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  • Handwritten linked list is segfaulting and I don't understand why

    - by Born2Smile
    Hi I was working on a bit of fun, making an interface to run gnuplot from within c++, and for some reason the my linked list implementation fails. The code below fails on the line plots-append(&plot). Stepping through the code I discovered that for some reason the destructor ~John() is called immediately after the constructor John(), and I cannot seem to figure out why. The code included below is a stripped down version operating only on Plot*. Originally I made the linked list as a template class. And it worked fine as ll<int and ll<char* but for some reason it fails as ll<Plot*. Could youp please help me figure out why it fails? and perhaps help me understand how to make it work? In advance: Thanks a heap! //B2S #include <string.h class Plot{ char title[80]; public: Plot(){ } }; class Link{ Plot* element; Link* next; Link* prev; friend class ll; }; class ll{ Link* head; Link* tail; public: ll(){ head = tail = new Link(); head-prev = tail-prev = head-next = tail-next = head; } ~ll(){ while (head!=tail){ tail = tail-prev; delete tail-next; } delete head; } void append(Plot* element){ tail-element = element; tail-next = new Link(); tail-next-prev = tail; tail-next = tail; } }; class John{ ll* plots; public: John(){ plots= new ll(); } ~John(){ delete plots; } John(Plot* plot){ John(); plots-append(plot); } }; int main(){ Plot p; John k(&p); }

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  • make: invoke command for multiple targets of multiple files?

    - by marvin2k
    Hi, I looking to optimize an existing Makefile. It's used to create multiple plots (using Octave) for every logfile in a given directory using an scriptfile for every plot which takes a logfilename as an argument. In the Moment, I use one single rule for every kind of plot available, with a handwritten call to Octave, giving the specific scriptfile/logfile as an argument. It would be nice, if every plot has "his" octave-script as a dependency (plus the logfile, of course), so only one plot is regenerated if his script is changed. Since I don't want to type that much, I wonder how I can simplifiy this by using only one general rule to build "a" plot? To make it clearer: Logfile: "$(LOGNAME).log" Scriptfile: "plot$(PLOTNAME).m" creates "$(LOGNAME)_$(PLOTNAME).png" The first thing I had in mind: %1_%2.png: %1.log $(OCTAVE) --eval "plot$<2('$<1')" But this seems not to be allowed. Could someone give me a hint?

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  • Excel 2007: plot data points not on an axis/ force linear x-incrementation without altering integrity of non-linear data

    - by Ennapode
    In Excel, how does one go about plotting points that don't have an x component that is an x-axis label? For example, in my graph, the x-components are derived from the cosine function and aren't linear, but Excel is displaying them as if .0016 to .0062 to .0135 is an equal incrementation. How would I change this so that the x-axis has an even incrementation without altering the integrity of the points themselves? In other words, how do I plot a point with an x component independent from the x-axis label?

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  • How can I plot a radius of all reachable points with pathfinding for a Mob?

    - by PugWrath
    I am designing a tactical turn based game. The maps are 2d, but do have varying level-layers and blocking objects/terrain. I'm looking for an algorithm for pathfinding which will allow me to show an opaque shape representing all of the possible max-distance pixels that a mob can move to, knowing the mob's max pixel distance. Any thoughts on this, or do I just need to write a good pathfinding algorithm and use it to find the cutoff points for any direction in which an obstacle exists?

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  • How do I plot individual pixels using the XNA APIs?

    - by izb
    If I wanted to fill my game screen with individually coloured pixels, how would I do this? For example, if I wanted to write a 'game of life'-type game where each pixel was a cell, how would I achieve this using XNA? I've tried just calling SetData() on a Texture2D object using a screen-sized array of Color values, but it complains with: You may not call SetData on a resource while it is actively set on the GraphicsDevice. Unset it from the device before calling SetData. How do I do as it asks? Or better still... is there an alternative, better, efficient way to fill a screen with arbitrary pixels?

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  • How can I plot a radius of all reachable points with pathfinding for a Mob (XNA)?

