imagine I have this two datasets in Graphite:
My.Host.DataTable.*_CurrentConnections
My.Host.DataTable.*_MaxPermittedConnections
I need to plot 1 line for each of the data points (both have the same size) representing the usage percentage for each point.
I was trying to do this: asPercent(My.Host.DataTable.*_CurrentConnections, My.Host.DataTable.*_MaxPermittedConnections), but it looks like it only works when the second value is static.
Any ideas?
Related
Suppose i have a plot like the following:
I want to get the portion of the data where the majority (say 90%) of the data lay, for example, i want to isolate the plot into something like:
in which the points lay in the black frame contributes to (90%) of the data.
How can i do this in R?
Edited for comment:
What if i have the following plot:? the majority part probably start from 0.
I am attempting to generate heatmaps from a data file I've been generating. I could re-format the data however I like, but for the time being, let's say it's a list of 16 numbers that I'd like put into a 4x4 heatmap. However, I have many sets of these 16 numbers sequentially in the same file, and hope to eventually animate them together (something I am more comfortable with, and will come later)
However, for the time being, I cannot find a way to get GnuPlot to select only certain sections of the data file while still plotting properly. A loose example of what I would've thought it WOULD look like:
plot "SortedData.txt" every ::0::15 w image
or:
splot "SortedData.txt" every ::0::15
Both give me errors and fail to render. I could label the data values with an x-y coordinate if needed, but the task is fairly repetitive: I just want the first 16 points mapped, and then the ability to iterate once and have the next 16 points mapped on their own, etc. Stripping the data file to just the first 16 points and removing the 'every' command confirms that it can plot, but trying to specify even just the first 16 manually messes it up.
Can anyone point me in the right direction? The "every" command has been fairly nebulous and seems largely incompatible with images / 3-D data. Also, I am running on Windows, so piping in linux commands is something I'd like to avoid.
Thanks!
edit: Here is 4 example frames of the data. Reformatting it to, say, present as a matrix or label with pixel addresses are all something I can do if needed.
0.000000 -49.314654 -44.425234 -46.613870 -48.494232 -46.884806 -46.553071 -46.555624 -43.755972 -47.817691 -42.481637 -46.819782 -44.347586 -49.487077 -47.291832 -45.140636 -47.945934
0.839906 -49.325396 -44.425493 -46.613214 -48.501283 -46.887236 -46.550858 -46.555285 -43.752786 -47.814706 -42.453793 -46.814333 -44.329492 -49.493501 -47.289394 -45.133555 -47.944045
1.679721 -49.336151 -44.425787 -46.612573 -48.508348 -46.889684 -46.548645 -46.554958 -43.749626 -47.811707 -42.425757 -46.808866 -44.311344 -49.499930 -47.286951 -45.126476 -47.942155
2.519466 -49.346920 -44.426117 -46.611946 -48.515427 -46.892152 -46.546431 -46.554641 -43.746492 -47.808695 -42.397525 -46.803382 -44.293140 -49.506365 -47.284501 -45.119398 -47.940264
It seems that each line in your data file has 17 elements. I assume that the first column is not part of your image data. I would format the remaining 16 values as a 4x4 matrix, with each frame separated by two blank lines:
-49.314654 -44.425234 -46.613870 -48.494232
-46.884806 -46.553071 -46.555624 -43.755972
-47.817691 -42.481637 -46.819782 -44.347586
-49.487077 -47.291832 -45.140636 -47.945934
-49.325396 -44.425493 -46.613214 -48.501283
-46.887236 -46.550858 -46.555285 -43.752786
-47.814706 -42.453793 -46.814333 -44.329492
-49.493501 -47.289394 -45.133555 -47.944045
-49.336151 -44.425787 -46.612573 -48.508348
-46.889684 -46.548645 -46.554958 -43.749626
-47.811707 -42.425757 -46.808866 -44.311344
-49.499930 -47.286951 -45.126476 -47.942155
-49.346920 -44.426117 -46.611946 -48.515427
-46.892152 -46.546431 -46.554641 -43.746492
-47.808695 -42.397525 -46.803382 -44.293140
-49.506365 -47.284501 -45.119398 -47.940264
You can then visualize each frame with the command
plot "data.dat" index FRAME matrix w image
where FRAME is 0, 1, 2 or 3.
A little bit of background first, I am currently working with a SAS script that creates graphics showing the changes in DVI (Difference Vegetation Index) over a certain period of time for different regions and for different types of crops.
For hay, I want to add vertical lines to the graphic showing when it was mowed during that period of time. In the table containing the variables used to create the graphics (day, DVI, region) there is also a variable containing the days where the hay got mowed.
I know that I can use href = X in proc gplot, but how can I use the values in my table so that it creates vertical lines based on the time of mowing for each region?
Thanks
I want to plot stacked column graph through Shinobi.
Please referer attached screen shot for desired graph.
Can anyone please suggest how to pass data point for the same.
Disclaimer: I am a developer at Shinobi Controls.
To get columns to stack you need to create a series for each column you wish to stack.
To get the series to stack, you must set each series' "stackIndex" property to the same value.
For example, in your image you will need 5 SChartColumnSeries with their "stackIndex" value set to the same value, lets say 1.
Now you can add one datapoint for each series with the same X value but with different Y values.
I'm trying to generate a map that looks like this in R:
The boxes represent individual observations, while the colors represent data pertaining to those individual observations. Anyone have any idea how this might be accomplished?