I am trying to visualize results from varying three different parameters using gnuplot. I can produce a 4D plot by using an xyz scatter plot with color as the fourth dimension. Now what I want to do is to take the limited data I have and produce higher quality images. As seen below, if I angle the 4D plot in just the right way I can get what looks like a series of 3D plots along one dimension. Is there a way I can individually interpolate these 3D slices and obtain smoothed planar surfaces for the cross-sections instead of the scatter plot form I currently have?
4D Scatter Plot Angled to Look Like 3D Cross-Sections:
New in version 5.4 (please try and report on the release candidate!)
http://gnuplot.sourceforge.net/demo_5.4/voxel.html
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Unsure if a polar plot is exactly what I should be using to accomplish this. But, essentially, I have multiple time-series (just amplitude vs. time), each corresponding to a different angle in degrees. For example, I have ampl. vs time at 5 degrees, 10 degrees, 15, etc. For angles 0 to 360 at increments of 5, I would like to plot each time series on a circular, or polar plot.
I am attempting to do this with matplotlib and the projection='polar' flag on. There are 8000 amplitude values for each time-series. They are in a numpy array called data. To test plotting the time-series associated with 5-degrees, I made a numpy array of 8000 5's with 5*np.ones(8000) so that they are the same length.
thetas=np.arange(0,365,5) #make 0 to 360 degrees at increments of 5
ax=plt.subplot(111,projection='polar') #turn on polar projection
ax.plot(5*np.ones(8000),data)
plt.show()
I get:
You can see these data are not plotting along the 5-degree line, nor does it look like any amplitudes are showing (there should be squiggles up and down varying with time). Thank you in advance!
EDIT: Example of what I want (each color line is a different time-series)
I have a dataset that has x,y,z columns. I have created surface plot using gnuplot and contour on top and bottom as see below. Here is the dataset: https://www.dropbox.com/s/8evj5da7yco1xmo/datx.dat?dl=0
Below is the plot from the data in the link.
I'm trying to create a contour plot like the one below with contours on the side, how do I accomplish this in gnuplot?
Here is the solution http://gnuplot-tricks.blogspot.com/2010/ but I'm unable to replicate it for my dataset.
I'm looking to make do the following with my 2D graph as shown: I want to make a surface plot of gamma vs. J vs h. However I am not sure how to incorporate h. gamma and J are arrays made up of 26 points each. How do I make h fit into this plot if it only has one specific value for each plot?
in my final paper I needed to create a 3d graph, on this occasion the graph was a cross of latitude, longitude and radioactive intensity. I used the plotly, check if it's help you plotly documentation.
My graph created with this biblioteca
I am trying to read an input image using octave and plot its RGB values as a 3 dimension plot.
I am reading image using
im = imread('image')
How can I plot this?
Also, is it possible to plot a histogram of all the 3 layers?
Thanks
As already stated, the Octave API doc gives you an MxNx3 matrix data set of your image.
The R/G/B channels are the last dimensions of your im matrix. hist needs 1d input, so we'll need to reshape it:
hist(reshape(im(:,:,1),1,[])) # red
hist(reshape(im(:,:,2),1,[])) # green
hist(reshape(im(:,:,3),1,[])) # blue
About the 3D plot: do you mean a 3D scatter plot? Then Octave's scatter3 might help you.
I want to project a 3D plot into a 2D plot. Assuming f(x,y) describes my 3D plot, I want to treat y as a parameter and simultaneously plot f(x,0), f(x,2), f(x,4), etc. in one 2D plot. Instead of going for different line/point styles and colors with a legend in a corner, I'd like to make each plot in the same style and place a label next to each individual line.
Is this even possible in gnuplot or would I have to fall back on something more complex?
I had a similar question recently. There is an option in the development version of gnuplot (4.7.0) that does this. You can change the position of line titles to be at the end/beginning of the line itself. If your plot looks like I imagine (sort of a contour plot) this may be what you want:
plot f(x,y) title 'f(x,y)' at end
Otherwise you may have to specify the labels and their positions manually:
help set label
for more info.