    - by PugWrath
    I am designing a tactical turn based game. The maps are 2d, but do have varying level-layers and blocking objects/terrain. I'm looking for an algorithm for pathfinding which will allow me to show an opaque shape representing all of the possible max-distance pixels that a mob can move to, knowing the mob's max pixel distance. Any thoughts on this, or do I just need to write a good pathfinding algorithm and use it to find the cutoff points for any direction in which an obstacle exists?

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  • R: ggplot2, how to add a number of layers to a plot at once to reduce code

    - by John
    library(ggplot2) This code produces a nice looking plot: qplot(cty, hwy, data = mpg, colour = displ) + scale_y_log2() + labs(x="x axis") + labs(y="y axis") + opts(title = "my title") But I want to setup variables to try and to reduce code repetition: log_scale <- scale_y_log2() xscale <- labs(x="x axis") yscale <- labs(y="y axis") title <- opts(title = "my title") my_scales <- c(log_scale, xscale, yscale, title) # make a variable to hold the scale info changes above So that I can do this and add a bunch of things at the same time: qplot(cty, hwy, data = mpg, colour = displ) + my_scales # add these to your plot. but I get this error: Error in object$class : $ operator is invalid for atomic vectors I realize that the things going into my_scales need to be layers / different types of objects, but I don't see what they should be.

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  • How do I plot more than one series using qplot?

    - by celenius
    I'm trying to understand how to have more than one series on a plot, using the following data. Year <- c('1950', '1960', '1970', '1980') Bus <- c(10,20,30,40) Bus.sd <- c(1.1, 2.2, 3.3, 4.4) Car <- c(20, 20, 40, 40) Car.sd <- c(1.1, 2.2, 3.3, 4.4) sample_data = data.frame(Year, Bus, Bus.sd, Car, Car.sd) qplot(Year, Bus, data=sample_data, geom="pointrange", ymin = Bus - Bus.sd/2, ymax = Bus + Bus.sd/2) For example, using the above data, how do I show both sample_data$Bus and sample_data$Car on the same plot in different colors? What I tried doing was: p <- qplot(...) then p <- p + qplot(...) where I replicated the previous line, but this gave me an error. I don't fully understand how AES works. I have studied the ggplot2 examples, but have difficulty understanding the relevant examples here.

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  • How can I make a group bar plot in ggplot2?

    - by maximusyoda
    I have four of these kind of dataframes each with a different name (Apple,Ball,Cat) with different values of frequency but same 4 season names Seasons Frequency DJF 9886 JJA 5408 MAM 12876 SON 6932 And I am trying to make a group bar plot. The graph I'm looking for is like this, where c,d,e,f will be the names - Apple, Ball, Cat. Y-axis will be Frequency Each group will have 4 bars: DJF,JJA,MAM,SON Filled by seasons The number of Frequency written above the bar plot. How can I format the data to make it suitable for ggplot (cbind, melt etc) and use it in ggplot?

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  • I want to make a 2D color plot showing stress magnitude (S) at very loctaion (x, y) based on continuous color change using limited data sets

    - by Alex Liu
    friends, I have to trouble you as I couldn't find a solution after trying for a long time. I have 3 columns of data. x, y, and the stress value (S) at every point (x, y). I want to generate a 2D color plot displaying continuous color change with the magnitude of the stress (S). The stress values increase from -3*10^4 Pa to 4*10^4 Pa. I only have hundreds of data sets for an area, but I want to see the stress magnitude (read from the color) at every location (x, y). What Matlab command should I use? Thank you very much! I want to make a 2D color plot showing stress magnitude (S) at very loctaion (x, y) based on continuous color change using limited

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  • How can I plot an iteration coordinate(x,y) data with only label in GNUplot?

    - by Mojiiz Alamode
    I have the set of data like this 0 268 195 1 353 199 2 318 209 3 268 232 4 370 238 5 326 253 6 246 265 7 372 284 8 313 290 9 258 297 0 268 196 1 353 199 2 318 209 3 268 233 4 370 238 5 325 253 6 246 265 7 372 284 8 313 290 9 258 297 I would like to use first column for label and second and third for (x,y) plot, however, I would like to plot only one time label without iteration. How should I do? Thank you for help.

