I'm trying to plot a grid of squares given in the following format
{'p0a0': [[1255.1929931640625, 1430.1819458007812, 1428.170166015625, 1253.1811828613281, 1255.1929931640625], [407.78900146484375, 409.629638671875, 600.617431640625, 598.7767791748047, 407.78900146484375]], 'p0a1': ....} and once plotted it should look like this
I'm trying to pyqtgraph.PlotDataItem.setData() method. My idea was to use a for loop to iterate over all the keys in the dictionary and plot all the grid points (squares) in the same plot but, the setData() method inherently any clears previous data before plotting. Resulting in giving me the following output only one square is highlighted instead of all 64 squares
So, my question is how do I bypass the built-in resting when I call .setData() method? or If that can't be done, would anyone have a suggestion to go arround it?
I tryed giving the whole dictionary but, it didn't work. also I tried other ploting items but, couldn't find anything that works for my requiremnts.
Related
Apologies if this is a dupe, I've been searching for over an hour but the search terms are all really broad and I just keep getting the same results. Also I'm fairly new to matlab so apologies for any misunderstandings.
Anywho, I have a matlab program which needs to frequently save an image generated from a matrix, but I just can't figure out how to do that without displaying it first. Basically I'm caught in between two functions, image and imwrite, both only do half of what I want.
image is able to take my matrix and create the desired output, but it just displays it to a figure window
imwrite is able to save an image to a file without displaying it, but the image is completely wrong and I can't find any parameters that would fix it.
Other questions I've seen deal with using imread and managing figures and stuff, but I'm just doing (for example)
matrix = rand(20);
colormap(winter);
image(matrix, 'CDataMapping', 'scaled');
or
matrix = rand(20);
imwrite(matrix, winter(256), 'filename.png');
Is there some way to call the image function such that it doesn't display a figure window and then gets saved to a file? Something analogous to calling imshow and then savefig in matplotlib.
Just do this:
matrix = rand(20);
f = figure('visible', 'off');
colormap(winter);
image(matrix, 'CDataMapping', 'scaled');
print(f, '-dpng', 'filename.png');
I've created a matrix chart using D3.js and I'm having a bit of difficulty creating a sort of grouped "axis" (although I'm not sure I can call it an axis?).
This JS Bin shows the current route I've chosen. Essentially what I've done is to create 3 separate lines to create the "axis". Ideally I would like to use the d3.axis object but I'm not sure how I would go about achieving this.
Although this current method does work it feels dirty - I also have concerns about scaling. Does anyone have a better suggestion of how to approach this?
The end result is something along these lines (notice labels below lines):
you can use
.scale(x).tickValues(xVals)
where xVals are the array of values
Here may be this demo will help you
I've encountered such a problem, and hope you guys could help me out here.
I have a plot in my GUI, contained multiple lines with different linspecs and a group of legends.
And I've made a context menu which should allow users to open the EXACTLY same plot(retaining all line settings, title, legends, and so forth) in a new window(default figure, where it is able to save/edit the figure).
However I couldn't find a simple way to migrate the plot, except re-run the plot commands which is quite complicated(plot different data, etc.)
So, I am looking for the solution in the following two ways:
is there a simple way to migrate the plot into new figure window?
or is it possible to save the plot directly with current interface?
For 2, I'd like to clarify that I only want to save the plot, not all GUI interface. I've tried saveas(handle.Plot,...) but it saved the GUI interface as an entity.
I hope the point has been made clear, thanks for your time. Cheers.
For this task you can probably use the builtin Matlab function copyobj which does exactly this (i.e. the first option mentionned in your question).
The following piece of code demonstrates its usage:
h1=figure;
a1=plot((1:100),rand(1,100),'r-');
hold on
plot((1:100),rand(1,100),'b+');
legend({'plot1';'plot2'});
h2=figure;
copyobj(get(h1,'children'),h2);
Hope it works as well in your case.
UPDATE: as far as I understand this, your second solution would involve the saveas function which unfortunately works with the figure environment and not with axes (as you experienced it). So a workaround would probably involve copying the desired axes to a new figure with the method given above and then use saveas.
I define values for the variables and call the function, it returns the output image in the figure. But when i want to test another set of data, the output image will come out, it's together with the previous output image. How can i solve it, do i need to add what code at the end of the function file?
Either close all before your generate the new figure if you're not interested in the old output figure, or make a figure call before creating the new image to ensure it pops up in a new figure window. Or, you can overwrite the current open figure by setting hold off first, although that's specifically for graphs.
I need to plot and display several jpeg images in a single combined display (or canvas?). For example, suppose I have images {a,b,c,d}.jpg, each of different size, and I would like to plot them on one page in a 2x2 grid. It would be also nice to be able to set a title for each subplot.
I've been thoroughly looking for a solution, but couldn't find out how to do it, so any ideas would really help. I would preferably use a solution that is based on the EBImage package.
There are two ways how to arrange several plots with base graph functions, namely par(mfrow=c(rows,columns)) (substitute rows and columns with integers) and layout(mat) where mat is a matrix like matrix(c(1,2,3,4)).
For further info see ?par, ?layout, and especially Quick-R: Combining Plots.
However, as your question is about images I don't know if it helps you at all. If not, I am sorry for misinterpreting your question.
To add to Henriks solution, a rather convenient way of using the par() function is:
jpeg(filename="somefile.jpg")
op <- par(mfrow=c(2,2)
#plot the plots you want
par(op)
dev.off()
This way, you put the parameters back to the old state after you ran the code. Be aware of the fact this is NOT true if one of the plots gave an error.
Be aware of the fact that R always put the plots in the same order. Using mfrow fills the grid row by row. If you use mfcol instead of mfrow in the code, you fill up column by column.
Layout is a whole different story. Here you can define in which order the plots have to be placed. So layout(matrix(1:4,nrow=2) does the same as par(mfcol=c(2,2)). But layout(matrix(c(1,4,3,2),ncol=2)) places the first plot lefttop, the next one rightbottom, the third one righttop, and the last one leftbottom.
Every plot is completely independent, so the titles you specify using the option main are printed as well. If you want to have more flexibility, you should take a look at lattice plots.
If you do not want the images in a regular grid (the different sizes could imply this), then you might consider using the subplot function from the TeachingDemos package. The last example in the help page shows using an image as a plotting character, just modify to use your different images and sizes/locations.
The ms.image function (same package) used with my.symbols is another possibility.