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Search found 239 results on 10 pages for 'plotting'.

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  • Scientific Plotting in Python

    - by user100046
    I have a large data set of tuples containing (time of event, latitude, longitude) that I need to visualize. I was hoping to generate a 'movie'-like xy-plot, but was wondering if anyone has a better idea or if there is an easy way to do this in Python? Thanks in advance for the help, --Leo

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  • R graphics plotting a linegraph with date/time horizontally along x-axis

    - by user2978586
    I want to get a linegraph in R which has Time along x and temperature along y. Originally I had the data in dd/mm/yyyy hh:mm format, with a time point every 30 minutes. https://www.dropbox.com/s/q35y1rfila0va1h/Data_logger_S65a_Ania.csv Since I couldn't find a way of reading this into R, I formatted the data to make it into dd/mm/yyyy and added a column 'time' with 1-48 for all the time points for each day https://www.dropbox.com/s/65ogxzyvuzteqxv/temp.csv This is what I have so far: temp<-read.csv("temp.csv",as.is=T) temp$date<-as.Date(temp$date, format="%d/%m/%Y") #inputting date in correct format plot(temperature ~ date, temp, type="n") #drawing a blank plot with axes, but without data lines(temp$date, temp$temperature,type="o") #type o is a line overlaid on top of points. This stacks the points up vertically, which is not what I want, and stacks all the time points (1-48) for each day all together on the same date. Any advice would be much appreciated on how to get this horizontal, and ordered by time as well as date.

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  • Anyone plotting SO via code_swarm?

    - by Tim Post
    Is anyone working on something to render individual questions, or SO as a whole with codeswarm? If so, can you post a link to your work that transforms SO questions into revisions that codeswarm can understand (i.e. svn?) It would be really, really cool to see SO played (as a whole) via codeswarm, so I hope to not only ask if anyone is working it, but see if anyone is interested in trying to accomplish it. Augmenting that, will database dumps be made available? EDIT: Database dumps have since been made available :) Enough with user voice, is anyone doing it? If so, what VCS did you mock?

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  • Matlab: plotting frequency distribution with a curve

    - by Kaly
    I have to plot 10 frequency distributions on one graph. In order to keep things tidy, I would like to avoid making a histogram with bins and would prefer having lines that follow the contour of each histogram plot. I tried the following [counts, bins] = hist(data); plot(bins, counts) But this gives me a very inexact and jagged line. I read about ksdensity, which gives me a nice curve, but it changes the scaling of my y-axis and I need to be able to read the frequencies from the y-axis. Can you recommend anything else?

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  • perl: tk: a way/widget that allows pixel level control over the output

    - by chhh
    I want something like a canvas, but where i'd be able to manipulate pixels easily in addition to all the provided geometries, that can be drawn on canvas. Is it possible to embed something like GD::Image into a canvas? So then I maybe could make the image transparent and set some pixels in it (GD::Image-setPixel()) positioning it over the canvas? ps: well, that doesn't necessarily have to be perl, as there seem to be bindings for all the libs for most scripting (and not only) languages.

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  • Graphing perpendicular offsets in a least squares regression plot in R

    - by D W
    I'm interested in making a plot with a least squares regression line and line segments connecting the datapoints to the regression line as illustrated here in the graphic called perpendicular offsets: http://mathworld.wolfram.com/LeastSquaresFitting.html I have the plot and regression line done here: ## 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) ## Fit a linear model for the data and summarize the output from function lm() severity.lm <- lm(diseasesev~temperature,data=severity) # Take a look at the data plot( diseasesev~temperature, data=severity, xlab="Temperature", ylab="% Disease Severity", pch=16 ) abline(severity.lm,lty=1) title(main="Graph of % Disease Severity vs Temperature") Should I use some kind of for loop and segments http://www.iiap.res.in/astrostat/School07/R/html/graphics/html/segments.html to do the perpendicular offsets? Is there a more efficient way? Please provide an example if possible.