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  • Are there mapping utilities out there that will let me import geo position data (lat/long) and plot the points on a map?

    - by GregH
    I have a data file with a bunch of lat/long positions. Is there any mapping software out there (google maps, etc) that will allow me to import the positions from the file and plot them on a map? I would be this can be done through google maps but I'm not sure how to do it. I just want something that I can use quickly with a minimal amount of programming to do. I don't need to annotate anything. Just view where the points are on the map. I'm just wondering if there is something already available out there to import into google maps.

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  • In gnuplot, how to plot with lines but skip missing data points?

    - by Anna
    I've got a value associated to each day, as such: 120530 70.1 120531 69.0 120601 69.2 120602 69.5 # and so on for 200 lines When plotting this data in gnuplot with lines, the data points are nicely connected. Unfortunately, at places over a week of data points can be missing. Gnuplot draws long lines over these intervals. How can I make gnuplot only connect points on consecutive days? Solutions that require preprocessing of the data are fine, as I already smooth it with a script. Here is what I use: set xdata time set timefmt "%y%m%d" plot "vikt_ma.txt" using 1:2 with lines title "first line", \\ "" using 1:3 with lines title "second line" Example:

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  • How to plot the graph(line) from a file in java?

    - by kiran
    I have a directory containing list of files. Those files have some list of values as x and y ordered as line by line. And my question is just I would like to read those files one by one and to plot line graphs based on those values. Could you please help me for that?

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  • Plotting Tweets from DB in Ruby, grouping by hour.

    - by plotti
    Hey guys I've got a couple of issues with my code. I was wondering that I am plotting the results very ineffectively, since the grouping by hour takes ages the DB is very simple it contains the tweets, created date and username. It is fed by the twitter gardenhose. Thanks for your help ! require 'rubygems' require 'sequel' require 'gnuplot' DB = Sequel.sqlite("volcano.sqlite") tweets = DB[:tweets] def get_values(keyword,tweets) my_tweets = tweets.filter(:text.like("%#{keyword}%")) r = Hash.new start = my_tweets.first[:created_at] my_tweets.each do |t| hour = ((t[:created_at]-start)/3600).round r[hour] == nil ? r[hour] = 1 : r[hour] += 1 end x = [] y = [] r.sort.each do |e| x << e[0] y << e[1] end [x,y] end keywords = ["iceland", "island", "vulkan", "volcano"] values = {} keywords.each do |k| values[k] = get_values(k,tweets) end Gnuplot.open do |gp| Gnuplot::Plot.new(gp) do |plot| plot.terminal "png" plot.output "volcano.png" plot.data = [] values.each do |k,v| plot.data << Gnuplot::DataSet.new([v[0],v[1]]){ |ds| ds.with = "linespoints" ds.title = k } end end end

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  • How can I draw a log-normalized imshow plot with a colorbar representing the raw data in matplotlib

    - by Adam Fraser
    I'm using matplotlib to plot log-normalized images but I would like the original raw image data to be represented in the colorbar rather than the [0-1] interval. I get the feeling there's a more matplotlib'y way of doing this by using some sort of normalization object and not transforming the data beforehand... in any case, there could be negative values in the raw image. import matplotlib.pyplot as plt import numpy as np def log_transform(im): '''returns log(image) scaled to the interval [0,1]''' try: (min, max) = (im[im > 0].min(), im.max()) if (max > min) and (max > 0): return (np.log(im.clip(min, max)) - np.log(min)) / (np.log(max) - np.log(min)) except: pass return im a = np.ones((100,100)) for i in range(100): a[i] = i f = plt.figure() ax = f.add_subplot(111) res = ax.imshow(log_transform(a)) # the colorbar drawn shows [0-1], but I want to see [0-99] cb = f.colorbar(res) I've tried using cb.set_array, but that didn't appear to do anything, and cb.set_clim, but that rescales the colors completely. Thanks in advance for any help :)

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  • Is there a way to show a 3-D surface plot in the browser?

