistake somewhere but after hours of looking i thought i would ask the experts.

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  • problem plotting on logscale in matplotlib in python

    - by user248237
    I am trying to plot the following numbers on a log scale as a scatter plot in matplotlib. Both the quantities on the x and y axes have very different scales, and one of the variables has a huge dynamic range (nearly 0 to 12 million roughly) while the other is between nearly 0 and 2. I think it might be good to plot both on a log scale. I tried the following, for a subset of the values of the two variables: fig = plt.figure(figsize(8, 8)) ax = fig.add_subplot(1, 1, 1) ax.set_yscale('log') ax.set_xscale('log') plt.scatter([1.341, 0.1034, 0.6076, 1.4278, 0.0374], [0.37, 0.12, 0.22, 0.4, 0.08]) The x-axes appear log scaled but the points do not appear -- only two points appear. Any idea how to fix this? Also, how can I make this log scale appear on a square axes, so that the correlation between the two variables can be interpreted from the scatter plot? thanks.

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  • Undefined offset PHP error

    - by user272899
    I am recieving the following error: Notice indefined offset 1: in C:\wamp\www\includes\imdbgrabber.php line 36 the code is for getting information from IMDB. The link is posted to the page using ajax on another page, I have tested that i am getting the correct response using echo $url <?php $url = $_GET['link']; echo $url; //$url = 'http://www.imdb.com/title/tt0367882/'; //get the page content $imdb_content = get_data($url); //parse for product name $name = get_match('/<title>(.*)<\/title>/isU',$imdb_content); $director = strip_tags(get_match('/<h5[^>]*>Director:<\/h5>(.*)<\/div>/isU',$imdb_content)); $plot = get_match('/<h5[^>]*>Plot:<\/h5>(.*)<\/div>/isU',$imdb_content); $release_date = get_match('/<h5[^>]*>Release Date:<\/h5>(.*)<\/div>/isU',$imdb_content); $mpaa = get_match('/<a href="\/mpaa">MPAA<\/a>:<\/h5>(.*)<\/div>/isU',$imdb_content); $run_time = get_match('/Runtime:<\/h5>(.*)<\/div>/isU',$imdb_content); $rating = get_match('/<div class="starbar-meta">(.*)<\/div>/isU',$imdb_content); ////build content //$content = '<h2>Film</h2><p>'.$name.'</p>' // . '<h2>Director</h2><p>'.$director.'</p>' // . '<h2>Plot</h2><p>'.substr($plot,0,strpos($plot,'<a')).'</p>' // . '<h2>Release Date</h2><p>'.substr($release_date,0,strpos($release_date,'<a')).'</p>' // . '<h2>MPAA</h2><p>'.$mpaa.'</p>' // . '<h2>Run Time</h2><p>'.$run_time.'</p>' // . '<h2>Full Details</h2><p><a href="'.$url.'" rel="nofollow">'.$url.'</a></p>'; //gets the match content function get_match($regex,$content) { preg_match($regex,$content,$matches); return $matches[0]; } //gets the data from a URL function get_data($url) { $ch = curl_init(); $timeout = 5; curl_setopt($ch,CURLOPT_URL,$url); curl_setopt($ch,CURLOPT_RETURNTRANSFER,1); curl_setopt($ch,CURLOPT_CONNECTTIMEOUT,$timeout); $data = curl_exec($ch); curl_close($ch); return $data; } ?> <!--start infobox--> <div class="info"> <span> <?php echo '<strong>'.$name.'</strong>' ?> </span> <!-- <img src="http://1.bp.blogspot.com/_mySxtRcQIag/S6deHcoChaI/AAAAAAAAObc/Z1Xg3aB_wkU/s200/rising_sun.jpg" /> --> <div class="plot"> <?php echo ''.substr($plot,0,strpos($plot,'<a')).'</div>' ?> </div> <div class="runtime"> <?php echo'<strong>Run Time</strong><br />'.$run_time.'</div>' ?> </div> <div class="releasedate"> <?php echo '<strong>Release Date</strong><br />'.substr($release_date,0,strpos($release_date,'<a')).'</div>' ?> </div> <div class="director"> <?php echo '<strong>Director</strong><br />'.$director.'' ?> </div> <div class="rating"> <?php echo '<strong>Rating</strong><br />'.$rating.'' ?> </div> </div> <!--end infobox-->

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  • How to create a function with vectors and vertical asymptote using MATLAB

    - by Pedro J Trinidad
    Plot the function f(x) = 1.5x / x-4 for -10 equal or less than X equal or less than 10. Notice that the function have a vertical asymptote at x = 4. Plot the function by creating two vectors for the domain of x. The first vector (call it x1) with elements from -10 to 3.7, and the second vector (calle it x2) with elements from 4.3 to 10. For each of the X vector create a Y vector (call them y1 and y2) with the corresponding values of Y according to the function. To plot the function make two curves in the same plot (y1 vs. x1 and y2 vs. x2).