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  • Matlab plot inside a loop

    - by Macarse
    I am doing something like this: a = [1:100]; for i=1:100, plot([1:i], a(1:i)); end My issue is that the plot is not shown until the loop is finish. How can I show/update the plot in every iteration?

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  • R: How to plot data grouped by a factor, but not as a boxplot

    - by amarillion
    In R, given a vector casp6 <- c(0.9478638, 0.7477657, 0.9742675, 0.9008372, 0.4873001, 0.5097587, 0.6476510, 0.4552577, 0.5578296, 0.5728478, 0.1927945, 0.2624068, 0.2732615) and a factor: trans.factor <- factor (rep (c("t0", "t12", "t24", "t72"), c(4,3,3,3))) I want to create a plot where the data points are grouped as defined by the factor. So the categories should be on the x-axis, values in the same category should have the same x coordinate. Simply doing plot(trans.factor, casp6) does almost what I want, it produces a boxplot, but I want to see the individual data points.

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  • rs232 communication, general timing question

    - by Sunny Dee
    Hi, I have a piece of hardware which sends out a byte of data representing a voltage signal at a frequency of 100Hz over the serial port. I want to write a program that will read in the data so I can plot it. I know I need to open the serial port and open an inputstream. But this next part is confusing me and I'm having trouble understanding the process conceptually: I create a while loop that reads in the data from the inputstream 1 byte at a time. How do I get the while loop timing so that there is always a byte available to be read whenever it reaches the readbyte line? I'm guessing that I can't just put a sleep function inside the while loop to try and match it to the hardware sample rate. Is it just a matter of continuing reading the inputstream in the while loop, and if it's too fast then it won't do anything (since there's no new data), and if it's too slow then it will accumulate in the inputstream buffer? Like I said, i'm only trying to understand this conceptually so any guidance would be much appreciated! I'm guessing the idea is independent of which programming language I'm using, but if not, assume it is for use in Java. Thanks!

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  • Tools for visualizing and implementing elliptic curve cryptography

    - by LL
    I need to create a program which will show how elliptic curve cryptography works. I was considering using Java Swing to create the GUI, but the main problem is what tool to use to plot the elliptic curve itself, and how to integrate that with Java Swing. I would like the plot to be included in the user interface and also allow changes to be made to it. Can you suggest any tools that would help with this?

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  • Plot smooth line with PyPlot

    - by Paul
    I've got the following simple script that plots a graph: import matplotlib.pyplot as plt import numpy as np T = np.array([6, 7, 8, 9, 10, 11, 12]) power = np.array([1.53E+03, 5.92E+02, 2.04E+02, 7.24E+01, 2.72E+01, 1.10E+01, 4.70E+00]) plt.plot(T,power) plt.show() As it is now, the line goes straight from point to point which looks ok, but could be better in my opinion. What I want is to smooth the line between the points. In Gnuplot I would have plotted with smooth cplines. Is there an easy way to do this in PyPlot? I've found some tutorials, but they all seem rather complex.

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  • R: How to plot a vector, grouped by a factor

    - by amarillion
    In R, given a vector casp6 <- c(0.9478638, 0.7477657, 0.9742675, 0.9008372, 0.4873001, 0.5097587, 0.6476510, 0.4552577, 0.5578296, 0.5728478, 0.1927945, 0.2624068, 0.2732615) and a factor: trans.factor <- factor (rep (c("t0", "t12", "t24", "t72"), c(4,3,3,3))) I want to create a plot where the data points are grouped as defined by the factor. So the categories should be on the x-axis, values in the same category should have the same x coordinate. Simply doing plot(trans.factor, casp6) does almost what I want, it produces a boxplot, but I want to see the individual data points.