    - by Phage
    I've got a bunch of data for 3-D surface plots. I want to build a quick web interface to let me browse through that data. Are there any (free) packages out there that can easily show surface plots? I found this question but the suggested libraries did not support surface plots. If it requires a plugin like flash / java that is fine. This is for prototyping so a quick 'n dirty solution is preferred. Right now, the only option I have come up with is to use gnuplot to serve up static images. It would be awesome if there was some way to provide an interactive 3-D surface plot in the browser.

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  • ORE graphics using Remote Desktop Protocol

    - by Sherry LaMonica
    Oracle R Enterprise graphics are returned as raster, or bitmap graphics. Raster images consist of tiny squares of color information referred to as pixels that form points of color to create a complete image. Plots that contain raster images render quickly in R and create small, high-quality exported image files in a wide variety of formats. However, it is a known issue that the rendering of raster images can be problematic when creating graphics using a Remote Desktop connection. Raster images do not display in the windows device using Remote Desktop under the default settings. This happens because Remote Desktop restricts the number of colors when connecting to a Windows machine to 16 bits per pixel, and interpolating raster graphics requires many colors, at least 32 bits per pixel.. For example, this simple embedded R image plot will be returned in a raster-based format using a standalone Windows machine:  R> library(ORE) R> ore.connect(user="rquser", sid="orcl", host="localhost", password="rquser", all=TRUE)  R> ore.doEval(function() image(volcano, col=terrain.colors(30))) Here, we first load the ORE packages and connect to the database instance using database login credentials. The ore.doEval function executes the R code within the database embedded R engine and returns the image back to the client R session. Over a Remote Desktop connection under the default settings, this graph will appear blank due to the restricted number of colors. Users who encounter this issue have two options to display ORE graphics over Remote Desktop: either raise Remote Desktop's Color Depth or direct the plot output to an alternate device. Option #1: Raise Remote Desktop Color Depth setting In a Remote Desktop session, all environment variables, including display variables determining Color Depth, are determined by the RCP-Tcp connection settings. For example, users can reduce the Color Depth when connecting over a slow connection. The different settings are 15 bits, 16 bits, 24 bits, or 32 bits per pixel. To raise the Remote Desktop color depth: On the Windows server, launch Remote Desktop Session Host Configuration from the Accessories menu.Under Connections, right click on RDP-Tcp and select Properties.On the Client Settings tab either uncheck LimitMaximum Color Depth or set it to 32 bits per pixel. Click Apply, then OK, log out of the remote session and reconnect.After reconnecting, the Color Depth on the Display tab will be set to 32 bits per pixel.  Raster graphics will now display as expected. For ORE users, the increased color depth results in slightly reduced performance during plot creation, but the graph will be created instead of displaying an empty plot. Option #2: Direct plot output to alternate device Plotting to a non-windows device is a good option if it's not possible to increase Remote Desktop Color Depth, or if performance is degraded when creating the graph. Several device drivers are available for off-screen graphics in R, such as postscript, pdf, and png. On-screen devices include windows, X11 and Cairo. Here we output to the Cairo device to render an on-screen raster graphic.  The grid.raster function in the grid package is analogous to other grid graphical primitives - it draws a raster image within the current plot's grid.  R> options(device = "CairoWin") # use Cairo device for plotting during the session R> library(Cairo) # load Cairo, grid and png libraries  R> library(grid) R> library(png)  R> res <- ore.doEval(function()image(volcano,col=terrain.colors(30))) # create embedded R plot  R> img <- ore.pull(res, graphics = TRUE)$img[[1]] # extract image  R> grid.raster(as.raster(readPNG(img)), interpolate = FALSE) # generate raster graph R> dev.off() # turn off first device   By default, the interpolate argument to grid.raster is TRUE, which means that what is actually drawn by R is a linear interpolation of the pixels in the original image. Setting interpolate to FALSE uses a sample from the pixels in the original image.A list of graphics devices available in R can be found in the Devices help file from the grDevices package: R> help(Devices)

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