As I have asked in the this question, I'm trying to plot curves varying according to different quantities, and I am mapping these quantities to the color and shape aesthetics.
However, when I do that, the dots having triangle shape look more transparent than the circular dots.
How can I solve this issue?
PS: I'm using the same code & dataset I have given in the linked question.
Related
So right now I've got this plot:
my plot
(sorry it's not inline image, this is my first time on Stack Overflow and it wouldn't let me post images)
The plot is produced with this code:
ggplot(potassium.data,
aes(x=Experiment,y=value,
colour=Pedigree))+geom_jitter()+labs(title=element)
The problem is, there are 31 different maize pedigrees being plotted here, so it's difficult to distinguish the colors from each other. I was wondering if it's possible to make it so that the color and shape of the point are used to uniquely identify a pedigree, so that for example one pedigree is red squares, another is red circles, a third one is blue squares, a fourth is blue circles, and so on. This would make it far easier to distinguish the points. Anyone know how to do this?
I don't think thats possible, if you do the shaping by pedigree you will just end up with as many categories of shapes as you have colors now.
geom_label() and geom_text() would let you plot the cultivar id directly onto the plot, then maybe you could build a separate column for something equivalent to genus, so that the cultivars could be grouped somehow (maybe A, B, PH, etc). Then you could color by that "genus" column, which would make the plot look better:
ggplot(potassium.data,
aes(x=Experiment,y=value, label=Pedigree, colour = genus))+
geom_label(position = position_jitter())+
labs(title=element)
Ideally you would end up with a plot colored by the genus while only plotting the suffix digits currently in Pedigree.
I have to agree with Nathan and Joran, the plot is quite confusing by having so many different points and adding shapes into the mix is unlikely to help.
To answer your question you should be able to use shape=pedigree, but maybe to make the graph more readable you could join the pedigrees from one experiment to the other with a geom_line so the reader spends less time scanning.
In PyQtGraph, GLScatterPlotItem, I would like the points to not blend color together when the points overlap. I want to see the closest point, and not the ones behind.
I have asked for the colors to be opaque (alpha = 1.0), but when the dots in a plot overlap, the color just turns a shade of magenta, even if all the points in that region arevery similar color.
Here's an example:
plt = gl.GLScatterPlotItem(pos=coords, color = colors, size=5, pxMode=True)
where colors are a sort of 'heat map' that range from red to blue.
The plot I get is this:
You can see there is some red, but everywhere the points really overlap, the color goes weird.
On the other hand, if I do the simple modification of size=1, then the colors are nice, but the dots are tiny, and can be hard to see:
This is exactly the same data both time. You can start to see a little of the magenta color over to the left and rear where point desity is high, but other than that, the colors are correct.
How can I prevent the magentification of my plots?
Thanks a bunch!
OpenGL is probably rendering dots additively and saturating. Try:
plt.setGLOptions('opaque')
I ran into this as well; the default options are pretty for volumetric data, but aren't great for dense point clouds from surfaces. If you figure out something even better, i.e. local patches with illumination, post back about it!
I want to do different color edges in polygon star. How do I this? I prepared easy sample for you in Print. That's here :
http://i.hizliresim.com/LpGmYj.png
Just a guess, but what if you convert the star to curves, break the curve apart and color each side separately? Then you could group the separate curves to move/scale them together.
I was wondering if anybody had much experience with the function bplot in R, I am making a 3d plot and the plot works fine. The only thing I want to change is the gradient of colour which you get from drape=TRUE. At the moment it has a single pink colour fading into blue, I really need a third colour in the middle to highlight the central data better as this is the most important for my study, and at the moment in some of the plots I am doing its too difficult to pick out and correlate with the level of y in the colour scale bar.
Does anybody have any idea how to do this?
I need more reputation to post an image of the plot but you can see what I mean in the second image of this thread.
Plot Regression Surface
Many thanks
Aaron
Try adding a colorRampPalette argument to your plot like so:
col.regions = colorRampPalette(colors=c("red","yellow"))(1000)
This will give you a gradient of 1000 shades between red and yellow, You can use any of the R colors in the color ramp, and you can specify more than two e.g.colors=c("red","orange3","palegoldenrod") if you like. You should put this argument at the same place you are putting drape=TRUE
I am writing a graph plotting program. I thus am looking ways to obtain colours that are distinguishable to each other in order to plot various graphs in one cell.
Is there an algorithm or some website that obtains rgb values that matches this criteria?
EDIT: I am looking for 16 different colours
For an automatic solution, you can take one color as the base color and obtain good matching colors by changing the hue in the HSV/HSB color space. If you need 4 colors for example you could rotate the hue by 90° for each color.
If the number of lines on the graph isn't too large (i.e. you can pick colours by hand), I rather like this (http://colorschemedesigner.com/) for choosing colours that work together, but stand out from each other.