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  • Matplotlib: plotting discrete values

    - by Arkapravo
    I am trying to plot the following ! from numpy import * from pylab import * import random for x in range(1,500): y = random.randint(1,25000) print(x,y) plot(x,y) show() However, I keep getting a blank graph (?). Just to make sure that the program logic is correct I added the code print(x,y), just the confirm that (x,y) pairs are being generated. (x,y) pairs are being generated, but there is no plot, I keep getting a blank graph. Any help ?

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  • Conditionally colour data points outside of confidence bands in R

    - by D W
    I need to colour datapoints that are outside of the the confidence bands on the plot below differently from those within the bands. Should I add a separate column to my dataset to record whether the data points are within the confidence bands? Can you provide an example please? Example dataset: ## Dataset from http://www.apsnet.org/education/advancedplantpath/topics/RModules/doc1/04_Linear_regression.html ## Disease severity as a function of temperature # Response variable, disease severity diseasesev<-c(1.9,3.1,3.3,4.8,5.3,6.1,6.4,7.6,9.8,12.4) # Predictor variable, (Centigrade) temperature<-c(2,1,5,5,20,20,23,10,30,25) ## For convenience, the data may be formatted into a dataframe severity <- as.data.frame(cbind(diseasesev,temperature)) ## Fit a linear model for the data and summarize the output from function lm() severity.lm <- lm(diseasesev~temperature,data=severity) jpeg('~/Desktop/test1.jpg') # Take a look at the data plot( diseasesev~temperature, data=severity, xlab="Temperature", ylab="% Disease Severity", pch=16, pty="s", xlim=c(0,30), ylim=c(0,30) ) title(main="Graph of % Disease Severity vs Temperature") par(new=TRUE) # don't start a new plot ## Get datapoints predicted by best fit line and confidence bands ## at every 0.01 interval xRange=data.frame(temperature=seq(min(temperature),max(temperature),0.01)) pred4plot <- predict( lm(diseasesev~temperature), xRange, level=0.95, interval="confidence" ) ## Plot lines derrived from best fit line and confidence band datapoints matplot( xRange, pred4plot, lty=c(1,2,2), #vector of line types and widths type="l", #type of plot for each column of y xlim=c(0,30), ylim=c(0,30), xlab="", ylab="" )

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  • show() doesn't redraw anymore

    - by Abruzzo Forte e Gentile
    Hi All I am working in linux and I don't know why using python and matplotlib commands draws me only once the chart I want. The first time I call show() the plot is drawn, wihtout any problem, but not the second time and the following. I close the window showing the chart between the two calls. Do you know why and hot to fix it? Thanks AFG from numpy import * from pylab import * data = array( [ 1,2,3,4,5] ) plot(data) [<matplotlib.lines.Line2D object at 0x90c98ac>] show() # this call shows me a plot #..now I close the window... data = array( [ 1,2,3,4,5,6] ) plot(data) [<matplotlib.lines.Line2D object at 0x92dafec>] show() # this one doesn't shows me anything

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  • pyplot.scatter changes the data limits of the axis

    - by Erotemic
    I have some code which plots some points. I substituted ax.scatter for ax.plot so I could control the color of each point individually. However when I make this change the axis x and y ranges seem to increase. I can't pinpoint why this is happening. The only thing I've changed is plot to scatter. This code makes an axis that is too big ax.scatter(x, y, c=color_list, s=pts_size, marker='o', edgecolor='none') #ax.plot(x, y, linestyle='None', marker='o', markerfacecolor=pts_color, markersize=pts_size, markeredgewidth=0) This code does the right thing (but I can't control the color) #ax.scatter(x, y, c=color_list, s=pts_size, marker='o', edgecolor='none') ax.plot(x, y, linestyle='None', marker='o', markerfacecolor=pts_color, markersize=pts_size, markeredgewidth=0) Is there a way I can call scatter such that it doesn't mess with my current axis limits?

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  • Using ggplot in R

    - by g256
    I have a time series cvs file like this (in var there are the values): Hour,Date,Type,val1,val2,val3,val4,val5,val6..... 0100,0153,aaa, 0100,0153,bbb, 0100,0153,ccc, 0100,0153,ddd, 0200,0153,aaa, 0200,0153,bbb, 0200,0153,ccc, 0200,0153,ddd, . . 0100,0154,aaa, 0100,0154,bbb, 0100,0154,ccc, 0100,0154,ddd, . . I would like to use ggplot to plot the barplot mean of the time series of val1,val2,... for each type. One plot for each type except for ccc and ddd that should be considered as one type, so for this I should first sum up the value, then take the mean, then plot). So three plot at the end. Thanks for advice.

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