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  • Plotter: What is fixed - the height or the width

    - by Jayan
    I am fixing some printing (plotter) problems in our java code(windows 32). The paper is 50 meter roll , loaded on to plotter. The paper It 36 inch "wide". I am printing image 36inch by 108 inch. When I print what is with height and width I can use? [ FYI. The testing is done using print to file, No paper is wasted :) ] Thanks, Jayan

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  • making binned boxplot in matplotlib with numpy and scipy in Python

    - by user248237
    I have a 2-d array containing pairs of values and I'd like to make a boxplot of the y-values by different bins of the x-values. I.e. if the array is: my_array = array([[1, 40.5], [4.5, 60], ...]]) then I'd like to bin my_array[:, 0] and then for each of the bins, produce a boxplot of the corresponding my_array[:, 1] values that fall into each box. So in the end I want the plot to contain number of bins-many box plots. I tried the following: min_x = min(my_array[:, 0]) max_x = max(my_array[:, 1]) num_bins = 3 bins = linspace(min_x, max_x, num_bins) elts_to_bins = digitize(my_array[:, 0], bins) However, this gives me values in elts_to_bins that range from 1 to 3. I thought I should get 0-based indices for the bins, and I only wanted 3 bins. I'm assuming this is due to some trickyness with how bins are represented in linspace vs. digitize. What is the easiest way to achieve this? I want num_bins-many equally spaced bins, with the first bin containing the lower half of the data and the upper bin containing the upper half... i.e., I want each data point to fall into some bin, so that I can make a boxplot. thanks.

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  • Control the size of points in an R scatterplot?

    - by Nick
    In R, the plot() function takes a pch argument that controls the appearance of the points in the plot. I'm making scatterplots with tens of thousands of points and prefer a small, but not too small dot. Basically, I find pch='.' to be too small, but pch=19 to be too fat. Is there something in the middle or some way to scale the dots down somehow?

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  • Setting `axes.linewidth` without changing the `rcParams` global dict

    - by mlvljr
    So, it seems one cannot do the following (it raises an error, since axes does not have a set_linewidth method): axes_style = {'linewidth':5} axes_rect = [0.1, 0.1, 0.9, 0.9] axes(axes_rect, **axes_style) and has to use the following old trick instead: rcParams['axes.linewidth'] = 5 # set the value globally ... # some code rcdefaults() # restore [global] defaults Is there an easy / clean way (may be one can set x- and y- axes parameters individually, etc)? P.S. If no, why?

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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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  • MATLAB: Can axes tick labels be accesed as text objects?

    - by yuk
    I'm curious is it possible to change text properties of tick labels independently of axes properties. Do they have handles? I'd like to control their position better, alignment, color, fonts, etc. I know I can substitute them with text labels, but it has some drawbacks. Any alternative solutions? Particularly, is it possible to put xticklabels between ticks, that are irregular? plot(1:100) set(gca,'xtick',[30 45 53 70 95]) grid on I need to put xticklabels in the middle between grids.

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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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  • Putting newline in matplotlib label with TeX in Python?

    - by user248237
    How can I add a newline to a plot's label (e.g. xlabel or ylabel) in Matplotlib? For example, plt.bar([1, 2], [4, 5]) plt.xlabel("My x label") plt.ylabel(r"My long label with $\Sigma_{C}$ math \n continues here") Ideally i'd like the y-labeled to be centered too. Is there a way to do this? It's important that the label have both tex (enclosed in '$') and the newline. thanks.

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  • R multi plot log-log Label Problem

    - by ACEnglish
    I'm trying to make a graph of a table and graph it in log space. First of all, plot(dat) gives me the grid of graphs Second of all, plot(dat, log="xy") gives me the correct plots of data in log space However, plot(dat, log="xy") ruins the main diagonal's labels of names(dat) R version 2.11.0

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  • making errorbars not clipped in matplotlib with Python

    - by user248237
    I am using matplotlib in Python to plot a line with errorbars as follows: plt.errorbar(xvalues, up_densities, yerr=ctl_sds, fmt='-^', lw=1.2, markersize=markersize, markeredgecolor=up_color, color=up_color, label="My label", clip_on=False) plt.xticks(xvalues) I set the ticks on the x-axis using "xticks". However, the error bars of the last point in xvalues (i.e. xvalues[-1]) are clipped on the right -- meaning only half an error bar appears. This is true even with the clip_on=False option. How can I fix this, so that the error bars appear in full, even though their right side is technically outside xvalues[-1]? thanks.

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